Correlation Between HANOVER INSURANCE and Caseys General
Can any of the company-specific risk be diversified away by investing in both HANOVER INSURANCE and Caseys General 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 HANOVER INSURANCE and Caseys General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HANOVER INSURANCE and Caseys General Stores, you can compare the effects of market volatilities on HANOVER INSURANCE and Caseys General 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 HANOVER INSURANCE with a short position of Caseys General. Check out your portfolio center. Please also check ongoing floating volatility patterns of HANOVER INSURANCE and Caseys General.
Diversification Opportunities for HANOVER INSURANCE and Caseys General
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between HANOVER and Caseys is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding HANOVER INSURANCE and Caseys General Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Caseys General Stores and HANOVER INSURANCE 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 HANOVER INSURANCE are associated (or correlated) with Caseys General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Caseys General Stores has no effect on the direction of HANOVER INSURANCE i.e., HANOVER INSURANCE and Caseys General go up and down completely randomly.
Pair Corralation between HANOVER INSURANCE and Caseys General
Assuming the 90 days trading horizon HANOVER INSURANCE is expected to generate 1.05 times more return on investment than Caseys General. However, HANOVER INSURANCE is 1.05 times more volatile than Caseys General Stores. It trades about -0.09 of its potential returns per unit of risk. Caseys General Stores is currently generating about -0.14 per unit of risk. If you would invest 15,107 in HANOVER INSURANCE on October 4, 2024 and sell it today you would lose (307.00) from holding HANOVER INSURANCE or give up 2.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
HANOVER INSURANCE vs. Caseys General Stores
Performance |
Timeline |
HANOVER INSURANCE |
Caseys General Stores |
HANOVER INSURANCE and Caseys General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HANOVER INSURANCE and Caseys General
The main advantage of trading using opposite HANOVER INSURANCE and Caseys General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HANOVER INSURANCE position performs unexpectedly, Caseys General 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 Caseys General will offset losses from the drop in Caseys General's long position.HANOVER INSURANCE vs. Forsys Metals Corp | HANOVER INSURANCE vs. Federal Agricultural Mortgage | HANOVER INSURANCE vs. SIERRA METALS | HANOVER INSURANCE vs. Jacquet Metal Service |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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