Correlation Between GM and Sandhar Technologies
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By analyzing existing cross correlation between General Motors and Sandhar Technologies Limited, you can compare the effects of market volatilities on GM and Sandhar Technologies 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 Sandhar Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Sandhar Technologies.
Diversification Opportunities for GM and Sandhar Technologies
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Sandhar is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Sandhar Technologies Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sandhar Technologies 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 Sandhar Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sandhar Technologies has no effect on the direction of GM i.e., GM and Sandhar Technologies go up and down completely randomly.
Pair Corralation between GM and Sandhar Technologies
Allowing for the 90-day total investment horizon GM is expected to generate 2.69 times less return on investment than Sandhar Technologies. But when comparing it to its historical volatility, General Motors is 1.22 times less risky than Sandhar Technologies. It trades about 0.04 of its potential returns per unit of risk. Sandhar Technologies Limited is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 22,458 in Sandhar Technologies Limited on September 26, 2024 and sell it today you would earn a total of 29,877 from holding Sandhar Technologies Limited or generate 133.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 97.89% |
Values | Daily Returns |
General Motors vs. Sandhar Technologies Limited
Performance |
Timeline |
General Motors |
Sandhar Technologies |
GM and Sandhar Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Sandhar Technologies
The main advantage of trading using opposite GM and Sandhar Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Sandhar Technologies 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 Sandhar Technologies will offset losses from the drop in Sandhar Technologies' long position.The idea behind General Motors and Sandhar Technologies Limited 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.Sandhar Technologies vs. Reliance Industries Limited | Sandhar Technologies vs. Life Insurance | Sandhar Technologies vs. Indian Oil | Sandhar Technologies vs. Oil Natural Gas |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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