Correlation Between Nan Ya and United Renewable
Can any of the company-specific risk be diversified away by investing in both Nan Ya and United Renewable 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 Nan Ya and United Renewable into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nan Ya Plastics and United Renewable Energy, you can compare the effects of market volatilities on Nan Ya and United Renewable 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 Nan Ya with a short position of United Renewable. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nan Ya and United Renewable.
Diversification Opportunities for Nan Ya and United Renewable
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Nan and United is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Nan Ya Plastics and United Renewable Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Renewable Energy and Nan Ya 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 Nan Ya Plastics are associated (or correlated) with United Renewable. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Renewable Energy has no effect on the direction of Nan Ya i.e., Nan Ya and United Renewable go up and down completely randomly.
Pair Corralation between Nan Ya and United Renewable
Assuming the 90 days trading horizon Nan Ya Plastics is expected to generate 1.21 times more return on investment than United Renewable. However, Nan Ya is 1.21 times more volatile than United Renewable Energy. It trades about 0.03 of its potential returns per unit of risk. United Renewable Energy is currently generating about -0.02 per unit of risk. If you would invest 3,010 in Nan Ya Plastics on December 29, 2024 and sell it today you would earn a total of 90.00 from holding Nan Ya Plastics or generate 2.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nan Ya Plastics vs. United Renewable Energy
Performance |
Timeline |
Nan Ya Plastics |
United Renewable Energy |
Nan Ya and United Renewable Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nan Ya and United Renewable
The main advantage of trading using opposite Nan Ya and United Renewable positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nan Ya position performs unexpectedly, United Renewable 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 United Renewable will offset losses from the drop in United Renewable's long position.Nan Ya vs. Formosa Plastics Corp | Nan Ya vs. Formosa Chemicals Fibre | Nan Ya vs. China Steel Corp | Nan Ya vs. Formosa Petrochemical Corp |
United Renewable vs. Motech Industries Co | United Renewable vs. Innolux Corp | United Renewable vs. Gigastorage Corp | United Renewable vs. Darwin Precisions 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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