Correlation Between GM and Leclanche
Can any of the company-specific risk be diversified away by investing in both GM and Leclanche 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 Leclanche into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Leclanche SA, you can compare the effects of market volatilities on GM and Leclanche 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 Leclanche. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Leclanche.
Diversification Opportunities for GM and Leclanche
Excellent diversification
The 3 months correlation between GM and Leclanche is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Leclanche SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Leclanche SA 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 Leclanche. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Leclanche SA has no effect on the direction of GM i.e., GM and Leclanche go up and down completely randomly.
Pair Corralation between GM and Leclanche
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Leclanche. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 2.08 times less risky than Leclanche. The stock trades about -0.07 of its potential returns per unit of risk. The Leclanche SA is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 19.00 in Leclanche SA on December 27, 2024 and sell it today you would earn a total of 1.00 from holding Leclanche SA or generate 5.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.39% |
Values | Daily Returns |
General Motors vs. Leclanche SA
Performance |
Timeline |
General Motors |
Leclanche SA |
GM and Leclanche Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Leclanche
The main advantage of trading using opposite GM and Leclanche positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Leclanche 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 Leclanche will offset losses from the drop in Leclanche's long position.The idea behind General Motors and Leclanche SA 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.Leclanche vs. Meyer Burger Tech | Leclanche vs. Evolva Holding SA | Leclanche vs. Kudelski | Leclanche vs. OC Oerlikon Corp |
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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