Correlation Between Australian Agricultural and Dicker Data

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

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

Diversification Opportunities for Australian Agricultural and Dicker Data

0.54

Correlation Coefficient

Australian Agricultural  Dicker Data

Very weak diversification

The 3 months correlation between Australian and Dicker is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Australian Agricultural and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Australian Agricultural 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 Australian Agricultural 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 Australian Agricultural i.e., Australian Agricultural and Dicker Data go up and down completely randomly.

Pair Corralation between Australian Agricultural and Dicker Data

Assuming the 90 days trading horizon Australian Agricultural is expected to generate 0.87 times more return on investment than Dicker Data. However, Australian Agricultural is 1.15 times less risky than Dicker Data. It trades about 0.0 of its potential returns per unit of risk. Dicker Data is currently generating about -0.06 per unit of risk. If you would invest  140.00  in Australian Agricultural on September 12, 2024 and sell it today you would lose (1.00) from holding Australian Agricultural or give up 0.71% of portfolio value over 90 days.

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

Australian Agricultural  vs.  Dicker Data

Australian Agricultural

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Australian Agricultural has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable fundamental indicators, Australian Agricultural 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 comparatively stable basic indicators, Dicker Data is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Australian Agricultural and Dicker Data

The main advantage of trading using opposite Australian Agricultural and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Australian Agricultural 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 Australian Agricultural 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.