Correlation Between Morgan Stanley and Old Republic
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Old Republic 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 Old Republic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley and Old Republic International, you can compare the effects of market volatilities on Morgan Stanley and Old Republic 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 Old Republic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Old Republic.
Diversification Opportunities for Morgan Stanley and Old Republic
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Morgan and Old is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley and Old Republic International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Republic Interna 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 Old Republic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Republic Interna has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Old Republic go up and down completely randomly.
Pair Corralation between Morgan Stanley and Old Republic
Allowing for the 90-day total investment horizon Morgan Stanley is expected to generate 1.11 times more return on investment than Old Republic. However, Morgan Stanley is 1.11 times more volatile than Old Republic International. It trades about -0.12 of its potential returns per unit of risk. Old Republic International is currently generating about -0.21 per unit of risk. If you would invest 13,103 in Morgan Stanley on October 3, 2024 and sell it today you would lose (531.00) from holding Morgan Stanley or give up 4.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Morgan Stanley vs. Old Republic International
Performance |
Timeline |
Morgan Stanley |
Old Republic Interna |
Morgan Stanley and Old Republic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Old Republic
The main advantage of trading using opposite Morgan Stanley and Old Republic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Old Republic 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 Old Republic will offset losses from the drop in Old Republic's long position.Morgan Stanley vs. Lazard | Morgan Stanley vs. PJT Partners | Morgan Stanley vs. Houlihan Lokey | Morgan Stanley vs. Perella Weinberg Partners |
Old Republic vs. Donegal Group B | Old Republic vs. Horace Mann Educators | Old Republic vs. Donegal Group A | Old Republic vs. Global Indemnity PLC |
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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