Correlation Between Aig Government and Growth Strategy
Can any of the company-specific risk be diversified away by investing in both Aig Government and Growth Strategy 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 Growth Strategy 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 Growth Strategy Fund, you can compare the effects of market volatilities on Aig Government and Growth Strategy 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 Growth Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aig Government and Growth Strategy.
Diversification Opportunities for Aig Government and Growth Strategy
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aig and Growth is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Aig Government Money and Growth Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Growth Strategy 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 Growth Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Growth Strategy has no effect on the direction of Aig Government i.e., Aig Government and Growth Strategy go up and down completely randomly.
Pair Corralation between Aig Government and Growth Strategy
Assuming the 90 days horizon Aig Government Money is expected to generate 0.4 times more return on investment than Growth Strategy. However, Aig Government Money is 2.51 times less risky than Growth Strategy. It trades about -0.14 of its potential returns per unit of risk. Growth Strategy Fund is currently generating about -0.07 per unit of risk. If you would invest 1,021 in Aig Government Money on September 30, 2024 and sell it today you would lose (20.00) from holding Aig Government Money or give up 1.96% 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. Growth Strategy Fund
Performance |
Timeline |
Aig Government Money |
Growth Strategy |
Aig Government and Growth Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aig Government and Growth Strategy
The main advantage of trading using opposite Aig Government and Growth Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aig Government position performs unexpectedly, Growth Strategy 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 Growth Strategy will offset losses from the drop in Growth Strategy'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 |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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