Correlation Between Airports and Hwa Fong
Can any of the company-specific risk be diversified away by investing in both Airports 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 Airports and Hwa Fong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Airports of Thailand and Hwa Fong Rubber, you can compare the effects of market volatilities on Airports 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 Airports with a short position of Hwa Fong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Airports and Hwa Fong.
Diversification Opportunities for Airports and Hwa Fong
Poor diversification
The 3 months correlation between Airports and Hwa is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Airports of Thailand 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 Airports 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 Airports of Thailand 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 Airports i.e., Airports and Hwa Fong go up and down completely randomly.
Pair Corralation between Airports and Hwa Fong
Assuming the 90 days trading horizon Airports of Thailand is expected to under-perform the Hwa Fong. But the stock apears to be less risky and, when comparing its historical volatility, Airports of Thailand is 1.01 times less risky than Hwa Fong. The stock trades about -0.19 of its potential returns per unit of risk. The Hwa Fong Rubber is currently generating about -0.15 of returns per unit of risk over similar time horizon. If you would invest 424.00 in Hwa Fong Rubber on September 24, 2024 and sell it today you would lose (14.00) from holding Hwa Fong Rubber or give up 3.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Airports of Thailand vs. Hwa Fong Rubber
Performance |
Timeline |
Airports of Thailand |
Hwa Fong Rubber |
Airports and Hwa Fong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Airports and Hwa Fong
The main advantage of trading using opposite Airports and Hwa Fong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Airports 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.Airports vs. Land and Houses | Airports vs. CH Karnchang Public | Airports vs. Krung Thai Bank | Airports vs. Bangkok Bank Public |
Hwa Fong vs. CP ALL Public | Hwa Fong vs. Bangkok Dusit Medical | Hwa Fong vs. Airports of Thailand | Hwa Fong vs. Kasikornbank 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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Other Complementary Tools
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |