Correlation Between FIH MOBILE and HANOVER INSURANCE
Can any of the company-specific risk be diversified away by investing in both FIH MOBILE and HANOVER INSURANCE 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 FIH MOBILE and HANOVER INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FIH MOBILE and HANOVER INSURANCE, you can compare the effects of market volatilities on FIH MOBILE and HANOVER INSURANCE 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 FIH MOBILE with a short position of HANOVER INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of FIH MOBILE and HANOVER INSURANCE.
Diversification Opportunities for FIH MOBILE and HANOVER INSURANCE
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between FIH and HANOVER is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding FIH MOBILE and HANOVER INSURANCE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HANOVER INSURANCE and FIH MOBILE 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 FIH MOBILE are associated (or correlated) with HANOVER INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HANOVER INSURANCE has no effect on the direction of FIH MOBILE i.e., FIH MOBILE and HANOVER INSURANCE go up and down completely randomly.
Pair Corralation between FIH MOBILE and HANOVER INSURANCE
Assuming the 90 days trading horizon FIH MOBILE is expected to generate 1.53 times less return on investment than HANOVER INSURANCE. But when comparing it to its historical volatility, FIH MOBILE is 1.03 times less risky than HANOVER INSURANCE. It trades about 0.02 of its potential returns per unit of risk. HANOVER INSURANCE is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 11,805 in HANOVER INSURANCE on October 4, 2024 and sell it today you would earn a total of 2,795 from holding HANOVER INSURANCE or generate 23.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FIH MOBILE vs. HANOVER INSURANCE
Performance |
Timeline |
FIH MOBILE |
HANOVER INSURANCE |
FIH MOBILE and HANOVER INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FIH MOBILE and HANOVER INSURANCE
The main advantage of trading using opposite FIH MOBILE and HANOVER INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FIH MOBILE position performs unexpectedly, HANOVER INSURANCE 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 HANOVER INSURANCE will offset losses from the drop in HANOVER INSURANCE's long position.FIH MOBILE vs. USWE SPORTS AB | FIH MOBILE vs. Gladstone Investment | FIH MOBILE vs. KOOL2PLAY SA ZY | FIH MOBILE vs. SLR Investment Corp |
HANOVER INSURANCE vs. Apple Inc | HANOVER INSURANCE vs. Apple Inc | HANOVER INSURANCE vs. Apple Inc | HANOVER INSURANCE vs. Apple 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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