In traditional investing, risk is viewed as volatility or standard deviation of the asset’s marked to market value. Standard deviation tells you how much an investment’s value will fluctuate from the average return. The more volatile the investment is likely to swing (both positively and negatively) around it’s own historical average, the more risky an investment or asset class is.
For example, Chart 1 below shows the normalised returns of Global Equities, as represented by MSCI World Index, versus Global Bonds, as represented by Citigroup Broad Investment Grade Bonds Index.
If you had invested $100 in both Global Equities and Global Bonds for the past 10 years, your portfolio value of either would be fairly similar, which is $168 for Global Equities and $165 for Global Bonds. (pretty dismal annualised returns per unit risk for Global Equities but that’s another story altogether) However, Global Equities is more volatile than Global Bonds and hence more risky by definition. The standard deviation of a time series of daily returns for Global Equities is 2.53% versus 0.50% for Global Bonds.
There are many more traditional measures of risk such as Value-at-Risk or Conditional-Value-at-Risk, which is an extension of VAR. These measures are widely used by the vast majority of investors for many years now.
However the most important and relevant risk to me when I trade is the Risk of Ruin. There were many sources of inspiration and influences (the “Market Wizards†type of traders and successful fund managers) through the years in shaping my thoughts on trading and this concept of looking at risk as the “risk of losses of trading capital†has been one of the most important.
So how do we quantify the risk of ruin? I came across these 2 methods as described below. They were referenced from D.R. Cox and H.D Miller in “The Theory of Stochastic Processesâ€.
For fixed trade size without dynamic position sizing (i.e. fixed trade size regardless of trading capital changes)
R= Risk of losing z fraction of the trading capital in percentage terms (probability)
e = Base of natural logarithm, 2.71828
z = If we want to calculate the risk of losing half the account, input 0.5
a = mean return of the trades, must be same time frame as d. For example if daily mean returns are used, then use standard deviation of daily returns. If weekly mean returns are used, then use standard deviation of weekly returns.
d = standard deviation of returns, must be same time frame as mean returns mentioned earlier.
For fixed trade percentage (e.g. 2% of capital per trade)
R= Risk of losing z fraction of the trading capital in percentage terms (probability)
e = Base of natural logarithm, 2.71828
ln(1-z) = natural logarithm of (1-z)
z = If we want to calculate the risk of losing half the account, input 0.5
a = mean return of the trades, must be same time frame as d. For example if daily mean returns are used, then use standard deviation of daily returns. If weekly mean returns are used, then use standard deviation of weekly returns.
d = standard deviation of returns, must be same time frame as mean returns mentioned earlier.
You may wish to incorporate these calculations in your money management tools to give you an idea of the risk of ruin which is so important in trading. Live to trade another day. It is all about survival in this game!
For example, Chart 1 below shows the normalised returns of Global Equities, as represented by MSCI World Index, versus Global Bonds, as represented by Citigroup Broad Investment Grade Bonds Index.
If you had invested $100 in both Global Equities and Global Bonds for the past 10 years, your portfolio value of either would be fairly similar, which is $168 for Global Equities and $165 for Global Bonds. (pretty dismal annualised returns per unit risk for Global Equities but that’s another story altogether) However, Global Equities is more volatile than Global Bonds and hence more risky by definition. The standard deviation of a time series of daily returns for Global Equities is 2.53% versus 0.50% for Global Bonds.
Chart 1: Normalised Returns For Past 10 Years For Global Equities & Global Bonds
There are many more traditional measures of risk such as Value-at-Risk or Conditional-Value-at-Risk, which is an extension of VAR. These measures are widely used by the vast majority of investors for many years now.
However the most important and relevant risk to me when I trade is the Risk of Ruin. There were many sources of inspiration and influences (the “Market Wizards†type of traders and successful fund managers) through the years in shaping my thoughts on trading and this concept of looking at risk as the “risk of losses of trading capital†has been one of the most important.
So how do we quantify the risk of ruin? I came across these 2 methods as described below. They were referenced from D.R. Cox and H.D Miller in “The Theory of Stochastic Processesâ€.
For fixed trade size without dynamic position sizing (i.e. fixed trade size regardless of trading capital changes)
R= Risk of losing z fraction of the trading capital in percentage terms (probability)
e = Base of natural logarithm, 2.71828
z = If we want to calculate the risk of losing half the account, input 0.5
a = mean return of the trades, must be same time frame as d. For example if daily mean returns are used, then use standard deviation of daily returns. If weekly mean returns are used, then use standard deviation of weekly returns.
d = standard deviation of returns, must be same time frame as mean returns mentioned earlier.
For fixed trade percentage (e.g. 2% of capital per trade)
R= Risk of losing z fraction of the trading capital in percentage terms (probability)
e = Base of natural logarithm, 2.71828
ln(1-z) = natural logarithm of (1-z)
z = If we want to calculate the risk of losing half the account, input 0.5
a = mean return of the trades, must be same time frame as d. For example if daily mean returns are used, then use standard deviation of daily returns. If weekly mean returns are used, then use standard deviation of weekly returns.
d = standard deviation of returns, must be same time frame as mean returns mentioned earlier.
You may wish to incorporate these calculations in your money management tools to give you an idea of the risk of ruin which is so important in trading. Live to trade another day. It is all about survival in this game!
Editors’ Picks
EUR/USD climbs toward 1.1800 on broad USD weakness
EUR/USD gathers bullish momentum and advances toward 1.1800 in the second half of the day on Tuesday. The US Dollar weakens and helps the pair stretch higher after the employment report showed that Nonfarm Payrolls declined by 105,000 in October before rising by 64,000 in November.
GBP/USD gains ground above 1.3400 on UK PMI optimism
The GBP/USD pair gains momentum to around 1.3425 during the early Asian session on Wednesday. The Pound Sterling edges higher against the Greenback on the upbeat UK preliminary S&P Global Purchasing Managers' Index data. Traders will take more cues from the Fedspeak later on Wednesday.
USD/JPY dips as bearish pressure persists despite ETF growth
Ripple is finding footing above $1.90 at the time of writing on Tuesday after a bearish wave swept across the broader cryptocurrency market, building on persistent negative sentiment.
Editors’ Picks
AUD/USD hangs near one-week low; downside seems limited
AUD/USD trades with a negative bias for the fifth straight day on Wednesday, just above a one-week low touched the previous day, as a weaker risk tone and China's economic woes undermine the Aussie. However, the RBA's hawkish stance could limit deeper losses. Moreover, bets for more rate cuts by the Fed in 2026 keep a lid on the attempted US Dollar recovery, warranting some caution for bearish traders ahead of US CPI on Thursday.
USD/JPY dips as bearish pressure persists despite ETF growth
Ripple is finding footing above $1.90 at the time of writing on Tuesday after a bearish wave swept across the broader cryptocurrency market, building on persistent negative sentiment.
Gold extends the range play around $4,300
Gold edges higher during the Asian session on Wednesday, though it remains confined in a multi-day-old trading range. Dovish Fed-inspired bearish sentiment surrounding the US Dollar, along with the risk-off mood, acts as a tailwind for the safe-haven bullion. However, hopes for a Russia-Ukraine peace deal hold back the XAU/USD bulls from placing aggressive bets. Traders also seem reluctant ahead of the crucial US consumer inflation figures on Thursday.
XRP dips as bearish pressure persists despite ETF growth
Ripple is finding footing above $1.90 at the time of writing on Tuesday after a bearish wave swept across the broader cryptocurrency market, building on persistent negative sentiment.
Ukraine-Russia in the spotlight once again
Since the start of the week, gold’s price has moved lower, but has yet to erase the gains made last week. In today’s report we intend to focus on the newest round of peace talks between Russia and Ukraine, whilst noting the release of the US Employment data later on day and end our report with an update in regards to the tensions brewing in Venezuela.
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