Correlation Between JinkoSolar Holding and Dfa Commodity
Can any of the company-specific risk be diversified away by investing in both JinkoSolar Holding and Dfa Commodity 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 Dfa Commodity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JinkoSolar Holding and Dfa Commodity Strategy, you can compare the effects of market volatilities on JinkoSolar Holding and Dfa Commodity 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 Dfa Commodity. Check out your portfolio center. Please also check ongoing floating volatility patterns of JinkoSolar Holding and Dfa Commodity.
Diversification Opportunities for JinkoSolar Holding and Dfa Commodity
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between JinkoSolar and Dfa is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding JinkoSolar Holding and Dfa Commodity Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dfa Commodity Strategy 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 Dfa Commodity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dfa Commodity Strategy has no effect on the direction of JinkoSolar Holding i.e., JinkoSolar Holding and Dfa Commodity go up and down completely randomly.
Pair Corralation between JinkoSolar Holding and Dfa Commodity
Considering the 90-day investment horizon JinkoSolar Holding is expected to under-perform the Dfa Commodity. In addition to that, JinkoSolar Holding is 5.63 times more volatile than Dfa Commodity Strategy. It trades about -0.02 of its total potential returns per unit of risk. Dfa Commodity Strategy is currently generating about 0.01 per unit of volatility. If you would invest 459.00 in Dfa Commodity Strategy on October 20, 2024 and sell it today you would earn a total of 13.00 from holding Dfa Commodity Strategy or generate 2.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
JinkoSolar Holding vs. Dfa Commodity Strategy
Performance |
Timeline |
JinkoSolar Holding |
Dfa Commodity Strategy |
JinkoSolar Holding and Dfa Commodity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JinkoSolar Holding and Dfa Commodity
The main advantage of trading using opposite JinkoSolar Holding and Dfa Commodity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JinkoSolar Holding position performs unexpectedly, Dfa Commodity 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 Dfa Commodity will offset losses from the drop in Dfa Commodity's long position.JinkoSolar Holding vs. First Solar | JinkoSolar Holding vs. SolarEdge Technologies | JinkoSolar Holding vs. Sunrun Inc | JinkoSolar Holding vs. Sunnova Energy International |
Dfa Commodity vs. Virtus Seix Government | Dfa Commodity vs. Lord Abbett Intermediate | Dfa Commodity vs. American High Income Municipal | Dfa Commodity vs. John Hancock Government |
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.
Other Complementary Tools
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Stocks Directory Find actively traded stocks across global markets | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope |