Correlation Between Arrow Managed and Rm Greyhawk
Can any of the company-specific risk be diversified away by investing in both Arrow Managed and Rm Greyhawk 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 Arrow Managed and Rm Greyhawk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Arrow Managed Futures and Rm Greyhawk Fund, you can compare the effects of market volatilities on Arrow Managed and Rm Greyhawk 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 Arrow Managed with a short position of Rm Greyhawk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arrow Managed and Rm Greyhawk.
Diversification Opportunities for Arrow Managed and Rm Greyhawk
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Arrow and HAWKX is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Arrow Managed Futures and Rm Greyhawk Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rm Greyhawk Fund and Arrow 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 Arrow Managed Futures are associated (or correlated) with Rm Greyhawk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rm Greyhawk Fund has no effect on the direction of Arrow Managed i.e., Arrow Managed and Rm Greyhawk go up and down completely randomly.
Pair Corralation between Arrow Managed and Rm Greyhawk
Assuming the 90 days horizon Arrow Managed Futures is expected to generate 9.43 times more return on investment than Rm Greyhawk. However, Arrow Managed is 9.43 times more volatile than Rm Greyhawk Fund. It trades about 0.15 of its potential returns per unit of risk. Rm Greyhawk Fund is currently generating about -0.18 per unit of risk. If you would invest 558.00 in Arrow Managed Futures on September 29, 2024 and sell it today you would earn a total of 17.00 from holding Arrow Managed Futures or generate 3.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Arrow Managed Futures vs. Rm Greyhawk Fund
Performance |
Timeline |
Arrow Managed Futures |
Rm Greyhawk Fund |
Arrow Managed and Rm Greyhawk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arrow Managed and Rm Greyhawk
The main advantage of trading using opposite Arrow Managed and Rm Greyhawk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arrow Managed position performs unexpectedly, Rm Greyhawk 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 Rm Greyhawk will offset losses from the drop in Rm Greyhawk's long position.Arrow Managed vs. Gabelli Global Financial | Arrow Managed vs. Blackrock Financial Institutions | Arrow Managed vs. Vanguard Financials Index | Arrow Managed vs. Davis Financial Fund |
Rm Greyhawk vs. Arrow Managed Futures | Rm Greyhawk vs. Atac Inflation Rotation | Rm Greyhawk vs. Ab Bond Inflation | Rm Greyhawk vs. Aqr Managed Futures |
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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