Correlation Between Supalai Public and Quality Houses
Can any of the company-specific risk be diversified away by investing in both Supalai Public and Quality Houses 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 Supalai Public and Quality Houses into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Supalai Public and Quality Houses Public, you can compare the effects of market volatilities on Supalai Public and Quality Houses 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 Supalai Public with a short position of Quality Houses. Check out your portfolio center. Please also check ongoing floating volatility patterns of Supalai Public and Quality Houses.
Diversification Opportunities for Supalai Public and Quality Houses
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Supalai and Quality is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Supalai Public and Quality Houses Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quality Houses Public and Supalai Public 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 Supalai Public are associated (or correlated) with Quality Houses. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quality Houses Public has no effect on the direction of Supalai Public i.e., Supalai Public and Quality Houses go up and down completely randomly.
Pair Corralation between Supalai Public and Quality Houses
Assuming the 90 days trading horizon Supalai Public is expected to under-perform the Quality Houses. In addition to that, Supalai Public is 1.14 times more volatile than Quality Houses Public. It trades about -0.12 of its total potential returns per unit of risk. Quality Houses Public is currently generating about -0.11 per unit of volatility. If you would invest 193.00 in Quality Houses Public on September 28, 2024 and sell it today you would lose (20.00) from holding Quality Houses Public or give up 10.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.36% |
Values | Daily Returns |
Supalai Public vs. Quality Houses Public
Performance |
Timeline |
Supalai Public |
Quality Houses Public |
Supalai Public and Quality Houses Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Supalai Public and Quality Houses
The main advantage of trading using opposite Supalai Public and Quality Houses positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Supalai Public position performs unexpectedly, Quality Houses 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 Quality Houses will offset losses from the drop in Quality Houses' long position.Supalai Public vs. Bangkok Bank Public | Supalai Public vs. The Siam Cement | Supalai Public vs. PTT Public | Supalai Public vs. SCB X Public |
Quality Houses vs. Bangkok Bank Public | Quality Houses vs. The Siam Cement | Quality Houses vs. PTT Public | Quality Houses vs. SCB X 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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