Correlation Between Carnegie Clean and Nufarm Finance
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and Nufarm Finance 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 Carnegie Clean and Nufarm Finance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carnegie Clean Energy and Nufarm Finance NZ, you can compare the effects of market volatilities on Carnegie Clean and Nufarm Finance 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 Carnegie Clean with a short position of Nufarm Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and Nufarm Finance.
Diversification Opportunities for Carnegie Clean and Nufarm Finance
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Carnegie and Nufarm is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and Nufarm Finance NZ in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nufarm Finance NZ and Carnegie Clean 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 Carnegie Clean Energy are associated (or correlated) with Nufarm Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nufarm Finance NZ has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and Nufarm Finance go up and down completely randomly.
Pair Corralation between Carnegie Clean and Nufarm Finance
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to under-perform the Nufarm Finance. In addition to that, Carnegie Clean is 3.44 times more volatile than Nufarm Finance NZ. It trades about -0.04 of its total potential returns per unit of risk. Nufarm Finance NZ is currently generating about 0.08 per unit of volatility. If you would invest 8,915 in Nufarm Finance NZ on October 6, 2024 and sell it today you would earn a total of 365.00 from holding Nufarm Finance NZ or generate 4.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. Nufarm Finance NZ
Performance |
Timeline |
Carnegie Clean Energy |
Nufarm Finance NZ |
Carnegie Clean and Nufarm Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and Nufarm Finance
The main advantage of trading using opposite Carnegie Clean and Nufarm Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, Nufarm Finance 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 Nufarm Finance will offset losses from the drop in Nufarm Finance's long position.Carnegie Clean vs. Aneka Tambang Tbk | Carnegie Clean vs. National Australia Bank | Carnegie Clean vs. Commonwealth Bank of | Carnegie Clean vs. Commonwealth Bank of |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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