Correlation Between Small Cap and Morgan Stanley
Can any of the company-specific risk be diversified away by investing in both Small Cap 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 Small Cap and Morgan Stanley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Small Cap Premium and Morgan Stanley, you can compare the effects of market volatilities on Small Cap 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 Small Cap with a short position of Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Small Cap and Morgan Stanley.
Diversification Opportunities for Small Cap and Morgan Stanley
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Small and Morgan is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Small Cap Premium and Morgan Stanley in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley and Small Cap 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 Small Cap Premium 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 has no effect on the direction of Small Cap i.e., Small Cap and Morgan Stanley go up and down completely randomly.
Pair Corralation between Small Cap and Morgan Stanley
Considering the 90-day investment horizon Small Cap is expected to generate 3.15 times less return on investment than Morgan Stanley. But when comparing it to its historical volatility, Small Cap Premium is 3.76 times less risky than Morgan Stanley. It trades about 0.1 of its potential returns per unit of risk. Morgan Stanley is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 7,969 in Morgan Stanley on August 31, 2024 and sell it today you would earn a total of 5,152 from holding Morgan Stanley or generate 64.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Small Cap Premium vs. Morgan Stanley
Performance |
Timeline |
Small Cap Premium |
Morgan Stanley |
Small Cap and Morgan Stanley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Small Cap and Morgan Stanley
The main advantage of trading using opposite Small Cap and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Small Cap 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.Small Cap vs. RiverNorth Specialty Finance | Small Cap vs. Royce Micro Cap | Small Cap vs. First Trust Enhanced | Small Cap vs. Voya Global Advantage |
Morgan Stanley vs. Goldman Sachs Group | Morgan Stanley vs. Riot Blockchain | Morgan Stanley vs. Marathon Digital Holdings | Morgan Stanley vs. Applied Blockchain |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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