Master Ad (Thailand) Market Value
| ROCTEC Stock | 0.91 0.04 4.60% |
| Symbol | Master |
Master Ad '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 Master Ad'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 Master Ad.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Master Ad on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Master Ad Public or generate 0.0% return on investment in Master Ad over 30 days.
Master Ad 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 Master Ad'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 Master Ad Public upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.94 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 30.99 | |||
| Value At Risk | (4.72) | |||
| Potential Upside | 3.33 |
Master Ad Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Master Ad's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Master Ad's standard deviation. In reality, there are many statistical measures that can use Master Ad historical prices to predict the future Master Ad's volatility.| Risk Adjusted Performance | 0.0233 | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0278 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Master Ad's 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.
Master Ad Public Backtested Returns
Master Ad Public has Sharpe Ratio of -0.011, which conveys that the firm had a -0.011% return per unit of risk over the last 3 months. Master Ad exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Master Ad's Mean Deviation of 1.38, downside deviation of 3.94, and Risk Adjusted Performance of 0.0233 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 2.1, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Master Ad will likely underperform. At this point, Master Ad Public has a negative expected return of -0.0398%. Please make sure to verify Master Ad's value at risk and the relationship between the expected short fall and price action indicator , to decide if Master Ad Public performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.32 |
Poor reverse predictability
Master Ad Public has poor reverse predictability. Overlapping area represents the amount of predictability between Master Ad time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 Master Ad Public price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Master Ad price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Master Ad Public lagged returns against current returns
Autocorrelation, which is Master Ad 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 Master Ad's stock expected returns. We can calculate the autocorrelation of Master Ad returns to help us make a trade decision. For example, suppose you find that Master Ad 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 |
Master Ad 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 Master Ad stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Master Ad stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Master Ad stock over time.
Current vs Lagged Prices |
| Timeline |
Master Ad Lagged Returns
When evaluating Master Ad's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Master Ad stock have on its future price. Master Ad 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, Master Ad autocorrelation shows the relationship between Master Ad stock current value and its past values and can show if there is a momentum factor associated with investing in Master Ad Public.
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