Correlation Between Parker Hannifin and SP High

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

Diversification Opportunities for Parker Hannifin and SP High

0.09
  Correlation Coefficient

Significant diversification

The 3 months correlation between Parker and SPHYDA is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Parker Hannifin and SP High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SP High Yield and Parker Hannifin 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 Parker Hannifin are associated (or correlated) with SP High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP High Yield has no effect on the direction of Parker Hannifin i.e., Parker Hannifin and SP High go up and down completely randomly.
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Pair Corralation between Parker Hannifin and SP High

Allowing for the 90-day total investment horizon Parker Hannifin is expected to generate 2.37 times more return on investment than SP High. However, Parker Hannifin is 2.37 times more volatile than SP High Yield. It trades about 0.06 of its potential returns per unit of risk. SP High Yield is currently generating about -0.13 per unit of risk. If you would invest  62,035  in Parker Hannifin on September 25, 2024 and sell it today you would earn a total of  3,222  from holding Parker Hannifin or generate 5.19% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy98.44%
ValuesDaily Returns

Parker Hannifin  vs.  SP High Yield

 Performance 
       Timeline  

Parker Hannifin and SP High Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Parker Hannifin and SP High

The main advantage of trading using opposite Parker Hannifin and SP High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Parker Hannifin position performs unexpectedly, SP 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 SP High will offset losses from the drop in SP High's long position.
The idea behind Parker Hannifin and SP High Yield 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.
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.

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