Correlation Between Metropolitan West and Fidelity Series

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

Diversification Opportunities for Metropolitan West and Fidelity Series

0.45
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Metropolitan and Fidelity is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Metropolitan West High and Fidelity Series Intrinsic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Series Intrinsic and Metropolitan West 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 Metropolitan West High are associated (or correlated) with Fidelity Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Series Intrinsic has no effect on the direction of Metropolitan West i.e., Metropolitan West and Fidelity Series go up and down completely randomly.

Pair Corralation between Metropolitan West and Fidelity Series

Assuming the 90 days horizon Metropolitan West is expected to generate 14.28 times less return on investment than Fidelity Series. But when comparing it to its historical volatility, Metropolitan West High is 6.62 times less risky than Fidelity Series. It trades about 0.05 of its potential returns per unit of risk. Fidelity Series Intrinsic is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  1,012  in Fidelity Series Intrinsic on September 10, 2025 and sell it today you would earn a total of  78.00  from holding Fidelity Series Intrinsic or generate 7.71% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Metropolitan West High  vs.  Fidelity Series Intrinsic

 Performance 
       Timeline  
Metropolitan West High 

Risk-Adjusted Performance

Soft

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Metropolitan West High are ranked lower than 3 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong forward indicators, Metropolitan West is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Fidelity Series Intrinsic 

Risk-Adjusted Performance

Fair

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Fidelity Series Intrinsic are ranked lower than 8 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak essential indicators, Fidelity Series may actually be approaching a critical reversion point that can send shares even higher in January 2026.

Metropolitan West and Fidelity Series Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Metropolitan West and Fidelity Series

The main advantage of trading using opposite Metropolitan West and Fidelity Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metropolitan West position performs unexpectedly, Fidelity Series 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 Fidelity Series will offset losses from the drop in Fidelity Series' long position.
The idea behind Metropolitan West High and Fidelity Series Intrinsic 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

Other Complementary Tools

Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
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.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm