Correlation Between Jiangsu Financial and Guangzhou Dongfang
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By analyzing existing cross correlation between Jiangsu Financial Leasing and Guangzhou Dongfang Hotel, you can compare the effects of market volatilities on Jiangsu Financial and Guangzhou Dongfang 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 Jiangsu Financial with a short position of Guangzhou Dongfang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiangsu Financial and Guangzhou Dongfang.
Diversification Opportunities for Jiangsu Financial and Guangzhou Dongfang
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jiangsu and Guangzhou is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Jiangsu Financial Leasing and Guangzhou Dongfang Hotel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guangzhou Dongfang Hotel and Jiangsu Financial 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 Jiangsu Financial Leasing are associated (or correlated) with Guangzhou Dongfang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guangzhou Dongfang Hotel has no effect on the direction of Jiangsu Financial i.e., Jiangsu Financial and Guangzhou Dongfang go up and down completely randomly.
Pair Corralation between Jiangsu Financial and Guangzhou Dongfang
Assuming the 90 days trading horizon Jiangsu Financial is expected to generate 1.1 times less return on investment than Guangzhou Dongfang. But when comparing it to its historical volatility, Jiangsu Financial Leasing is 1.04 times less risky than Guangzhou Dongfang. It trades about 0.15 of its potential returns per unit of risk. Guangzhou Dongfang Hotel is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 831.00 in Guangzhou Dongfang Hotel on September 12, 2024 and sell it today you would earn a total of 199.00 from holding Guangzhou Dongfang Hotel or generate 23.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jiangsu Financial Leasing vs. Guangzhou Dongfang Hotel
Performance |
Timeline |
Jiangsu Financial Leasing |
Guangzhou Dongfang Hotel |
Jiangsu Financial and Guangzhou Dongfang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiangsu Financial and Guangzhou Dongfang
The main advantage of trading using opposite Jiangsu Financial and Guangzhou Dongfang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiangsu Financial position performs unexpectedly, Guangzhou Dongfang 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 Guangzhou Dongfang will offset losses from the drop in Guangzhou Dongfang's long position.Jiangsu Financial vs. China Petroleum Chemical | Jiangsu Financial vs. PetroChina Co Ltd | Jiangsu Financial vs. China Mobile Limited | Jiangsu Financial vs. Industrial and Commercial |
Guangzhou Dongfang vs. Lutian Machinery Co | Guangzhou Dongfang vs. PetroChina Co Ltd | Guangzhou Dongfang vs. Bank of China | Guangzhou Dongfang vs. Gansu Jiu Steel |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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