Correlation Between Chung Hsin and Nan Ya
Can any of the company-specific risk be diversified away by investing in both Chung Hsin 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 Chung Hsin and Nan Ya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chung Hsin Electric Machinery and Nan Ya Printed, you can compare the effects of market volatilities on Chung Hsin 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 Chung Hsin with a short position of Nan Ya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Hsin and Nan Ya.
Diversification Opportunities for Chung Hsin and Nan Ya
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Chung and Nan is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Chung Hsin Electric Machinery 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 Chung Hsin 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 Chung Hsin Electric Machinery 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 Chung Hsin i.e., Chung Hsin and Nan Ya go up and down completely randomly.
Pair Corralation between Chung Hsin and Nan Ya
Assuming the 90 days trading horizon Chung Hsin Electric Machinery is expected to under-perform the Nan Ya. But the stock apears to be less risky and, when comparing its historical volatility, Chung Hsin Electric Machinery is 1.73 times less risky than Nan Ya. The stock trades about -0.05 of its potential returns per unit of risk. The Nan Ya Printed is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 11,700 in Nan Ya Printed on December 4, 2024 and sell it today you would earn a total of 1,300 from holding Nan Ya Printed or generate 11.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chung Hsin Electric Machinery vs. Nan Ya Printed
Performance |
Timeline |
Chung Hsin Electric |
Nan Ya Printed |
Chung Hsin and Nan Ya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Hsin and Nan Ya
The main advantage of trading using opposite Chung Hsin and Nan Ya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Hsin 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.Chung Hsin vs. TECO Electric Machinery | Chung Hsin vs. Fortune Electric Co | Chung Hsin vs. Taiwan Cement Corp | Chung Hsin vs. Walsin Lihwa Corp |
Nan Ya vs. Unimicron Technology Corp | Nan Ya vs. Kinsus Interconnect Technology | Nan Ya vs. Novatek Microelectronics Corp | Nan Ya vs. Delta Electronics |
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 Global Correlations module to find global opportunities by holding instruments from different markets.
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