Correlation Between Franklin New and Arrow Managed
Can any of the company-specific risk be diversified away by investing in both Franklin New 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 Franklin New and Arrow Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin New York and Arrow Managed Futures, you can compare the effects of market volatilities on Franklin New 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 Franklin New with a short position of Arrow Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin New and Arrow Managed.
Diversification Opportunities for Franklin New and Arrow Managed
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Franklin and Arrow is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Franklin New York 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 Franklin New 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 Franklin New York 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 Franklin New i.e., Franklin New and Arrow Managed go up and down completely randomly.
Pair Corralation between Franklin New and Arrow Managed
Assuming the 90 days horizon Franklin New York is expected to generate 0.17 times more return on investment than Arrow Managed. However, Franklin New York is 5.75 times less risky than Arrow Managed. It trades about -0.33 of its potential returns per unit of risk. Arrow Managed Futures is currently generating about -0.06 per unit of risk. If you would invest 1,086 in Franklin New York on October 4, 2024 and sell it today you would lose (14.00) from holding Franklin New York or give up 1.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin New York vs. Arrow Managed Futures
Performance |
Timeline |
Franklin New York |
Arrow Managed Futures |
Franklin New and Arrow Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin New and Arrow Managed
The main advantage of trading using opposite Franklin New and Arrow Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin New 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.Franklin New vs. Aqr Long Short Equity | Franklin New vs. Ultra Short Fixed Income | Franklin New vs. Siit Ultra Short | Franklin New vs. Abr Enhanced Short |
Arrow Managed vs. Arrow Managed Futures | Arrow Managed vs. Arrow Dwa Balanced | Arrow Managed vs. Arrow Dwa Balanced | Arrow Managed vs. Arrow Dwa Balanced |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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