Correlation Between GOLDMAN and MetLife

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Can any of the company-specific risk be diversified away by investing in both GOLDMAN 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 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 GROUP and MetLife, you can compare the effects of market volatilities on GOLDMAN 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 with a short position of MetLife. Check out your portfolio center. Please also check ongoing floating volatility patterns of GOLDMAN and MetLife.

Diversification Opportunities for GOLDMAN and MetLife

0.4
  Correlation Coefficient

Very weak diversification

The 3 months correlation between GOLDMAN and MetLife is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding GOLDMAN SACHS GROUP and MetLife in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MetLife and GOLDMAN 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 GROUP 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 i.e., GOLDMAN and MetLife go up and down completely randomly.

Pair Corralation between GOLDMAN and MetLife

Assuming the 90 days trading horizon GOLDMAN SACHS GROUP is expected to under-perform the MetLife. In addition to that, GOLDMAN is 1.16 times more volatile than MetLife. It trades about -0.08 of its total potential returns per unit of risk. MetLife is currently generating about 0.14 per unit of volatility. If you would invest  7,722  in MetLife on September 3, 2024 and sell it today you would earn a total of  1,101  from holding MetLife or generate 14.26% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy43.75%
ValuesDaily Returns

GOLDMAN SACHS GROUP  vs.  MetLife

 Performance 
       Timeline  
GOLDMAN SACHS GROUP 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days GOLDMAN SACHS GROUP has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Bond's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for GOLDMAN SACHS GROUP investors.
MetLife 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in MetLife are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady technical and fundamental indicators, MetLife unveiled solid returns over the last few months and may actually be approaching a breakup point.

GOLDMAN and MetLife Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with GOLDMAN and MetLife

The main advantage of trading using opposite GOLDMAN and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GOLDMAN 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 GROUP 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.
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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