Correlation Between Zhangjiagang Freetrade and Jiangsu Financial
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By analyzing existing cross correlation between Zhangjiagang Freetrade Science and Jiangsu Financial Leasing, you can compare the effects of market volatilities on Zhangjiagang Freetrade and Jiangsu Financial 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 Zhangjiagang Freetrade with a short position of Jiangsu Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhangjiagang Freetrade and Jiangsu Financial.
Diversification Opportunities for Zhangjiagang Freetrade and Jiangsu Financial
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Zhangjiagang and Jiangsu is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Zhangjiagang Freetrade Science and Jiangsu Financial Leasing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangsu Financial Leasing and Zhangjiagang Freetrade 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 Zhangjiagang Freetrade Science are associated (or correlated) with Jiangsu Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangsu Financial Leasing has no effect on the direction of Zhangjiagang Freetrade i.e., Zhangjiagang Freetrade and Jiangsu Financial go up and down completely randomly.
Pair Corralation between Zhangjiagang Freetrade and Jiangsu Financial
Assuming the 90 days trading horizon Zhangjiagang Freetrade Science is expected to under-perform the Jiangsu Financial. In addition to that, Zhangjiagang Freetrade is 1.2 times more volatile than Jiangsu Financial Leasing. It trades about -0.06 of its total potential returns per unit of risk. Jiangsu Financial Leasing is currently generating about -0.01 per unit of volatility. If you would invest 530.00 in Jiangsu Financial Leasing on December 28, 2024 and sell it today you would lose (5.00) from holding Jiangsu Financial Leasing or give up 0.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Zhangjiagang Freetrade Science vs. Jiangsu Financial Leasing
Performance |
Timeline |
Zhangjiagang Freetrade |
Jiangsu Financial Leasing |
Zhangjiagang Freetrade and Jiangsu Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhangjiagang Freetrade and Jiangsu Financial
The main advantage of trading using opposite Zhangjiagang Freetrade and Jiangsu Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhangjiagang Freetrade position performs unexpectedly, Jiangsu Financial 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 Jiangsu Financial will offset losses from the drop in Jiangsu Financial's long position.Zhangjiagang Freetrade vs. Shandong Publishing Media | Zhangjiagang Freetrade vs. Ningbo Jintian Copper | Zhangjiagang Freetrade vs. Xinhua Winshare Publishing | Zhangjiagang Freetrade vs. Zijin Mining Group |
Jiangsu Financial vs. Northking Information Technology | Jiangsu Financial vs. HanS Laser Tech | Jiangsu Financial vs. Keli Sensing Technology | Jiangsu Financial vs. Fujian Longzhou Transportation |
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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