Correlation Between MetLife and Intel

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

Diversification Opportunities for MetLife and Intel

-0.2
  Correlation Coefficient

Good diversification

The 3 months correlation between MetLife and Intel is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding MetLife and Intel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intel and MetLife 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 MetLife are associated (or correlated) with Intel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intel has no effect on the direction of MetLife i.e., MetLife and Intel go up and down completely randomly.

Pair Corralation between MetLife and Intel

Considering the 90-day investment horizon MetLife is expected to generate 0.35 times more return on investment than Intel. However, MetLife is 2.82 times less risky than Intel. It trades about -0.03 of its potential returns per unit of risk. Intel is currently generating about -0.31 per unit of risk. If you would invest  7,310  in MetLife on January 25, 2024 and sell it today you would lose (57.00) from holding MetLife or give up 0.78% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

MetLife  vs.  Intel

 Performance 
       Timeline  
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 latest stock price uproar, may contribute to short-horizon losses for the private investors.
Intel 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Intel has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain rather sound which may send shares a bit higher in May 2024. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.

MetLife and Intel Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MetLife and Intel

The main advantage of trading using opposite MetLife and Intel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MetLife position performs unexpectedly, Intel 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 Intel will offset losses from the drop in Intel's long position.
The idea behind MetLife and Intel 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 Bonds Directory module to find actively traded corporate debentures issued by US companies.

Other Complementary Tools

Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Equity Valuation
Check real value of public entities based on technical and fundamental data
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity