Correlation Between London Security and General Motors
Can any of the company-specific risk be diversified away by investing in both London Security and General Motors 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 London Security and General Motors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between London Security Plc and General Motors Co, you can compare the effects of market volatilities on London Security and General Motors 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 London Security with a short position of General Motors. Check out your portfolio center. Please also check ongoing floating volatility patterns of London Security and General Motors.
Diversification Opportunities for London Security and General Motors
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between London and General is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding London Security Plc and General Motors Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Motors and London Security 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 London Security Plc are associated (or correlated) with General Motors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Motors has no effect on the direction of London Security i.e., London Security and General Motors go up and down completely randomly.
Pair Corralation between London Security and General Motors
Assuming the 90 days trading horizon London Security is expected to generate 1.49 times less return on investment than General Motors. But when comparing it to its historical volatility, London Security Plc is 1.34 times less risky than General Motors. It trades about 0.03 of its potential returns per unit of risk. General Motors Co is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 4,042 in General Motors Co on September 26, 2024 and sell it today you would earn a total of 1,228 from holding General Motors Co or generate 30.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.96% |
Values | Daily Returns |
London Security Plc vs. General Motors Co
Performance |
Timeline |
London Security Plc |
General Motors |
London Security and General Motors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with London Security and General Motors
The main advantage of trading using opposite London Security and General Motors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if London Security position performs unexpectedly, General Motors 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 General Motors will offset losses from the drop in General Motors' long position.London Security vs. Tungsten West PLC | London Security vs. Argo Group Limited | London Security vs. Hardide PLC | London Security vs. Gfinity PLC |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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