Correlation Between Schwab Health and Fidelity Series

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

Diversification Opportunities for Schwab Health and Fidelity Series

SchwabFidelityDiversified AwaySchwabFidelityDiversified Away100%
0.74
  Correlation Coefficient

Poor diversification

The 3 months correlation between Schwab and Fidelity is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Schwab Health Care and Fidelity Series Government in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Series Gove and Schwab Health 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 Schwab Health Care 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 Gove has no effect on the direction of Schwab Health i.e., Schwab Health and Fidelity Series go up and down completely randomly.

Pair Corralation between Schwab Health and Fidelity Series

Assuming the 90 days horizon Schwab Health Care is expected to under-perform the Fidelity Series. In addition to that, Schwab Health is 2.06 times more volatile than Fidelity Series Government. It trades about -0.02 of its total potential returns per unit of risk. Fidelity Series Government is currently generating about 0.19 per unit of volatility. If you would invest  901.00  in Fidelity Series Government on December 13, 2024 and sell it today you would earn a total of  13.00  from holding Fidelity Series Government or generate 1.44% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Schwab Health Care  vs.  Fidelity Series Government

 Performance 
JavaScript chart by amCharts 3.21.15Dec2025Feb -10-50
JavaScript chart by amCharts 3.21.15SWHFX FHNFX
       Timeline  
Schwab Health Care 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Schwab Health Care has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical and fundamental indicators, Schwab Health is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
JavaScript chart by amCharts 3.21.15JanFebMarFebMar23.52424.52525.526
Fidelity Series Gove 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Fidelity Series Government are ranked lower than 7 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong technical and fundamental indicators, Fidelity Series is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
JavaScript chart by amCharts 3.21.15JanFebMarFebMar8.98.9599.059.19.159.2

Schwab Health and Fidelity Series Volatility Contrast

   Predicted Return Density   
JavaScript chart by amCharts 3.21.15-2.08-1.58-1.08-0.58-0.08640.350.851.351.85 1234
JavaScript chart by amCharts 3.21.15SWHFX FHNFX
       Returns  

Pair Trading with Schwab Health and Fidelity Series

The main advantage of trading using opposite Schwab Health and Fidelity Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schwab Health 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 Schwab Health Care and Fidelity Series Government 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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

Other Complementary Tools

Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity