Correlation Between Fancy Wood and Hwa Fong
Can any of the company-specific risk be diversified away by investing in both Fancy Wood and Hwa Fong 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 Fancy Wood and Hwa Fong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fancy Wood Industries and Hwa Fong Rubber, you can compare the effects of market volatilities on Fancy Wood and Hwa Fong 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 Fancy Wood with a short position of Hwa Fong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fancy Wood and Hwa Fong.
Diversification Opportunities for Fancy Wood and Hwa Fong
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Fancy and Hwa is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Fancy Wood Industries and Hwa Fong Rubber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hwa Fong Rubber and Fancy Wood 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 Fancy Wood Industries are associated (or correlated) with Hwa Fong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hwa Fong Rubber has no effect on the direction of Fancy Wood i.e., Fancy Wood and Hwa Fong go up and down completely randomly.
Pair Corralation between Fancy Wood and Hwa Fong
If you would invest 436.00 in Hwa Fong Rubber on September 14, 2024 and sell it today you would lose (22.00) from holding Hwa Fong Rubber or give up 5.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.26% |
Values | Daily Returns |
Fancy Wood Industries vs. Hwa Fong Rubber
Performance |
Timeline |
Fancy Wood Industries |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Hwa Fong Rubber |
Fancy Wood and Hwa Fong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fancy Wood and Hwa Fong
The main advantage of trading using opposite Fancy Wood and Hwa Fong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fancy Wood position performs unexpectedly, Hwa Fong 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 Hwa Fong will offset losses from the drop in Hwa Fong's long position.Fancy Wood vs. Eastern Commercial Leasing | Fancy Wood vs. Finansa Public | Fancy Wood vs. General Environmental Conservation | Fancy Wood vs. CPL Group Public |
Hwa Fong vs. Haad Thip Public | Hwa Fong vs. AAPICO Hitech Public | Hwa Fong vs. Inoue Rubber Public | Hwa Fong vs. Hana Microelectronics Public |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |