Correlation Between Metropolitan West and Arrow Managed
Can any of the company-specific risk be diversified away by investing in both Metropolitan West 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 Metropolitan West and Arrow Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metropolitan West Low and Arrow Managed Futures, you can compare the effects of market volatilities on Metropolitan West 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 Metropolitan West with a short position of Arrow Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metropolitan West and Arrow Managed.
Diversification Opportunities for Metropolitan West and Arrow Managed
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Metropolitan and Arrow is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Metropolitan West Low 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 Metropolitan West 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 Metropolitan West Low 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 Metropolitan West i.e., Metropolitan West and Arrow Managed go up and down completely randomly.
Pair Corralation between Metropolitan West and Arrow Managed
Assuming the 90 days horizon Metropolitan West Low is expected to generate 0.11 times more return on investment than Arrow Managed. However, Metropolitan West Low is 9.41 times less risky than Arrow Managed. It trades about -0.12 of its potential returns per unit of risk. Arrow Managed Futures is currently generating about -0.02 per unit of risk. If you would invest 843.00 in Metropolitan West Low on September 14, 2024 and sell it today you would lose (8.00) from holding Metropolitan West Low or give up 0.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Metropolitan West Low vs. Arrow Managed Futures
Performance |
Timeline |
Metropolitan West Low |
Arrow Managed Futures |
Metropolitan West and Arrow Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metropolitan West and Arrow Managed
The main advantage of trading using opposite Metropolitan West and Arrow Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metropolitan West 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.Metropolitan West vs. Oppenheimer Gold Special | Metropolitan West vs. Precious Metals And | Metropolitan West vs. Global Gold Fund | Metropolitan West vs. Invesco Gold Special |
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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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