Correlation Between Chung Hsin and Jinan Acetate
Can any of the company-specific risk be diversified away by investing in both Chung Hsin and Jinan Acetate 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 Jinan Acetate 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 Jinan Acetate Chemical, you can compare the effects of market volatilities on Chung Hsin and Jinan Acetate 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 Jinan Acetate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Hsin and Jinan Acetate.
Diversification Opportunities for Chung Hsin and Jinan Acetate
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chung and Jinan is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Chung Hsin Electric Machinery and Jinan Acetate Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jinan Acetate Chemical 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 Jinan Acetate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jinan Acetate Chemical has no effect on the direction of Chung Hsin i.e., Chung Hsin and Jinan Acetate go up and down completely randomly.
Pair Corralation between Chung Hsin and Jinan Acetate
Assuming the 90 days trading horizon Chung Hsin Electric Machinery is expected to under-perform the Jinan Acetate. But the stock apears to be less risky and, when comparing its historical volatility, Chung Hsin Electric Machinery is 1.08 times less risky than Jinan Acetate. The stock trades about -0.02 of its potential returns per unit of risk. The Jinan Acetate Chemical is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 85,800 in Jinan Acetate Chemical on October 9, 2024 and sell it today you would earn a total of 2,700 from holding Jinan Acetate Chemical or generate 3.15% 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. Jinan Acetate Chemical
Performance |
Timeline |
Chung Hsin Electric |
Jinan Acetate Chemical |
Chung Hsin and Jinan Acetate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Hsin and Jinan Acetate
The main advantage of trading using opposite Chung Hsin and Jinan Acetate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Hsin position performs unexpectedly, Jinan Acetate 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 Jinan Acetate will offset losses from the drop in Jinan Acetate'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 |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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