Correlation Between GM and Swan Defined

Can any of the company-specific risk be diversified away by investing in both GM and Swan Defined 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 Swan Defined into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between General Motors and Swan Defined Risk, you can compare the effects of market volatilities on GM and Swan Defined 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 Swan Defined. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Swan Defined.

Diversification Opportunities for GM and Swan Defined

0.78

Correlation Coefficient

GM  Swan Defined

Poor diversification

The 3 months correlation between GM and Swan is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Swan Defined Risk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Swan Defined Risk 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 Swan Defined. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swan Defined Risk has no effect on the direction of GM i.e., GM and Swan Defined go up and down completely randomly.

Pair Corralation between GM and Swan Defined

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Swan Defined. In addition to that, GM is 2.65 times more volatile than Swan Defined Risk. It trades about -0.23 of its total potential returns per unit of risk. Swan Defined Risk is currently generating about -0.26 per unit of volatility. If you would invest  1,365  in Swan Defined Risk on September 23, 2024 and sell it today you would lose (68.00) from holding Swan Defined Risk or give up 4.98% of portfolio value over 90 days.

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

General Motors  vs.  Swan Defined Risk

General Motors

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 4 (%) 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 January 2025.

Swan Defined Risk

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Swan Defined Risk has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong fundamental indicators, Swan Defined is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with GM and Swan Defined

The main advantage of trading using opposite GM and Swan Defined positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Swan Defined 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 Swan Defined will offset losses from the drop in Swan Defined's long position.

The idea behind General Motors and Swan Defined Risk 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.