Correlation Between Ping An and Jason Furniture
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By analyzing existing cross correlation between Ping An Insurance and Jason Furniture, you can compare the effects of market volatilities on Ping An and Jason Furniture 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 Ping An with a short position of Jason Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ping An and Jason Furniture.
Diversification Opportunities for Ping An and Jason Furniture
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Ping and Jason is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Ping An Insurance and Jason Furniture in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jason Furniture and Ping An 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 Ping An Insurance are associated (or correlated) with Jason Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jason Furniture has no effect on the direction of Ping An i.e., Ping An and Jason Furniture go up and down completely randomly.
Pair Corralation between Ping An and Jason Furniture
Assuming the 90 days trading horizon Ping An is expected to generate 1.4 times less return on investment than Jason Furniture. But when comparing it to its historical volatility, Ping An Insurance is 1.23 times less risky than Jason Furniture. It trades about 0.12 of its potential returns per unit of risk. Jason Furniture is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,260 in Jason Furniture on September 20, 2024 and sell it today you would earn a total of 645.00 from holding Jason Furniture or generate 28.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ping An Insurance vs. Jason Furniture
Performance |
Timeline |
Ping An Insurance |
Jason Furniture |
Ping An and Jason Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ping An and Jason Furniture
The main advantage of trading using opposite Ping An and Jason Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ping An position performs unexpectedly, Jason Furniture 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 Jason Furniture will offset losses from the drop in Jason Furniture's long position.Ping An vs. BYD Co Ltd | Ping An vs. China Mobile Limited | Ping An vs. Agricultural Bank of | Ping An vs. Industrial and Commercial |
Jason Furniture vs. Cangzhou Mingzhu Plastic | Jason Furniture vs. Heilongjiang Transport Development | Jason Furniture vs. Western Metal Materials | Jason Furniture vs. China Aluminum International |
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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