Correlation Between Dicker Data and Microequities Asset

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

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

Diversification Opportunities for Dicker Data and Microequities Asset

0.64

Correlation Coefficient

Dicker Data  Microequities Asset

Poor diversification

The 3 months correlation between Dicker and Microequities is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and Microequities Asset Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microequities Asset and Dicker Data 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 Dicker Data are associated (or correlated) with Microequities Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microequities Asset has no effect on the direction of Dicker Data i.e., Dicker Data and Microequities Asset go up and down completely randomly.

Pair Corralation between Dicker Data and Microequities Asset

Assuming the 90 days trading horizon Dicker Data is expected to under-perform the Microequities Asset. But the stock apears to be less risky and, when comparing its historical volatility, Dicker Data is 1.63 times less risky than Microequities Asset. The stock trades about -0.06 of its potential returns per unit of risk. The Microequities Asset Management is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest  53.00  in Microequities Asset Management on September 12, 2024 and sell it today you would earn a total of  0.00  from holding Microequities Asset Management or generate 0.0% return on investment over 90 days.

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

Dicker Data  vs.  Microequities Asset Management

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.

Microequities Asset

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Microequities Asset Management has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable primary indicators, Microequities Asset 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 Dicker Data and Microequities Asset

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

The idea behind Dicker Data and Microequities Asset Management 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.