Correlation Between Power Financial and Infrastructure Dividend

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

Diversification Opportunities for Power Financial and Infrastructure Dividend

0.77
  Correlation Coefficient

Poor diversification

The 3 months correlation between Power and Infrastructure is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Power Financial Corp and Infrastructure Dividend Split in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infrastructure Dividend and Power Financial 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 Power Financial Corp are associated (or correlated) with Infrastructure Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Infrastructure Dividend has no effect on the direction of Power Financial i.e., Power Financial and Infrastructure Dividend go up and down completely randomly.

Pair Corralation between Power Financial and Infrastructure Dividend

Assuming the 90 days trading horizon Power Financial is expected to generate 1.96 times less return on investment than Infrastructure Dividend. But when comparing it to its historical volatility, Power Financial Corp is 1.89 times less risky than Infrastructure Dividend. It trades about 0.29 of its potential returns per unit of risk. Infrastructure Dividend Split is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest  1,360  in Infrastructure Dividend Split on April 22, 2025 and sell it today you would earn a total of  231.00  from holding Infrastructure Dividend Split or generate 16.99% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Power Financial Corp  vs.  Infrastructure Dividend Split

 Performance 
       Timeline  
Power Financial Corp 

Risk-Adjusted Performance

Solid

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Power Financial Corp are ranked lower than 22 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unfluctuating technical and fundamental indicators, Power Financial may actually be approaching a critical reversion point that can send shares even higher in August 2025.
Infrastructure Dividend 

Risk-Adjusted Performance

Solid

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Infrastructure Dividend Split are ranked lower than 23 (%) of all global equities and portfolios over the last 90 days. In spite of very abnormal basic indicators, Infrastructure Dividend displayed solid returns over the last few months and may actually be approaching a breakup point.

Power Financial and Infrastructure Dividend Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Power Financial and Infrastructure Dividend

The main advantage of trading using opposite Power Financial and Infrastructure Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Financial position performs unexpectedly, Infrastructure Dividend 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 Infrastructure Dividend will offset losses from the drop in Infrastructure Dividend's long position.
The idea behind Power Financial Corp and Infrastructure Dividend Split 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

Other Complementary Tools

Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Commodity Directory
Find actively traded commodities issued by global exchanges
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated