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 flat lines below 1.1900; divergent Fed-ECB expectations offer support
The EUR/USD pair struggles to capitalize on the overnight bounce from the 1.1835-1.1830 region and oscillates in a narrow band during the Asian session on Thursday. Spot prices currently trade around the 1.1875 area, remaining nearly unchanged for the day and staying within striking distance of an over one-week high, reached on Tuesday, amid mixed cues.
GBP/USD slips heading into the Thursday trading window
The Pound Sterling pulled back from four-year highs on Wednesday, weighed down by a combination of Bank of England dovishness and UK political uncertainty, even as the US Dollar weakened on soft labor market revisions.
USD/JPY strengthens above 153.00 despite stronger US jobs data
The USD/JPY pair attracts some sellers to around 153.20 during the early Asian session on Thursday. The Japanese Yen strengthens against the US Dollar in the aftermath of Prime Minister Sanae Takaichi's landslide election victory. The attention will shift to the US Consumer Price Index inflation report, which is due later on Friday.
Editors’ Picks
AUD/USD bulls pause amid post-NFP USD rebound
AUD/USD is trading with a mild negative bias during the Asian session on Thursday, below a three-year high set the previous day. The US Dollar looks to build on Wednesday's upbeat US NFP-inspired bounce from an over one-week low, acting as a headwind for spot prices. However, the divergent Fed-RBA expectations, along with the underlying bullish sentiment, should help limit any meaningful corrective fall for the risk-sensitive Aussie.
USD/JPY strengthens above 153.00 despite stronger US jobs data
The USD/JPY pair attracts some sellers to around 153.20 during the early Asian session on Thursday. The Japanese Yen strengthens against the US Dollar in the aftermath of Prime Minister Sanae Takaichi's landslide election victory. The attention will shift to the US Consumer Price Index inflation report, which is due later on Friday.
Gold posts modest gains above $5,050 as US-Iran tensions persist despite strong labor data
Gold price trades in positive territory near $5,060 during the early Asian session on Thursday. The precious metal edges higher despite stronger-than-expected US employment data. The release of the US Consumer Price Index inflation report will take center stage later on Friday.
Bitcoin holds steady despite strong US labour market
Bitcoin briefly bounced from $66,000 to above $68,000 but slightly reversed those gains following Wednesday's US January jobs report. The top crypto is hovering around $67,000, down 2% over the past 24 hours as of writing on Wednesday.
The market trades the path not the past
The payroll number did not just beat. It reset the tone. 130,000 vs. 65,000 expected, with a 35,000 whisper. 79 of 80 economists leaning the wrong way. Unemployment and underemployment are edging lower. For all the statistical fog around birth-death adjustments and seasonal quirks, the core message was unmistakable. The labour market is not cracking.
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