Correlation Between Big Time and XMX

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

Diversification Opportunities for Big Time and XMX

0.88
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Big and XMX is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Big Time and XMX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XMX and Big Time 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 Big Time are associated (or correlated) with XMX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XMX has no effect on the direction of Big Time i.e., Big Time and XMX go up and down completely randomly.

Pair Corralation between Big Time and XMX

Assuming the 90 days trading horizon Big Time is expected to under-perform the XMX. In addition to that, Big Time is 1.33 times more volatile than XMX. It trades about -0.14 of its total potential returns per unit of risk. XMX is currently generating about -0.07 per unit of volatility. If you would invest  0.00  in XMX on November 27, 2024 and sell it today you would lose  0.00  from holding XMX or give up 11.11% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Big Time  vs.  XMX

 Performance 
       Timeline  
Big Time 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Big Time has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for Big Time shareholders.
XMX 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days XMX has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for XMX shareholders.

Big Time and XMX Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Big Time and XMX

The main advantage of trading using opposite Big Time and XMX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Big Time position performs unexpectedly, XMX 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 XMX will offset losses from the drop in XMX's long position.
The idea behind Big Time and XMX 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

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