Correlation Between ISoftStone Information and KSEC Intelligent
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By analyzing existing cross correlation between iSoftStone Information Technology and KSEC Intelligent Technology, you can compare the effects of market volatilities on ISoftStone Information and KSEC Intelligent 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 KSEC Intelligent. Check out your portfolio center. Please also check ongoing floating volatility patterns of ISoftStone Information and KSEC Intelligent.
Diversification Opportunities for ISoftStone Information and KSEC Intelligent
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ISoftStone and KSEC is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding iSoftStone Information Technol and KSEC Intelligent Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KSEC Intelligent Tec 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 KSEC Intelligent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KSEC Intelligent Tec has no effect on the direction of ISoftStone Information i.e., ISoftStone Information and KSEC Intelligent go up and down completely randomly.
Pair Corralation between ISoftStone Information and KSEC Intelligent
Assuming the 90 days trading horizon iSoftStone Information Technology is expected to generate 1.3 times more return on investment than KSEC Intelligent. However, ISoftStone Information is 1.3 times more volatile than KSEC Intelligent Technology. It trades about -0.15 of its potential returns per unit of risk. KSEC Intelligent Technology is currently generating about -0.23 per unit of risk. If you would invest 6,559 in iSoftStone Information Technology on October 6, 2024 and sell it today you would lose (1,355) from holding iSoftStone Information Technology or give up 20.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iSoftStone Information Technol vs. KSEC Intelligent Technology
Performance |
Timeline |
iSoftStone Information |
KSEC Intelligent Tec |
ISoftStone Information and KSEC Intelligent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ISoftStone Information and KSEC Intelligent
The main advantage of trading using opposite ISoftStone Information and KSEC Intelligent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ISoftStone Information position performs unexpectedly, KSEC Intelligent 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 KSEC Intelligent will offset losses from the drop in KSEC Intelligent'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 |
KSEC Intelligent vs. PetroChina Co Ltd | KSEC Intelligent vs. China Mobile Limited | KSEC Intelligent vs. CNOOC Limited | KSEC Intelligent vs. Ping An Insurance |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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