Correlation Between Dicker Data and Block

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

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

Diversification Opportunities for Dicker Data and Block

-0.75

Correlation Coefficient

Dicker Data  Block

Pay attention - limited upside

The 3 months correlation between Dicker and Block is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and Block Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Block Inc 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 Block. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Block Inc has no effect on the direction of Dicker Data i.e., Dicker Data and Block go up and down completely randomly.

Pair Corralation between Dicker Data and Block

Assuming the 90 days trading horizon Dicker Data is expected to under-perform the Block. But the stock apears to be less risky and, when comparing its historical volatility, Dicker Data is 1.82 times less risky than Block. The stock trades about -0.08 of its potential returns per unit of risk. The Block Inc is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest  14,189  in Block Inc on September 21, 2024 and sell it today you would lose (6.00) from holding Block Inc or give up 0.04% of portfolio value over 90 days.

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

Dicker Data  vs.  Block Inc

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.

Block Inc

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Block Inc are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Block unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Dicker Data and Block

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

The idea behind Dicker Data and Block Inc 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.