Correlation Between Multifactor and Moderate Strategy
Can any of the company-specific risk be diversified away by investing in both Multifactor and Moderate Strategy 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 Multifactor and Moderate Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multifactor Equity Fund and Moderate Strategy Fund, you can compare the effects of market volatilities on Multifactor and Moderate Strategy 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 Multifactor with a short position of Moderate Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multifactor and Moderate Strategy.
Diversification Opportunities for Multifactor and Moderate Strategy
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Multifactor and Moderate is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Multifactor Equity Fund and Moderate Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Moderate Strategy and Multifactor 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 Multifactor Equity Fund are associated (or correlated) with Moderate Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Moderate Strategy has no effect on the direction of Multifactor i.e., Multifactor and Moderate Strategy go up and down completely randomly.
Pair Corralation between Multifactor and Moderate Strategy
Assuming the 90 days horizon Multifactor Equity Fund is expected to generate 2.26 times more return on investment than Moderate Strategy. However, Multifactor is 2.26 times more volatile than Moderate Strategy Fund. It trades about 0.29 of its potential returns per unit of risk. Moderate Strategy Fund is currently generating about 0.28 per unit of risk. If you would invest 1,432 in Multifactor Equity Fund on April 24, 2025 and sell it today you would earn a total of 207.00 from holding Multifactor Equity Fund or generate 14.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
Multifactor Equity Fund vs. Moderate Strategy Fund
Performance |
Timeline |
Multifactor Equity |
Moderate Strategy |
Multifactor and Moderate Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multifactor and Moderate Strategy
The main advantage of trading using opposite Multifactor and Moderate Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multifactor position performs unexpectedly, Moderate Strategy 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 Moderate Strategy will offset losses from the drop in Moderate Strategy's long position.Multifactor vs. International Developed Markets | Multifactor vs. Global Real Estate | Multifactor vs. Global Real Estate | Multifactor vs. Global 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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