Correlation Between Haw Par and Bristol-Myers Squibb

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

Diversification Opportunities for Haw Par and Bristol-Myers Squibb

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Haw and Bristol-Myers is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Haw Par and Bristol Myers Squibb in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bristol Myers Squibb and Haw Par 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 Haw Par are associated (or correlated) with Bristol-Myers Squibb. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bristol Myers Squibb has no effect on the direction of Haw Par i.e., Haw Par and Bristol-Myers Squibb go up and down completely randomly.

Pair Corralation between Haw Par and Bristol-Myers Squibb

If you would invest (100.00) in Bristol Myers Squibb on January 26, 2024 and sell it today you would earn a total of  100.00  from holding Bristol Myers Squibb or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Haw Par  vs.  Bristol Myers Squibb

 Performance 
       Timeline  
Haw Par 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Haw Par has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong basic indicators, Haw Par is not utilizing all of its potentials. The newest stock price disturbance, may contribute to short-term losses for the investors.
Bristol Myers Squibb 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Bristol Myers Squibb has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable primary indicators, Bristol-Myers Squibb is not utilizing all of its potentials. The current stock price agitation, may contribute to short-term losses for the retail investors.

Haw Par and Bristol-Myers Squibb Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Haw Par and Bristol-Myers Squibb

The main advantage of trading using opposite Haw Par and Bristol-Myers Squibb positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haw Par position performs unexpectedly, Bristol-Myers Squibb 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 Bristol-Myers Squibb will offset losses from the drop in Bristol-Myers Squibb's long position.
The idea behind Haw Par and Bristol Myers Squibb 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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.

Other Complementary Tools

ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets