Correlation Between Catalyst/smh High and Hartford Global
Can any of the company-specific risk be diversified away by investing in both Catalyst/smh High and Hartford Global 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 Catalyst/smh High and Hartford Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalystsmh High Income and Hartford Global Impact, you can compare the effects of market volatilities on Catalyst/smh High and Hartford Global 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 Catalyst/smh High with a short position of Hartford Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalyst/smh High and Hartford Global.
Diversification Opportunities for Catalyst/smh High and Hartford Global
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Catalyst/smh and Hartford is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Catalystsmh High Income and Hartford Global Impact in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Global Impact and Catalyst/smh High 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 Catalystsmh High Income are associated (or correlated) with Hartford Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Global Impact has no effect on the direction of Catalyst/smh High i.e., Catalyst/smh High and Hartford Global go up and down completely randomly.
Pair Corralation between Catalyst/smh High and Hartford Global
Assuming the 90 days horizon Catalystsmh High Income is expected to generate 0.37 times more return on investment than Hartford Global. However, Catalystsmh High Income is 2.71 times less risky than Hartford Global. It trades about -0.04 of its potential returns per unit of risk. Hartford Global Impact is currently generating about -0.03 per unit of risk. If you would invest 368.00 in Catalystsmh High Income on December 24, 2024 and sell it today you would lose (3.00) from holding Catalystsmh High Income or give up 0.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Catalystsmh High Income vs. Hartford Global Impact
Performance |
Timeline |
Catalystsmh High Income |
Hartford Global Impact |
Catalyst/smh High and Hartford Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalyst/smh High and Hartford Global
The main advantage of trading using opposite Catalyst/smh High and Hartford Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalyst/smh High position performs unexpectedly, Hartford Global 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 Hartford Global will offset losses from the drop in Hartford Global's long position.Catalyst/smh High vs. Transamerica Financial Life | Catalyst/smh High vs. Vanguard Financials Index | Catalyst/smh High vs. Rmb Mendon Financial | Catalyst/smh High vs. Davis Financial Fund |
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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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