Correlation Between Boxed and MOGU

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

Diversification Opportunities for Boxed and MOGU

-0.11
  Correlation Coefficient

Good diversification

The 3 months correlation between Boxed and MOGU is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Boxed Inc and MOGU Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MOGU Inc and Boxed 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 Boxed Inc are associated (or correlated) with MOGU. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MOGU Inc has no effect on the direction of Boxed i.e., Boxed and MOGU go up and down completely randomly.

Pair Corralation between Boxed and MOGU

If you would invest  215.00  in MOGU Inc on August 29, 2024 and sell it today you would earn a total of  5.00  from holding MOGU Inc or generate 2.33% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy4.55%
ValuesDaily Returns

Boxed Inc  vs.  MOGU Inc

 Performance 
       Timeline  
Boxed Inc 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Boxed Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, Boxed is not utilizing all of its potentials. The current stock price agitation, may contribute to short-term losses for the retail investors.
MOGU Inc 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in MOGU Inc are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady technical and fundamental indicators, MOGU unveiled solid returns over the last few months and may actually be approaching a breakup point.

Boxed and MOGU Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Boxed and MOGU

The main advantage of trading using opposite Boxed and MOGU positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boxed position performs unexpectedly, MOGU 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 MOGU will offset losses from the drop in MOGU's long position.
The idea behind Boxed Inc and MOGU Inc 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.
Check out your portfolio center.
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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