Correlation Between Bank of New York and Morgan Stanley

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Bank of New York 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 Bank of New York and Morgan Stanley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of New and Morgan Stanley, you can compare the effects of market volatilities on Bank of New York 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 Bank of New York with a short position of Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of New York and Morgan Stanley.

Diversification Opportunities for Bank of New York and Morgan Stanley

0.78
  Correlation Coefficient

Poor diversification

The 3 months correlation between Bank and Morgan is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Bank of New and Morgan Stanley in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley and Bank of New York 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 Bank of New 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 Bank of New York i.e., Bank of New York and Morgan Stanley go up and down completely randomly.

Pair Corralation between Bank of New York and Morgan Stanley

Allowing for the 90-day total investment horizon Bank of New York is expected to generate 1.07 times less return on investment than Morgan Stanley. But when comparing it to its historical volatility, Bank of New is 1.42 times less risky than Morgan Stanley. It trades about 0.05 of its potential returns per unit of risk. Morgan Stanley is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  9,114  in Morgan Stanley on January 24, 2024 and sell it today you would earn a total of  95.00  from holding Morgan Stanley or generate 1.04% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Bank of New  vs.  Morgan Stanley

 Performance 
       Timeline  
Bank of New York 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Bank of New are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite quite persistent forward-looking signals, Bank of New York is not utilizing all of its potentials. The newest stock price mess, may contribute to short-term losses for the institutional investors.
Morgan Stanley 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Morgan Stanley are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unfluctuating basic indicators, Morgan Stanley may actually be approaching a critical reversion point that can send shares even higher in May 2024.

Bank of New York and Morgan Stanley Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bank of New York and Morgan Stanley

The main advantage of trading using opposite Bank of New York and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of New York 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.
The idea behind Bank of New and Morgan Stanley pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.

Other Complementary Tools

Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Commodity Directory
Find actively traded commodities issued by global exchanges
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Fundamental Analysis
View fundamental data based on most recent published financial statements