Correlation Between Touchstone Mid and Catalyst/smh High
Can any of the company-specific risk be diversified away by investing in both Touchstone Mid and Catalyst/smh High 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 Touchstone Mid and Catalyst/smh High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Touchstone Mid Cap and Catalystsmh High Income, you can compare the effects of market volatilities on Touchstone Mid and Catalyst/smh High 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 Touchstone Mid with a short position of Catalyst/smh High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Touchstone Mid and Catalyst/smh High.
Diversification Opportunities for Touchstone Mid and Catalyst/smh High
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Touchstone and Catalyst/smh is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Touchstone Mid Cap and Catalystsmh High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystsmh High Income and Touchstone Mid 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 Touchstone Mid Cap are associated (or correlated) with Catalyst/smh High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystsmh High Income has no effect on the direction of Touchstone Mid i.e., Touchstone Mid and Catalyst/smh High go up and down completely randomly.
Pair Corralation between Touchstone Mid and Catalyst/smh High
Assuming the 90 days horizon Touchstone Mid Cap is expected to under-perform the Catalyst/smh High. In addition to that, Touchstone Mid is 3.73 times more volatile than Catalystsmh High Income. It trades about -0.17 of its total potential returns per unit of risk. Catalystsmh High Income is currently generating about -0.21 per unit of volatility. If you would invest 377.00 in Catalystsmh High Income on October 11, 2024 and sell it today you would lose (6.00) from holding Catalystsmh High Income or give up 1.59% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Touchstone Mid Cap vs. Catalystsmh High Income
Performance |
Timeline |
Touchstone Mid Cap |
Catalystsmh High Income |
Touchstone Mid and Catalyst/smh High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Touchstone Mid and Catalyst/smh High
The main advantage of trading using opposite Touchstone Mid and Catalyst/smh High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Touchstone Mid position performs unexpectedly, Catalyst/smh High 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 Catalyst/smh High will offset losses from the drop in Catalyst/smh High's long position.Touchstone Mid vs. Catalystsmh High Income | Touchstone Mid vs. Ab High Income | Touchstone Mid vs. Ab High Income | Touchstone Mid vs. Ab High Income |
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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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