Correlation Between Dimerco Data and Jinan Acetate
Can any of the company-specific risk be diversified away by investing in both Dimerco Data 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 Dimerco Data and Jinan Acetate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dimerco Data System and Jinan Acetate Chemical, you can compare the effects of market volatilities on Dimerco Data 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 Dimerco Data with a short position of Jinan Acetate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dimerco Data and Jinan Acetate.
Diversification Opportunities for Dimerco Data and Jinan Acetate
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dimerco and Jinan is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Dimerco Data System 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 Dimerco Data 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 Dimerco Data System 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 Dimerco Data i.e., Dimerco Data and Jinan Acetate go up and down completely randomly.
Pair Corralation between Dimerco Data and Jinan Acetate
Assuming the 90 days trading horizon Dimerco Data System is expected to under-perform the Jinan Acetate. But the stock apears to be less risky and, when comparing its historical volatility, Dimerco Data System is 1.31 times less risky than Jinan Acetate. The stock trades about -0.23 of its potential returns per unit of risk. The Jinan Acetate Chemical is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 84,200 in Jinan Acetate Chemical on August 30, 2024 and sell it today you would earn a total of 2,200 from holding Jinan Acetate Chemical or generate 2.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Dimerco Data System vs. Jinan Acetate Chemical
Performance |
Timeline |
Dimerco Data System |
Jinan Acetate Chemical |
Dimerco Data and Jinan Acetate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dimerco Data and Jinan Acetate
The main advantage of trading using opposite Dimerco Data and Jinan Acetate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dimerco Data 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.Dimerco Data vs. YuantaP shares Taiwan Electronics | Dimerco Data vs. YuantaP shares Taiwan Mid Cap | Dimerco Data vs. YuantaP shares Taiwan Top | Dimerco Data vs. Fubon MSCI Taiwan |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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