Correlation Between Utilities Ultrasector and Financials Ultrasector

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

Diversification Opportunities for Utilities Ultrasector and Financials Ultrasector

-0.06
  Correlation Coefficient

Good diversification

The 3 months correlation between Utilities and Financials is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Utilities Ultrasector Profund and Financials Ultrasector Profund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financials Ultrasector and Utilities Ultrasector 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 Utilities Ultrasector Profund are associated (or correlated) with Financials Ultrasector. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financials Ultrasector has no effect on the direction of Utilities Ultrasector i.e., Utilities Ultrasector and Financials Ultrasector go up and down completely randomly.

Pair Corralation between Utilities Ultrasector and Financials Ultrasector

Assuming the 90 days horizon Utilities Ultrasector Profund is expected to generate 1.29 times more return on investment than Financials Ultrasector. However, Utilities Ultrasector is 1.29 times more volatile than Financials Ultrasector Profund. It trades about -0.3 of its potential returns per unit of risk. Financials Ultrasector Profund is currently generating about -0.42 per unit of risk. If you would invest  7,742  in Utilities Ultrasector Profund on September 25, 2024 and sell it today you would lose (722.00) from holding Utilities Ultrasector Profund or give up 9.33% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy95.24%
ValuesDaily Returns

Utilities Ultrasector Profund  vs.  Financials Ultrasector Profund

 Performance 
       Timeline  
Utilities Ultrasector 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Utilities Ultrasector Profund has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's forward indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.
Financials Ultrasector 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Financials Ultrasector Profund are ranked lower than 6 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak forward indicators, Financials Ultrasector may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Utilities Ultrasector and Financials Ultrasector Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Utilities Ultrasector and Financials Ultrasector

The main advantage of trading using opposite Utilities Ultrasector and Financials Ultrasector positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Utilities Ultrasector position performs unexpectedly, Financials Ultrasector 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 Financials Ultrasector will offset losses from the drop in Financials Ultrasector's long position.
The idea behind Utilities Ultrasector Profund and Financials Ultrasector Profund 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.

Other Complementary Tools

Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Money Managers
Screen money managers from public funds and ETFs managed around the world
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm