Correlation Between Algorand and Stellar

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

Diversification Opportunities for Algorand and Stellar

0.89
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Algorand and Stellar is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Stellar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stellar 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 Stellar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stellar has no effect on the direction of Algorand i.e., Algorand and Stellar go up and down completely randomly.

Pair Corralation between Algorand and Stellar

Assuming the 90 days trading horizon Algorand is expected to under-perform the Stellar. But the crypto coin apears to be less risky and, when comparing its historical volatility, Algorand is 1.05 times less risky than Stellar. The crypto coin trades about -0.01 of its potential returns per unit of risk. The Stellar is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest  17.00  in Stellar on January 24, 2024 and sell it today you would lose (5.00) from holding Stellar or give up 29.41% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy99.81%
ValuesDaily Returns

Algorand  vs.  Stellar

 Performance 
       Timeline  
Algorand 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Algorand are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Algorand exhibited solid returns over the last few months and may actually be approaching a breakup point.
Stellar 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Stellar are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, Stellar exhibited solid returns over the last few months and may actually be approaching a breakup point.

Algorand and Stellar Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Algorand and Stellar

The main advantage of trading using opposite Algorand and Stellar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Stellar 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 Stellar will offset losses from the drop in Stellar's long position.
The idea behind Algorand and Stellar 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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