Correlation Between Financial Industries and The Hartford
Can any of the company-specific risk be diversified away by investing in both Financial Industries 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 Financial Industries and The Hartford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and The Hartford Small, you can compare the effects of market volatilities on Financial Industries 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 Financial Industries with a short position of The Hartford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and The Hartford.
Diversification Opportunities for Financial Industries and The Hartford
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Financial and The is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and The Hartford Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Small and Financial Industries 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 Financial Industries Fund 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 Small has no effect on the direction of Financial Industries i.e., Financial Industries and The Hartford go up and down completely randomly.
Pair Corralation between Financial Industries and The Hartford
Assuming the 90 days horizon Financial Industries Fund is expected to under-perform the The Hartford. In addition to that, Financial Industries is 1.14 times more volatile than The Hartford Small. It trades about -0.15 of its total potential returns per unit of risk. The Hartford Small is currently generating about -0.14 per unit of volatility. If you would invest 3,153 in The Hartford Small on November 28, 2024 and sell it today you would lose (296.00) from holding The Hartford Small or give up 9.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.31% |
Values | Daily Returns |
Financial Industries Fund vs. The Hartford Small
Performance |
Timeline |
Financial Industries |
Hartford Small |
Financial Industries and The Hartford Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and The Hartford
The main advantage of trading using opposite Financial Industries and The Hartford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries 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.Financial Industries vs. Siit Small Cap | Financial Industries vs. Transamerica International Small | Financial Industries vs. Ab Small Cap | Financial Industries vs. Champlain Small |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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