Correlation Between Kensington Managed and Arrow Managed
Can any of the company-specific risk be diversified away by investing in both Kensington Managed and Arrow Managed 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 Kensington Managed and Arrow Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kensington Managed Income and Arrow Managed Futures, you can compare the effects of market volatilities on Kensington Managed and Arrow Managed 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 Kensington Managed with a short position of Arrow Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kensington Managed and Arrow Managed.
Diversification Opportunities for Kensington Managed and Arrow Managed
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Kensington and Arrow is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Kensington Managed Income and Arrow Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arrow Managed Futures and Kensington Managed 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 Kensington Managed Income are associated (or correlated) with Arrow Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arrow Managed Futures has no effect on the direction of Kensington Managed i.e., Kensington Managed and Arrow Managed go up and down completely randomly.
Pair Corralation between Kensington Managed and Arrow Managed
Assuming the 90 days horizon Kensington Managed Income is expected to generate 0.15 times more return on investment than Arrow Managed. However, Kensington Managed Income is 6.52 times less risky than Arrow Managed. It trades about 0.1 of its potential returns per unit of risk. Arrow Managed Futures is currently generating about -0.01 per unit of risk. If you would invest 903.00 in Kensington Managed Income on September 12, 2024 and sell it today you would earn a total of 81.00 from holding Kensington Managed Income or generate 8.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kensington Managed Income vs. Arrow Managed Futures
Performance |
Timeline |
Kensington Managed Income |
Arrow Managed Futures |
Kensington Managed and Arrow Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kensington Managed and Arrow Managed
The main advantage of trading using opposite Kensington Managed and Arrow Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kensington Managed position performs unexpectedly, Arrow Managed 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 Arrow Managed will offset losses from the drop in Arrow Managed's long position.Kensington Managed vs. Calamos Dynamic Convertible | Kensington Managed vs. Rationalpier 88 Convertible | Kensington Managed vs. Gabelli Convertible And | Kensington Managed vs. Absolute Convertible Arbitrage |
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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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