Meta Public (Thailand) Market Value
| META Stock | THB 0.14 0.01 7.69% |
| Symbol | Meta |
Meta Public '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 Meta Public'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 Meta Public.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Meta Public on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Meta Public or generate 0.0% return on investment in Meta Public over 30 days. Meta Public is related to or competes with Asia Biomass, JCK International, Green Resources, and Dimet Public. Meta Corporation Public Company Limited, together with its subsidiaries, operates as a contractor, developer, and operat... More
Meta Public 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 Meta Public'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 Meta Public upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.65 | |||
| Information Ratio | 0.0462 | |||
| Maximum Drawdown | 27.62 | |||
| Value At Risk | (7.14) | |||
| Potential Upside | 8.33 |
Meta Public Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Meta Public's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Meta Public's standard deviation. In reality, there are many statistical measures that can use Meta Public historical prices to predict the future Meta Public's volatility.| Risk Adjusted Performance | 0.0632 | |||
| Jensen Alpha | 0.5277 | |||
| Total Risk Alpha | (0.40) | |||
| Sortino Ratio | 0.0265 | |||
| Treynor Ratio | (0.22) |
Meta Public Backtested Returns
Meta Public appears to be out of control, given 3 months investment horizon. Meta Public has Sharpe Ratio of 0.0747, which conveys that the firm had a 0.0747% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Meta Public, which you can use to evaluate the volatility of the firm. Please exercise Meta Public's Mean Deviation of 2.96, risk adjusted performance of 0.0632, and Downside Deviation of 8.65 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Meta Public holds a performance score of 5. The company secures a Beta (Market Risk) of -1.59, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Meta Public are expected to decrease by larger amounts. On the other hand, during market turmoil, Meta Public is expected to outperform it. Please check Meta Public's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to make a quick decision on whether Meta Public's current price movements will revert.
Auto-correlation | -0.06 |
Very weak reverse predictability
Meta Public has very weak reverse predictability. Overlapping area represents the amount of predictability between Meta Public time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Meta Public price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Meta Public price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Meta Public lagged returns against current returns
Autocorrelation, which is Meta Public 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 Meta Public's stock expected returns. We can calculate the autocorrelation of Meta Public returns to help us make a trade decision. For example, suppose you find that Meta Public 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 |
Meta Public 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 Meta Public stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Meta Public stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Meta Public stock over time.
Current vs Lagged Prices |
| Timeline |
Meta Public Lagged Returns
When evaluating Meta Public's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Meta Public stock have on its future price. Meta Public 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, Meta Public autocorrelation shows the relationship between Meta Public stock current value and its past values and can show if there is a momentum factor associated with investing in Meta 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 ArchitectOther Information on Investing in Meta Stock
Meta Public financial ratios help investors to determine whether Meta Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Meta with respect to the benefits of owning Meta Public security.