Correlation Between Sherborne Investors and State Bank
Can any of the company-specific risk be diversified away by investing in both Sherborne Investors and State Bank 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 Sherborne Investors and State Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sherborne Investors Guernsey and State Bank of, you can compare the effects of market volatilities on Sherborne Investors and State Bank 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 Sherborne Investors with a short position of State Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sherborne Investors and State Bank.
Diversification Opportunities for Sherborne Investors and State Bank
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sherborne and State is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Sherborne Investors Guernsey and State Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Bank and Sherborne Investors 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 Sherborne Investors Guernsey are associated (or correlated) with State Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of State Bank has no effect on the direction of Sherborne Investors i.e., Sherborne Investors and State Bank go up and down completely randomly.
Pair Corralation between Sherborne Investors and State Bank
Assuming the 90 days trading horizon Sherborne Investors is expected to generate 3.24 times less return on investment than State Bank. But when comparing it to its historical volatility, Sherborne Investors Guernsey is 1.56 times less risky than State Bank. It trades about 0.02 of its potential returns per unit of risk. State Bank of is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 7,066 in State Bank of on August 28, 2024 and sell it today you would earn a total of 2,894 from holding State Bank of or generate 40.96% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sherborne Investors Guernsey vs. State Bank of
Performance |
| Timeline |
| Sherborne Investors |
| State Bank |
Sherborne Investors and State Bank Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sherborne Investors and State Bank
The main advantage of trading using opposite Sherborne Investors and State Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sherborne Investors position performs unexpectedly, State Bank 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 State Bank will offset losses from the drop in State Bank's long position.| Sherborne Investors vs. GreenX Metals | Sherborne Investors vs. Global Net Lease | Sherborne Investors vs. Europa Metals | Sherborne Investors vs. Blackstone Loan Financing |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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