Correlation Between Procter Gamble and Data Patterns

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

Diversification Opportunities for Procter Gamble and Data Patterns

-0.64
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Procter and Data is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Procter Gamble Health and Data Patterns Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Patterns Limited and Procter Gamble 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 Procter Gamble Health are associated (or correlated) with Data Patterns. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Patterns Limited has no effect on the direction of Procter Gamble i.e., Procter Gamble and Data Patterns go up and down completely randomly.

Pair Corralation between Procter Gamble and Data Patterns

Assuming the 90 days trading horizon Procter Gamble Health is expected to generate 0.54 times more return on investment than Data Patterns. However, Procter Gamble Health is 1.86 times less risky than Data Patterns. It trades about 0.12 of its potential returns per unit of risk. Data Patterns Limited is currently generating about -0.02 per unit of risk. If you would invest  566,648  in Procter Gamble Health on July 8, 2025 and sell it today you would earn a total of  60,502  from holding Procter Gamble Health or generate 10.68% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Procter Gamble Health  vs.  Data Patterns Limited

 Performance 
       Timeline  
Procter Gamble Health 

Risk-Adjusted Performance

Fair

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Procter Gamble Health are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unfluctuating basic indicators, Procter Gamble may actually be approaching a critical reversion point that can send shares even higher in November 2025.
Data Patterns Limited 

Risk-Adjusted Performance

Weakest

 
Weak
 
Strong
Over the last 90 days Data Patterns Limited has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Data Patterns is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Procter Gamble and Data Patterns Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Procter Gamble and Data Patterns

The main advantage of trading using opposite Procter Gamble and Data Patterns positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Procter Gamble position performs unexpectedly, Data Patterns 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 Data Patterns will offset losses from the drop in Data Patterns' long position.
The idea behind Procter Gamble Health and Data Patterns Limited 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.

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