Correlation Between Algorand and BeefyFinance

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Algorand and BeefyFinance 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 BeefyFinance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and BeefyFinance, you can compare the effects of market volatilities on Algorand and BeefyFinance 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 BeefyFinance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and BeefyFinance.

Diversification Opportunities for Algorand and BeefyFinance

0.47
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Algorand and BeefyFinance is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Beefy.Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BeefyFinance 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 BeefyFinance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BeefyFinance has no effect on the direction of Algorand i.e., Algorand and BeefyFinance go up and down completely randomly.

Pair Corralation between Algorand and BeefyFinance

Assuming the 90 days trading horizon Algorand is expected to under-perform the BeefyFinance. But the crypto coin apears to be less risky and, when comparing its historical volatility, Algorand is 25.75 times less risky than BeefyFinance. The crypto coin trades about -0.12 of its potential returns per unit of risk. The BeefyFinance is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  0.00  in BeefyFinance on February 19, 2022 and sell it today you would earn a total of  65,854  from holding BeefyFinance or generate 9.223372036854776E16% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy47.2%
ValuesDaily Returns

Algorand  vs.  Beefy.Finance

 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

BeefyFinance 
BeefyFinance Performance
11 of 100
Compared to the overall equity markets, risk-adjusted returns on investments in BeefyFinance are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak technical and fundamental indicators, BeefyFinance sustained solid returns over the last few months and may actually be approaching a breakup point.

BeefyFinance Price Channel

Algorand and BeefyFinance Volatility Contrast

 Predicted Return Density 
      Returns 

Pair Trading with Algorand and BeefyFinance

The main advantage of trading using opposite Algorand and BeefyFinance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, BeefyFinance 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 BeefyFinance will offset losses from the drop in BeefyFinance's long position.
The idea behind Algorand and BeefyFinance 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.

Other Complementary Tools

Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Go
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Go
ETF Directory
Find actively traded Exchange Traded Funds (ETF) from around the world
Go
Shere Portfolio
Track or share privately all of your investments from the convenience of any device
Go
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Go
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Go
Fund Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Go
Money Managers
Screen money managers from public funds and ETFs managed around the world
Go
Transaction History
View history of all your transactions and understand their impact on performance
Go
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Go
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Go