Correlation Between Nufarm Finance and Dicker Data
Can any of the company-specific risk be diversified away by investing in both Nufarm Finance 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 Nufarm Finance and Dicker Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nufarm Finance NZ and Dicker Data, you can compare the effects of market volatilities on Nufarm Finance 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 Nufarm Finance with a short position of Dicker Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nufarm Finance and Dicker Data.
Diversification Opportunities for Nufarm Finance and Dicker Data
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Nufarm and Dicker is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Nufarm Finance NZ and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Nufarm Finance 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 Nufarm Finance NZ 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 Nufarm Finance i.e., Nufarm Finance and Dicker Data go up and down completely randomly.
Pair Corralation between Nufarm Finance and Dicker Data
Assuming the 90 days trading horizon Nufarm Finance NZ is expected to generate 0.41 times more return on investment than Dicker Data. However, Nufarm Finance NZ is 2.43 times less risky than Dicker Data. It trades about 0.06 of its potential returns per unit of risk. Dicker Data is currently generating about -0.04 per unit of risk. If you would invest 8,255 in Nufarm Finance NZ on September 23, 2024 and sell it today you would earn a total of 1,080 from holding Nufarm Finance NZ or generate 13.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nufarm Finance NZ vs. Dicker Data
Performance |
Timeline |
Nufarm Finance NZ |
Dicker Data |
Nufarm Finance and Dicker Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nufarm Finance and Dicker Data
The main advantage of trading using opposite Nufarm Finance and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nufarm Finance 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.Nufarm Finance vs. Westpac Banking | Nufarm Finance vs. Ecofibre | Nufarm Finance vs. iShares Global Healthcare | Nufarm Finance vs. Australian Dairy Farms |
Dicker Data vs. Nufarm Finance NZ | Dicker Data vs. Seven West Media | Dicker Data vs. Infomedia | Dicker Data vs. Hotel Property 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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