Correlation Between Consumer Discretionary and Retailing Portfolio

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

Diversification Opportunities for Consumer Discretionary and Retailing Portfolio

0.98
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Consumer and Retailing is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Consumer Discretionary Portfol and Retailing Portfolio Retailing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Retailing Portfolio and Consumer Discretionary 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 Consumer Discretionary Portfolio are associated (or correlated) with Retailing Portfolio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Retailing Portfolio has no effect on the direction of Consumer Discretionary i.e., Consumer Discretionary and Retailing Portfolio go up and down completely randomly.

Pair Corralation between Consumer Discretionary and Retailing Portfolio

Assuming the 90 days horizon Consumer Discretionary Portfolio is expected to generate 1.29 times more return on investment than Retailing Portfolio. However, Consumer Discretionary is 1.29 times more volatile than Retailing Portfolio Retailing. It trades about 0.16 of its potential returns per unit of risk. Retailing Portfolio Retailing is currently generating about 0.12 per unit of risk. If you would invest  6,523  in Consumer Discretionary Portfolio on September 23, 2024 and sell it today you would earn a total of  811.00  from holding Consumer Discretionary Portfolio or generate 12.43% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Consumer Discretionary Portfol  vs.  Retailing Portfolio Retailing

 Performance 
       Timeline  
Consumer Discretionary 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Consumer Discretionary Portfolio are ranked lower than 12 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Consumer Discretionary may actually be approaching a critical reversion point that can send shares even higher in January 2025.
Retailing Portfolio 

Risk-Adjusted Performance

9 of 100

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

Consumer Discretionary and Retailing Portfolio Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Consumer Discretionary and Retailing Portfolio

The main advantage of trading using opposite Consumer Discretionary and Retailing Portfolio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Consumer Discretionary position performs unexpectedly, Retailing Portfolio 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 Retailing Portfolio will offset losses from the drop in Retailing Portfolio's long position.
The idea behind Consumer Discretionary Portfolio and Retailing Portfolio Retailing 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

ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Equity Valuation
Check real value of public entities based on technical and fundamental data
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories