Correlation Between Near and ZJPN

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

Diversification Opportunities for Near and ZJPN

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Near and ZJPN

If you would invest  621.00  in Near on January 31, 2024 and sell it today you would earn a total of  4.00  from holding Near or generate 0.64% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Near  vs.  ZJPN

 Performance 
       Timeline  
Near 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Near are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Near exhibited solid returns over the last few months and may actually be approaching a breakup point.
ZJPN 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days ZJPN has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, ZJPN is not utilizing all of its potentials. The newest stock price disarray, may contribute to short-term losses for the investors.

Near and ZJPN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Near and ZJPN

The main advantage of trading using opposite Near and ZJPN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Near position performs unexpectedly, ZJPN 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 ZJPN will offset losses from the drop in ZJPN's long position.
The idea behind Near and ZJPN 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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