Correlation Between Algorand and KMD

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

Diversification Opportunities for Algorand and KMD

0.61
  Correlation Coefficient

Poor diversification

The 3 months correlation between Algorand and KMD is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and KMD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KMD and Algorand 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 Algorand 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 Algorand i.e., Algorand and KMD go up and down completely randomly.

Pair Corralation between Algorand and KMD

Assuming the 90 days trading horizon Algorand is expected to generate 2.47 times less return on investment than KMD. But when comparing it to its historical volatility, Algorand is 1.22 times less risky than KMD. It trades about 0.02 of its potential returns per unit of risk. KMD is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest  36.00  in KMD on January 19, 2024 and sell it today you would earn a total of  3.00  from holding KMD or generate 8.33% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Algorand  vs.  KMD

 Performance 
       Timeline  
Algorand 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Algorand are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Algorand may actually be approaching a critical reversion point that can send shares even higher in May 2024.
KMD 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in KMD are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, KMD exhibited solid returns over the last few months and may actually be approaching a breakup point.

Algorand and KMD Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Algorand and KMD

The main advantage of trading using opposite Algorand and KMD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand 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 Algorand 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

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