Correlation Between ISoftStone Information and Keli Sensing
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By analyzing existing cross correlation between iSoftStone Information Technology and Keli Sensing Technology, you can compare the effects of market volatilities on ISoftStone Information and Keli Sensing 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 ISoftStone Information with a short position of Keli Sensing. Check out your portfolio center. Please also check ongoing floating volatility patterns of ISoftStone Information and Keli Sensing.
Diversification Opportunities for ISoftStone Information and Keli Sensing
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between ISoftStone and Keli is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding iSoftStone Information Technol and Keli Sensing Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Keli Sensing Technology and ISoftStone Information 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 iSoftStone Information Technology are associated (or correlated) with Keli Sensing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Keli Sensing Technology has no effect on the direction of ISoftStone Information i.e., ISoftStone Information and Keli Sensing go up and down completely randomly.
Pair Corralation between ISoftStone Information and Keli Sensing
Assuming the 90 days trading horizon iSoftStone Information Technology is expected to under-perform the Keli Sensing. But the stock apears to be less risky and, when comparing its historical volatility, iSoftStone Information Technology is 1.7 times less risky than Keli Sensing. The stock trades about -0.15 of its potential returns per unit of risk. The Keli Sensing Technology is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 4,027 in Keli Sensing Technology on October 6, 2024 and sell it today you would earn a total of 2,735 from holding Keli Sensing Technology or generate 67.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
iSoftStone Information Technol vs. Keli Sensing Technology
Performance |
Timeline |
iSoftStone Information |
Keli Sensing Technology |
ISoftStone Information and Keli Sensing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ISoftStone Information and Keli Sensing
The main advantage of trading using opposite ISoftStone Information and Keli Sensing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ISoftStone Information position performs unexpectedly, Keli Sensing 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 Keli Sensing will offset losses from the drop in Keli Sensing's long position.ISoftStone Information vs. PetroChina Co Ltd | ISoftStone Information vs. China Mobile Limited | ISoftStone Information vs. CNOOC Limited | ISoftStone Information vs. Ping An Insurance |
Keli Sensing vs. North Chemical Industries | Keli Sensing vs. Tongxing Environmental Protection | Keli Sensing vs. Qiaoyin Environmental Tech | Keli Sensing vs. GreenTech Environmental Co |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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