Correlation Between Solstad Offshore and Hanover Insurance
Can any of the company-specific risk be diversified away by investing in both Solstad Offshore 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 Solstad Offshore and Hanover Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Solstad Offshore ASA and The Hanover Insurance, you can compare the effects of market volatilities on Solstad Offshore 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 Solstad Offshore with a short position of Hanover Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Solstad Offshore and Hanover Insurance.
Diversification Opportunities for Solstad Offshore and Hanover Insurance
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Solstad and Hanover is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Solstad Offshore ASA and The Hanover Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanover Insurance and Solstad Offshore 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 Solstad Offshore ASA 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 Solstad Offshore i.e., Solstad Offshore and Hanover Insurance go up and down completely randomly.
Pair Corralation between Solstad Offshore and Hanover Insurance
Assuming the 90 days trading horizon Solstad Offshore ASA is expected to generate 2.7 times more return on investment than Hanover Insurance. However, Solstad Offshore is 2.7 times more volatile than The Hanover Insurance. It trades about 0.02 of its potential returns per unit of risk. The Hanover Insurance is currently generating about 0.03 per unit of risk. If you would invest 339.00 in Solstad Offshore ASA on September 18, 2024 and sell it today you would lose (19.00) from holding Solstad Offshore ASA or give up 5.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Solstad Offshore ASA vs. The Hanover Insurance
Performance |
Timeline |
Solstad Offshore ASA |
Hanover Insurance |
Solstad Offshore and Hanover Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Solstad Offshore and Hanover Insurance
The main advantage of trading using opposite Solstad Offshore and Hanover Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Solstad Offshore 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.Solstad Offshore vs. Superior Plus Corp | Solstad Offshore vs. SIVERS SEMICONDUCTORS AB | Solstad Offshore vs. CHINA HUARONG ENERHD 50 | Solstad Offshore vs. NORDIC HALIBUT AS |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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