Correlation Between Kwong Fong and Hunya Foods
Can any of the company-specific risk be diversified away by investing in both Kwong Fong and Hunya Foods 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 Kwong Fong and Hunya Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kwong Fong Industries and Hunya Foods Co, you can compare the effects of market volatilities on Kwong Fong and Hunya Foods 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 Kwong Fong with a short position of Hunya Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kwong Fong and Hunya Foods.
Diversification Opportunities for Kwong Fong and Hunya Foods
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Kwong and Hunya is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Kwong Fong Industries and Hunya Foods Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hunya Foods and Kwong Fong 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 Kwong Fong Industries are associated (or correlated) with Hunya Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hunya Foods has no effect on the direction of Kwong Fong i.e., Kwong Fong and Hunya Foods go up and down completely randomly.
Pair Corralation between Kwong Fong and Hunya Foods
Assuming the 90 days trading horizon Kwong Fong Industries is expected to generate 2.96 times more return on investment than Hunya Foods. However, Kwong Fong is 2.96 times more volatile than Hunya Foods Co. It trades about 0.07 of its potential returns per unit of risk. Hunya Foods Co is currently generating about -0.03 per unit of risk. If you would invest 1,245 in Kwong Fong Industries on September 13, 2024 and sell it today you would earn a total of 90.00 from holding Kwong Fong Industries or generate 7.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kwong Fong Industries vs. Hunya Foods Co
Performance |
Timeline |
Kwong Fong Industries |
Hunya Foods |
Kwong Fong and Hunya Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kwong Fong and Hunya Foods
The main advantage of trading using opposite Kwong Fong and Hunya Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kwong Fong position performs unexpectedly, Hunya Foods 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 Hunya Foods will offset losses from the drop in Hunya Foods' long position.Kwong Fong vs. Feng Tay Enterprises | Kwong Fong vs. Ruentex Development Co | Kwong Fong vs. WiseChip Semiconductor | Kwong Fong vs. Novatek Microelectronics Corp |
Hunya Foods vs. Standard Foods Corp | Hunya Foods vs. Uni President Enterprises Corp | Hunya Foods vs. Great Wall Enterprise | Hunya Foods vs. Ruentex Development Co |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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