Correlation Between Algorand and Ampleforth

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

Diversification Opportunities for Algorand and Ampleforth

0.19
  Correlation Coefficient

Average diversification

The 3 months correlation between Algorand and Ampleforth is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Ampleforth in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Ampleforth 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 Ampleforth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ampleforth has no effect on the direction of Algorand i.e., Algorand and Ampleforth go up and down completely randomly.

Pair Corralation between Algorand and Ampleforth

Assuming the 90 days trading horizon Algorand is expected to under-perform the Ampleforth. In addition to that, Algorand is 2.07 times more volatile than Ampleforth. It trades about -0.19 of its total potential returns per unit of risk. Ampleforth is currently generating about -0.21 per unit of volatility. If you would invest  113.00  in Ampleforth on February 15, 2022 and sell it today you would lose (24.00)  from holding Ampleforth or give up 21.24% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Algorand  vs.  Ampleforth

 Performance (%) 
      Timeline 
Algorand 
Algorand Performance
0 of 100
Over the last 90 days Algorand has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Crypto's technical and fundamental indicators remain somewhat strong which may send shares a bit higher in June 2022. The current disturbance may also be a sign of long term up-swing for Algorand investors.

Algorand Price Channel

Ampleforth 
Ampleforth Performance
0 of 100
Over the last 90 days Ampleforth has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Ampleforth is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Ampleforth Price Channel

Algorand and Ampleforth Volatility Contrast

 Predicted Return Density 
      Returns 

Pair Trading with Algorand and Ampleforth

The main advantage of trading using opposite Algorand and Ampleforth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Ampleforth 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 Ampleforth will offset losses from the drop in Ampleforth's long position.
The idea behind Algorand and Ampleforth 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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