Correlation Between Perpetual Credit and Dicker Data

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

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

Diversification Opportunities for Perpetual Credit and Dicker Data

-0.75

Correlation Coefficient

Perpetual Credit  Dicker Data

Pay attention - limited upside

The 3 months correlation between Perpetual and Dicker is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Perpetual Credit Income and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Perpetual Credit 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 Perpetual Credit Income 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 Perpetual Credit i.e., Perpetual Credit and Dicker Data go up and down completely randomly.

Pair Corralation between Perpetual Credit and Dicker Data

Assuming the 90 days trading horizon Perpetual Credit Income is expected to generate 0.51 times more return on investment than Dicker Data. However, Perpetual Credit Income is 1.97 times less risky than Dicker Data. It trades about 0.17 of its potential returns per unit of risk. Dicker Data is currently generating about -0.02 per unit of risk. If you would invest  115.00  in Perpetual Credit Income on October 4, 2024 and sell it today you would earn a total of  3.00  from holding Perpetual Credit Income or generate 2.61% return on investment over 90 days.

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

Perpetual Credit Income  vs.  Dicker Data

Perpetual Credit Income

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Perpetual Credit Income are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable forward indicators, Perpetual Credit 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 latest weak 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.

Pair Trading with Perpetual Credit and Dicker Data

The main advantage of trading using opposite Perpetual Credit and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Perpetual Credit 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 Perpetual Credit Income 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.