Correlation Between XMX and KARRAT

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

Diversification Opportunities for XMX and KARRAT

0.55
  Correlation Coefficient

Very weak diversification

The 3 months correlation between XMX and KARRAT is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding XMX and KARRAT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KARRAT and XMX 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 XMX are associated (or correlated) with KARRAT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KARRAT has no effect on the direction of XMX i.e., XMX and KARRAT go up and down completely randomly.

Pair Corralation between XMX and KARRAT

Assuming the 90 days trading horizon XMX is expected to generate 3.58 times less return on investment than KARRAT. But when comparing it to its historical volatility, XMX is 2.79 times less risky than KARRAT. It trades about 0.08 of its potential returns per unit of risk. KARRAT is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  31.00  in KARRAT on September 1, 2024 and sell it today you would earn a total of  18.00  from holding KARRAT or generate 58.06% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

XMX  vs.  KARRAT

 Performance 
       Timeline  
XMX 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in XMX are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, XMX exhibited solid returns over the last few months and may actually be approaching a breakup point.
KARRAT 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in KARRAT are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady basic indicators, KARRAT sustained solid returns over the last few months and may actually be approaching a breakup point.

XMX and KARRAT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with XMX and KARRAT

The main advantage of trading using opposite XMX and KARRAT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XMX position performs unexpectedly, KARRAT 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 KARRAT will offset losses from the drop in KARRAT's long position.
The idea behind XMX and KARRAT 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

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