Correlation Between Aig Government and Morgan Stanley
Can any of the company-specific risk be diversified away by investing in both Aig Government and Morgan Stanley 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 Morgan Stanley 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 Morgan Stanley Government, you can compare the effects of market volatilities on Aig Government and Morgan Stanley 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 Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aig Government and Morgan Stanley.
Diversification Opportunities for Aig Government and Morgan Stanley
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Aig and Morgan is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Aig Government Money and Morgan Stanley Government in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley Government 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 Morgan Stanley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Morgan Stanley Government has no effect on the direction of Aig Government i.e., Aig Government and Morgan Stanley go up and down completely randomly.
Pair Corralation between Aig Government and Morgan Stanley
Assuming the 90 days horizon Aig Government Money is expected to generate 0.25 times more return on investment than Morgan Stanley. However, Aig Government Money is 3.99 times less risky than Morgan Stanley. It trades about -0.08 of its potential returns per unit of risk. Morgan Stanley Government is currently generating about -0.16 per unit of risk. If you would invest 1,016 in Aig Government Money on October 8, 2024 and sell it today you would lose (11.00) from holding Aig Government Money or give up 1.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Aig Government Money vs. Morgan Stanley Government
Performance |
Timeline |
Aig Government Money |
Morgan Stanley Government |
Aig Government and Morgan Stanley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aig Government and Morgan Stanley
The main advantage of trading using opposite Aig Government and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aig Government position performs unexpectedly, Morgan Stanley 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 Morgan Stanley will offset losses from the drop in Morgan Stanley's long position.Aig Government vs. Alphacentric Lifesci Healthcare | Aig Government vs. Baillie Gifford Health | Aig Government vs. Eventide Healthcare Life | 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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