Correlation Between Laguna Resorts and Hwa Fong
Can any of the company-specific risk be diversified away by investing in both Laguna Resorts 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 Laguna Resorts and Hwa Fong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Laguna Resorts Hotels and Hwa Fong Rubber, you can compare the effects of market volatilities on Laguna Resorts 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 Laguna Resorts with a short position of Hwa Fong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Laguna Resorts and Hwa Fong.
Diversification Opportunities for Laguna Resorts and Hwa Fong
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Laguna and Hwa is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Laguna Resorts Hotels 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 Laguna Resorts 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 Laguna Resorts Hotels 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 Laguna Resorts i.e., Laguna Resorts and Hwa Fong go up and down completely randomly.
Pair Corralation between Laguna Resorts and Hwa Fong
Assuming the 90 days trading horizon Laguna Resorts Hotels is expected to generate 0.97 times more return on investment than Hwa Fong. However, Laguna Resorts Hotels is 1.03 times less risky than Hwa Fong. It trades about 0.13 of its potential returns per unit of risk. Hwa Fong Rubber is currently generating about -0.15 per unit of risk. If you would invest 3,700 in Laguna Resorts Hotels on September 12, 2024 and sell it today you would earn a total of 300.00 from holding Laguna Resorts Hotels or generate 8.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Laguna Resorts Hotels vs. Hwa Fong Rubber
Performance |
Timeline |
Laguna Resorts Hotels |
Hwa Fong Rubber |
Laguna Resorts and Hwa Fong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Laguna Resorts and Hwa Fong
The main advantage of trading using opposite Laguna Resorts and Hwa Fong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Laguna Resorts 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.Laguna Resorts vs. Hwa Fong Rubber | Laguna Resorts vs. AAPICO Hitech Public | Laguna Resorts vs. Haad Thip Public | Laguna Resorts vs. Italian Thai Development 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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