Correlation Between GM and Hemostemix
Can any of the company-specific risk be diversified away by investing in both GM and Hemostemix 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 Hemostemix into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Hemostemix, you can compare the effects of market volatilities on GM and Hemostemix 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 Hemostemix. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Hemostemix.
Diversification Opportunities for GM and Hemostemix
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between GM and Hemostemix is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Hemostemix in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hemostemix 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 Hemostemix. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hemostemix has no effect on the direction of GM i.e., GM and Hemostemix go up and down completely randomly.
Pair Corralation between GM and Hemostemix
Allowing for the 90-day total investment horizon GM is expected to generate 1.62 times less return on investment than Hemostemix. But when comparing it to its historical volatility, General Motors is 4.11 times less risky than Hemostemix. It trades about 0.05 of its potential returns per unit of risk. Hemostemix is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 16.00 in Hemostemix on September 30, 2024 and sell it today you would lose (9.00) from holding Hemostemix or give up 56.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Hemostemix
Performance |
Timeline |
General Motors |
Hemostemix |
GM and Hemostemix Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Hemostemix
The main advantage of trading using opposite GM and Hemostemix positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Hemostemix 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 Hemostemix will offset losses from the drop in Hemostemix's long position.The idea behind General Motors and Hemostemix 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.Hemostemix vs. Vaxil Bio | ||
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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