Correlation Between Algorand and HT

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

Diversification Opportunities for Algorand and HT

-0.59
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Algorand and HT is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and HT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HT 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 HT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HT has no effect on the direction of Algorand i.e., Algorand and HT go up and down completely randomly.

Pair Corralation between Algorand and HT

Assuming the 90 days trading horizon Algorand is expected to under-perform the HT. But the crypto coin apears to be less risky and, when comparing its historical volatility, Algorand is 1.05 times less risky than HT. The crypto coin trades about -0.21 of its potential returns per unit of risk. The HT is currently generating about -0.18 of returns per unit of risk over similar time horizon. If you would invest  84.00  in HT on January 20, 2024 and sell it today you would lose (22.00) from holding HT or give up 26.19% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Algorand  vs.  HT

 Performance 
       Timeline  
Algorand 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Algorand are ranked lower than 4 (%) 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.
HT 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days HT 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 May 2024. The latest tumult may also be a sign of longer-term up-swing for HT shareholders.

Algorand and HT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Algorand and HT

The main advantage of trading using opposite Algorand and HT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, HT 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 HT will offset losses from the drop in HT's long position.
The idea behind Algorand and HT 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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