Correlation Between GM and Sudarshan Chemical
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By analyzing existing cross correlation between General Motors and Sudarshan Chemical Industries, you can compare the effects of market volatilities on GM and Sudarshan Chemical 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 Sudarshan Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Sudarshan Chemical.
Diversification Opportunities for GM and Sudarshan Chemical
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Sudarshan is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Sudarshan Chemical Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sudarshan Chemical 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 Sudarshan Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sudarshan Chemical has no effect on the direction of GM i.e., GM and Sudarshan Chemical go up and down completely randomly.
Pair Corralation between GM and Sudarshan Chemical
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.65 times more return on investment than Sudarshan Chemical. However, General Motors is 1.54 times less risky than Sudarshan Chemical. It trades about 0.1 of its potential returns per unit of risk. Sudarshan Chemical Industries is currently generating about 0.03 per unit of risk. 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 Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Sudarshan Chemical Industries
Performance |
Timeline |
General Motors |
Sudarshan Chemical |
GM and Sudarshan Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Sudarshan Chemical
The main advantage of trading using opposite GM and Sudarshan Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Sudarshan Chemical 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 Sudarshan Chemical will offset losses from the drop in Sudarshan Chemical's long position.The idea behind General Motors and Sudarshan Chemical Industries 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.Sudarshan Chemical vs. Home First Finance | Sudarshan Chemical vs. Pilani Investment and | Sudarshan Chemical vs. Tata Investment | Sudarshan Chemical vs. Hindware Home Innovation |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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