Correlation Between Us Small and Aristotle Funds
Can any of the company-specific risk be diversified away by investing in both Us Small and Aristotle Funds 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 Us Small and Aristotle Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Us Small Cap and Aristotle Funds Series, you can compare the effects of market volatilities on Us Small and Aristotle Funds 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 Us Small with a short position of Aristotle Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Us Small and Aristotle Funds.
Diversification Opportunities for Us Small and Aristotle Funds
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between DFSTX and Aristotle is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Us Small Cap and Aristotle Funds Series in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aristotle Funds Series and Us Small 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 Us Small Cap are associated (or correlated) with Aristotle Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aristotle Funds Series has no effect on the direction of Us Small i.e., Us Small and Aristotle Funds go up and down completely randomly.
Pair Corralation between Us Small and Aristotle Funds
Assuming the 90 days horizon Us Small Cap is expected to generate 1.08 times more return on investment than Aristotle Funds. However, Us Small is 1.08 times more volatile than Aristotle Funds Series. It trades about 0.05 of its potential returns per unit of risk. Aristotle Funds Series is currently generating about 0.03 per unit of risk. If you would invest 3,829 in Us Small Cap on September 30, 2024 and sell it today you would earn a total of 1,090 from holding Us Small Cap or generate 28.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 86.52% |
Values | Daily Returns |
Us Small Cap vs. Aristotle Funds Series
Performance |
Timeline |
Us Small Cap |
Aristotle Funds Series |
Us Small and Aristotle Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Us Small and Aristotle Funds
The main advantage of trading using opposite Us Small and Aristotle Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Us Small position performs unexpectedly, Aristotle Funds 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 Aristotle Funds will offset losses from the drop in Aristotle Funds' long position.Us Small vs. Intal High Relative | Us Small vs. Dfa International | Us Small vs. Dfa Inflation Protected | Us Small vs. Dfa International Small |
Aristotle Funds vs. Aristotle Funds Series | Aristotle Funds vs. Aristotle Funds Series | Aristotle Funds vs. Aristotle International Eq | Aristotle Funds vs. Aristotle Value Eq |
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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