Correlation Between MSP Recovery and Hooker Furniture
Can any of the company-specific risk be diversified away by investing in both MSP Recovery and Hooker Furniture 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 MSP Recovery and Hooker Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MSP Recovery and Hooker Furniture, you can compare the effects of market volatilities on MSP Recovery and Hooker Furniture 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 MSP Recovery with a short position of Hooker Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of MSP Recovery and Hooker Furniture.
Diversification Opportunities for MSP Recovery and Hooker Furniture
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MSP and Hooker is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding MSP Recovery and Hooker Furniture in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hooker Furniture and MSP Recovery 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 MSP Recovery are associated (or correlated) with Hooker Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hooker Furniture has no effect on the direction of MSP Recovery i.e., MSP Recovery and Hooker Furniture go up and down completely randomly.
Pair Corralation between MSP Recovery and Hooker Furniture
Assuming the 90 days horizon MSP Recovery is expected to generate 4.73 times more return on investment than Hooker Furniture. However, MSP Recovery is 4.73 times more volatile than Hooker Furniture. It trades about 0.02 of its potential returns per unit of risk. Hooker Furniture is currently generating about 0.08 per unit of risk. If you would invest 0.39 in MSP Recovery on September 6, 2024 and sell it today you would lose (0.21) from holding MSP Recovery or give up 53.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.2% |
Values | Daily Returns |
MSP Recovery vs. Hooker Furniture
Performance |
Timeline |
MSP Recovery |
Hooker Furniture |
MSP Recovery and Hooker Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MSP Recovery and Hooker Furniture
The main advantage of trading using opposite MSP Recovery and Hooker Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MSP Recovery position performs unexpectedly, Hooker Furniture 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 Hooker Furniture will offset losses from the drop in Hooker Furniture's long position.MSP Recovery vs. Skechers USA | MSP Recovery vs. Nike Inc | MSP Recovery vs. Kinsale Capital Group | MSP Recovery vs. Old Republic International |
Hooker Furniture vs. Bassett Furniture Industries | Hooker Furniture vs. Natuzzi SpA | Hooker Furniture vs. Flexsteel Industries | Hooker Furniture vs. Hamilton Beach Brands |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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