Correlation Between Microequities Asset and Dicker Data

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

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

Diversification Opportunities for Microequities Asset and Dicker Data

0.59

Correlation Coefficient

Microequities Asset  Dicker Data

Very weak diversification

The 3 months correlation between Microequities and Dicker is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Microequities Asset Management and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Microequities Asset 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 Microequities Asset Management 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 Microequities Asset i.e., Microequities Asset and Dicker Data go up and down completely randomly.

Pair Corralation between Microequities Asset and Dicker Data

Assuming the 90 days trading horizon Microequities Asset Management is expected to generate 1.17 times more return on investment than Dicker Data. However, Microequities Asset is 1.17 times more volatile than Dicker Data. It trades about 0.09 of its potential returns per unit of risk. Dicker Data is currently generating about 0.02 per unit of risk. If you would invest  50.00  in Microequities Asset Management on December 2, 2024 and sell it today you would earn a total of  6.00  from holding Microequities Asset Management or generate 12.0% return on investment over 90 days.

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

Microequities Asset Management  vs.  Dicker Data

Microequities Asset

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Microequities Asset Management are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain primary indicators, Microequities Asset unveiled solid returns over the last few months and may actually be approaching a breakup point.

Dicker Data

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Dicker Data are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. 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 Microequities Asset and Dicker Data

The main advantage of trading using opposite Microequities Asset and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microequities Asset 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 Microequities Asset Management 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.