Correlation Between Tingyi Holding and Poya International
Can any of the company-specific risk be diversified away by investing in both Tingyi Holding and Poya International 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 Tingyi Holding and Poya International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tingyi Holding Corp and Poya International Co, you can compare the effects of market volatilities on Tingyi Holding and Poya International 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 Tingyi Holding with a short position of Poya International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tingyi Holding and Poya International.
Diversification Opportunities for Tingyi Holding and Poya International
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Tingyi and Poya is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Tingyi Holding Corp and Poya International Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Poya International and Tingyi Holding 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 Tingyi Holding Corp are associated (or correlated) with Poya International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Poya International has no effect on the direction of Tingyi Holding i.e., Tingyi Holding and Poya International go up and down completely randomly.
Pair Corralation between Tingyi Holding and Poya International
Assuming the 90 days trading horizon Tingyi Holding Corp is expected to under-perform the Poya International. In addition to that, Tingyi Holding is 1.33 times more volatile than Poya International Co. It trades about -0.16 of its total potential returns per unit of risk. Poya International Co is currently generating about -0.1 per unit of volatility. If you would invest 53,300 in Poya International Co on October 4, 2024 and sell it today you would lose (3,650) from holding Poya International Co or give up 6.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Tingyi Holding Corp vs. Poya International Co
Performance |
Timeline |
Tingyi Holding Corp |
Poya International |
Tingyi Holding and Poya International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tingyi Holding and Poya International
The main advantage of trading using opposite Tingyi Holding and Poya International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tingyi Holding position performs unexpectedly, Poya International 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 Poya International will offset losses from the drop in Poya International's long position.Tingyi Holding vs. Uni President Enterprises Corp | Tingyi Holding vs. President Chain Store | Tingyi Holding vs. Formosa Chemicals Fibre | Tingyi Holding vs. Formosa Petrochemical Corp |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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