Correlation Between Argo Investments and Dicker Data

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

By analyzing existing cross correlation between Argo Investments and Dicker Data, you can compare the effects of market volatilities on Argo Investments and Dicker Data 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 Argo Investments with a short position of Dicker Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Argo Investments and Dicker Data.

Diversification Opportunities for Argo Investments and Dicker Data

-0.27

Correlation Coefficient

Argo Investments  Dicker Data

Very good diversification

The 3 months correlation between Argo and Dicker is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Argo Investments and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Argo Investments 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 Argo Investments are associated (or correlated) with Dicker Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dicker Data has no effect on the direction of Argo Investments i.e., Argo Investments and Dicker Data go up and down completely randomly.

Pair Corralation between Argo Investments and Dicker Data

Assuming the 90 days trading horizon Argo Investments is expected to under-perform the Dicker Data. But the stock apears to be less risky and, when comparing its historical volatility, Argo Investments is 2.23 times less risky than Dicker Data. The stock trades about -0.06 of its potential returns per unit of risk. The Dicker Data is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  838.00  in Dicker Data on September 27, 2024 and sell it today you would earn a total of  4.00  from holding Dicker Data or generate 0.48% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Argo Investments  vs.  Dicker Data

Argo Investments

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Argo Investments are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, Argo Investments is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Dicker Data

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Dicker Data has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

Pair Trading with Argo Investments and Dicker Data

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

The idea behind Argo Investments and Dicker Data 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.