Correlation Between GM and Aegon Funding

Can any of the company-specific risk be diversified away by investing in both GM and Aegon Funding at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining GM and Aegon Funding into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between General Motors and Aegon Funding, you can compare the effects of market volatilities on GM and Aegon Funding and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in GM with a short position of Aegon Funding. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Aegon Funding.

Diversification Opportunities for GM and Aegon Funding

0.26

Correlation Coefficient

GM  Aegon Funding

Modest diversification

The 3 months correlation between GM and Aegon is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Aegon Funding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aegon Funding and GM is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on General Motors are associated (or correlated) with Aegon Funding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aegon Funding has no effect on the direction of GM i.e., GM and Aegon Funding go up and down completely randomly.

Pair Corralation between GM and Aegon Funding

Allowing for the 90-day total investment horizon General Motors is expected to generate 2.18 times more return on investment than Aegon Funding. However, GM is 2.18 times more volatile than Aegon Funding. It trades about 0.09 of its potential returns per unit of risk. Aegon Funding is currently generating about 0.01 per unit of risk. If you would invest  4,562  in General Motors on April 4, 2024 and sell it today you would earn a total of  133.00  from holding General Motors or generate 2.92% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

General Motors  vs.  Aegon Funding

General Motors

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating primary indicators, GM may actually be approaching a critical reversion point that can send shares even higher in August 2024.

Aegon Funding

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Aegon Funding has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, Aegon Funding is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with GM and Aegon Funding

The main advantage of trading using opposite GM and Aegon Funding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Aegon Funding can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Aegon Funding will offset losses from the drop in Aegon Funding's long position.

The idea behind General Motors and Aegon Funding pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.