Correlation Between Goldman Sachs and MetLife

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

Diversification Opportunities for Goldman Sachs and MetLife

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Goldman Sachs and MetLife

If you would invest  873.00  in Goldman Sachs Target on January 24, 2024 and sell it today you would earn a total of  0.00  from holding Goldman Sachs Target or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy4.76%
ValuesDaily Returns

Goldman Sachs Target  vs.  MetLife

 Performance 
       Timeline  
Goldman Sachs Target 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Goldman Sachs Target has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Goldman Sachs is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
MetLife 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in MetLife are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, MetLife is not utilizing all of its potentials. The recent stock price uproar, may contribute to short-horizon losses for the private investors.

Goldman Sachs and MetLife Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Goldman Sachs and MetLife

The main advantage of trading using opposite Goldman Sachs and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, MetLife 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 MetLife will offset losses from the drop in MetLife's long position.
The idea behind Goldman Sachs Target and MetLife 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

Other Complementary Tools

Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Money Managers
Screen money managers from public funds and ETFs managed around the world
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Equity Valuation
Check real value of public entities based on technical and fundamental data