Correlation Between Morgan Stanley and Contact Energy
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Contact Energy 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 Morgan Stanley and Contact Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Direct and Contact Energy Limited, you can compare the effects of market volatilities on Morgan Stanley and Contact Energy 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 Morgan Stanley with a short position of Contact Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Contact Energy.
Diversification Opportunities for Morgan Stanley and Contact Energy
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Morgan and Contact is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Contact Energy Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Contact Energy and Morgan Stanley 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 Morgan Stanley Direct are associated (or correlated) with Contact Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Contact Energy has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Contact Energy go up and down completely randomly.
Pair Corralation between Morgan Stanley and Contact Energy
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 0.72 times more return on investment than Contact Energy. However, Morgan Stanley Direct is 1.4 times less risky than Contact Energy. It trades about 0.23 of its potential returns per unit of risk. Contact Energy Limited is currently generating about 0.01 per unit of risk. If you would invest 2,021 in Morgan Stanley Direct on September 15, 2024 and sell it today you would earn a total of 97.00 from holding Morgan Stanley Direct or generate 4.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Morgan Stanley Direct vs. Contact Energy Limited
Performance |
Timeline |
Morgan Stanley Direct |
Contact Energy |
Morgan Stanley and Contact Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Contact Energy
The main advantage of trading using opposite Morgan Stanley and Contact Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Contact Energy 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 Contact Energy will offset losses from the drop in Contact Energy's long position.Morgan Stanley vs. Lipocine | Morgan Stanley vs. Digi International | Morgan Stanley vs. Evertz Technologies Limited | Morgan Stanley vs. Videolocity International |
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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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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