Correlation Between CHIBA BANK and Hanover Insurance
Can any of the company-specific risk be diversified away by investing in both CHIBA BANK 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 CHIBA BANK and Hanover Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHIBA BANK and The Hanover Insurance, you can compare the effects of market volatilities on CHIBA BANK 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 CHIBA BANK with a short position of Hanover Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHIBA BANK and Hanover Insurance.
Diversification Opportunities for CHIBA BANK and Hanover Insurance
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CHIBA and Hanover is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding CHIBA BANK and The Hanover Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanover Insurance and CHIBA BANK 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 CHIBA BANK 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 CHIBA BANK i.e., CHIBA BANK and Hanover Insurance go up and down completely randomly.
Pair Corralation between CHIBA BANK and Hanover Insurance
Assuming the 90 days trading horizon CHIBA BANK is expected to generate 0.72 times more return on investment than Hanover Insurance. However, CHIBA BANK is 1.38 times less risky than Hanover Insurance. It trades about 0.32 of its potential returns per unit of risk. The Hanover Insurance is currently generating about 0.15 per unit of risk. If you would invest 770.00 in CHIBA BANK on November 28, 2024 and sell it today you would earn a total of 100.00 from holding CHIBA BANK or generate 12.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
CHIBA BANK vs. The Hanover Insurance
Performance |
| Timeline |
| CHIBA BANK |
| Hanover Insurance |
CHIBA BANK and Hanover Insurance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with CHIBA BANK and Hanover Insurance
The main advantage of trading using opposite CHIBA BANK and Hanover Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHIBA BANK 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.| CHIBA BANK vs. FARO TECHNOLOGIES | CHIBA BANK vs. ACCSYS TECHPLC EO | CHIBA BANK vs. Entravision Communications | CHIBA BANK vs. Verizon Communications |
| Hanover Insurance vs. CORNISH METALS INC | Hanover Insurance vs. Harmony Gold Mining | Hanover Insurance vs. JD SPORTS FASH | Hanover Insurance vs. GALENA MINING LTD |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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