Correlation Between Haitai Confectionery and Busan Ind
Can any of the company-specific risk be diversified away by investing in both Haitai Confectionery and Busan Ind 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 Haitai Confectionery and Busan Ind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Haitai Confectionery Foods and Busan Ind, you can compare the effects of market volatilities on Haitai Confectionery and Busan Ind 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 Haitai Confectionery with a short position of Busan Ind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haitai Confectionery and Busan Ind.
Diversification Opportunities for Haitai Confectionery and Busan Ind
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Haitai and Busan is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Haitai Confectionery Foods and Busan Ind in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Busan Ind and Haitai Confectionery 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 Haitai Confectionery Foods are associated (or correlated) with Busan Ind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Busan Ind has no effect on the direction of Haitai Confectionery i.e., Haitai Confectionery and Busan Ind go up and down completely randomly.
Pair Corralation between Haitai Confectionery and Busan Ind
Assuming the 90 days trading horizon Haitai Confectionery is expected to generate 2.21 times less return on investment than Busan Ind. But when comparing it to its historical volatility, Haitai Confectionery Foods is 2.1 times less risky than Busan Ind. It trades about 0.12 of its potential returns per unit of risk. Busan Ind is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 6,140,000 in Busan Ind on November 29, 2024 and sell it today you would earn a total of 1,690,000 from holding Busan Ind or generate 27.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Haitai Confectionery Foods vs. Busan Ind
Performance |
Timeline |
Haitai Confectionery |
Busan Ind |
Haitai Confectionery and Busan Ind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haitai Confectionery and Busan Ind
The main advantage of trading using opposite Haitai Confectionery and Busan Ind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haitai Confectionery position performs unexpectedly, Busan Ind 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 Busan Ind will offset losses from the drop in Busan Ind's long position.Haitai Confectionery vs. WONIK Materials CoLtd | Haitai Confectionery vs. Kukil Metal Co | Haitai Confectionery vs. Ssangyong Materials Corp | Haitai Confectionery vs. Lotte Energy Materials |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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