Correlation Between American Century and The Hartford
Can any of the company-specific risk be diversified away by investing in both American Century and The Hartford 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 American Century and The Hartford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Century High and The Hartford Equity, you can compare the effects of market volatilities on American Century and The Hartford 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 American Century with a short position of The Hartford. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Century and The Hartford.
Diversification Opportunities for American Century and The Hartford
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between American and The is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding American Century High and The Hartford Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Equity and American Century 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 American Century High are associated (or correlated) with The Hartford. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Equity has no effect on the direction of American Century i.e., American Century and The Hartford go up and down completely randomly.
Pair Corralation between American Century and The Hartford
Assuming the 90 days horizon American Century is expected to generate 7.48 times less return on investment than The Hartford. But when comparing it to its historical volatility, American Century High is 4.75 times less risky than The Hartford. It trades about 0.2 of its potential returns per unit of risk. The Hartford Equity is currently generating about 0.32 of returns per unit of risk over similar time horizon. If you would invest 2,229 in The Hartford Equity on September 3, 2024 and sell it today you would earn a total of 97.00 from holding The Hartford Equity or generate 4.35% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
American Century High vs. The Hartford Equity
Performance |
| Timeline |
| American Century High |
| Hartford Equity |
American Century and The Hartford Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with American Century and The Hartford
The main advantage of trading using opposite American Century and The Hartford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Century position performs unexpectedly, The Hartford 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 The Hartford will offset losses from the drop in The Hartford's long position.| American Century vs. Transamerica Emerging Markets | American Century vs. T Rowe Price | American Century vs. Growth Strategy Fund | American Century vs. Ep Emerging Markets |
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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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