The beta coefficient is a statistical measure that can be used to compare different items.
The idea of using the beta coefficient is common among stock analysts trying to find those stocks that are moving differently to the main market average. This has a number of benefits, not least that stocks with higher beta coefficients offer a greater level of diversification than those with lower beta coefficients.
A stock with a low beta coefficient will be unlikely to outperform the overall market, whereas a stock with a high beta coefficient could move in a completely different direction. Some stocks with a high beta may even move in the opposite direction to the average, allowing them to survive market downturns.
In stocks, this beta can be measured with the following calculation:
Beta (x) = Slope of stock x / Slope of market average
In other words, if a stock increases in value by 14% while the market average increased by only 10%, the stock's beta would be 1.4. Generally, those markets with higher beta's can be said to offer better risk/reward.
Stock markets generally move higher over time, corresponding with economic growth and the act of buy and hold investing.
Conversely, forex markets fluctuate, where the simultaneous buying of one currency reflects the selling of another.
The upshot of this is that there is no point in calculating beta in forex by comparing one market to the slope of the market average.
A much better idea is to construct a market average of currencies, making sure to adjust them for their dollar values, then compare them by standard deviation.
By calculating beta in this way, it is possible to find the currencies that are trading with the highest volatility compared to the rest. In this way:
Beta (EURUSD) = StdDev (EURUSD) / StdDev (market average)
Of course, beta will not stay constant over time, and currencies with a high beta may not continue to be more volatile than the average in the future. This means that high beta currencies may not necessarily be the best ones to trade and it could be the case that the lowest betas might be the best.
Any strategy based on beta will therefore need to be tested to ensure that it works profitably. That is the nature of trading.
The idea of using the beta coefficient is common among stock analysts trying to find those stocks that are moving differently to the main market average. This has a number of benefits, not least that stocks with higher beta coefficients offer a greater level of diversification than those with lower beta coefficients.
A stock with a low beta coefficient will be unlikely to outperform the overall market, whereas a stock with a high beta coefficient could move in a completely different direction. Some stocks with a high beta may even move in the opposite direction to the average, allowing them to survive market downturns.
In stocks, this beta can be measured with the following calculation:
Beta (x) = Slope of stock x / Slope of market average
In other words, if a stock increases in value by 14% while the market average increased by only 10%, the stock's beta would be 1.4. Generally, those markets with higher beta's can be said to offer better risk/reward.
Using beta in forex
While beta is commonly used in stocks, it is rarely used in forex and for a very good reason. Simply, because forex markets are valued against one another, they do not possess any upward bias, like stock markets do.Stock markets generally move higher over time, corresponding with economic growth and the act of buy and hold investing.
Conversely, forex markets fluctuate, where the simultaneous buying of one currency reflects the selling of another.
The upshot of this is that there is no point in calculating beta in forex by comparing one market to the slope of the market average.
A much better idea is to construct a market average of currencies, making sure to adjust them for their dollar values, then compare them by standard deviation.
By calculating beta in this way, it is possible to find the currencies that are trading with the highest volatility compared to the rest. In this way:
Beta (EURUSD) = StdDev (EURUSD) / StdDev (market average)
Results
Calculating beta in this way, shows how currencies relate to each other in terms of volatility. Those currencies with a high beta are the most volatile and these are the best ones to trade since they offer the best risk/reward.Of course, beta will not stay constant over time, and currencies with a high beta may not continue to be more volatile than the average in the future. This means that high beta currencies may not necessarily be the best ones to trade and it could be the case that the lowest betas might be the best.
Any strategy based on beta will therefore need to be tested to ensure that it works profitably. That is the nature of trading.
Editors’ Picks
EUR/USD clings to daily gains above 1.0650
EUR/USD gained traction and turned positive on the day above 1.0650. The improvement seen in risk mood following the earlier flight to safety weighs on the US Dollar ahead of the weekend and helps the pair push higher.
GBP/USD recovers toward 1.2450 after UK Retail Sales data
GBP/USD reversed its direction and advanced to the 1.2450 area after touching a fresh multi-month low below 1.2400 in the Asian session. The positive shift seen in risk mood on easing fears over a deepening Iran-Israel conflict supports the pair.
USD/JPY goes on a roller-coaster ride prompted by geopolitical risk
USD/JPY whipsaws lower and then higher on alternating risk-on risk-off caused by Middle East tensions. Governor Ueda talks about defending the Yen from further weakness and currency-induced imported inflation. USD/JPY price chart shows bearish Hanging Man forming, boding ill for future price action.
Editors’ Picks
EUR/USD clings to daily gains above 1.0650
EUR/USD gained traction and turned positive on the day above 1.0650. The improvement seen in risk mood following the earlier flight to safety weighs on the US Dollar ahead of the weekend and helps the pair push higher.
GBP/USD recovers toward 1.2450 after UK Retail Sales data
GBP/USD reversed its direction and advanced to the 1.2450 area after touching a fresh multi-month low below 1.2400 in the Asian session. The positive shift seen in risk mood on easing fears over a deepening Iran-Israel conflict supports the pair.
Gold holds steady at around $2,380 following earlier spike
Gold stabilized near $2,380 after spiking above $2,400 with the immediate reaction to reports of Israel striking Iran. Meanwhile, the pullback seen in the US Treasury bond yields helps XAU/USD hold its ground.
Bitcoin Weekly Forecast: BTC post-halving rally could be partially priced in Premium
Bitcoin price shows no signs of directional bias while it holds above $60,000. The fourth BTC halving is partially priced in, according to Deutsche Bank’s research.
Week ahead – US GDP and BoJ decision on top of next week’s agenda
US GDP, core PCE and PMIs the next tests for the Dollar. Investors await BoJ for guidance about next rate hike. EU and UK PMIs, as well as Australian CPIs also on tap.
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