Correlation Between Algorand and Goldman Sachs

Can any of the company-specific risk be diversified away by investing in both Algorand and Goldman Sachs 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 Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Algorand and Goldman Sachs Growth, you can compare the effects of market volatilities on Algorand and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Goldman Sachs.

Diversification Opportunities for Algorand and Goldman Sachs

-0.1

Correlation Coefficient

Algorand  Goldman Sachs

Good diversification

The 3 months correlation between Algorand and Goldman is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Goldman Sachs Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Growth 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Growth has no effect on the direction of Algorand i.e., Algorand and Goldman Sachs go up and down completely randomly.

Pair Corralation between Algorand and Goldman Sachs

Assuming the 90 days trading horizon Algorand is expected to under-perform the Goldman Sachs. In addition to that, Algorand is 8.24 times more volatile than Goldman Sachs Growth. It trades about -0.15 of its total potential returns per unit of risk. Goldman Sachs Growth is currently generating about 0.0 per unit of volatility. If you would invest  1,916  in Goldman Sachs Growth on December 22, 2024 and sell it today you would lose (6.00) from holding Goldman Sachs Growth or give up 0.31% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	93.85%
Values	Daily Returns

Algorand  vs.  Goldman Sachs Growth

Algorand

Risk-Adjusted Performance

Very Weak

Over the last 90 days Algorand 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 April 2025. The latest tumult may also be a sign of longer-term up-swing for Algorand shareholders.

Goldman Sachs Growth

Risk-Adjusted Performance

Very Weak

Over the last 90 days Goldman Sachs Growth has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Goldman Sachs is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Algorand and Goldman Sachs

The main advantage of trading using opposite Algorand and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.

The idea behind Algorand and Goldman Sachs Growth 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.

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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 Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.