Correlation Between Dicker Data and Premier Investments
Can any of the company-specific risk be diversified away by investing in both Dicker Data and Premier Investments 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 Premier Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dicker Data and Premier Investments, you can compare the effects of market volatilities on Dicker Data and Premier Investments 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 Premier Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dicker Data and Premier Investments.
Diversification Opportunities for Dicker Data and Premier Investments
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dicker and Premier is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and Premier Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Premier Investments 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 Premier Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Premier Investments has no effect on the direction of Dicker Data i.e., Dicker Data and Premier Investments go up and down completely randomly.
Pair Corralation between Dicker Data and Premier Investments
Assuming the 90 days trading horizon Dicker Data is expected to under-perform the Premier Investments. But the stock apears to be less risky and, when comparing its historical volatility, Dicker Data is 1.54 times less risky than Premier Investments. The stock trades about -0.1 of its potential returns per unit of risk. The Premier Investments is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 3,504 in Premier Investments on August 31, 2024 and sell it today you would lose (39.00) from holding Premier Investments or give up 1.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dicker Data vs. Premier Investments
Performance |
Timeline |
Dicker Data |
Premier Investments |
Dicker Data and Premier Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dicker Data and Premier Investments
The main advantage of trading using opposite Dicker Data and Premier Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dicker Data position performs unexpectedly, Premier Investments 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 Premier Investments will offset losses from the drop in Premier Investments' long position.Dicker Data vs. Amani Gold | Dicker Data vs. A1 Investments Resources | Dicker Data vs. Coronado Global Resources | Dicker Data vs. Hutchison Telecommunications |
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Check out your portfolio center.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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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