Correlation Between Hartford Healthcare and Columbia Seligman
Can any of the company-specific risk be diversified away by investing in both Hartford Healthcare and Columbia Seligman 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 Hartford Healthcare and Columbia Seligman into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hartford Healthcare Hls and Columbia Seligman Global, you can compare the effects of market volatilities on Hartford Healthcare and Columbia Seligman 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 Hartford Healthcare with a short position of Columbia Seligman. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hartford Healthcare and Columbia Seligman.
Diversification Opportunities for Hartford Healthcare and Columbia Seligman
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hartford and Columbia is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Hartford Healthcare Hls and Columbia Seligman Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Seligman Global and Hartford Healthcare 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 Hartford Healthcare Hls are associated (or correlated) with Columbia Seligman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Seligman Global has no effect on the direction of Hartford Healthcare i.e., Hartford Healthcare and Columbia Seligman go up and down completely randomly.
Pair Corralation between Hartford Healthcare and Columbia Seligman
Assuming the 90 days horizon Hartford Healthcare Hls is expected to under-perform the Columbia Seligman. But the mutual fund apears to be less risky and, when comparing its historical volatility, Hartford Healthcare Hls is 2.76 times less risky than Columbia Seligman. The mutual fund trades about -0.22 of its potential returns per unit of risk. The Columbia Seligman Global is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 8,220 in Columbia Seligman Global on September 13, 2024 and sell it today you would lose (433.00) from holding Columbia Seligman Global or give up 5.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hartford Healthcare Hls vs. Columbia Seligman Global
Performance |
Timeline |
Hartford Healthcare Hls |
Columbia Seligman Global |
Hartford Healthcare and Columbia Seligman Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hartford Healthcare and Columbia Seligman
The main advantage of trading using opposite Hartford Healthcare and Columbia Seligman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hartford Healthcare position performs unexpectedly, Columbia Seligman 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 Columbia Seligman will offset losses from the drop in Columbia Seligman's long position.The idea behind Hartford Healthcare Hls and Columbia Seligman Global pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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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