Correlation Between Aig Government and Hartford Healthcare
Can any of the company-specific risk be diversified away by investing in both Aig Government and Hartford Healthcare 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 Aig Government and Hartford Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aig Government Money and Hartford Healthcare Hls, you can compare the effects of market volatilities on Aig Government and Hartford Healthcare 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 Aig Government with a short position of Hartford Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aig Government and Hartford Healthcare.
Diversification Opportunities for Aig Government and Hartford Healthcare
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aig and Hartford is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Aig Government Money and Hartford Healthcare Hls in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Healthcare Hls and Aig Government 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 Aig Government Money are associated (or correlated) with Hartford Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Healthcare Hls has no effect on the direction of Aig Government i.e., Aig Government and Hartford Healthcare go up and down completely randomly.
Pair Corralation between Aig Government and Hartford Healthcare
Assuming the 90 days horizon Aig Government Money is expected to generate 0.25 times more return on investment than Hartford Healthcare. However, Aig Government Money is 3.93 times less risky than Hartford Healthcare. It trades about -0.07 of its potential returns per unit of risk. Hartford Healthcare Hls is currently generating about -0.22 per unit of risk. If you would invest 1,019 in Aig Government Money on September 16, 2024 and sell it today you would lose (9.00) from holding Aig Government Money or give up 0.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aig Government Money vs. Hartford Healthcare Hls
Performance |
Timeline |
Aig Government Money |
Hartford Healthcare Hls |
Aig Government and Hartford Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aig Government and Hartford Healthcare
The main advantage of trading using opposite Aig Government and Hartford Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aig Government position performs unexpectedly, Hartford Healthcare 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 Healthcare will offset losses from the drop in Hartford Healthcare's long position.Aig Government vs. Simt Multi Asset Accumulation | Aig Government vs. Saat Market Growth | Aig Government vs. Simt Real Return | Aig Government vs. Simt Small Cap |
Hartford Healthcare vs. Lord Abbett Government | Hartford Healthcare vs. Sit Government Securities | Hartford Healthcare vs. Virtus Seix Government | Hartford Healthcare vs. Aig Government Money |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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