Correlation Between Nan Ya and WINSON Machinery
Can any of the company-specific risk be diversified away by investing in both Nan Ya and WINSON Machinery 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 WINSON Machinery 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 WINSON Machinery Co, you can compare the effects of market volatilities on Nan Ya and WINSON Machinery 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 WINSON Machinery. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nan Ya and WINSON Machinery.
Diversification Opportunities for Nan Ya and WINSON Machinery
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Nan and WINSON is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Nan Ya Plastics and WINSON Machinery Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WINSON Machinery 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 WINSON Machinery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WINSON Machinery has no effect on the direction of Nan Ya i.e., Nan Ya and WINSON Machinery go up and down completely randomly.
Pair Corralation between Nan Ya and WINSON Machinery
Assuming the 90 days trading horizon Nan Ya Plastics is expected to under-perform the WINSON Machinery. But the stock apears to be less risky and, when comparing its historical volatility, Nan Ya Plastics is 8.29 times less risky than WINSON Machinery. The stock trades about -0.14 of its potential returns per unit of risk. The WINSON Machinery Co is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,886 in WINSON Machinery Co on October 5, 2024 and sell it today you would earn a total of 49.00 from holding WINSON Machinery Co or generate 2.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.78% |
Values | Daily Returns |
Nan Ya Plastics vs. WINSON Machinery Co
Performance |
Timeline |
Nan Ya Plastics |
WINSON Machinery |
Nan Ya and WINSON Machinery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nan Ya and WINSON Machinery
The main advantage of trading using opposite Nan Ya and WINSON Machinery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nan Ya position performs unexpectedly, WINSON Machinery 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 WINSON Machinery will offset losses from the drop in WINSON Machinery's long position.Nan Ya vs. Tainan Spinning Co | Nan Ya vs. Lealea Enterprise Co | Nan Ya vs. China Petrochemical Development | Nan Ya vs. Taiwan Styrene Monomer |
WINSON Machinery vs. Tainan Spinning Co | WINSON Machinery vs. Lealea Enterprise Co | WINSON Machinery vs. China Petrochemical Development | WINSON Machinery vs. Taiwan Styrene Monomer |
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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