Correlation Between GM and XNK

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

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

Diversification Opportunities for GM and XNK

0.19

Correlation Coefficient

GM  XNK

Average diversification

The 3 months correlation between GM and XNK is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and XNK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XNK 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 XNK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XNK has no effect on the direction of GM i.e., GM and XNK go up and down completely randomly.

Pair Corralation between GM and XNK

If you would invest  4,829  in General Motors on September 1, 2024 and sell it today you would earn a total of  730.00  from holding General Motors or generate 15.12% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	1.59%
Values	Daily Returns

General Motors  vs.  XNK

General Motors

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.

XNK

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days XNK has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound forward-looking signals, XNK 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 XNK

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

The idea behind General Motors and XNK 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.