Correlation Between Nien Made and Tainan Spinning
Can any of the company-specific risk be diversified away by investing in both Nien Made and Tainan Spinning 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 Nien Made and Tainan Spinning into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nien Made Enterprise and Tainan Spinning Co, you can compare the effects of market volatilities on Nien Made and Tainan Spinning 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 Nien Made with a short position of Tainan Spinning. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nien Made and Tainan Spinning.
Diversification Opportunities for Nien Made and Tainan Spinning
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Nien and Tainan is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Nien Made Enterprise and Tainan Spinning Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tainan Spinning and Nien Made 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 Nien Made Enterprise are associated (or correlated) with Tainan Spinning. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tainan Spinning has no effect on the direction of Nien Made i.e., Nien Made and Tainan Spinning go up and down completely randomly.
Pair Corralation between Nien Made and Tainan Spinning
Assuming the 90 days trading horizon Nien Made Enterprise is expected to under-perform the Tainan Spinning. In addition to that, Nien Made is 2.47 times more volatile than Tainan Spinning Co. It trades about -0.13 of its total potential returns per unit of risk. Tainan Spinning Co is currently generating about -0.05 per unit of volatility. If you would invest 1,555 in Tainan Spinning Co on September 12, 2024 and sell it today you would lose (45.00) from holding Tainan Spinning Co or give up 2.89% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Nien Made Enterprise vs. Tainan Spinning Co
Performance |
| Timeline |
| Nien Made Enterprise |
| Tainan Spinning |
Nien Made and Tainan Spinning Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Nien Made and Tainan Spinning
The main advantage of trading using opposite Nien Made and Tainan Spinning positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nien Made position performs unexpectedly, Tainan Spinning 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 Tainan Spinning will offset losses from the drop in Tainan Spinning's long position.| Nien Made vs. Feng Tay Enterprises | Nien Made vs. Chailease Holding Co | Nien Made vs. Eclat Textile Co | Nien Made vs. Giant Manufacturing Co |
| Tainan Spinning vs. Lealea Enterprise Co | Tainan Spinning vs. China Petrochemical Development | Tainan Spinning vs. Li Peng Enterprise | Tainan Spinning vs. Oriental Union Chemical |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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