Correlation Between Aig Government and Fidelity Real
Can any of the company-specific risk be diversified away by investing in both Aig Government and Fidelity Real 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 Fidelity Real 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 Fidelity Real Estate, you can compare the effects of market volatilities on Aig Government and Fidelity Real 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 Fidelity Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aig Government and Fidelity Real.
Diversification Opportunities for Aig Government and Fidelity Real
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aig and FIDELITY is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Aig Government Money and Fidelity Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Real Estate 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 Fidelity Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Real Estate has no effect on the direction of Aig Government i.e., Aig Government and Fidelity Real go up and down completely randomly.
Pair Corralation between Aig Government and Fidelity Real
Assuming the 90 days horizon Aig Government Money is expected to under-perform the Fidelity Real. But the mutual fund apears to be less risky and, when comparing its historical volatility, Aig Government Money is 1.7 times less risky than Fidelity Real. The mutual fund trades about -0.03 of its potential returns per unit of risk. The Fidelity Real Estate is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,160 in Fidelity Real Estate on December 28, 2024 and sell it today you would earn a total of 29.00 from holding Fidelity Real Estate or generate 2.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aig Government Money vs. Fidelity Real Estate
Performance |
Timeline |
Aig Government Money |
Fidelity Real Estate |
Aig Government and Fidelity Real Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aig Government and Fidelity Real
The main advantage of trading using opposite Aig Government and Fidelity Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aig Government position performs unexpectedly, Fidelity Real 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 Fidelity Real will offset losses from the drop in Fidelity Real's long position.Aig Government vs. Schwab Health Care | Aig Government vs. Blackrock Health Sciences | Aig Government vs. Prudential Health Sciences | Aig Government vs. The Hartford Healthcare |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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