Correlation Between Stewart Information and Kemper
Can any of the company-specific risk be diversified away by investing in both Stewart Information and Kemper 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 Stewart Information and Kemper into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stewart Information Services and Kemper, you can compare the effects of market volatilities on Stewart Information and Kemper 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 Stewart Information with a short position of Kemper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stewart Information and Kemper.
Diversification Opportunities for Stewart Information and Kemper
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Stewart and Kemper is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Stewart Information Services and Kemper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kemper and Stewart Information 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 Stewart Information Services are associated (or correlated) with Kemper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kemper has no effect on the direction of Stewart Information i.e., Stewart Information and Kemper go up and down completely randomly.
Pair Corralation between Stewart Information and Kemper
Considering the 90-day investment horizon Stewart Information is expected to generate 2.25 times less return on investment than Kemper. In addition to that, Stewart Information is 1.39 times more volatile than Kemper. It trades about 0.04 of its total potential returns per unit of risk. Kemper is currently generating about 0.12 per unit of volatility. If you would invest 5,997 in Kemper on August 9, 2024 and sell it today you would earn a total of 626.00 from holding Kemper or generate 10.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Stewart Information Services vs. Kemper
Performance |
Timeline |
Stewart Information |
Kemper |
Stewart Information and Kemper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stewart Information and Kemper
The main advantage of trading using opposite Stewart Information and Kemper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stewart Information position performs unexpectedly, Kemper 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 Kemper will offset losses from the drop in Kemper's long position.Stewart Information vs. Selective Insurance Group | Stewart Information vs. Kemper | Stewart Information vs. Donegal Group B | Stewart Information vs. Argo Group International |
Kemper vs. Selective Insurance Group | Kemper vs. Donegal Group B | Kemper vs. Argo Group International | Kemper vs. Global Indemnity PLC |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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