Correlation Between Quintain Steel and Chung Hwa
Can any of the company-specific risk be diversified away by investing in both Quintain Steel 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 Quintain Steel and Chung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Quintain Steel Co and Chung Hwa Pulp, you can compare the effects of market volatilities on Quintain Steel 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 Quintain Steel with a short position of Chung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Quintain Steel and Chung Hwa.
Diversification Opportunities for Quintain Steel and Chung Hwa
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Quintain and Chung is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Quintain Steel Co and Chung Hwa Pulp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hwa Pulp and Quintain Steel 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 Quintain Steel Co 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 Pulp has no effect on the direction of Quintain Steel i.e., Quintain Steel and Chung Hwa go up and down completely randomly.
Pair Corralation between Quintain Steel and Chung Hwa
Assuming the 90 days trading horizon Quintain Steel Co is expected to generate 0.88 times more return on investment than Chung Hwa. However, Quintain Steel Co is 1.14 times less risky than Chung Hwa. It trades about -0.13 of its potential returns per unit of risk. Chung Hwa Pulp is currently generating about -0.29 per unit of risk. If you would invest 1,190 in Quintain Steel Co on September 26, 2024 and sell it today you would lose (45.00) from holding Quintain Steel Co or give up 3.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 95.65% |
Values | Daily Returns |
Quintain Steel Co vs. Chung Hwa Pulp
Performance |
Timeline |
Quintain Steel |
Chung Hwa Pulp |
Quintain Steel and Chung Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Quintain Steel and Chung Hwa
The main advantage of trading using opposite Quintain Steel and Chung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quintain Steel 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.Quintain Steel vs. Formosa Plastics Corp | Quintain Steel vs. Formosa Chemicals Fibre | Quintain Steel vs. China Steel Corp | Quintain Steel vs. Formosa Petrochemical Corp |
Chung Hwa vs. Formosa Plastics Corp | Chung Hwa vs. Formosa Chemicals Fibre | Chung Hwa vs. China Steel Corp | Chung Hwa vs. Formosa Petrochemical Corp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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