Correlation Between Information Technology and Chung Hwa
Can any of the company-specific risk be diversified away by investing in both Information Technology and Chung Hwa at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Information Technology and Chung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Information Technology Total and Chung Hwa Chemical, you can compare the effects of market volatilities on Information Technology and Chung Hwa 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 Information Technology with a short position of Chung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Information Technology and Chung Hwa.
Diversification Opportunities for Information Technology and Chung Hwa
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Information and Chung is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Information Technology Total and Chung Hwa Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hwa Chemical and Information Technology 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 Information Technology Total are associated (or correlated) with Chung Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hwa Chemical has no effect on the direction of Information Technology i.e., Information Technology and Chung Hwa go up and down completely randomly.
Pair Corralation between Information Technology and Chung Hwa
Assuming the 90 days trading horizon Information Technology is expected to generate 1.55 times less return on investment than Chung Hwa. But when comparing it to its historical volatility, Information Technology Total is 1.47 times less risky than Chung Hwa. It trades about 0.03 of its potential returns per unit of risk. Chung Hwa Chemical is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 3,290 in Chung Hwa Chemical on September 4, 2024 and sell it today you would earn a total of 125.00 from holding Chung Hwa Chemical or generate 3.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Information Technology Total vs. Chung Hwa Chemical
Performance |
Timeline |
Information Technology |
Chung Hwa Chemical |
Information Technology and Chung Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Information Technology and Chung Hwa
The main advantage of trading using opposite Information Technology and Chung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Information Technology position performs unexpectedly, Chung Hwa 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 Chung Hwa will offset losses from the drop in Chung Hwa's long position.Information Technology vs. Digital China Holdings | Information Technology vs. Acer E Enabling Service | Information Technology vs. Sysage Technology Co | Information Technology vs. Green World Fintech |
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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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