Correlation Between DGTX and PAY

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

Diversification Opportunities for DGTX and PAY

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  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between DGTX and PAY is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding DGTX and PAY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PAY and DGTX 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 DGTX are associated (or correlated) with PAY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PAY has no effect on the direction of DGTX i.e., DGTX and PAY go up and down completely randomly.

Pair Corralation between DGTX and PAY

Assuming the 90 days trading horizon DGTX is expected to under-perform the PAY. In addition to that, DGTX is 1.54 times more volatile than PAY. It trades about -0.06 of its total potential returns per unit of risk. PAY is currently generating about -0.07 per unit of volatility. If you would invest  0.78  in PAY on September 4, 2024 and sell it today you would lose (0.14) from holding PAY or give up 17.67% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

DGTX  vs.  PAY

 Performance 
       Timeline  
DGTX 

Risk-Adjusted Performance

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Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in DGTX are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, DGTX may actually be approaching a critical reversion point that can send shares even higher in January 2025.
PAY 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days PAY has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, PAY is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

DGTX and PAY Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DGTX and PAY

The main advantage of trading using opposite DGTX and PAY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DGTX position performs unexpectedly, PAY 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 PAY will offset losses from the drop in PAY's long position.
The idea behind DGTX and PAY 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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.

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