Correlation Between Tingyi Holding and Standard Foods
Can any of the company-specific risk be diversified away by investing in both Tingyi Holding and Standard Foods 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 Standard Foods 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 Standard Foods Corp, you can compare the effects of market volatilities on Tingyi Holding and Standard Foods 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 Standard Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tingyi Holding and Standard Foods.
Diversification Opportunities for Tingyi Holding and Standard Foods
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Tingyi and Standard is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Tingyi Holding Corp and Standard Foods Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Standard Foods Corp 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 Standard Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Standard Foods Corp has no effect on the direction of Tingyi Holding i.e., Tingyi Holding and Standard Foods go up and down completely randomly.
Pair Corralation between Tingyi Holding and Standard Foods
Assuming the 90 days trading horizon Tingyi Holding Corp is expected to generate 1.89 times more return on investment than Standard Foods. However, Tingyi Holding is 1.89 times more volatile than Standard Foods Corp. It trades about 0.03 of its potential returns per unit of risk. Standard Foods Corp is currently generating about -0.04 per unit of risk. If you would invest 2,055 in Tingyi Holding Corp on September 13, 2024 and sell it today you would earn a total of 105.00 from holding Tingyi Holding Corp or generate 5.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.32% |
Values | Daily Returns |
Tingyi Holding Corp vs. Standard Foods Corp
Performance |
Timeline |
Tingyi Holding Corp |
Standard Foods Corp |
Tingyi Holding and Standard Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tingyi Holding and Standard Foods
The main advantage of trading using opposite Tingyi Holding and Standard Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tingyi Holding position performs unexpectedly, Standard Foods 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 Standard Foods will offset losses from the drop in Standard Foods' long position.Tingyi Holding vs. Uni President Enterprises Corp | Tingyi Holding vs. Lien Hwa Industrial | Tingyi Holding vs. Great Wall Enterprise | Tingyi Holding vs. Standard Foods 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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