Correlation Between Arrow Managed and First American
Can any of the company-specific risk be diversified away by investing in both Arrow Managed and First American 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 First American 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 First American Funds, you can compare the effects of market volatilities on Arrow Managed and First American 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 First American. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arrow Managed and First American.
Diversification Opportunities for Arrow Managed and First American
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Arrow and First is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Arrow Managed Futures and First American Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First American Funds 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 First American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First American Funds has no effect on the direction of Arrow Managed i.e., Arrow Managed and First American go up and down completely randomly.
Pair Corralation between Arrow Managed and First American
Assuming the 90 days horizon Arrow Managed Futures is expected to under-perform the First American. But the mutual fund apears to be less risky and, when comparing its historical volatility, Arrow Managed Futures is 15.41 times less risky than First American. The mutual fund trades about 0.0 of its potential returns per unit of risk. The First American Funds is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 95.00 in First American Funds on October 5, 2024 and sell it today you would earn a total of 5.00 from holding First American Funds or generate 5.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Arrow Managed Futures vs. First American Funds
Performance |
Timeline |
Arrow Managed Futures |
First American Funds |
Arrow Managed and First American Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arrow Managed and First American
The main advantage of trading using opposite Arrow Managed and First American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arrow Managed position performs unexpectedly, First American 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 First American will offset losses from the drop in First American's long position.Arrow Managed vs. Tiaa Cref Real Estate | Arrow Managed vs. Real Estate Fund | Arrow Managed vs. Real Estate Ultrasector | Arrow Managed vs. Deutsche Real Estate |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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