Correlation Between Yulon Nissan and Chyang Sheng
Can any of the company-specific risk be diversified away by investing in both Yulon Nissan and Chyang Sheng 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 Yulon Nissan and Chyang Sheng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yulon Nissan Motor and Chyang Sheng Dyeing, you can compare the effects of market volatilities on Yulon Nissan and Chyang Sheng 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 Yulon Nissan with a short position of Chyang Sheng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yulon Nissan and Chyang Sheng.
Diversification Opportunities for Yulon Nissan and Chyang Sheng
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Yulon and Chyang is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Yulon Nissan Motor and Chyang Sheng Dyeing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chyang Sheng Dyeing and Yulon Nissan 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 Yulon Nissan Motor are associated (or correlated) with Chyang Sheng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chyang Sheng Dyeing has no effect on the direction of Yulon Nissan i.e., Yulon Nissan and Chyang Sheng go up and down completely randomly.
Pair Corralation between Yulon Nissan and Chyang Sheng
Assuming the 90 days trading horizon Yulon Nissan Motor is expected to under-perform the Chyang Sheng. In addition to that, Yulon Nissan is 1.43 times more volatile than Chyang Sheng Dyeing. It trades about -0.25 of its total potential returns per unit of risk. Chyang Sheng Dyeing is currently generating about 0.03 per unit of volatility. If you would invest 2,450 in Chyang Sheng Dyeing on September 16, 2024 and sell it today you would earn a total of 45.00 from holding Chyang Sheng Dyeing or generate 1.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yulon Nissan Motor vs. Chyang Sheng Dyeing
Performance |
Timeline |
Yulon Nissan Motor |
Chyang Sheng Dyeing |
Yulon Nissan and Chyang Sheng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yulon Nissan and Chyang Sheng
The main advantage of trading using opposite Yulon Nissan and Chyang Sheng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yulon Nissan position performs unexpectedly, Chyang Sheng 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 Chyang Sheng will offset losses from the drop in Chyang Sheng's long position.Yulon Nissan vs. Hotai Motor Co | Yulon Nissan vs. Yulon Motor Co | Yulon Nissan vs. Cheng Shin Rubber | Yulon Nissan vs. Formosa Chemicals Fibre |
Chyang Sheng vs. Feng Tay Enterprises | Chyang Sheng vs. Ruentex Development Co | Chyang Sheng vs. WiseChip Semiconductor | Chyang Sheng vs. Novatek Microelectronics 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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