Correlation Between Fidelity Small and Wasatch Micro
Can any of the company-specific risk be diversified away by investing in both Fidelity Small and Wasatch Micro 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 Fidelity Small and Wasatch Micro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Small Cap and Wasatch Micro Cap, you can compare the effects of market volatilities on Fidelity Small and Wasatch Micro 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 Fidelity Small with a short position of Wasatch Micro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Small and Wasatch Micro.
Diversification Opportunities for Fidelity Small and Wasatch Micro
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fidelity and Wasatch is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Small Cap and Wasatch Micro Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wasatch Micro Cap and Fidelity 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 Fidelity Small Cap are associated (or correlated) with Wasatch Micro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wasatch Micro Cap has no effect on the direction of Fidelity Small i.e., Fidelity Small and Wasatch Micro go up and down completely randomly.
Pair Corralation between Fidelity Small and Wasatch Micro
Assuming the 90 days horizon Fidelity Small is expected to generate 1.97 times less return on investment than Wasatch Micro. In addition to that, Fidelity Small is 1.01 times more volatile than Wasatch Micro Cap. It trades about 0.05 of its total potential returns per unit of risk. Wasatch Micro Cap is currently generating about 0.11 per unit of volatility. If you would invest 400.00 in Wasatch Micro Cap on October 26, 2024 and sell it today you would earn a total of 32.00 from holding Wasatch Micro Cap or generate 8.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Small Cap vs. Wasatch Micro Cap
Performance |
Timeline |
Fidelity Small Cap |
Wasatch Micro Cap |
Fidelity Small and Wasatch Micro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Small and Wasatch Micro
The main advantage of trading using opposite Fidelity Small and Wasatch Micro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Small position performs unexpectedly, Wasatch Micro 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 Wasatch Micro will offset losses from the drop in Wasatch Micro's long position.Fidelity Small vs. Fidelity Small Cap | Fidelity Small vs. Fidelity Small Cap | Fidelity Small vs. Fidelity Mid Cap | Fidelity Small vs. Fidelity Advisor Value |
Wasatch Micro vs. Flakqx | Wasatch Micro vs. Tax Managed Large Cap | Wasatch Micro vs. Ftufox | Wasatch Micro vs. Qs Large Cap |
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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