Correlation Between Chung Hsin and Ta Ya
Can any of the company-specific risk be diversified away by investing in both Chung Hsin and Ta Ya 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 Hsin and Ta Ya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chung Hsin Electric Machinery and Ta Ya Electric, you can compare the effects of market volatilities on Chung Hsin and Ta Ya 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 Hsin with a short position of Ta Ya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Hsin and Ta Ya.
Diversification Opportunities for Chung Hsin and Ta Ya
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Chung and 1609 is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Chung Hsin Electric Machinery and Ta Ya Electric in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ta Ya Electric and Chung Hsin 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 Hsin Electric Machinery are associated (or correlated) with Ta Ya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ta Ya Electric has no effect on the direction of Chung Hsin i.e., Chung Hsin and Ta Ya go up and down completely randomly.
Pair Corralation between Chung Hsin and Ta Ya
Assuming the 90 days trading horizon Chung Hsin Electric Machinery is expected to generate 1.18 times more return on investment than Ta Ya. However, Chung Hsin is 1.18 times more volatile than Ta Ya Electric. It trades about -0.04 of its potential returns per unit of risk. Ta Ya Electric is currently generating about -0.1 per unit of risk. If you would invest 16,800 in Chung Hsin Electric Machinery on September 3, 2024 and sell it today you would lose (1,000.00) from holding Chung Hsin Electric Machinery or give up 5.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Chung Hsin Electric Machinery vs. Ta Ya Electric
Performance |
Timeline |
Chung Hsin Electric |
Ta Ya Electric |
Chung Hsin and Ta Ya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Hsin and Ta Ya
The main advantage of trading using opposite Chung Hsin and Ta Ya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Hsin position performs unexpectedly, Ta Ya 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 Ta Ya will offset losses from the drop in Ta Ya's long position.Chung Hsin vs. Universal Microelectronics Co | Chung Hsin vs. AVerMedia Technologies | Chung Hsin vs. Symtek Automation Asia | Chung Hsin vs. WiseChip Semiconductor |
Ta Ya vs. Walsin Lihwa Corp | Ta Ya vs. Hua Eng Wire | Ta Ya vs. Hong Tai Electric | Ta Ya vs. Chung Hsin Electric Machinery |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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