Correlation Between GM and HSBC MSCI
Can any of the company-specific risk be diversified away by investing in both GM and HSBC MSCI 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 HSBC MSCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and HSBC MSCI Taiwan, you can compare the effects of market volatilities on GM and HSBC MSCI 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 HSBC MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and HSBC MSCI.
Diversification Opportunities for GM and HSBC MSCI
Weak diversification
The 3 months correlation between GM and HSBC is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and HSBC MSCI Taiwan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HSBC MSCI Taiwan 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 HSBC MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HSBC MSCI Taiwan has no effect on the direction of GM i.e., GM and HSBC MSCI go up and down completely randomly.
Pair Corralation between GM and HSBC MSCI
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.47 times more return on investment than HSBC MSCI. However, GM is 2.47 times more volatile than HSBC MSCI Taiwan. It trades about 0.17 of its potential returns per unit of risk. HSBC MSCI Taiwan is currently generating about -0.13 per unit of risk. If you would invest 5,076 in General Motors on September 1, 2024 and sell it today you would earn a total of 483.00 from holding General Motors or generate 9.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 91.3% |
| Values | Daily Returns |
General Motors vs. HSBC MSCI Taiwan
Performance |
| Timeline |
| General Motors |
| HSBC MSCI Taiwan |
GM and HSBC MSCI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and HSBC MSCI
The main advantage of trading using opposite GM and HSBC MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, HSBC MSCI 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 HSBC MSCI will offset losses from the drop in HSBC MSCI's long position.The idea behind General Motors and HSBC MSCI Taiwan 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.| HSBC MSCI vs. HSBC USA SUSTAINABLE | HSBC MSCI vs. HSBC MSCI Europe | HSBC MSCI vs. HSBC EMERGING MARKET | HSBC MSCI vs. HSBC MSCI Japan |
Check out your portfolio center.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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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