Correlation Between Chung Hwa and Fortune Information
Can any of the company-specific risk be diversified away by investing in both Chung Hwa and Fortune Information 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 Chung Hwa and Fortune Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chung Hwa Food and Fortune Information Systems, you can compare the effects of market volatilities on Chung Hwa and Fortune Information 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 Chung Hwa with a short position of Fortune Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Hwa and Fortune Information.
Diversification Opportunities for Chung Hwa and Fortune Information
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Chung and Fortune is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Chung Hwa Food and Fortune Information Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fortune Information and Chung Hwa 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 Chung Hwa Food are associated (or correlated) with Fortune Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fortune Information has no effect on the direction of Chung Hwa i.e., Chung Hwa and Fortune Information go up and down completely randomly.
Pair Corralation between Chung Hwa and Fortune Information
Assuming the 90 days trading horizon Chung Hwa is expected to generate 16.26 times less return on investment than Fortune Information. But when comparing it to its historical volatility, Chung Hwa Food is 7.76 times less risky than Fortune Information. It trades about 0.17 of its potential returns per unit of risk. Fortune Information Systems is currently generating about 0.35 of returns per unit of risk over similar time horizon. If you would invest 2,615 in Fortune Information Systems on December 4, 2024 and sell it today you would earn a total of 1,170 from holding Fortune Information Systems or generate 44.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chung Hwa Food vs. Fortune Information Systems
Performance |
Timeline |
Chung Hwa Food |
Fortune Information |
Chung Hwa and Fortune Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Hwa and Fortune Information
The main advantage of trading using opposite Chung Hwa and Fortune Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Hwa position performs unexpectedly, Fortune Information 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 Fortune Information will offset losses from the drop in Fortune Information's long position.Chung Hwa vs. Taishin Financial Holding | Chung Hwa vs. Bank of Kaohsiung | Chung Hwa vs. Sports Gear Co | Chung Hwa vs. Shin Kong Financial |
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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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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