Correlation Between 0x and HYN

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Can any of the company-specific risk be diversified away by investing in both 0x and HYN 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 0x and HYN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 0x and HYN, you can compare the effects of market volatilities on 0x and HYN 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 0x with a short position of HYN. Check out your portfolio center. Please also check ongoing floating volatility patterns of 0x and HYN.

Diversification Opportunities for 0x and HYN

-0.7
  Correlation Coefficient
 0x
 HYN

Excellent diversification

The 3 months correlation between 0x and HYN is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding 0x and HYN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HYN and 0x 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 0x are associated (or correlated) with HYN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HYN has no effect on the direction of 0x i.e., 0x and HYN go up and down completely randomly.

Pair Corralation between 0x and HYN

If you would invest  3.31  in HYN on January 24, 2024 and sell it today you would earn a total of  0.00  from holding HYN or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy4.55%
ValuesDaily Returns

0x  vs.  HYN

 Performance 
       Timeline  
0x 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in 0x are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, 0x exhibited solid returns over the last few months and may actually be approaching a breakup point.
HYN 

Risk-Adjusted Performance

0 of 100

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

0x and HYN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with 0x and HYN

The main advantage of trading using opposite 0x and HYN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 0x position performs unexpectedly, HYN 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 HYN will offset losses from the drop in HYN's long position.
The idea behind 0x and HYN 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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