Correlation Between Commodities Strategy and Franklin High

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

Diversification Opportunities for Commodities Strategy and Franklin High

-0.04
  Correlation Coefficient

Good diversification

The 3 months correlation between Commodities and Franklin is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Franklin High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin High Income and Commodities Strategy 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 Commodities Strategy Fund are associated (or correlated) with Franklin High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin High Income has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Franklin High go up and down completely randomly.

Pair Corralation between Commodities Strategy and Franklin High

Assuming the 90 days horizon Commodities Strategy Fund is expected to generate 5.05 times more return on investment than Franklin High. However, Commodities Strategy is 5.05 times more volatile than Franklin High Income. It trades about 0.07 of its potential returns per unit of risk. Franklin High Income is currently generating about 0.04 per unit of risk. If you would invest  2,857  in Commodities Strategy Fund on September 16, 2024 and sell it today you would earn a total of  124.00  from holding Commodities Strategy Fund or generate 4.34% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Commodities Strategy Fund  vs.  Franklin High Income

 Performance 
       Timeline  
Commodities Strategy 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Commodities Strategy Fund are ranked lower than 5 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong fundamental drivers, Commodities Strategy is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Franklin High Income 

Risk-Adjusted Performance

3 of 100

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

Commodities Strategy and Franklin High Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Commodities Strategy and Franklin High

The main advantage of trading using opposite Commodities Strategy and Franklin High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Franklin High 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 Franklin High will offset losses from the drop in Franklin High's long position.
The idea behind Commodities Strategy Fund and Franklin High Income 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

Other Complementary Tools

Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance