Correlation Between Haitai Confectionery and BGF Retail
Can any of the company-specific risk be diversified away by investing in both Haitai Confectionery and BGF Retail 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 BGF Retail 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 BGF Retail Co, you can compare the effects of market volatilities on Haitai Confectionery and BGF Retail 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 BGF Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haitai Confectionery and BGF Retail.
Diversification Opportunities for Haitai Confectionery and BGF Retail
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Haitai and BGF is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Haitai Confectionery Foods and BGF Retail Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BGF Retail 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 BGF Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BGF Retail has no effect on the direction of Haitai Confectionery i.e., Haitai Confectionery and BGF Retail go up and down completely randomly.
Pair Corralation between Haitai Confectionery and BGF Retail
Assuming the 90 days trading horizon Haitai Confectionery Foods is expected to generate 1.32 times more return on investment than BGF Retail. However, Haitai Confectionery is 1.32 times more volatile than BGF Retail Co. It trades about 0.13 of its potential returns per unit of risk. BGF Retail Co is currently generating about -0.07 per unit of risk. If you would invest 592,000 in Haitai Confectionery Foods on September 28, 2024 and sell it today you would earn a total of 40,000 from holding Haitai Confectionery Foods or generate 6.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Haitai Confectionery Foods vs. BGF Retail Co
Performance |
Timeline |
Haitai Confectionery |
BGF Retail |
Haitai Confectionery and BGF Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haitai Confectionery and BGF Retail
The main advantage of trading using opposite Haitai Confectionery and BGF Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haitai Confectionery position performs unexpectedly, BGF Retail 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 BGF Retail will offset losses from the drop in BGF Retail's long position.Haitai Confectionery vs. Samlip General Foods | Haitai Confectionery vs. Pureun Mutual Savings | Haitai Confectionery vs. Sam Yang Foods | Haitai Confectionery vs. Daol Investment Securities |
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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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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