Quality Houses (Thailand) Market Value
| QH-R Stock | 2.04 0.21 9.33% |
| Symbol | Quality |
Quality Houses 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Quality Houses' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Quality Houses.
| 04/21/2024 |
| 05/21/2024 |
If you would invest 0.00 in Quality Houses on April 21, 2024 and sell it all today you would earn a total of 0.00 from holding Quality Houses Public or generate 0.0% return on investment in Quality Houses over 30 days. Quality Houses is related to or competes with PTG Energy, WHA Public, Thai Union, AP Public, and Ratch Group. More
Quality Houses Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Quality Houses' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Quality Houses Public upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 4.65 |
Quality Houses Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quality Houses' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quality Houses' standard deviation. In reality, there are many statistical measures that can use Quality Houses historical prices to predict the future Quality Houses' volatility.| Risk Adjusted Performance | 0.0051 | |||
| Jensen Alpha | 0.0146 | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | 0.0217 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quality Houses' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Quality Houses Public Backtested Returns
Quality Houses Public maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the firm had a -0.11% return per unit of risk over the last 3 months. Quality Houses Public exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quality Houses' Coefficient Of Variation of 25476.06, variance of 0.6367, and Risk Adjusted Performance of 0.0051 to confirm the risk estimate we provide. The company holds a Beta of -0.32, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Quality Houses are expected to decrease at a much lower rate. During the bear market, Quality Houses is likely to outperform the market. Quality Houses Public has an expected return of -0.16%. Please make sure to check Quality Houses Public coefficient of variation, variance, jensen alpha, as well as the relationship between the standard deviation and information ratio , to decide if Quality Houses Public performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Quality Houses Public has no correlation between past and present. Overlapping area represents the amount of predictability between Quality Houses time series from 21st of April 2024 to 6th of May 2024 and 6th of May 2024 to 21st of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Quality Houses Public price movement. The serial correlation of 0.0 indicates that just 0.0% of current Quality Houses price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.96 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quality Houses Public lagged returns against current returns
Autocorrelation, which is Quality Houses stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Quality Houses' stock expected returns. We can calculate the autocorrelation of Quality Houses returns to help us make a trade decision. For example, suppose you find that Quality Houses has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Quality Houses regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Quality Houses stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quality Houses stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quality Houses stock over time.
Current vs Lagged Prices |
| Timeline |
Quality Houses Lagged Returns
When evaluating Quality Houses' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quality Houses stock have on its future price. Quality Houses autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Quality Houses autocorrelation shows the relationship between Quality Houses stock current value and its past values and can show if there is a momentum factor associated with investing in Quality Houses Public.
Regressed Prices |
| Timeline |
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Check out Quality Houses Correlation, Quality Houses Volatility and Quality Houses Alpha and Beta module to complement your research on Quality Houses. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Quality Stock analysis
When running Quality Houses' price analysis, check to measure Quality Houses' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Quality Houses is operating at the current time. Most of Quality Houses' value examination focuses on studying past and present price action to predict the probability of Quality Houses' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quality Houses' price. Additionally, you may evaluate how the addition of Quality Houses to your portfolios can decrease your overall portfolio volatility.
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
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| Global Correlations Find global opportunities by holding instruments from different markets | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |
Quality Houses technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.