Correlation Between Morgan Stanley and Dong A
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Dong A 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 Dong A 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 Dong A Hotel, you can compare the effects of market volatilities on Morgan Stanley and Dong A 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 Dong A. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Dong A.
Diversification Opportunities for Morgan Stanley and Dong A
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Morgan and Dong is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Dong A Hotel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dong A Hotel 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 Dong A. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dong A Hotel has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Dong A go up and down completely randomly.
Pair Corralation between Morgan Stanley and Dong A
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 1.21 times more return on investment than Dong A. However, Morgan Stanley is 1.21 times more volatile than Dong A Hotel. It trades about 0.04 of its potential returns per unit of risk. Dong A Hotel is currently generating about -0.09 per unit of risk. If you would invest 1,907 in Morgan Stanley Direct on September 12, 2024 and sell it today you would earn a total of 199.00 from holding Morgan Stanley Direct or generate 10.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 67.99% |
Values | Daily Returns |
Morgan Stanley Direct vs. Dong A Hotel
Performance |
Timeline |
Morgan Stanley Direct |
Dong A Hotel |
Morgan Stanley and Dong A Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Dong A
The main advantage of trading using opposite Morgan Stanley and Dong A positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Dong A 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 Dong A will offset losses from the drop in Dong A's long position.Morgan Stanley vs. Pinterest | Morgan Stanley vs. Organic Sales and | Morgan Stanley vs. Global E Online | Morgan Stanley vs. Freedom Internet Group |
Dong A vs. Telecoms Informatics JSC | Dong A vs. POST TELECOMMU | Dong A vs. South Basic Chemicals | Dong A vs. Saigon Beer Alcohol |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |