Correlation Between Auer Growth and Mfs Prudent
Can any of the company-specific risk be diversified away by investing in both Auer Growth and Mfs Prudent 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 Auer Growth and Mfs Prudent into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Auer Growth Fund and Mfs Prudent Investor, you can compare the effects of market volatilities on Auer Growth and Mfs Prudent 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 Auer Growth with a short position of Mfs Prudent. Check out your portfolio center. Please also check ongoing floating volatility patterns of Auer Growth and Mfs Prudent.
Diversification Opportunities for Auer Growth and Mfs Prudent
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Auer and Mfs is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Auer Growth Fund and Mfs Prudent Investor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Prudent Investor and Auer Growth 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 Auer Growth Fund are associated (or correlated) with Mfs Prudent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Prudent Investor has no effect on the direction of Auer Growth i.e., Auer Growth and Mfs Prudent go up and down completely randomly.
Pair Corralation between Auer Growth and Mfs Prudent
Assuming the 90 days horizon Auer Growth Fund is expected to under-perform the Mfs Prudent. In addition to that, Auer Growth is 7.59 times more volatile than Mfs Prudent Investor. It trades about -0.17 of its total potential returns per unit of risk. Mfs Prudent Investor is currently generating about 0.23 per unit of volatility. If you would invest 1,168 in Mfs Prudent Investor on November 29, 2024 and sell it today you would earn a total of 57.00 from holding Mfs Prudent Investor or generate 4.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Auer Growth Fund vs. Mfs Prudent Investor
Performance |
Timeline |
Auer Growth Fund |
Mfs Prudent Investor |
Auer Growth and Mfs Prudent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Auer Growth and Mfs Prudent
The main advantage of trading using opposite Auer Growth and Mfs Prudent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Auer Growth position performs unexpectedly, Mfs Prudent 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 Mfs Prudent will offset losses from the drop in Mfs Prudent's long position.Auer Growth vs. Lebenthal Lisanti Small | Auer Growth vs. Hodges Small Cap | Auer Growth vs. Schwartz Value Focused | Auer Growth vs. Oberweis Small Cap Opportunities |
Mfs Prudent vs. Mfs Prudent Investor | Mfs Prudent vs. Mfs Prudent Investor | Mfs Prudent vs. Mfs Prudent Investor | Mfs Prudent vs. Mfs Prudent Investor |
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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