Correlation Between Morgan Stanley and Plum Acquisition
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Plum Acquisition 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 Plum Acquisition into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley and Plum Acquisition Corp, you can compare the effects of market volatilities on Morgan Stanley and Plum Acquisition 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 Plum Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Plum Acquisition.
Diversification Opportunities for Morgan Stanley and Plum Acquisition
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Morgan and Plum is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley and Plum Acquisition Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Plum Acquisition Corp 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 are associated (or correlated) with Plum Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Plum Acquisition Corp has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Plum Acquisition go up and down completely randomly.
Pair Corralation between Morgan Stanley and Plum Acquisition
Allowing for the 90-day total investment horizon Morgan Stanley is expected to generate 8.18 times more return on investment than Plum Acquisition. However, Morgan Stanley is 8.18 times more volatile than Plum Acquisition Corp. It trades about 0.15 of its potential returns per unit of risk. Plum Acquisition Corp is currently generating about 0.14 per unit of risk. If you would invest 10,167 in Morgan Stanley on September 21, 2024 and sell it today you would earn a total of 2,177 from holding Morgan Stanley or generate 21.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Morgan Stanley vs. Plum Acquisition Corp
Performance |
Timeline |
Morgan Stanley |
Plum Acquisition Corp |
Morgan Stanley and Plum Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Plum Acquisition
The main advantage of trading using opposite Morgan Stanley and Plum Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Plum Acquisition 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 Plum Acquisition will offset losses from the drop in Plum Acquisition's long position.Morgan Stanley vs. Mercurity Fintech Holding | Morgan Stanley vs. Donnelley Financial Solutions | Morgan Stanley vs. CreditRiskMonitorCom | Morgan Stanley vs. Mawson Infrastructure Group |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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