Correlation Between Direct Line and Konica Minolta
Can any of the company-specific risk be diversified away by investing in both Direct Line and Konica Minolta 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 Konica Minolta 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 Konica Minolta, you can compare the effects of market volatilities on Direct Line and Konica Minolta 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 Konica Minolta. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direct Line and Konica Minolta.
Diversification Opportunities for Direct Line and Konica Minolta
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Direct and Konica is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Direct Line Insurance and Konica Minolta in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Konica Minolta 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 Konica Minolta. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Konica Minolta has no effect on the direction of Direct Line i.e., Direct Line and Konica Minolta go up and down completely randomly.
Pair Corralation between Direct Line and Konica Minolta
Assuming the 90 days horizon Direct Line Insurance is expected to generate 0.77 times more return on investment than Konica Minolta. However, Direct Line Insurance is 1.3 times less risky than Konica Minolta. It trades about 0.36 of its potential returns per unit of risk. Konica Minolta is currently generating about 0.17 per unit of risk. If you would invest 794.00 in Direct Line Insurance on September 25, 2024 and sell it today you would earn a total of 459.00 from holding Direct Line Insurance or generate 57.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.24% |
Values | Daily Returns |
Direct Line Insurance vs. Konica Minolta
Performance |
Timeline |
Direct Line Insurance |
Konica Minolta |
Direct Line and Konica Minolta Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direct Line and Konica Minolta
The main advantage of trading using opposite Direct Line and Konica Minolta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direct Line position performs unexpectedly, Konica Minolta 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 Konica Minolta will offset losses from the drop in Konica Minolta's long position.Direct Line vs. Oasis Hotel Resort | Direct Line vs. Boston Beer | Direct Line vs. Keurig Dr Pepper | Direct Line vs. The Wendys Co |
Konica Minolta vs. Acco Brands | Konica Minolta vs. HNI Corp | Konica Minolta vs. Steelcase | Konica Minolta vs. Ennis Inc |
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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