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Forex volatility

Sergey Golubev
ModeratorSergey Golubev#1  

I am not sure what you mean about volatility and how to measure it but there are some articles/video/indicators:

EES V Speed - indicator for MetaTrader 4
"V (Volatility) Speed is an indicator that displays the current high-low (range) of each bar on the chart, and displays it in the data window below with a smoothed average of the past x(3) bars. 3 is the default, the longer the period the more long term the value, in other words if you want a short term volatility indication to signal an increase in volatility, a lower number should be used."

"EES recommends using this indicator as a measure of volatility, and to signal an increase or decrease in volatility by watching the SMA. A cross up (when the SMA is below the V Speed line and crosses above it) of the SMA indicates a decrease in volatility and conversely, a cross down indicates an increase. The SMA values can be adjusted according to the specific pair and time frame used. V Speed can be referenced by strategies as an indication of volatility."

more to follow
Sergey Golubev
ModeratorSergey Golubev#2  

Forum on trading, automated trading systems and testing trading strategies

Indicators: EES V Speed

Sergey Golubev,

3 Reasons Volatility Might Increase(adapted from Forbes article)

Where art thou volatility? Not here, nor there, but soon to revive, me thinks. Volatility in risk markets is simply the measurement of variation in prices which is often calculated over certain time periods and against the idea of a normal distribution. The most important markers are historical (statistical) volatility and implied volatility. Historical volatility is a retrospective measurement of actual pricing variations whereas implied volatility is the theoretical price of an asset taking into account actual prices, historical volatility, a time component and the risk free rate within a pricing model such as the Black-Scholes model. Both historical and implied volatility have recently declined to cycle lows in many asset classes. The consensus call is for continued calm waters and a potential further decrease in volatility. The consensus call for tame volatility may be underestimating three potential drivers to higher volatility this year: rising inflation and Federal Reserve policy, a taper tantrum and geopolitical unknowns.

The most popular measure of market volatility in the US is the CBOE Market Volatility Index (the “VIX”) which is also known rather ominously as the “fear gauge.” The VIX measures a weighted average of the implied volatility of a wide range of S&P options with a 30 day maturity. Quite simply, the VIX is the implied volatility of the S&P and is frequently thought of as the market’s broad expectation of volatility over the next 30 day period. The VIX has been on a downward trajectory since



The VIX has an audience across asset classes as it can give insight into the short term biases and leanings of US equity market participants. To be clear, the VIX is one tool to measure perceived volatility and although a high VIX or an upward trend is most often the result of a declining equity market, the gauge can increase as well when call holders refuse to sell options absent a larger premium. Thus, the VIX can be a measure of upside or downside moves with higher numbers representing the anticipation of sharper moves. Somewhat ironically, there are many instances where higher VIX prices correlate strongly to higher prices in the S&P as the fear dissipates and markets readjust.

The VIX and other measurements of volatility have continued to trend down for many reasons including the fact that the world’s central banks have maintained highly accommodative monetary policies. The European Central Bank has just announced a program of direct asset purchases including the cessation of the “sterilization” of their current markets program. Moreover, secondary central banks like the Bank of Mexico have cut rates in an effort to spur higher inflation. Assuming a direct correlation between liquidity and volatility, all of these programs should act as a governor to higher volatility. Other reasons offered to explain the calmness in markets include exceedingly low trading volumes, range bound markets, recently improving economic data and fewer economic surprises, the transparency of corporate reporting, and the perception that there is no immediate catalyst to drive volatility higher.

Although the trend in volatility is clearly downwards, current complacency should not be mistaken for a permanent drift to lower levels without significant bumps higher and mini-reversals within the trends. Once again, investors are putting their faith into central banks which are doing the one thing that they ostensibly know how to do and have done continuously since – providing ever increasing amounts of liquidity. To be sure, the ultimate effect of non-traditional monetary policy is unknown and the Federal Reserve and the Bank of England are poised to withdraw some of their stimulus in the medium term. Already, markets are pricing in rate hikes in the US for mid yet doing so without increased volatility. It is reasonable to suggest that the greatest risk to increased volatility and general market stability may be a mismatch between Federal Reserve policies, the expectations of the bond market and microeconomic data. This triumvirate of fast friends may find itself in an increasingly uncomfortable alliance should US inflation data significantly or unexpectedly increase. Admittedly, higher US inflation in a world currently exporting deflation to US shores is not likely to result in the sustained kind. However, the prospect of Chair Yellen attempting to explain away asymmetric inflation readings as transitory should push up volatility in the bond market.

There is also sensibility in remembering that monetary policy changes frequently take longer to translate to market prices than assumed. It is quite possible that the lingering effects of central bank liquidity will not be felt as a primary cause of higher volatility but rather a second derivative premised upon some otherwise routine market upheaval. When long positions are longer and short positions are shorter, based upon liquidity rather than fundamentals, the correlation between liquidity and volatility cited as calming the markets may cut both ways. Increased liquidity may provide for smooth markets at the outset but higher levels of risk may creep upon casually disciplined risk managers and with it the miasma of higher volatility.

Another reason that volatility could creep higher is the possibility of a “taper tantrum” over the final end of Quantitative Easing. As an analogue one need only to look at the increase in volatility as measured by the VIX after QE2 ended in June of



The Federal Reserve’s “stock versus flow” argument will be put to the ultimate test assuming tapering continues apace and QE ends toward the end of

Volatility may also temporarily and dramatically increase due to unexpected geopolitical events. There is a mini civil war in Ukraine right now and it threatens to draw European powers into supporting a proxy contest for Eastern Ukraine between Russia and the West. While Europeans go about deciding where to holiday this summer, the conflict in Ukraine is likely to remain in a sort of pressure cooked stasis. Once the weather turns cold and natural gas for heating is no longer an abstraction the conflict in Ukraine will either resolve quickly or find another gear. Beyond Ukraine, nuclear negotiations with Iran continue to simmer, China and Japan yap at each other and Assad kills off his critics in Syria. Any of these issue may cause a spike in volatility and to expect all of these issues to transpire exactly as a game planned seems rather naïve.

It is true that volatility has decreased. The CBOE Commitments of Traders Report for VIX futures shows a significant net long position for financial players confirming the bias to groupthink towards increasingly lower volatility. This tendency towards anticipating ever decreasing or steadily low volatility flies in the face of the fact that the VIX currently trades at a 45% discount to its longer term historical price average of $ The odds of a temporary spike in volatility are very good over the remainder of the year and a reversal to slightly higher trend volatility is especially plausible should microeconomic conditions warrant even a slight rethink of monetary policy scenarios. To profit from volatility, is usually to buy it when it is not needed, rather than when the consensus theory is “unexpectedly” being pilloried and volatility is exploding higher.


Sergey Golubev
ModeratorSergey Golubev#3  
Bollinger Bands

The Bollinger Bands were created by John Bollinger in the late s. Bollinger studied moving averages and experimented with a new envelope (channel) indicator. This study was one of the first to measure volatility as a dynamic movement. This tool provides a relative definition of price highs/lows in terms of upper and lower bands.

The Bollinger Bands are comprised of three smooth lines. The middle line is the simple moving average, normally set as a period of 20 (number of bar/ticks in a given time period), and is used as a base to create upper/lower bands. The upper band is the middle band added to the given deviation multiplied by a given period moving average. The lower band is the middle band subtracted by the given deviation multiplied by a given period moving averages.

What can we use this for?

  1. Trend -- When price moves outside of the bands, it is believed that the current trend will continue.
  2. Volatility- The band will expand/contract as the price movement becomes more volatile/or becomes bound into tight trading patterns, respectively.
  3. Determine Oversold/Overbought Conditions -- When price continues to hit upper band, the price is deemed overbought (may suggest sell). When price continues to hit lower band, the price is deemed oversold (may suggest buy).


Sergey Golubev
ModeratorSergey Golubev#4  
Maximize Trading Profits with Correct Position Sizing 2

In today's lesson we are going to talk about another method which Dr. Van K Tharp talks about in his book Trade Your Way to Financial Freedom, the % Volatility Model for position sizing.

As we have discussed in our previous lesson on the Average True Range, Volatility is basically how much the price of a financial instrument fluctuates over a given time period. Just as the Average True Range, the indicator that was designed to represent average volatility in an instrument over a specified time, can be referenced when determining where to place your stop, it can also be used to determine how large or small a position you should trade in a given financial instrument.

To help understand how this works lets take another look at the example we used in our last lesson on the % Risk Model for position sizing, but this time determine our position size using the % Volatility Model for position sizing.

The first step in determining what your position size will be using the % Volatility Model is specifying what % of your total trading equity you will allow the volatility as represented by the ATR to represent. For this example we will say that we will allow Daily Volatility as represented by the ATR to account for a maximum of a 2% loss of trading capital.

If you remember from the example used in our last lesson we had $, in trading capital and we are looking to sell crude oil which in that example was trading at $90 a barrel. After pulling up a chart of crude oil and adding the ATR you see that the current ATR for Crude is $ As you may also remember from our last lesson a 1 point or 1 cent move in Crude equals $10 per contract. So with this in mind that volatility in dollars per contract for crude equals $10X which is $

So as 2% of our trading capital that we are willing to risk on a volatility basis equals $ under this model we cannot put a position on in this instance and would have to pass up the trade.

As Dr. Van Tharp states in his book, the advantage of this model is that it standardizes the performance of a portfolio by volatility or in other words does not allow financial instruments with a higher volatility to have a greater affect on performance than financial instruments with a lower volatility and vice versa.


Sergey Golubev
ModeratorSergey Golubev#5  

Volatility - indicator for MetaTrader 5

"A volatility indicator displays the amount of the corridor price movements for N period in points."

Sergey Golubev
ModeratorSergey Golubev#6  

Chaikin Volatility (CHV) - indicator for MetaTrader 5

Forum on trading, automated trading systems and testing trading strategies

Indicators: Chaikin Volatility (CHV)

Sergey Golubev,

Chaikin Volatility

========

Introduction

In , stockbroker Marc Chaikin commenced his career on Wall Street. Successful and bright, he started to look into technical analysis as an alternative to fundamental research. He was the one that came up with several financial indicators that nowadays took his name. Now famous, the Chaikin Oscillator, the Chaikin Accumulation/Distribution indicator, the Chaikin Persistence of Money Flow indicator and the Chaikin Volatility indicator are used by traders across the world to analyze and forecast market movements.

Essential assumptions

The Chaikin Volatility Indicator (CVI) is helpful in determining the value extent between high and low prices on a certain period of time. It measures the volatility of a market which means it shows the predictability percentage of that market. Different from the Average True Range, the CVI does not take into considerations the trading gaps.
In general, Chaikin Volatility Indicator is used in conjunction with a moving average system and on a given period of time, commonly 10 days.

Trading Signals

In trading, the Chaikin Volatility indicator is used to quantify the degree of certitude about the next market progression. Calculated as the percent change in a moving average of the high versus low price over a given time, the CVI may forecast a market top and a bottom. As the indicator increases in value, the market is highly volatile (uncertain, variable) and it could predict a market bottom. Contrarily, as the CVI decreases and it ranges a narrow band, the market is said to be less volatile, more secure and prone to reach a top. A market bottom is reached when prices vary a lot from a short time period to another (hours, days) and people become anxious and begin to sell securities. The market top is a secure and flourishing moment with high prices (or a price explosion expected), also which follows a bull market and is determined over a longer time period by the high CVI.

Interpretation

As the Chaikin Volatility indicator measures the instability of the stock market, its high values indicates that prices are changing fast and a lot during the day. Prices are constant when the indicator has low values. Basically, the flatter the CVI line on a graph, the more constant and secure the prices are.

A graphed market time period may have level prices or trendy prices. When a market is choppy, prices are variable and the market is insecure and contrarily, a trendy market tends to have an explosion/implosion of prices, following a trend – going up, or down. Both trendy and choppy markets can have high or low volatility on a certain time period, hence the 10 day generally used interval. This way, traders can better observe the true volatility of the market.

Sometimes, elevated volatility values are used in forecasting a trend reversal, such as a turning point in the market. Volatility peaks and abysses determine market tops and bottoms, points after which a new trend begins, be it upwards or downwards. Consequently, inferior volatility levels may be used to reflect the beginning of an upward price trend, which usually happens after a market consolidation period.

Conclusion

Although some traders believe that markets movements are random, there are several mathematical rules that apply. Stockbroker Marc Chaikin has used simple mathematics to find financial indicators that are helpful in forecasting market trends. With the Chaikin Volatility Indicator, traders everywhere may input data in a facile formula to calculate and estimate when markets reach tops and bottoms. The CVI is calculated by the recurrence of price movements (high vs. low) on a time period. As the indicator rises, so does the market volatility (can be triggered by massive security sales) which in turn triggers a chain reaction followed by a bear market, that in the end leads to a market bottom; as the CVI decreases and its line flattens, the market loses volatility and becomes more secure, ergo prices begin to increase, which consequently create a bull market, that usually leads to a market top.


Sergey Golubev
ModeratorSergey Golubev#7  
Christian Schuller
Christian Schuller#8  
Sergey Golubev:

I am not sure what you mean about volatility and how to measure it but there are some articles/video/indicators:

EES V Speed - indicator for MetaTrader 4
"V (Volatility) Speed is an indicator that displays the current high-low (range) of each bar on the chart, and displays it in the data window below with a smoothed average of the past x(3) bars. 3 is the default, the longer the period the more long term the value, in other words if you want a short term volatility indication to signal an increase in volatility, a lower number should be used."

"EES recommends using this indicator as a measure of volatility, and to signal an increase or decrease in volatility by watching the SMA. A cross up (when the SMA is below the V Speed line and crosses above it) of the SMA indicates a decrease in volatility and conversely, a cross down indicates an increase. The SMA values can be adjusted according to the specific pair and time frame used. V Speed can be referenced by strategies as an indication of volatility."

more to follow

Hi,

maybe measure it with standard deviation etc.

I would like to see a measurement for volatility and a comparison to other currency pairs.

Currently, over the past candles and maybe with a forecast.

Sergey Golubev
ModeratorSergey Golubev#9  

Chaikin Oscillator Colored Area - indicator for MetaTrader 5

Chaikin Oscillator Colored Area - indicator for MetaTrader 5

Capture Profits Using Bands and Channels

Widely known for their ability to incorporate volatility and capture price action, Bollinger Bands® have long been a favorite of Forex traders. However, there are other technical options that traders in the currency markets can apply to capture profitable opportunities in swing action.

Lesser-known band indicators such as Donchian channels, Keltner channels, and STARC bands are all used to isolate such opportunities. Also used in the futures and options markets, these technical indicators have a lot to offer given the vast liquidity and technical nature of the FX forum.

Key Takeaways

  • The Donchian channel uses a moving average to signal uptrends on upper band breaks and downtrends on a lower band breaks.
  • The Keltner channel uses the average-true range or volatility; breaks above or below the top and bottom barriers signal a continuation.
  • STARC bands help to determine the higher probability trades so that a break of the upper band signals a lower-risk sell and a higher-risk buy.
  • When price declines to the STARC lower band, it's a lower-risk buy opportunity and a high-risk sell situation.

Differing in underlying calculations and interpretations, each study is unique because it highlights different components of the price action. Here we explain how Donchian channels, Keltner channels, and STARC bands work and how traders can use them to their advantage in the FX market.

Donchian Channels

Donchian channels are price channel studies that are available on most charting packages and can be profitably applied by both novice and expert traders. Although the application was intended mostly for the commodity futures market, these channels can also be widely used in the FX market to capture short-term bursts or longer-term trends.

Created by Richard Donchian, considered to be the father of successful trend-following, the study contains the underlying currency fluctuations and aims to place profitable entries upon the start of a new trend through penetration of either the lower or upper band. Based on a period moving average (and thus sometimes referred to as a moving average indicator), the application additionally establishes bands that plot the highest high and lowest low. As a result, the following signals are produced:

The theory behind the signals may seem a little confusing at first, as most traders assume that a break of the upper or lower boundary signals a reversal, but it is actually quite simple. If the current price action is able to surpass the range's high (provided enough momentum exists), then a new high will be established because an uptrend is ensuing. Conversely, if the price action can crash through the range's low, a new downtrend may be in the works. Let's look at a prime example of how this theory works in the FX markets.

In Figure 1, we see the short, one-hour time-framed euro/U.S. dollar currency pair (EUR/USD) chart. We can see that, prior to December 8, the price action is contained in tight consolidation within the parameters of the bands. Then, at 2 a.m. on December 8, the price of the euro makes a run on the session and closes above the band at Point A. This is a signal for the trader to enter a long position and liquidate short positions in the market. If entered correctly, the trader will gain almost pips in the short intraday burst.

Keltner Channels

Another great channel study that is used in multiple markets by all types of traders is the Keltner channel. The application was introduced by Chester W. Keltner (in his book How To Make Money In Commodities) and later modified by famed futures trader Linda B. Raschke. Raschke altered the application to take into account the average true range (ATR) calculation over 10 periods. The ATR measures volatility or how extensive the price moves are for a commodity or currency over a set period.

As a result, the volatility-based technical indicator bears many similarities to Bollinger Bands®. The difference between the two studies is that Keltner's channels represent volatility using the high and low prices, while Bollinger's studies rely on the standard deviation. Nonetheless, the two studies share similar interpretations and tradable signals in the currency markets.

Like Bollinger Bands®, Keltner channel signals are produced when the price action breaks above or below the channel bands. Here, however, as the price action breaks above or below the top and bottom barriers, a continuation is favored over a retracement back to the median or opposite barrier.

Let's dive further into the application by looking at the example below.

By applying the Keltner study to a daily charted British pound/Japanese yen currency cross pair (GBP/JPY), we can see that the price action breaks above the upper barrier, signaling for the trader to initiate long positions. Placing effective entries, the FX trader will have the opportunity to effectively capture profitable swings higher and at the same time, exit efficiently, maximizing profits.

No other example is more visually stunning than the initial break above the upper barrier.

STARC Bands

Also similar to the Bollinger Band® technical indicator, STARC (or Stoller Average Range Channels) bands are calculated to incorporate market volatility. Developed by Manning Stoller in the s, the bands will contract and expand depending on the fluctuations in the average true range component. The main difference between the two interpretations is that STARC bands help to determine the higher probability trade rather than standard deviations containing the price action. Simply put, the bands will allow the trader to consider higher or lower risk opportunities rather than a return to a median.

This is not to say that the price action won't go against the newly initiated position. However, STARC bands do act in the trader's favor by displaying the best opportunities. If this indicator is coupled with disciplined money management, the FX enthusiast will be able to profit by taking on lower-risk initiatives and minimizing losses. Let's take a look at an opportunity in the New Zealand dollar/U.S. dollar(NZD/USD) currency pair.

Looking at the New Zealand dollar/U.S. dollar currency pair presented in Figure 3, we see that the price action has been mounting a bullish rise over the course of November, and the currency pair looks ripe for a retracement of sorts. Here, the trader can apply the STARC indicator as well as a price oscillator (Stochastic, in this case) to confirm the trade.

After overlaying the STARC bands, the trader can see a low-risk sell opportunity as we approach the upper band at Point A. Waiting for the second candle in the textbook evening star formation to close, the individual can take advantage by placing an entry below the close of the session.

Confirming with the downside cross in the Stochastic oscillator, Point X, the trader will be able to profit almost pips in the day's session as the currency plummets from to an even Notice that the price action touches the lower band at that point, signaling a low-risk buy opportunity or a potential reversal in the short-term trend.

Putting It All Together

Now that we've examined trading opportunities using channel-based technical indicators, it's time to take a detailed look at two more examples and to explain how to capture such profit windfalls.

Donchian Channel Opportunity

In Figure 4, we see a great short-term opportunity in the British pound/Swiss franc (GBP/CHF) currency cross pair. We'll put the Donchian technical indicator to work and go through the process step by step.

These are the steps to follow:

1. Apply the Donchian channel study on the price action. Once the indicator is applied, the opportunities should be clearly visible, as you are looking to isolate periods where the price action breaks above or below the study's bands.

2. Wait for the close of the session that is potentially above or below the band. A close is needed for the setup as the pending action could very well revert back within the band's parameters, ultimately nullifying the trade.

3. Place the entry at slightly above or below the close. Once momentum has taken over, the directional bias should push the price past the close.

4. Always use stop management. Once the entry has been executed, a stop-loss order should always be considered since it can cap losses to a predetermined amount.

Applying the Donchian study in Figure 4, we find that there have been several profitable opportunities in the short time span.

Once you are in the market, you can either liquidate your short position on the first leg down or hold on to the sell. Ideally, the position would be held in retaining a legitimate risk to reward ratio. However, in the event the position is closed, you may consider a re-initiation at Point B. Ultimately, the trade will profit over pips, justifying the high stop.

Keltner Channel Opportunity

It's not just Donchians that are used to capture profitable opportunities–Keltner applications can be used as well. Taking the step-by-step approach, let's define a Keltner opportunity:

1. Overlay the Keltner channel indicator onto the price action. As with the Donchian example, the opportunities should be clearly visible, as you are looking for penetration of the upper or lower bands.

2. Establish a session close of the candle that is the closest or within the channel's parameters.

3. Place the entry four to five points outside the high or low of the session's candle.

4. Money management is applied by placing a stop slightly below the session's low or above the session's high price.

Let's apply these steps to the British pound/U.S. dollar example below.

In Figure 5, we see a very profitable opportunity in the British pound/U.S. dollar (GBP/USD) major currency pair on the daily time frame. Already testing the upper barrier twice in recent weeks, the trader can see a third attempt as the price action rises on July 27 at Point A. What needs to be obtained at this point is a definitive close above the barrier, constituting a break above and signaling the initiation of a long position.

Once the chartist receives the clear break and closes above the barrier, the entry will be placed five points above the high of the closed session (entry). This will ensure that momentum is on the side of the trade and the advance will continue.

The Bottom Line

Although Bollinger Bands® are more widely known, Donchian channels, Keltner channels, and STARC bands have proved to offer comparably profitable opportunities. By diversifying your knowledge and experience in different band-based indicators, you'll be able to seek a multitude of other opportunities in the FX market. These lesser-known bands can add to the repertoire of both the novice and the seasoned trader.

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The Exchange Rate and the Reserve Bank's Role in the Foreign Exchange Market

Last updated:

Australia has a floating exchange rate. This page discusses the Australian dollar exchange rate within the context of the Reserve Bank of Australia's monetary policy framework and the role of the Reserve Bank in the foreign exchange market.

1. What is the Exchange Rate and Why is it Important?

The exchange rate is the price of one currency expressed in terms of another currency. The two most common measures of the Australian dollar exchange rate are:

  • the bilateral exchange rate against the US dollar (AUD/USD). Trading of Australian dollars on the foreign exchange market is, like most other currencies, predominantly against the US dollar. The US dollar is also the dominant international funding currency.
  • the trade-weighted index (TWI). The TWI is not a price in terms of a single foreign currency, but a price in terms of a weighted average of a basket of currencies. The TWI will therefore give a measure of whether the Australian dollar is rising or falling on average against the currencies of Australia's trading partners. This is often a better measure of general trends in the exchange rate than any one bilateral exchange rate, such as that against the US dollar, since the Australian dollar could be rising against the US dollar but falling against other currencies. The TWI is also subject to less pronounced swings in value compared with the bilateral exchange rate against the US dollar.

The composition of the TWI basket is determined by the relative shares of different countries in Australia's trade, with the weights reviewed annually. The current composition of the TWI is shown in Table 1.

CurrencyWeights (%)
Chinese renminbi
Japanese yen
United States dollar
European euro
South Korean won
Singapore dollar
New Zealand dollar
Indian rupee
United Kingdom pound sterling
Malaysian ringgit
Thai baht
New Taiwan dollar
Indonesian rupiah
Vietnamese dong
Hong Kong dollar
Canadian dollar
United Arab Emirates dirham
Papua New Guinea kina
Swiss franc

While the AUD/USD and the Australian dollar TWI often move together, they have diverged at times (Graph 1). One notable divergence occurred during the Asian crisis in , when the AUD/USD exchange rate depreciated by much more than the TWI because the Australian dollar appreciated against the currencies of most of Australia's Asian trading partners.

Graph 1: Australian Dollar

There are many alternative exchange rate indices, which may be relevant for different purposes. For instance, rather than using the conventional TWI based on (total) trade weights, indices weighted by export shares or import shares separately might be more appropriate in some instances. Alternatively, bilateral trade weights may not provide the best basis for assessing changes in the home country's competitiveness if there are other ‘third’ countries with which the home country trades little, but with which it competes in terms of its exports in international markets. In these instances, a ‘third-country’ export-weighted exchange rate index might be more appropriate. In other circumstances, trade weights – which only include goods and services that are actually traded – could be considered inadequate if they do not correspond to countries' shares of production that could be traded (even if it is not) and hence their influence on world prices. In these instances, a GDP-weighted index may be considered preferable.

It is also worth noting that movements in broad exchange rate indices like the TWI can sometimes mask important developments in individual bilateral exchange rates or in groups of bilateral rates. For example, there has been a marked divergence in trend movements of the Australian dollar against the currencies of the G7 and against Asian currencies excluding Japan, which are the two main groups of countries in the TWI basket. Over the post-float period, the Australian dollar has depreciated against G7 currencies, but has appreciated significantly against other Asian currencies (Graph 2).

Graph 2: Australian Dollar Exchange Rate Indices

Related Reading

Becker C and M Davies (), ‘Developments in the Trade-Weighted Index’, RBA Bulletin October, pp 1–6.

Edwards K, D Fabbro, M Knezevic and M Plumb (), ‘ An Augmented Trade-weighted Index of the Australian Dollar’, RBA Bulletin, February.

Ellis L (), ‘Measuring the Real Exchange Rate: Pitfalls and Practicalities’, RBA Research Discussion Paper

Weights for the TWI

2. Why Does Australia have a Floating Exchange Rate?

Exchange rate policy in Australia shifted through several regimes before the Australian dollar was eventually floated in (Graph 3). From , Australia's currency was pegged to the UK pound, before it was changed to a peg against the US dollar in For much of this period – from to the early s – Australia's exchange rate peg operated as part of a global system of pegged exchange rates, known as the Bretton Woods system. When the Bretton Woods system broke down in the early s, the major advanced economies floated their exchange rates. However, Australia did not follow suit, in part reflecting the fact that, at that time, Australia's financial sector was relatively underdeveloped.

The Australian dollar did, however, become progressively more flexible from around the mid s. In , a decision was made to peg the Australian dollar against the TWI and in this peg was changed from a ‘hard’ peg to a crawling peg. The crawling peg involved regular adjustments to the level of the exchange rate, in contrast to the occasional discrete revaluations and devaluations that had occurred under the previous regimes.

Graph 3: Australian Dollar (Monthly)

The Australian dollar eventually floated in , for a number of reasons. First, the fixed exchange rate regime made it difficult to control the money supply. Like many other countries at that time, Australia targeted growth in the money supply, under a policy known as ‘monetary targeting’. However, under the fixed and crawling peg arrangements, the Reserve Bank was required to meet all requests to exchange foreign currency for Australian dollars, or vice versa, at the prevailing exchange rate. This meant that the supply of Australian dollars (and therefore the domestic money supply) was affected by changes in the demand for purchases and sales of Australian dollars, which could arise from Australia's international trade and capital flows. While the Reserve Bank could seek to offset these effects (through a process called sterilisation), in practice, this was often difficult to achieve. This ultimately meant that prior to the float there was significant volatility in domestic monetary conditions (Graph 4).

Graph 4: Australian Interest Rate and Exchange Rate Volatility

Floating the exchange rate addressed this problem. It meant that one of the final prerequisites for effective domestic monetary policy had been achieved (the other, namely that the government fully finance any budget deficit in the market at market interest rates, had been achieved in the early s when the Australian Government adopted a tender system for issuing bonds). While the ability to gain greater control of domestic monetary conditions was well understood at the time as one of the key benefits of floating the exchange rate, the decision to float in late occurred largely as a result of speculative pressure on the exchange rate. That is, in the lead-up to the float, there were very large capital inflows coming into Australia from speculators betting on an appreciation of the Australian dollar. This was not sustainable and the government had the choice of either tightening capital controls or floating the exchange rate. The latter was chosen as the more desirable course of action.

Consistent with obtaining better control over domestic monetary conditions, the choice of exchange rate regime can also influence the way in which economies cope with external shocks. Take for example, a sharp rise in the terms of trade (the ratio of export prices to import prices), as experienced in Australia's recent mining boom. The combination of a flexible exchange rate and independent monetary policy led to a high exchange rate and high interest rates relative to the rest of the world during that period, both of which played an important role in preserving overall macroeconomic stability. This is in contrast to previous resources booms, which typically ended with an episode of significant inflation.

In summary, the floating exchange rate regime that has been in place since is widely accepted as having been beneficial for Australia. The floating exchange rate has provided a buffer against external shocks – particularly shifts in the terms of trade – allowing the economy to absorb them without generating the large inflationary or deflationary pressures that tended to result under the previous fixed exchange rate regimes. While discretionary changes were made to the value of the Australian dollar under previous regimes in response to developing pressures, it was extremely difficult to calibrate the adjustments to provide an effective buffer against the shocks. The shift to a floating exchange rate has therefore contributed to a reduction in output volatility over the past two decades or so. Importantly, it has also enabled the Reserve Bank to set monetary policy that is best suited to domestic conditions (rather than needing to meet a certain target level for the exchange rate).

Related Reading

Atkin T, M Caputo, T Robinson and H Wang (), ‘Macroeconomic Consequences of Terms of Trade Episodes, Past and Present’, RBA Research Discussion Paper No

Ballantyne A, J Hambur, I Roberts and M Wright (), ‘Financial Reform in Australia and China’, RBA Research Discussion Paper

Debelle G and M Plumb (), ‘The Evolution of Exchange Rate Policy and Capital Controls in Australia’, Asian Economic Papers, 5(2), pp 7–

Lowe P (), ‘The Changing Structure of the Australian Economy and Monetary Policy’, Address to the Australian Industry Group 12th Annual Economic Forum, Sydney, 7 March.

Stevens G (), ‘The Australian Dollar: Thirty Years of Floating’, Address to the Australian Business Economists’ Annual Dinner, Sydney, 21 November.

3. What Determines the Behaviour of the Exchange Rate?

One important determinant of a country's trade-weighted exchange rate over the long run is whether it has a higher or lower inflation rate than its trading partners. The theory of purchasing power parity (PPP) suggests that the exchange rate between two countries will adjust to ensure that purchasing power is equalised in both countries. If a country's inflation rate is persistently higher than that of its trading partners, its trade-weighted exchange rate will tend to depreciate to prevent a progressive loss of competitiveness over time. Graph 5 demonstrates this by showing the relationship between the nominal Australian dollar TWI and the ratio of the Australian consumer price index (CPI) to the average price level of Australia's trading partners. From the mid s through to the end of the s, prices in Australia rose more quickly than prices overseas. The TWI depreciated over the same period, but a large part of this was doing no more than offsetting the cumulatively higher inflation Australia was experiencing. In other words, much of what appears to have been a potential gain in competitiveness due to the lower exchange rate was offset by Australia's relatively poor performance on inflation.

Graph 5: Exchange Rates and Relative Prices

Estimates of real exchange rates adjust for this difference in inflation rates. Between the mid s and the end of the s, when Australia's CPI was rising faster than that of its trading partners, the nominal TWI depreciated by about 50 per cent, whereas the real TWI depreciated by 30 per cent. While still subject to considerable fluctuations, movements in real exchange rates provide a better guide to changes in competitiveness than movements in nominal exchange rates. A pure purchasing power parity theory is limited to the extent that it does not capture structural factors affecting the economy, which have arguably been important in Australia's case over the past decade or so. In recognition of this, one extension of the pure purchasing power parity theory is the Balassa-Samuelson model, which predicts that countries which experience relatively rapid productivity growth in their tradable sectors will experience real exchange rate appreciation (and vice versa). While cross-country productivity differentials may have explained part of Australia's real exchange rate depreciation in the mid to late s, they are less able to explain the appreciation of the Australian dollar over the period from the mid s through to the peak of the mining boom.

Historically, one of the strongest influences on the Australian dollar has been the terms of trade. For example, a rise in the terms of trade as a result of an increase in the prices of commodities (which are an important component of Australia's exports) provides an expansionary impulse to the economy through an increase in income. The increased demand for inputs from the export sector also creates inflationary pressure. An appreciation of the exchange rate, together with higher domestic interest rates, will counteract these influences to some extent, thereby contributing to overall macroeconomic stability.

However, the strength of the relationship between the Australian dollar and the terms of trade has varied over time (Graph 6). In the first 15 years of the floating exchange rate, the relationship was on average one-for-one, but it has since weakened. This weakening has implications for the robustness of models that seek to estimate a ‘fair value’ for the Australian dollar (discussed below). Nevertheless, changes in the terms of trade still play a dominant role in explaining changes in Australia's real exchange rate.

Graph 6: Terms of Trade and Real TWI

Factors that affect capital transactions are a third major influence on the exchange rate, although their importance has tended to vary over time. There are a range of factors which affect relative rates of return on Australian dollar assets including monetary policy settings, expectations about future economic growth and inflation, the relative risk premium associated with investing in Australian dollar assets, and more broadly, investors' appetite for taking on risk. Anecdotally, there have been a number of periods since the float when relative rates of return were seen as being a major influence. One such episode occurred in the late s, when Australian real interest rates were much higher than those overseas and the exchange rate rose sharply. The second was in the late s, when Australian real interest rates fell below those in the US and the exchange rate depreciated. The third was in the first half of the s, when Australian real interest rates were again notably higher than those in the major economies, as the major economies experienced a downturn and monetary policy was eased in these countries. In the decade following the global financial crisis, relatively high real interest rates in Australia compared with in the major advanced economies were likely to have influenced the Australian dollar. Although this effect may have waned in recent years, particularly as differences in interest rates between Australia and the major advanced economies declined.

Historically, Australian interest rates have generally been higher than those in the major economies, in part because Australian dollar assets have tended to embody a higher risk premium. Changes in the size of the relative risk premium can influence the relative demand for Australian dollar assets and therefore also have a direct effect on the exchange rate. For example, the relative risk premium declined during the European debt crisis, which saw foreign demand for highly rated Australian government debt increase. This was reflected in strong capital inflows to the Australian public sector in and , which are likely to have provided some support to the Australian dollar (though these inflows were somewhat offset by outflows from the private sector over this period, Graph 7).

Graph 7: Australian Capital Flows

Empirical models of the exchange rate

While it is widely accepted that attempts to forecast exchange rates are fraught with difficulty, even attempts to model historical movements in exchange rates have met with mixed success. However, compared with some other currencies, efforts to model the Australian dollar exchange rate in the post-float era have been relatively successful in explaining medium-term movements in the currency. Two key determinants of the Australian dollar are the terms of trade and differences in interest rates between Australian and other major advanced economies.

While it is possible to identify some key determinants of the exchange rate, it is important to note that their impact can vary over time. In particular, while the terms of trade have displayed a strong correlation with the exchange rate in the post-float era, there have been periods where this relationship has not been as strong (as discussed above). This relationship was particularly weak in the late s and early s, when Australia's terms of trade was rising but the nominal and real exchange rates both declined substantially. Some part of this decline reflected the substantial appreciation in the US dollar at the time, which was in turn attributable to investors shifting their portfolios towards investment in ‘new economy’ technology assets and away from the so-called ‘old economy’ assets prevalent in Australia. However, the relationship strengthened again during the mining boom, and a notable feature of the period after the mining boom when the Australian dollar depreciated was a decline in the terms of trade.

Differences in interest rates between Australia and other major advanced economies have also helped explain movements in the Australian dollar exchange rate. The extraordinary monetary policy measures undertaken by major advanced economies following the global financial crisis are likely to have supported the Australian dollar. These policies depressed returns on low-risk assets, such as government debt, encouraging investors to search for higher yields, and demand for Australian assets increased. At times, the stock of foreign liabilities, the current account balance or economic growth differentials have been found to have an influence. In part, the changing influence of some of these variables reflects the varying focus of financial market participants.

Related Reading

Battellino R (), ‘Mining Booms and the Australian Economy’, Address to The Sydney Institute, Sydney, 23 February.

Beechey M, N Bharucha, A Cagliarini, D Gruen and C Thompson (), ‘A Small Model of the Australian Macroeconomy’, RBA Research Discussion Paper RDP

Blundell-Wignall A, J Fahrer and A Heath (), ‘The Exchange Rate, International Trade and the Balance of Payments’, in A Blundell-Wignall (ed), Major Influences on the Australian Dollar Exchange Rate, Proceedings of a Conference, Reserve Bank of Australia, Sydney, pp 30–

Chapman B, J Jaaskela and E Smith () ‘A Forward-looking Model of the Australian Dollar’, RBA Bulletin, December.

Chen Y and K Rogoff (), ‘Commodity currencies’, Journal of International Economics, vol. 60(1), pp –

Clifton K and M Plumb (), ‘Intraday Currency Market Volatility and Turnover’, RBA Bulletin, December.

Cockerell L, J Hambur, C Potter, P Smith and M Wright (), ‘Modelling the Australian Dollar’, RBA Research Discussion Paper RDP

D'Arcy P and E Poole (), ‘ Interpreting Market Responses to Economic Data’, RBA Bulletin, September.

Edwards K and M Plumb (), ‘US Economic Data and the Australian Dollar’, RBA Bulletin, July.

Gruen D (), ‘Some Possible Long-term Trends in the Australian Dollar’, RBA Bulletin December, pp 30–

Gruen D and J Wilkinson (), ‘Australia's Real Exchange Rate – Is it Explained by the Terms of Trade or by Real Interest Differentials?’, RBA Research Discussion Paper RDP

Jääskelä, J and P Smith (), ‘Terms of Trade Shocks: What are They and What Do They Do?’, RBA Research Discussion Paper RDP

Kearns J and P Manners (), ‘The Impact of Monetary Policy on the Exchange Rate: A Study Using Intraday Data’, RBA Research Discussion Paper RDP

Meese R and K Rogoff (), ‘Empirical Exchange Rate Models of the Seventies: do they fit out of sample?’, Journal of International Economics, 14(1/2), pp 3–

Reserve Bank of Australia (), ‘ Commodity Prices and the Terms of Trade’, RBA Bulletin, April, pp 1–7.

Stone A, T Wheatley and L Wilkinson (), ‘A Small Model of the Australian Macroeconomy: An Update’, RBA Research Discussion Paper RDP

4. The Exchange Rate and Monetary Policy

The exchange rate plays an important part in considerations of monetary policy in all countries. However, the exchange rate has not served as a target or an instrument of monetary policy in Australia since the s – instead, it is best viewed as part of the transmission mechanism for monetary policy. More generally, the exchange rate serves to buffer the economy from external shocks, such that monetary policy can be directed towards achieving domestic price stability and growth.

Since the early s, Australian monetary policy has been conducted under an inflation targeting framework. Under inflation targeting, monetary policy no longer targets any particular level of the exchange rate. Various measures suggest that exchange rate volatility has been higher in the post-float period (Graph 4, above). However, exchange rate flexibility, together with a number of other economic reforms – including in product and labour markets as well as reforms to the policy frameworks for both fiscal and monetary policy – has likely contributed to a decline in output volatility over this period. In particular, exchange rate fluctuations have played a particularly important role in smoothing the influence of terms of trade shocks. Similar findings have been made for other commodity producing countries.

Both through counterbalancing the influence of external shocks, and more directly, through its influence on domestic incomes and therefore demand, the exchange rate has been an important influence on inflation. Under the previous fixed exchange rate regimes, the Australian economy ‘imported’ inflation from the country (or countries) to which the exchange rate was pegged. However, the floating of the exchange rate meant that changes in world prices no longer had a direct effect on domestic prices: not only did it break the mechanical link between domestic and foreign prices, but it meant that the Reserve Bank was now able to implement independent monetary policy. Instead, under the floating exchange rate regime, movements in the exchange rate have a direct influence on inflation through changes in the price of tradable goods and services – a process commonly referred to as ‘exchange rate pass-through’. The extent of this influence has changed since the float, and since the introduction of inflation targeting. In particular, exchange rate pass-through has become more protracted in aggregate, but is faster and larger for manufactured goods, which are often imported. The observed slowdown in aggregate exchange rate pass-through is not unique to Australia, having been also found in the United Kingdom and the United States, among others.

Related Reading

Atkin T and G La Cava (), ‘The Transmission of Monetary Policy: How Does It Work?’, RBA Bulletin, September.

Chung E, M Kohler and C Lewis (), ‘ The Exchange Rate and Consumer Prices’, RBA Bulletin September Quarter, pp 9–

Grenville S (), ‘Monetary Policy and Inflation Targeting’, in P Lowe (ed), ‘ The Evolution of Monetary Policy: From Money Targets to Inflation Targets’, Proceedings of a Conference, Reserve Bank of Australia, Sydney, pp –

Gruen D and G Stevens (), ‘The Australian Economy in the s’, in D Gruen and S Shrestha (ed), ‘Australian Macroeconomic Performance and Policies in the s’, Proceedings of a Conference, Reserve Bank of Australia, Sydney, pp 1–

Heath A, I Roberts and T Bulman (), ‘The Future of Inflation Targeting’, in C Kent and S Guttmann (eds), ‘Inflation in Australia: Measurement and Modelling’, Proceedings of a Conference, Reserve Bank of Australia, Sydney, pp –

Manalo J, D Perera and D Rees (), ‘Exchange Rate Movements and the Australian Economy’, RBA Research Discussion Paper RDP

Simon J (), ‘The Decline in Australian Output Volatility’ RBA Research Discussion Paper RDP

5. The Foreign Exchange Market

Foreign exchange turnover in Australia is currently around A$ billion a day. According to the most recent global survey of foreign exchange markets (conducted by the Bank for International Settlements in April ) the Australian market is the eighth largest in the world, although the two largest – the United Kingdom and the United States – are much larger than the remainder. About half of the turnover in the Australian foreign exchange market is against the Australian dollar (Graph 8). The remaining half is largely made up of trade in major currencies against the US dollar, although trade in less traditional currencies has continued to expand.

Graph 8: Australian Foreign Exchange Turnover (Daily Average)

Between and , turnover in the Australian and global markets grew rapidly, supported by increased cross-border investment and trade flows. Following the onset of the global financial crisis, foreign exchange turnover fell in both Australia and in other major markets, driven initially by a decline in foreign exchange (FX) swaps turnover, which was in turn related to reduced cross-border investment activity (FX swaps are transactions in which parties agree to exchange two currencies on a specific date and to reverse the exchange at a later date, and are commonly used to hedge foreign exchange exposures arising from cross-border claims, Graph 9). Subsequently, the collapse in international trade in late also saw turnover in the spot market fall sharply. While between and early , foreign exchange turnover in the Australian market recovered in line with global markets, it dipped again in late amid heightened market uncertainty related to the European sovereign debt crisis. More recently, foreign exchange turnover in Australia has remained relatively stable.

Graph 9: Australian Foreign Exchange Turnover (Daily Average, by instrument)

In addition to the traditional market segment (comprising turnover in spot foreign exchange, outright forward contracts and foreign exchange swaps), other ‘non-traditional’ foreign exchange derivatives such as options and currency swaps are also traded in the Australian market. The Australian market processes around A$5 billion of transactions in these non-traditional products every day, covering a wide variety of products, ranging from very simple to more complex designs. Foreign exchange derivatives, including both traditional and non-traditional products, are an important tool for many Australian companies with foreign currency exposures, because they can be used to provide protection against adverse exchange rate movements.

As well as trading in Australia, there is considerable turnover of the Australian dollar in other markets. Global trade in the Australian dollar averaged around US$ billion per day in April (the date of the most recent global survey), making it the fifth most traded currency in the world, and the AUD/USD the fourth most traded currency pair (Graph 10). The size of the market indicates that the exchange rate is being determined in a liquid, active and competitive marketplace.

Graph Global Foreign Exchange Turnover

Related Reading

Cassidy N, K Clifton, M Plumb and B Robertson (), ‘The Australian Foreign Exchange and Derivatives Markets’, RBA Bulletin, January.

Garner M, A Nitschke and D Xu (), ‘Developments in Foreign Exchange and OTC Derivatives Markets’, RBA Bulletin, December.

Guo J, D Ranasinghe and Z Zhang (), ‘Developments in Foreign Exchange and Over-the-counter Derivatives Markets’, RBA Bulletin, December.

Heath A and J Whitelaw (), ‘Electronic Trading and the Australian Foreign Exchange Market’, RBA Bulletin, June.

Nightingale S, C Ossolinski and A Zurawski (), ‘Activity in Global Foreign Exchange Markets’, RBA Bulletin, December.

6. Why Does the Reserve Bank Intervene in the Foreign Exchange Market?

The Bank's approach to foreign exchange market intervention has evolved over the past 30 years as the Australian foreign exchange market has matured. In particular, intervention has become less frequent, as awareness of the benefits of a freely floating exchange rate has grown. These benefits rely in part upon market participants and end-users being able to effectively manage their exchange rate risk, a process requiring access to well-developed foreign exchange markets.

In the period immediately following the float, the market was at an early stage of development and the exchange rate was relatively volatile as a result. As market participants were not always well-equipped to cope with this volatility, the Bank sought to mitigate some of this volatility to lessen its effect on the economy. This period has previously been described as the ‘testing and smoothing’ phase of intervention.

But even before the end of the s, the foreign exchange market had developed significantly, and the need to moderate day-to-day volatility was much diminished. Accordingly, the focus of intervention evolved towards responding to episodes where the exchange rate was judged to have ‘overshot’ the level implied by economic fundamentals and/or when speculative forces appeared to have been dominating the market. This shift resulted in less frequent, but typically larger, transactions than those undertaken in the s (Graph 11).

Graph RBA Foreign Exchange Intervention Episodes from

As the foreign exchange market became increasingly sophisticated and market participants became better equipped to manage volatility, particularly through hedging, the threshold for what constituted an ‘overshooting’ in the exchange rate became much higher: a moderate misalignment was no longer considered sufficient to justify intervention.

More recently, intervention has been in response to episodes that could be characterised by evidence of significant market disorder – that is, instances where market functioning has been impaired to such a degree that it was clear that the observed volatility was excessive – although the Bank continues to retain the discretion to intervene to address gross misalignment of the exchange rate. In particular, on certain days during August and October/November , the Reserve Bank identified trading conditions that had become extremely disorderly, with liquidity deteriorating rapidly in the spot market even though there did not appear to be any new public information, resulting in sharp price movements between trades. Accordingly, on each of these occasions, the Reserve Bank's interventions were designed to improve liquidity in the market and thereby limit disruptive price adjustments.

Related Reading

Becker C and M Sinclair (), ‘Profitability of Reserve Bank Foreign Exchange Operations: Twenty Years After The Float’, RBA Research Discussion Paper RDP

Newman V, C Potter and M Wright (), ‘ Foreign Exchange Market Intervention’, RBA Bulletin, December.

Stevens G (), ‘The Australian Dollar: Thirty Years of Floating’, Address to the Australian Business Economists’ Annual Dinner, Sydney, 21 November.

7. How Does the Reserve Bank Intervene in the Foreign Exchange Market?

When the Reserve Bank intervenes in the foreign exchange market, it creates demand or supply for the Australian dollar by buying or selling Australian dollars against another currency. The Reserve Bank almost always conducts its intervention against the US dollar, owing to the fact that liquidity and turnover are greatest in the Australian dollar/US dollar currency pair. The Reserve Bank has the capacity to deal in foreign exchange markets around the world and in all time zones. The Reserve Bank's foreign exchange intervention transactions to date have been executed almost exclusively in the spot market. If the Reserve Bank chooses to neutralise any resulting effects on domestic liquidity conditions, foreign exchange intervention transactions can be ‘sterilised’ through offsetting transactions in the domestic money market or, as has been typically the case, through the use of foreign exchange swaps.

In large part, the approach taken by the Bank will depend on the precise objective of the intervention and, in particular, the type of signal the Bank wishes to send to the market. By using its discretion in deciding when to transact, the size of the transaction and how the transaction will be conducted, the Reserve Bank is potentially able to elicit different responses from the foreign exchange market. Generally speaking, transactions that are relatively large in size and signalled clearly are expected to have the largest effect on market conditions, with these effects further amplified if trading conditions are relatively illiquid. This is in stark contrast to the routine foreign exchange transactions undertaken by the RBA on behalf of the Government, where the express intention is to have a minimal influence on the exchange rate.

Historically, the Reserve Bank has generally chosen to intervene by transacting in the foreign exchange market in its own name, in order to inform participants of its presence in the market. This ‘announcement effect’ can itself have a significant impact on the exchange rate, as it conveys information to the market about the Reserve Bank's views on the exchange rate from a policy perspective. The intervention transactions are typically executed through the electronic broker market, or through direct deals with banks. Intervention in the broker market could involve the Reserve Bank placing a ‘bid’ or ‘offer’ (which means the market needs to move to that precise level before a deal is struck) but, if it wishes to send a stronger signal, the Reserve Bank would transact immediately in the market, either ‘giving the bid’ or ‘paying the offer’ of the broker. Direct deals with banks are similar, whereby the Reserve Bank would request a ‘two-way’ quote for a fixed amount and either ‘give the bank's bid’ or ‘pay the bank's offer’. The effects of direct transactions with banks are realised over two stages. First, after receiving a direct quote request from the Reserve Bank, banks will adjust their quotes as compensation for holding the currency the Reserve Bank is trying to sell and for bearing the potential risk that the Reserve Bank is simultaneously dealing with other banks (who would also be adjusting their quotes). For example, if the Reserve Bank wants to sell US dollars and purchase Australian dollars, banks will increase their Australian dollar offer quotes. Second, after banks have traded with the Reserve Bank, this can trigger additional price adjustments among market makers in the spot foreign exchange market.

Related Reading

Becker C and M Sinclair (), ‘Profitability of Reserve Bank Foreign Exchange Operations: Twenty Years After The Float’, RBA Research Discussion Paper RDP

Newman V, C Potter and M Wright (), ‘ Foreign Exchange Market Intervention’, RBA Bulletin, December.

8. Has Intervention Been Effective?

It is inherently difficult to quantify the effect of intervention transactions on the exchange rate for at least three key reasons:

  1. Interventions usually take place when the exchange rate is moving in the opposite direction to the expected effect of the intervention and it is virtually impossible to know what would have happened to the exchange rate in the absence of the intervention.
  2. It may not always be appropriate to measure the success or failure of interventions using a simple metric such as the daily exchange rate movement, nor may it be feasible to develop alternatives.
  3. Data which accurately identify the magnitude of genuine intervention transactions have been scarce, with researchers often resorting to the use of imperfect proxies.

These difficulties have led to the development of a number of different methods of attempting to evaluate the effectiveness of intervention, three of which have been employed by Reserve Bank staff in recent years to evaluate the effectiveness of Reserve Bank intervention.

The first (Kearns and Rigobon, ), used the change in the Reserve Bank's intervention policy in the early s (when the Bank ceased to make very small interventions) to identify the contemporaneous relationship between intervention and the exchange rate. This study supported the description of Reserve Bank intervention as ‘leaning against the wind’ – that is, acting to slow or correct excessive trends in the exchange rate. Intervention was found to have a significant effect on the exchange rate, particularly on the day of intervention.

The second (Becker and Sinclair, and Andrew and Broadbent, ) used the ‘profits test’ to evaluate the effectiveness of intervention, as advocated by Friedman (). The application of the profits test relies on the central bank acting as a stabilising long-term speculator. If the objective of the central bank is to limit fluctuations in the exchange rate, this will tend to involve the purchase of the local currency (sale of foreign currency) when the exchange rate is relatively low, and the sale of the local currency (purchase of foreign currency) when the exchange rate is high. If the central bank is successful in ‘buying low’ and ‘selling high’, its intervention should yield a profit. It follows from this that if a central bank has been profitable in its intervention, it must have bought low and sold high, therefore contributing to the stabilisation of the exchange rate. These studies both found that the Reserve Bank's intervention activities have been profitable, and therefore, stabilising.

The third study (Newman, Potter and Wright, ) presented the results of time series econometrics using a unique dataset that specifically addressed problem (iii) above. Notwithstanding the improved dataset, the results of this paper mainly demonstrated the difficulties in drawing strong conclusions about the effectiveness of interventions from time series analysis, owing to some inherent limitations – in particular, problems (i) and (ii) above. Nevertheless, this study does find some weak evidence that the Reserve Bank's interventions have been effective.

Related Reading

Andrew R, and J Broadbent (), ‘Reserve Bank operations in the foreign exchange market: effectiveness and profitability’, RBA Research Discussion Paper No

Becker C and M Sinclair (), ‘Profitability of Reserve Bank Foreign Exchange Operations: Twenty Years After The Float’, RBA Research Discussion Paper RDP

Friedman M (), ‘The case for flexible exchange rates’, Essays on Positive Economics, University of Chicago Press, Chicago, pp –

Kearns J and R Rigobon (), ‘Identifying the Efficacy of Central Bank Interventions: Evidence from Australia’, RBA Research Discussion Paper RDP

Newman V, C Potter and M Wright (), ‘Foreign Exchange Market Intervention’, RBA Bulletin, December.

RBI 'correct' to use forex reserves to tackle rupee volatility: economic adviser

The Reserve Bank of India (RBI) is justified in using the country's foreign exchange reserves to smooth out volatility in the rupee's moves against the dollar, a member of the Economic Advisory Councilsaid on Monday.

"I think that the RBI is correct to use the FX reserves to smooth movement in the INR/USD There is no point targeting a INR/USD level when USD is appreciating against all other majors," Sanjeev Sanyal told the Reuters Global Markets Forum (GMF) in an interview.

"Longer term, we need to maintain overall macro-stability and allow the cycle to play itself out," said Sanyal, who was previously India's chief economic adviser.

The Council he now sits on advises Prime Minister Narendra Modi and his government on economic policy.

The Indian rupee has fallen around % against the dollar year-to-date, to trade near a record low of

The dollar has risen about % against a basket of currencies as markets brace for more U.S. interest rate hikes amid surging inflationary pressures and signs a weakening global economy.

Sanyal also said India's inflation was almost entirely imported and, as an oil importer, something it could do little in the short term to control. Global oil and other energy costs have spiked this year, driven higher by the impact of the war in Ukraine and broader supply chain issues. [O/R]

Sanyal said he believed India's current account deficit was in a comfortable position and, asked if a curb on non-essential imports was being considered, added: "The government will respond flexibly to the situation as it evolves."

Sanyal also said India was treating crypto instruments as assets not currencies, and that their regulation would need global coordination.


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