Correlation Between Direct Line and Metal Sky
Can any of the company-specific risk be diversified away by investing in both Direct Line and Metal Sky 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 Direct Line and Metal Sky into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Direct Line Insurance and Metal Sky Star, you can compare the effects of market volatilities on Direct Line and Metal Sky 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 Direct Line with a short position of Metal Sky. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direct Line and Metal Sky.
Diversification Opportunities for Direct Line and Metal Sky
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Direct and Metal is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Direct Line Insurance and Metal Sky Star in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metal Sky Star and Direct Line 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 Direct Line Insurance are associated (or correlated) with Metal Sky. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metal Sky Star has no effect on the direction of Direct Line i.e., Direct Line and Metal Sky go up and down completely randomly.
Pair Corralation between Direct Line and Metal Sky
Assuming the 90 days horizon Direct Line is expected to generate 8.99 times less return on investment than Metal Sky. But when comparing it to its historical volatility, Direct Line Insurance is 16.69 times less risky than Metal Sky. It trades about 0.14 of its potential returns per unit of risk. Metal Sky Star is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 5.01 in Metal Sky Star on October 10, 2024 and sell it today you would earn a total of 0.00 from holding Metal Sky Star or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 35.0% |
Values | Daily Returns |
Direct Line Insurance vs. Metal Sky Star
Performance |
Timeline |
Direct Line Insurance |
Metal Sky Star |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Modest
Direct Line and Metal Sky Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direct Line and Metal Sky
The main advantage of trading using opposite Direct Line and Metal Sky positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direct Line position performs unexpectedly, Metal Sky 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 Metal Sky will offset losses from the drop in Metal Sky's long position.Direct Line vs. Berkshire Hathaway | Direct Line vs. Berkshire Hathaway | Direct Line vs. Allianz SE | Direct Line vs. Zurich Insurance Group |
Metal Sky vs. ZhongAn Online P | Metal Sky vs. Vita Coco | Metal Sky vs. CarsalesCom Ltd ADR | Metal Sky vs. Safety Shot |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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