Correlation Between Distoken Acquisition and Franklin BSP
Can any of the company-specific risk be diversified away by investing in both Distoken Acquisition and Franklin BSP 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 Distoken Acquisition and Franklin BSP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Distoken Acquisition and Franklin BSP Realty, you can compare the effects of market volatilities on Distoken Acquisition and Franklin BSP 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 Distoken Acquisition with a short position of Franklin BSP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Distoken Acquisition and Franklin BSP.
Diversification Opportunities for Distoken Acquisition and Franklin BSP
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Distoken and Franklin is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Distoken Acquisition and Franklin BSP Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin BSP Realty and Distoken Acquisition 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 Distoken Acquisition are associated (or correlated) with Franklin BSP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin BSP Realty has no effect on the direction of Distoken Acquisition i.e., Distoken Acquisition and Franklin BSP go up and down completely randomly.
Pair Corralation between Distoken Acquisition and Franklin BSP
Given the investment horizon of 90 days Distoken Acquisition is expected to generate 0.42 times more return on investment than Franklin BSP. However, Distoken Acquisition is 2.37 times less risky than Franklin BSP. It trades about 0.12 of its potential returns per unit of risk. Franklin BSP Realty is currently generating about -0.01 per unit of risk. If you would invest 1,084 in Distoken Acquisition on September 14, 2024 and sell it today you would earn a total of 36.00 from holding Distoken Acquisition or generate 3.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Distoken Acquisition vs. Franklin BSP Realty
Performance |
Timeline |
Distoken Acquisition |
Franklin BSP Realty |
Distoken Acquisition and Franklin BSP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Distoken Acquisition and Franklin BSP
The main advantage of trading using opposite Distoken Acquisition and Franklin BSP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Distoken Acquisition position performs unexpectedly, Franklin BSP 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 Franklin BSP will offset losses from the drop in Franklin BSP's long position.Distoken Acquisition vs. GameStop Corp | Distoken Acquisition vs. Valens | Distoken Acquisition vs. Corsair Gaming | Distoken Acquisition vs. Playtika Holding Corp |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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