Correlation Between JinkoSolar Holding and Zhaojin Mining
Can any of the company-specific risk be diversified away by investing in both JinkoSolar Holding and Zhaojin Mining 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 JinkoSolar Holding and Zhaojin Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JinkoSolar Holding and Zhaojin Mining Industry, you can compare the effects of market volatilities on JinkoSolar Holding and Zhaojin Mining 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 JinkoSolar Holding with a short position of Zhaojin Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of JinkoSolar Holding and Zhaojin Mining.
Diversification Opportunities for JinkoSolar Holding and Zhaojin Mining
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between JinkoSolar and Zhaojin is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding JinkoSolar Holding and Zhaojin Mining Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zhaojin Mining Industry and JinkoSolar Holding 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 JinkoSolar Holding are associated (or correlated) with Zhaojin Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zhaojin Mining Industry has no effect on the direction of JinkoSolar Holding i.e., JinkoSolar Holding and Zhaojin Mining go up and down completely randomly.
Pair Corralation between JinkoSolar Holding and Zhaojin Mining
Considering the 90-day investment horizon JinkoSolar Holding is expected to generate 1.61 times more return on investment than Zhaojin Mining. However, JinkoSolar Holding is 1.61 times more volatile than Zhaojin Mining Industry. It trades about 0.02 of its potential returns per unit of risk. Zhaojin Mining Industry is currently generating about -0.02 per unit of risk. If you would invest 2,134 in JinkoSolar Holding on October 22, 2024 and sell it today you would lose (10.00) from holding JinkoSolar Holding or give up 0.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
JinkoSolar Holding vs. Zhaojin Mining Industry
Performance |
Timeline |
JinkoSolar Holding |
Zhaojin Mining Industry |
JinkoSolar Holding and Zhaojin Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JinkoSolar Holding and Zhaojin Mining
The main advantage of trading using opposite JinkoSolar Holding and Zhaojin Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JinkoSolar Holding position performs unexpectedly, Zhaojin Mining 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 Zhaojin Mining will offset losses from the drop in Zhaojin Mining's long position.JinkoSolar Holding vs. First Solar | JinkoSolar Holding vs. SolarEdge Technologies | JinkoSolar Holding vs. Sunrun Inc | JinkoSolar Holding vs. Sunnova Energy International |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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