Correlation Between DY6 Metals and Dicker Data
Can any of the company-specific risk be diversified away by investing in both DY6 Metals 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 DY6 Metals and Dicker Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DY6 Metals and Dicker Data, you can compare the effects of market volatilities on DY6 Metals 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 DY6 Metals with a short position of Dicker Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of DY6 Metals and Dicker Data.
Diversification Opportunities for DY6 Metals and Dicker Data
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between DY6 and Dicker is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding DY6 Metals and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and DY6 Metals 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 DY6 Metals 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 DY6 Metals i.e., DY6 Metals and Dicker Data go up and down completely randomly.
Pair Corralation between DY6 Metals and Dicker Data
Assuming the 90 days trading horizon DY6 Metals is expected to under-perform the Dicker Data. In addition to that, DY6 Metals is 3.04 times more volatile than Dicker Data. It trades about -0.26 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 857.00 in Dicker Data on August 30, 2024 and sell it today you would earn a total of 3.00 from holding Dicker Data or generate 0.35% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
DY6 Metals vs. Dicker Data
Performance |
| Timeline |
| DY6 Metals |
| Dicker Data |
DY6 Metals and Dicker Data Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DY6 Metals and Dicker Data
The main advantage of trading using opposite DY6 Metals and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DY6 Metals 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.| DY6 Metals vs. Northern Star Resources | DY6 Metals vs. Evolution Mining | DY6 Metals vs. Bluescope Steel | DY6 Metals vs. Sandfire Resources NL |
| Dicker Data vs. PVW Resources | Dicker Data vs. Woolworths | Dicker Data vs. Wesfarmers | Dicker Data vs. Coles Group |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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