Correlation Between Dicker Data and Platinum Asset
Can any of the company-specific risk be diversified away by investing in both Dicker Data and Platinum Asset 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 Platinum Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dicker Data and Platinum Asset Management, you can compare the effects of market volatilities on Dicker Data and Platinum Asset 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 Platinum Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dicker Data and Platinum Asset.
Diversification Opportunities for Dicker Data and Platinum Asset
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dicker and Platinum is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and Platinum Asset Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Platinum Asset Management 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 Platinum Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Platinum Asset Management has no effect on the direction of Dicker Data i.e., Dicker Data and Platinum Asset go up and down completely randomly.
Pair Corralation between Dicker Data and Platinum Asset
Assuming the 90 days trading horizon Dicker Data is expected to generate 0.47 times more return on investment than Platinum Asset. However, Dicker Data is 2.13 times less risky than Platinum Asset. It trades about -0.06 of its potential returns per unit of risk. Platinum Asset Management is currently generating about -0.04 per unit of risk. If you would invest 893.00 in Dicker Data on September 12, 2024 and sell it today you would lose (54.00) from holding Dicker Data or give up 6.05% 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. Platinum Asset Management
Performance |
Timeline |
Dicker Data |
Platinum Asset Management |
Dicker Data and Platinum Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dicker Data and Platinum Asset
The main advantage of trading using opposite Dicker Data and Platinum Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dicker Data position performs unexpectedly, Platinum Asset 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 Platinum Asset will offset losses from the drop in Platinum Asset's long position.Dicker Data vs. Aneka Tambang Tbk | Dicker Data vs. BHP Group Limited | Dicker Data vs. Commonwealth Bank | Dicker Data vs. Commonwealth Bank of |
Platinum Asset vs. Aneka Tambang Tbk | Platinum Asset vs. Commonwealth Bank | Platinum Asset vs. BHP Group Limited | Platinum Asset vs. Rio Tinto |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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