Correlation Between Dicker Data and COG Financial

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

By analyzing existing cross correlation between Dicker Data and COG Financial Services, you can compare the effects of market volatilities on Dicker Data and COG Financial 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 COG Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dicker Data and COG Financial.

Diversification Opportunities for Dicker Data and COG Financial

0.36

Correlation Coefficient

Dicker Data  COG Financial

Weak diversification

The 3 months correlation between Dicker and COG is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and COG Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COG Financial Services 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 COG Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COG Financial Services has no effect on the direction of Dicker Data i.e., Dicker Data and COG Financial go up and down completely randomly.

Pair Corralation between Dicker Data and COG Financial

Assuming the 90 days trading horizon Dicker Data is expected to generate 0.84 times more return on investment than COG Financial. However, Dicker Data is 1.19 times less risky than COG Financial. It trades about -0.04 of its potential returns per unit of risk. COG Financial Services is currently generating about -0.04 per unit of risk. If you would invest  1,094  in Dicker Data on October 9, 2024 and sell it today you would lose (257.00) from holding Dicker Data or give up 23.49% of portfolio value over 90 days.

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

Dicker Data  vs.  COG Financial Services

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.

COG Financial Services

Risk-Adjusted Performance

5 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in COG Financial Services are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak technical and fundamental indicators, COG Financial may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with Dicker Data and COG Financial

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

The idea behind Dicker Data and COG Financial Services 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.