Correlation Between Lealea Enterprise and Lan Fa
Can any of the company-specific risk be diversified away by investing in both Lealea Enterprise and Lan Fa 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 Lealea Enterprise and Lan Fa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lealea Enterprise Co and Lan Fa Textile, you can compare the effects of market volatilities on Lealea Enterprise and Lan Fa 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 Lealea Enterprise with a short position of Lan Fa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lealea Enterprise and Lan Fa.
Diversification Opportunities for Lealea Enterprise and Lan Fa
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lealea and Lan is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Lealea Enterprise Co and Lan Fa Textile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lan Fa Textile and Lealea Enterprise 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 Lealea Enterprise Co are associated (or correlated) with Lan Fa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lan Fa Textile has no effect on the direction of Lealea Enterprise i.e., Lealea Enterprise and Lan Fa go up and down completely randomly.
Pair Corralation between Lealea Enterprise and Lan Fa
Assuming the 90 days trading horizon Lealea Enterprise Co is expected to generate 1.33 times more return on investment than Lan Fa. However, Lealea Enterprise is 1.33 times more volatile than Lan Fa Textile. It trades about 0.05 of its potential returns per unit of risk. Lan Fa Textile is currently generating about -0.02 per unit of risk. If you would invest 891.00 in Lealea Enterprise Co on September 4, 2024 and sell it today you would earn a total of 25.00 from holding Lealea Enterprise Co or generate 2.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lealea Enterprise Co vs. Lan Fa Textile
Performance |
Timeline |
Lealea Enterprise |
Lan Fa Textile |
Lealea Enterprise and Lan Fa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lealea Enterprise and Lan Fa
The main advantage of trading using opposite Lealea Enterprise and Lan Fa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lealea Enterprise position performs unexpectedly, Lan Fa 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 Lan Fa will offset losses from the drop in Lan Fa's long position.Lealea Enterprise vs. Tainan Spinning Co | Lealea Enterprise vs. Chia Her Industrial | Lealea Enterprise vs. WiseChip Semiconductor | Lealea Enterprise vs. Novatek Microelectronics Corp |
Lan Fa vs. Lealea Enterprise Co | Lan Fa vs. Li Peng Enterprise | Lan Fa vs. De Licacy Industrial | Lan Fa vs. Chyang Sheng Dyeing |
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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