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Principals and methods of measurement for investment risk management and how they work

Published at: October 25, 2023 8 min read Jasper Lawler

In this article

Big ideas
Which investments are the most risky?
Categories of risks for investors
What are risk measures in investment?
How to measure risk in investment: Common methods
Alpha
Beta
R-Squared
Applying risk measures
Risk management strategies for investors
Recap
FAQ
LearnInvesting 101Risk management methods
Investment opportunities are as abundant as the risks that accompany them. Understanding how to measure and manage those risks can turn uncertainty into confidence, propelling you into top decision-making!

Whether you're looking at equities, bonds, or any form of financial assets, one will swiftly encounter the concept of risk.

QUOTE

"You are exposed to the extreme, the unknown, and the unknowable."
Big ideas
  • Investments are subject to two primary types of risks: systematic and unsystematic. Systematic risks, like inflation or political instability, affect the entire market. In contrast, unsystematic risks are specific to individual companies or sectors.
  • The Sharpe ratio is a way to show you the return of an investment compared to its risk. A higher Sharpe Ratio indicates that the investment provides more return for the same amount of risk or less risk for the same return.
  • Standard deviation is a key metric that quantifies the amount of variability or dispersion of a set of data points or returns, offering insights into the investment’s volatility. In the context of investing, a higher standard deviation indicates a higher level of risk and potential return.

Which investments are the most risky?

Before getting into the weeds of investment risk management, the first step you can take to understand and manage risk is to understand the relative riskiness of each type of asset and diversify across different asset classes in order to diversify the amount of risk you are taking.

Categories of risks for investors

In the intricate dance of investing, you’ll encounter two principal categories of risk: systematic and unsystematic.

These terms may sound complex, but their understanding is integral to getting a holistic view of the investment landscape.

DEFINITION

Systematic risks affect the broader market or a significant segment of it.
Think of macroeconomic factors like inflation rates, political upheavals, or global economic shifts. These risks are largely unmanageable and can't be mitigated through portfolio diversification. It’s a universal risk that every investor must face, yet it’s not something to be feared but understood.

Wanna dig deeper on the topic? We've prepared a dedicated article on How to include systematic risk in your strategy.

DEFINITION

Unsystematic risks are specific to a particular company, industry, or sector.
These risks are associated with individual business performances, sectoral challenges, or company-specific issues. The silver lining here is that unsystematic risks can often be mitigated through diversification. By spreading the investments across various assets, sectors, or industries, the impact of poor performance in one area can potentially be offset by gains in another.

Total portfolio risk

It’s not about avoidance but about informed decision-making, where knowledge of these risks becomes a tool, not a deterrent. It’s about embracing the complexities of the financial world with informed confidence from knowing the risks involved.

What are risk measures in investment?

Risk measures offer a numerical valuation of the potential uncertainties and adverse outcomes associated with an investment. Their raison d’etre is to help you evaluate and compare the implied risks tied to different investment opportunities.

Every asset comes with a degree of risk; however, the key is not to avoid it but to understand, measure, and manage it.

These measures are analytical tools offering insights into the potential variability in an investment’s returns. They play a crucial role in helping you comprehend the extent of the financial risk involved but are not an indication or advice on specific investment avenues or strategies. By getting to grips with these measures, an investor can make informed decisions that align with their individual risk tolerance and investment objectives.

How to measure risk in investment: Common methods

Metrics and methodologies come to the fore as essential instruments to evaluate the potential ebb and flow of investment values. The list below offers a mix of how to measure risk as well as risk-adjusted returns.

These numerical insights are not crystal balls but tools forged through statistical rigour to offer a lens through which uncertainty can be somewhat cleared.

Alpha

Alpha, a term often whispered in the corridors of investment circles, is a measure that gauges an investment’s performance against a benchmark index.

DEFINITION

Alpha represents the excess return of the investment relative to the return of the benchmark index.
For example, an Alpha of +2.0 indicates the investment has outperformed its benchmark by 2%.

It’s a comparative metric, a mirror reflecting the investment’s standing amidst the towering giants and the lesser-known entities of the market. Yet, it's crucial to note that Alpha is only one measure and should be considered with other metrics for a holistic view.

Beta

Then comes Beta, another sentinel in the watchtower of risk measurement.

DEFINITION

Beta examines an investment’s sensitivity to the movements of the market as a whole.
A Beta of less than 1 indicates that the investment is theoretically less volatile than the market, while a Beta greater than 1 suggests a higher volatility. But tread carefully, for volatility is not synonymous with risk, and Beta is a measure of association, not causation.

Read more on How alpha and beta work.

R-Squared

R-Squared is a tool in the investor’s kit, offering insights into an investment’s dependency on market trends.

DEFINITION

R-Square provides a statistical measure of the percentage variance in an investment’s returns that can be explained by market movements.
An R-squared equalling 100 indicates that movements in the index completely explain all movements of a security. Yet, this isn’t a seal of approval or disapproval but a measure to be viewed with a discerning eye.

Standard deviation

Standard deviation steps into the scene as a common measure of volatility, casting light on the expected fluctuations in an investment’s value over a specified period.

DEFINITION

Standard deviation quantifies the dispersion of returns, offering insights into the consistency, or lack thereof, of an investment’s returns.
A higher standard deviation indicates a higher level of volatility and, by extension, risk. Yet, it’s no solitary metric, and its voice finds resonance when joined by other measures, painting a comprehensive picture of the risk landscape.

Sharpe ratio

Value at risk (VaR) is a statistical technique used to quantify, over any specific timeframe, the level of financial risk within a firm or investment portfolio.

DEFINITION

VaR provides an estimate of the potential loss that could occur in a portfolio due to adverse market movements, given a certain confidence level.
To utilise VaR, investors typically look at historical data, asset correlations, and volatility to calculate the maximum loss expected for a portfolio over a pre-specified period and confidence interval. However, it's crucial to remember that VaR has its limitations - it doesn’t predict the maximum loss and is not effective for non-linear risks.

Conditional Value at Risk (CVaR)

Conditional Value at Risk (CVaR) takes the VaR concept a step further by assessing the tail risk - the risk of extreme investment losses. It is otherwise referred to as Expected Shortfall (ES).

DEFINITION

CVaR calculates the expected loss that will occur beyond the VaR threshold, offering a more comprehensive view of potential risk.
To use CVaR effectively, investors integrate it into their risk assessment frameworks to understand not just the expected loss but the severity of losses beyond the expected threshold, aiding in more robust risk management and portfolio optimisation strategies.

Applying risk measures to stock investments

Step 1: Gathering data

The initiation into applying risk measures to an individual stock kicks off with meticulous data gathering.
  • Collect historical price data of the chosen stock; ensure accuracy and comprehensiveness to allow a precise risk assessment;
  • Utilise trusted financial databases or analytical platforms to garner data, ensuring a rich, reliable dataset that lays a strong foundation for subsequent analysis.

Step 2: Calculating risk measures

With data in hand, the journey proceeds to calculations. Utilising formulas for measures like Beta and Standard deviation offers insights into the stock's volatility and sensitivity to market movements, painting a numerical portrait of risk and potential return.
  • Employ the Beta formula, deriving insights into the stock’s relative volatility.
  • Calculate the standard deviation, a lens into the variability of the stock’s returns.

Step 3: Analysing the results

Now comes the analytical phase. Each calculated measure, each derived ratio, is a thread weaving into the intricate tapestry of investment insight.

Contextual interpretation is key, considering industry dynamics, market trends, and the unpredictable dance of economic variables.
  • Examine the results within the context of broader market and industry trends.
  • Align the insights with your individual investment objectives and risk tolerance.

Step 4: Making decisions to control risk

Integration is the final stride. Here, insights morph into actionable decisions, each measure is a a guiding light, not a prescriptive mandate. Investment decisions echoe with quantitative analysis, qualitative insights, and individual financial contexts.
  • Incorporate risk measure insights into your broader investment narrative, ensuring a balanced, well-informed investment decision.

Risk management strategies for investors

You’ll find that understanding risk is only one-half of the equation. The other half is effectively managing it. Risk management isn’t a one-size-fits-all strategy but a tailored approach, as diverse and individual as the investors themselves.

However, all investors should embrace the following 3 risk management strategies in their own way to reduce risk:

Strategy 1: Asset allocation

The volatility of markets can lead to a reflexive reevaluation of your investments. Asset allocation serves as a compass, balancing investments across various asset classes like stocks, bonds, or cash, tailored to individual financial goals, risk tolerance, and tax situations.

It isn’t a static process; it’s dynamic, aligning with your evolving financial landscape, ensuring that the quest for returns doesn’t outweigh the capacity for risk.

Strategy 2: Portfolio diversification

Linked closely to asset allocation is portfolio diversification - a spread of investments within each asset class to mitigate risk. By diversifying, the negative performance of one asset can potentially be offset by the positive performance of another.

It’s akin to not putting all your eggs in one basket, a dispersion that seeks to temper the highs and lows of market volatility, aiming for a steadier, more balanced investment journey.

Wanna read more? We got you covered:
Beginner’s guide to diversification.

Strategy 3: Dollar-cost averaging

Dollar-cost averaging entails consistently investing a fixed sum into the same assets at regular intervals. It’s a disciplined approach, unperturbed by market oscillations. When the market is low, you purchase more shares, and fewer when it’s high.

This can potentially lead to a reduction in the average cost per share over time. It’s a strategy that fosters investment discipline, curbing the impulse to react to market noise and focusing on a long-term, systematic investment approach.

Read more on Dollar-cost averaging.
Recap
This article covered key aspects of investment risk, explaining the differences between systematic and unsystematic risks and introducing risk measures like Alpha, Beta, and the Sharpe ratio.

You should now understand how to apply these measures to assess the risk of individual stocks, apply risk management strategies, and the importance of continuous risk monitoring to make informed investment decisions.
FAQ
Q: Why is risk management important?
Risk management is crucial in investing because it helps investors mitigate potential losses and navigate market uncertainties.

By implementing effective risk management strategies, investors can align their investment decisions with their risk tolerance, financial goals, and market dynamics to safeguard their portfolios.
Q: How do you measure the risk of an investment?
The risk of an investment can be measured using various metrics like Alpha, Beta, and Sharpe Ratio, each providing insights into different aspects of risk, like performance against a benchmark or volatility.

By analysing these measures, investors can gain a quantitative understanding of potential investment risks and expected returns.
Q: What are the 2 major types of risk?
The two major types of risk are systematic and unsystematic risk.

Systematic risk affects the entire market and includes factors like inflation, interest rates, and geopolitical events.

Unsystematic risk is specific to a particular company or industry, influenced by factors like company performance, regulatory changes, and sector-specific issues.
Q: What is risk management in investing?
Risk management in investing involves identifying, assessing, and prioritising risks to minimise the impact of uncertain and adverse events on your investment portfolio.

It includes strategies like diversification, asset allocation, and continuous monitoring to mitigate risks, maximise returns, and align investments with individual risk tolerance and financial goals.

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