Correlation Between Strats Trust and Dillards Capital
Can any of the company-specific risk be diversified away by investing in both Strats Trust and Dillards Capital 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 Strats Trust and Dillards Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Strats Trust Cellular and Dillards Capital Trust, you can compare the effects of market volatilities on Strats Trust and Dillards Capital 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 Strats Trust with a short position of Dillards Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Strats Trust and Dillards Capital.
Diversification Opportunities for Strats Trust and Dillards Capital
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Strats and Dillards is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Strats Trust Cellular and Dillards Capital Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dillards Capital Trust and Strats Trust 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 Strats Trust Cellular are associated (or correlated) with Dillards Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dillards Capital Trust has no effect on the direction of Strats Trust i.e., Strats Trust and Dillards Capital go up and down completely randomly.
Pair Corralation between Strats Trust and Dillards Capital
Considering the 90-day investment horizon Strats Trust Cellular is expected to generate 1.85 times more return on investment than Dillards Capital. However, Strats Trust is 1.85 times more volatile than Dillards Capital Trust. It trades about 0.01 of its potential returns per unit of risk. Dillards Capital Trust is currently generating about 0.0 per unit of risk. If you would invest 966.00 in Strats Trust Cellular on January 8, 2025 and sell it today you would earn a total of 3.00 from holding Strats Trust Cellular or generate 0.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Strats Trust Cellular vs. Dillards Capital Trust
Performance |
Timeline |
Strats Trust Cellular |
Dillards Capital Trust |
Strats Trust and Dillards Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Strats Trust and Dillards Capital
The main advantage of trading using opposite Strats Trust and Dillards Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strats Trust position performs unexpectedly, Dillards Capital 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 Dillards Capital will offset losses from the drop in Dillards Capital's long position.Strats Trust vs. STRATS SM Trust | Strats Trust vs. STRATSSM Certificates series | Strats Trust vs. Strats SM Trust | Strats Trust vs. Strats SM Trust |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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