Skip to the content

Understanding correlation in portfolio diversification

01 September 2024

Understanding correlation in the context of investment is essential for creating a diversified portfolio that can withstand market fluctuations and enhance returns. Correlation measures how different investments move in relation to each other, which can significantly affect the risk and return profile of a portfolio. This article will define correlation, discuss its role in diversification, provide examples of correlated and non-correlated assets, and offer advice on how to use this information to optimise portfolio performance.

 

DEFINING CORRELATION

Correlation in financial investments refers to the degree to which two or more asset prices move in relation to each other. Correlation coefficients can range from -1 to +1:

Positive correlation: When two assets move in the same direction, their correlation coefficient is positive, with +1 being a perfect positive correlation.

Negative correlation: When two assets move in opposite directions, their correlation coefficient is negative, with -1 indicating a perfect negative correlation.

Zero correlation (non-correlated): When there is no predictable relationship in the movements of two assets, they are considered non-correlated.

Understanding these relationships helps investors manage risk and optimise returns.

 

THE ROLE OF CORRELATION IN DIVERSIFICATION

Correlation plays a critical role in diversification because it influences how portfolio assets interact with each other, impacting overall portfolio volatility and risk. Effective diversification seeks to combine assets with low or negative correlations, as this can lead to a reduction in portfolio risk without necessarily sacrificing potential returns. For instance, during a stock market downturn, negatively correlated assets such as bonds or certain commodities might hold their value or even appreciate, offsetting losses in equities.

 

EXAMPLES OF CORRELATED AND NON-CORRELATED ASSETS

Correlated assets: Stocks in the same industry often exhibit high positive correlation. For example, automotive stocks tend to react similarly to industry news or economic factors affecting vehicle sales.

Non-correlated assets: An example of non-correlated assets would be US Treasury bonds and commodities like gold. Typically, when the stock market declines, the price of gold might increase, whereas bonds remain relatively stable or increase in value.

 

USING CORRELATION TO ENHANCE PORTFOLIO PERFORMANCE

To use correlation effectively in enhancing portfolio performance, investors should:

Assess correlation regularly: Economic conditions and market dynamics change, which can alter correlations over time. Regular assessment helps ensure that the diversification strategy remains effective.

Incorporate a mix of assets: Include a variety of asset classes with different correlation characteristics to balance the portfolio. For instance, mixing stocks, bonds, real estate and commodities can provide broader protection against market swings.

Use advanced investment tools: Leverage tools and software that can analyse and display correlation matrices for a large number of assets quickly and accurately, aiding in more informed decision-making.

 

Understanding and applying the concept of correlation in portfolio diversification is fundamental for investors looking to manage risk and improve returns. By strategically combining assets with varying degrees of correlation, investors can create a more resilient portfolio that is better equipped to handle the unpredictability of the financial markets.

 

 

This Trustnet Learn article was written with assistance from artificial intelligence (AI). For more information, please visit our AI Statement.

Editor's Picks

Loading...

Videos from BNY Mellon Investment Management

Loading...

Data provided by FE fundinfo. Care has been taken to ensure that the information is correct, but FE fundinfo neither warrants, represents nor guarantees the contents of information, nor does it accept any responsibility for errors, inaccuracies, omissions or any inconsistencies herein. Past performance does not predict future performance, it should not be the main or sole reason for making an investment decision. The value of investments and any income from them can fall as well as rise.