Correlation Between GM and Hang Seng

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

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

Diversification Opportunities for GM and Hang Seng

-0.53

Correlation Coefficient

GM  Hang Seng

Excellent diversification

The 3 months correlation between GM and Hang is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Hang Seng Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hang Seng Bank 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 Hang Seng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hang Seng Bank has no effect on the direction of GM i.e., GM and Hang Seng go up and down completely randomly.

Pair Corralation between GM and Hang Seng

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Hang Seng. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.84 times less risky than Hang Seng. The stock trades about -0.02 of its potential returns per unit of risk. The Hang Seng Bank is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  1,118  in Hang Seng Bank on December 22, 2024 and sell it today you would earn a total of  162.00  from holding Hang Seng Bank or generate 14.49% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	98.36%
Values	Daily Returns

General Motors  vs.  Hang Seng Bank

General Motors

Risk-Adjusted Performance

Very Weak

Over the last 90 days General Motors has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy primary indicators, GM is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

Hang Seng Bank

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Hang Seng Bank are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Hang Seng reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with GM and Hang Seng

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

The idea behind General Motors and Hang Seng Bank 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.