Correlation Between Materials Portfolio and Strategic Allocation

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

Diversification Opportunities for Materials Portfolio and Strategic Allocation

0.79
  Correlation Coefficient

Poor diversification

The 3 months correlation between Materials and Strategic is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Materials Portfolio Fidelity and Strategic Allocation Servative in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strategic Allocation and Materials Portfolio 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 Materials Portfolio Fidelity are associated (or correlated) with Strategic Allocation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strategic Allocation has no effect on the direction of Materials Portfolio i.e., Materials Portfolio and Strategic Allocation go up and down completely randomly.

Pair Corralation between Materials Portfolio and Strategic Allocation

Assuming the 90 days horizon Materials Portfolio Fidelity is expected to generate 2.6 times more return on investment than Strategic Allocation. However, Materials Portfolio is 2.6 times more volatile than Strategic Allocation Servative. It trades about 0.18 of its potential returns per unit of risk. Strategic Allocation Servative is currently generating about 0.44 per unit of risk. If you would invest  9,902  in Materials Portfolio Fidelity on September 2, 2024 and sell it today you would earn a total of  331.00  from holding Materials Portfolio Fidelity or generate 3.34% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Materials Portfolio Fidelity  vs.  Strategic Allocation Servative

 Performance 
       Timeline  
Materials Portfolio 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Materials Portfolio Fidelity are ranked lower than 9 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak technical and fundamental indicators, Materials Portfolio may actually be approaching a critical reversion point that can send shares even higher in January 2025.
Strategic Allocation 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Strategic Allocation Servative are ranked lower than 13 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong technical and fundamental indicators, Strategic Allocation is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Materials Portfolio and Strategic Allocation Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Materials Portfolio and Strategic Allocation

The main advantage of trading using opposite Materials Portfolio and Strategic Allocation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Materials Portfolio position performs unexpectedly, Strategic Allocation 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 Strategic Allocation will offset losses from the drop in Strategic Allocation's long position.
The idea behind Materials Portfolio Fidelity and Strategic Allocation Servative 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

Other Complementary Tools

Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Equity Valuation
Check real value of public entities based on technical and fundamental data
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk