Correlation Between Tainan Enterprises and Hunya Foods
Can any of the company-specific risk be diversified away by investing in both Tainan Enterprises and Hunya 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 Tainan Enterprises and Hunya Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tainan Enterprises Co and Hunya Foods Co, you can compare the effects of market volatilities on Tainan Enterprises and Hunya 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 Tainan Enterprises with a short position of Hunya Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tainan Enterprises and Hunya Foods.
Diversification Opportunities for Tainan Enterprises and Hunya Foods
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Tainan and Hunya is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Tainan Enterprises Co and Hunya Foods Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hunya Foods and Tainan Enterprises 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 Tainan Enterprises Co are associated (or correlated) with Hunya Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hunya Foods has no effect on the direction of Tainan Enterprises i.e., Tainan Enterprises and Hunya Foods go up and down completely randomly.
Pair Corralation between Tainan Enterprises and Hunya Foods
Assuming the 90 days trading horizon Tainan Enterprises Co is expected to under-perform the Hunya Foods. In addition to that, Tainan Enterprises is 1.48 times more volatile than Hunya Foods Co. It trades about -0.16 of its total potential returns per unit of risk. Hunya Foods Co is currently generating about 0.0 per unit of volatility. If you would invest 2,320 in Hunya Foods Co on September 1, 2024 and sell it today you would earn a total of 0.00 from holding Hunya Foods Co or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Tainan Enterprises Co vs. Hunya Foods Co
Performance |
| Timeline |
| Tainan Enterprises |
| Hunya Foods |
Tainan Enterprises and Hunya Foods Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Tainan Enterprises and Hunya Foods
The main advantage of trading using opposite Tainan Enterprises and Hunya Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tainan Enterprises position performs unexpectedly, Hunya 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 Hunya Foods will offset losses from the drop in Hunya Foods' long position.| Tainan Enterprises vs. Chaintech Technology Corp | Tainan Enterprises vs. AVerMedia Technologies | Tainan Enterprises vs. Avision | Tainan Enterprises vs. Clevo Co |
| Hunya Foods vs. De Licacy Industrial | Hunya Foods vs. Wisher Industrial Co | Hunya Foods vs. Tainan Enterprises Co |
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 Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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