Correlation Between Lian Hwa and Formosa Oilseed
Can any of the company-specific risk be diversified away by investing in both Lian Hwa and Formosa Oilseed 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 Lian Hwa and Formosa Oilseed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lian Hwa Foods and Formosa Oilseed Processing, you can compare the effects of market volatilities on Lian Hwa and Formosa Oilseed 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 Lian Hwa with a short position of Formosa Oilseed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lian Hwa and Formosa Oilseed.
Diversification Opportunities for Lian Hwa and Formosa Oilseed
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Lian and Formosa is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Lian Hwa Foods and Formosa Oilseed Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa Oilseed Proc and Lian Hwa 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 Lian Hwa Foods are associated (or correlated) with Formosa Oilseed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosa Oilseed Proc has no effect on the direction of Lian Hwa i.e., Lian Hwa and Formosa Oilseed go up and down completely randomly.
Pair Corralation between Lian Hwa and Formosa Oilseed
Assuming the 90 days trading horizon Lian Hwa Foods is expected to generate 0.41 times more return on investment than Formosa Oilseed. However, Lian Hwa Foods is 2.47 times less risky than Formosa Oilseed. It trades about 0.28 of its potential returns per unit of risk. Formosa Oilseed Processing is currently generating about -0.41 per unit of risk. If you would invest 11,800 in Lian Hwa Foods on October 7, 2024 and sell it today you would earn a total of 2,700 from holding Lian Hwa Foods or generate 22.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lian Hwa Foods vs. Formosa Oilseed Processing
Performance |
Timeline |
Lian Hwa Foods |
Formosa Oilseed Proc |
Lian Hwa and Formosa Oilseed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lian Hwa and Formosa Oilseed
The main advantage of trading using opposite Lian Hwa and Formosa Oilseed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lian Hwa position performs unexpectedly, Formosa Oilseed 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 Formosa Oilseed will offset losses from the drop in Formosa Oilseed's long position.Lian Hwa vs. Lien Hwa Industrial | Lian Hwa vs. Charoen Pokphand Enterprise | Lian Hwa vs. Great Wall Enterprise | Lian Hwa vs. Uni President Enterprises Corp |
Formosa Oilseed vs. Great Wall Enterprise | Formosa Oilseed vs. Lian Hwa Foods | Formosa Oilseed vs. Lien Hwa Industrial | Formosa Oilseed vs. Charoen Pokphand Enterprise |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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