CHAOSUA FOODS (Thailand) Market Value
| CHAO Stock | 7.60 0.35 4.83% |
| Symbol | CHAOSUA |
CHAOSUA FOODS '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 CHAOSUA FOODS's 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 CHAOSUA FOODS.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in CHAOSUA FOODS on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding CHAOSUA FOODS INDUSTRY or generate 0.0% return on investment in CHAOSUA FOODS over 720 days.
CHAOSUA FOODS 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 CHAOSUA FOODS's 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 CHAOSUA FOODS INDUSTRY upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 12.95 | |||
| Value At Risk | (5.62) | |||
| Potential Upside | 4.55 |
CHAOSUA FOODS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CHAOSUA FOODS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CHAOSUA FOODS's standard deviation. In reality, there are many statistical measures that can use CHAOSUA FOODS historical prices to predict the future CHAOSUA FOODS's volatility.| Risk Adjusted Performance | (0.20) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (1.21) | |||
| Treynor Ratio | 13.21 |
CHAOSUA FOODS INDUSTRY Backtested Returns
CHAOSUA FOODS INDUSTRY retains Efficiency (Sharpe Ratio) of -0.25, which signifies that the company had a -0.25% return per unit of risk over the last 3 months. CHAOSUA FOODS exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CHAOSUA FOODS's variance of 7.75, and Market Risk Adjusted Performance of 13.22 to double-check the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.0565, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CHAOSUA FOODS are expected to decrease at a much lower rate. During the bear market, CHAOSUA FOODS is likely to outperform the market. At this point, CHAOSUA FOODS INDUSTRY has a negative expected return of -0.7%. Please make sure to confirm CHAOSUA FOODS's coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if CHAOSUA FOODS INDUSTRY performance from the past will be repeated at some future date.
Auto-correlation | 0.00 |
No correlation between past and present
CHAOSUA FOODS INDUSTRY has no correlation between past and present. Overlapping area represents the amount of predictability between CHAOSUA FOODS time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 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 CHAOSUA FOODS INDUSTRY price movement. The serial correlation of 0.0 indicates that just 0.0% of current CHAOSUA FOODS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
CHAOSUA FOODS INDUSTRY lagged returns against current returns
Autocorrelation, which is CHAOSUA FOODS 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 CHAOSUA FOODS's stock expected returns. We can calculate the autocorrelation of CHAOSUA FOODS returns to help us make a trade decision. For example, suppose you find that CHAOSUA FOODS 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 |
CHAOSUA FOODS 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 CHAOSUA FOODS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CHAOSUA FOODS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CHAOSUA FOODS stock over time.
Current vs Lagged Prices |
| Timeline |
CHAOSUA FOODS Lagged Returns
When evaluating CHAOSUA FOODS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CHAOSUA FOODS stock have on its future price. CHAOSUA FOODS 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, CHAOSUA FOODS autocorrelation shows the relationship between CHAOSUA FOODS stock current value and its past values and can show if there is a momentum factor associated with investing in CHAOSUA FOODS INDUSTRY.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio Architect