Correlation Between Central Europe and Morgan Stanley
Can any of the company-specific risk be diversified away by investing in both Central Europe 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 Central Europe and Morgan Stanley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Central Europe Russia and Morgan Stanley China, you can compare the effects of market volatilities on Central Europe 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 Central Europe with a short position of Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Central Europe and Morgan Stanley.
Diversification Opportunities for Central Europe and Morgan Stanley
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Central and Morgan is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Central Europe Russia and Morgan Stanley China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley China and Central Europe 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 Central Europe Russia 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 China has no effect on the direction of Central Europe i.e., Central Europe and Morgan Stanley go up and down completely randomly.
Pair Corralation between Central Europe and Morgan Stanley
Considering the 90-day investment horizon Central Europe Russia is expected to generate 2.12 times more return on investment than Morgan Stanley. However, Central Europe is 2.12 times more volatile than Morgan Stanley China. It trades about 0.16 of its potential returns per unit of risk. Morgan Stanley China is currently generating about 0.05 per unit of risk. If you would invest 1,152 in Central Europe Russia on November 28, 2024 and sell it today you would earn a total of 334.00 from holding Central Europe Russia or generate 28.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Central Europe Russia vs. Morgan Stanley China
Performance |
Timeline |
Central Europe Russia |
Morgan Stanley China |
Central Europe and Morgan Stanley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Central Europe and Morgan Stanley
The main advantage of trading using opposite Central Europe and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Central Europe 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.Central Europe vs. Mexico Closed | Central Europe vs. NXG NextGen Infrastructure | Central Europe vs. Taiwan Closed | Central Europe vs. Japan Smaller Capitalization |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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