Correlation Between Hubei Tech and Jiangsu Financial
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By analyzing existing cross correlation between Hubei Tech Semiconductors and Jiangsu Financial Leasing, you can compare the effects of market volatilities on Hubei Tech 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 Hubei Tech with a short position of Jiangsu Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hubei Tech and Jiangsu Financial.
Diversification Opportunities for Hubei Tech and Jiangsu Financial
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Hubei and Jiangsu is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Hubei Tech Semiconductors 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 Hubei Tech 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 Hubei Tech Semiconductors 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 Hubei Tech i.e., Hubei Tech and Jiangsu Financial go up and down completely randomly.
Pair Corralation between Hubei Tech and Jiangsu Financial
Assuming the 90 days trading horizon Hubei Tech Semiconductors is expected to under-perform the Jiangsu Financial. In addition to that, Hubei Tech is 2.99 times more volatile than Jiangsu Financial Leasing. It trades about -0.15 of its total potential returns per unit of risk. Jiangsu Financial Leasing is currently generating about -0.05 per unit of volatility. If you would invest 551.00 in Jiangsu Financial Leasing on November 7, 2024 and sell it today you would lose (23.00) from holding Jiangsu Financial Leasing or give up 4.17% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hubei Tech Semiconductors vs. Jiangsu Financial Leasing
Performance |
| Timeline |
| Hubei Tech Semiconductors |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Jiangsu Financial Leasing |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Hubei Tech and Jiangsu Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hubei Tech and Jiangsu Financial
The main advantage of trading using opposite Hubei Tech and Jiangsu Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hubei Tech 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.The idea behind Hubei Tech Semiconductors and Jiangsu Financial Leasing pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Stocks Directory module to find actively traded stocks across global markets.
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