Correlation Between Lian Hwa and Yung Chi
Can any of the company-specific risk be diversified away by investing in both Lian Hwa and Yung Chi 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 Yung Chi 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 Yung Chi Paint, you can compare the effects of market volatilities on Lian Hwa and Yung Chi 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 Yung Chi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lian Hwa and Yung Chi.
Diversification Opportunities for Lian Hwa and Yung Chi
Excellent diversification
The 3 months correlation between Lian and Yung is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Lian Hwa Foods and Yung Chi Paint in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yung Chi Paint 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 Yung Chi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yung Chi Paint has no effect on the direction of Lian Hwa i.e., Lian Hwa and Yung Chi go up and down completely randomly.
Pair Corralation between Lian Hwa and Yung Chi
Assuming the 90 days trading horizon Lian Hwa Foods is expected to generate 2.07 times more return on investment than Yung Chi. However, Lian Hwa is 2.07 times more volatile than Yung Chi Paint. It trades about 0.11 of its potential returns per unit of risk. Yung Chi Paint is currently generating about 0.01 per unit of risk. If you would invest 8,850 in Lian Hwa Foods on September 14, 2024 and sell it today you would earn a total of 4,300 from holding Lian Hwa Foods or generate 48.59% 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. Yung Chi Paint
Performance |
Timeline |
Lian Hwa Foods |
Yung Chi Paint |
Lian Hwa and Yung Chi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lian Hwa and Yung Chi
The main advantage of trading using opposite Lian Hwa and Yung Chi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lian Hwa position performs unexpectedly, Yung Chi 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 Yung Chi will offset losses from the drop in Yung Chi's long position.Lian Hwa vs. Standard Foods Corp | Lian Hwa vs. Uni President Enterprises Corp | Lian Hwa vs. Great Wall Enterprise | Lian Hwa vs. Ruentex Development Co |
Yung Chi vs. China Steel Chemical | Yung Chi vs. Taiwan Secom Co | Yung Chi vs. Standard Foods Corp | Yung Chi vs. Eternal Materials 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Other Complementary Tools
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Transaction History View history of all your transactions and understand their impact on performance |