Correlation Between Resource Base and Dicker Data
Can any of the company-specific risk be diversified away by investing in both Resource Base 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 Resource Base and Dicker Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Resource Base and Dicker Data, you can compare the effects of market volatilities on Resource Base 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 Resource Base with a short position of Dicker Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Resource Base and Dicker Data.
Diversification Opportunities for Resource Base and Dicker Data
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Resource and Dicker is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Resource Base and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Resource Base 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 Resource Base 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 Resource Base i.e., Resource Base and Dicker Data go up and down completely randomly.
Pair Corralation between Resource Base and Dicker Data
Assuming the 90 days trading horizon Resource Base is expected to under-perform the Dicker Data. In addition to that, Resource Base is 2.13 times more volatile than Dicker Data. It trades about -0.18 of its total potential returns per unit of risk. Dicker Data is currently generating about 0.02 per unit of volatility. If you would invest 838.00 in Dicker Data on September 27, 2024 and sell it today you would earn a total of 4.00 from holding Dicker Data or generate 0.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Resource Base vs. Dicker Data
Performance |
Timeline |
Resource Base |
Dicker Data |
Resource Base and Dicker Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Resource Base and Dicker Data
The main advantage of trading using opposite Resource Base and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Resource Base 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.Resource Base vs. Northern Star Resources | Resource Base vs. Evolution Mining | Resource Base vs. Aneka Tambang Tbk | Resource Base vs. Sandfire Resources NL |
Dicker Data vs. Mayfield Childcare | Dicker Data vs. Argo Investments | Dicker Data vs. Tombador Iron | Dicker Data vs. Sandon Capital Investments |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Complementary Tools
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Bonds Directory Find actively traded corporate debentures issued by US companies |