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 clings to gains above 1.0750 after US data
EUR/USD manages to hold in positive territory above 1.0750 despite retreating from the fresh multi-week high it set above 1.0800 earlier in the day. The US Dollar struggles to find demand following the weaker-than-expected NFP data.
GBP/USD declines below 1.2550 following NFP-inspired upsurge
GBP/USD struggles to preserve its bullish momentum and trades below 1.2550 in the American session. Earlier in the day, the disappointing April jobs report from the US triggered a USD selloff and allowed the pair to reach multi-week highs above 1.2600.
Gold struggles to hold above $2,300 despite falling US yields
Gold stays on the back foot below $2,300 in the American session on Friday. The benchmark 10-year US Treasury bond yield stays in negative territory below 4.6% after weak US data but the improving risk mood doesn't allow XAU/USD to gain traction.
Bitcoin Weekly Forecast: Should you buy BTC here? Premium
Bitcoin (BTC) price shows signs of a potential reversal but lacks confirmation, which has divided the investor community into two – those who are buying the dips and those who are expecting a further correction.
Week ahead – BoE and RBA decisions headline a calm week
Bank of England meets on Thursday, unlikely to signal rate cuts. Reserve Bank of Australia could maintain a higher-for-longer stance. Elsewhere, Bank of Japan releases summary of opinions.
RECOMMENDED LESSONS
Making money in forex is easy if you know how the bankers trade!
Discover how to make money in forex is easy if you know how the bankers trade!
5 Forex News Events You Need To Know
In the fast moving world of currency markets, it is extremely important for new traders to know the list of important forex news...
Top 10 Chart Patterns Every Trader Should Know
Chart patterns are one of the most effective trading tools for a trader. They are pure price-action, and form on the basis of underlying buying and...
7 Ways to Avoid Forex Scams
The forex industry is recently seeing more and more scams. Here are 7 ways to avoid losing your money in such scams: Forex scams are becoming frequent. Michael Greenberg reports on luxurious expenses, including a submarine bought from the money taken from forex traders. Here’s another report of a forex fraud. So, how can we avoid falling in such forex scams?
What Are the 10 Fatal Mistakes Traders Make
Trading is exciting. Trading is hard. Trading is extremely hard. Some say that it takes more than 10,000 hours to master. Others believe that trading is the way to quick riches. They might be both wrong. What is important to know that no matter how experienced you are, mistakes will be part of the trading process.