Correlation Between Lian Hwa and Fwusow Industry
Can any of the company-specific risk be diversified away by investing in both Lian Hwa and Fwusow Industry 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 Fwusow Industry 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 Fwusow Industry Co, you can compare the effects of market volatilities on Lian Hwa and Fwusow Industry 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 Fwusow Industry. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lian Hwa and Fwusow Industry.
Diversification Opportunities for Lian Hwa and Fwusow Industry
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lian and Fwusow is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Lian Hwa Foods and Fwusow Industry Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fwusow Industry 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 Fwusow Industry. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fwusow Industry has no effect on the direction of Lian Hwa i.e., Lian Hwa and Fwusow Industry go up and down completely randomly.
Pair Corralation between Lian Hwa and Fwusow Industry
Assuming the 90 days trading horizon Lian Hwa Foods is expected to generate 2.29 times more return on investment than Fwusow Industry. However, Lian Hwa is 2.29 times more volatile than Fwusow Industry Co. It trades about 0.11 of its potential returns per unit of risk. Fwusow Industry Co is currently generating about -0.32 per unit of risk. If you would invest 11,700 in Lian Hwa Foods on September 5, 2024 and sell it today you would earn a total of 350.00 from holding Lian Hwa Foods or generate 2.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lian Hwa Foods vs. Fwusow Industry Co
Performance |
Timeline |
Lian Hwa Foods |
Fwusow Industry |
Lian Hwa and Fwusow Industry Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lian Hwa and Fwusow Industry
The main advantage of trading using opposite Lian Hwa and Fwusow Industry positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lian Hwa position performs unexpectedly, Fwusow Industry 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 Fwusow Industry will offset losses from the drop in Fwusow Industry'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 |
Fwusow Industry vs. Great Wall Enterprise | Fwusow Industry vs. Charoen Pokphand Enterprise | Fwusow Industry vs. Taisun Enterprise Co | Fwusow Industry vs. Lian Hwa Foods |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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