Taking the guesswork out of Investing: Measuring Risk with Data

Kartikay Goyle2023-01-21 3 mins

In this blog post we discuss methods like MDD, VaR, and CVaR and SD with examples to help you understand the potential downsides of your investments

Measuring and understanding risk is important for investors because it helps them make informed decisions about where to put their money. Think of it like a game of chess - just as a chess player must consider all the possible moves and their potential outcomes, an investor must consider all the potential risks and rewards of an investment.

Here are a few examples to help illustrate the importance of measuring risk:

Maximum Drawdown (MDD) measures the largest percentage loss of an investment from its highest point to its lowest point. It is a useful measure of risk as it shows the worst possible loss an investment may incur over a certain period of time. For example, if you invested $100 and the value went down to $70, the MDD is 30%.

Value at Risk (VaR) is a statistical measure that calculates the maximum loss an investment may incur over a specific period of time with a certain level of confidence. Imagine you have a piggy bank with all your money in it. VaR tells us how much money you might lose if someone breaks your piggy bank.

Conditional Value at Risk (CVaR) is similar to VaR, but it also takes into account the possibility of losing more than the VaR amount. It's like your piggy bank and how much money you might lose if someone breaks it, and how likely it is that your piggy bank will be broken.

Beta: Beta is a measure of an investment's volatility in relation to the overall market. A beta of 1 means that the investment's price will move with the market, while a beta less than 1 means it is less volatile than the market, and a beta greater than 1 means it is more volatile. For example, if an investment has a beta of 1.2, it means that it is 20% more volatile than the market.

Standard Deviation: Standard deviation measures the spread of an investment's returns around its average return and can be used to determine the level of risk of an investment. A higher standard deviation means that the investment's returns are more volatile. For example, if an investment has a standard deviation of 10%, it means that its returns tend to deviate from the average return by 10%.

Sharpe Ratio: The Sharpe ratio is a way to measure how much return you are getting for the amount of risk you are taking. It compares the return of an investment to a safe investment like government bonds and adjusts for how much the value of the investment changes. A higher ratio means that the investment is giving you more return for the amount of risk you are taking. For example, if an investment has a Sharpe ratio of 1, it means that for every time the value of the investment changes by 1%, you are getting an extra 1% in return compared to a safe investment.

In conclusion, measuring risk is an important part of investing, and tools like MDD, VaR, and CVaR and SD can help you understand the potential downsides of your investments and and make informed decisions. Each method provides a different perspective on risk and can be used in conjunction with others to get a more complete understanding.

Saay Finance employs a thorough analysis of various risk factors and utilizes extensive backtesting to consistently maintain lower levels of MDD, CVaR, VaR, SD and higher Sharpe ratio compared to other ETFs and individual stocks over different time periods.

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