Correlation Between Nan Ya and Nan Ya
Can any of the company-specific risk be diversified away by investing in both Nan Ya and Nan Ya 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 Nan Ya 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 Nan Ya Printed, you can compare the effects of market volatilities on Nan Ya and Nan Ya 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 Nan Ya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nan Ya and Nan Ya.
Diversification Opportunities for Nan Ya and Nan Ya
Very poor diversification
The 3 months correlation between Nan and Nan is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Nan Ya Plastics and Nan Ya Printed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nan Ya Printed 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 Nan Ya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nan Ya Printed has no effect on the direction of Nan Ya i.e., Nan Ya and Nan Ya go up and down completely randomly.
Pair Corralation between Nan Ya and Nan Ya
Assuming the 90 days trading horizon Nan Ya Plastics is expected to generate 0.7 times more return on investment than Nan Ya. However, Nan Ya Plastics is 1.43 times less risky than Nan Ya. It trades about -0.12 of its potential returns per unit of risk. Nan Ya Printed is currently generating about -0.12 per unit of risk. If you would invest 4,180 in Nan Ya Plastics on September 5, 2024 and sell it today you would lose (215.00) from holding Nan Ya Plastics or give up 5.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nan Ya Plastics vs. Nan Ya Printed
Performance |
Timeline |
Nan Ya Plastics |
Nan Ya Printed |
Nan Ya and Nan Ya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nan Ya and Nan Ya
The main advantage of trading using opposite Nan Ya and Nan Ya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nan Ya position performs unexpectedly, Nan Ya 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 Nan Ya will offset losses from the drop in Nan Ya's long position.The idea behind Nan Ya Plastics and Nan Ya Printed pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Nan Ya vs. Taiwan Semiconductor Manufacturing | Nan Ya vs. Yang Ming Marine | Nan Ya vs. AU Optronics | Nan Ya vs. Nan Ya Plastics |
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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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