Correlation Between KARRAT and KMD

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

Diversification Opportunities for KARRAT and KMD

0.92
  Correlation Coefficient

Almost no diversification

The 3 months correlation between KARRAT and KMD is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding KARRAT and KMD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KMD and KARRAT 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 KARRAT are associated (or correlated) with KMD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KMD has no effect on the direction of KARRAT i.e., KARRAT and KMD go up and down completely randomly.

Pair Corralation between KARRAT and KMD

Assuming the 90 days trading horizon KARRAT is expected to under-perform the KMD. In addition to that, KARRAT is 1.6 times more volatile than KMD. It trades about -0.15 of its total potential returns per unit of risk. KMD is currently generating about -0.12 per unit of volatility. If you would invest  32.00  in KMD on November 27, 2024 and sell it today you would lose (15.00) from holding KMD or give up 46.87% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

KARRAT  vs.  KMD

 Performance 
       Timeline  
KARRAT 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days KARRAT has generated negative risk-adjusted returns adding no value to investors with long positions. Despite unsteady performance in the last few months, the Crypto's basic indicators remain somewhat strong which may send shares a bit higher in March 2025. The current disturbance may also be a sign of long term up-swing for KARRAT investors.
KMD 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days KMD 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 fundamental 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 KMD shareholders.

KARRAT and KMD Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with KARRAT and KMD

The main advantage of trading using opposite KARRAT and KMD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KARRAT position performs unexpectedly, KMD 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 KMD will offset losses from the drop in KMD's long position.
The idea behind KARRAT and KMD 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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