Food Moments (Thailand) Market Value
| FM Stock | 3.66 0.06 1.61% |
| Symbol | Food |
Food Moments '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 Food Moments' 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 Food Moments.
| 06/29/2024 |
| 12/26/2024 |
If you would invest 0.00 in Food Moments on June 29, 2024 and sell it all today you would earn a total of 0.00 from holding Food Moments PCL or generate 0.0% return on investment in Food Moments over 180 days.
Food Moments 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 Food Moments' 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 Food Moments PCL upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 8.79 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 3.06 |
Food Moments Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Food Moments' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Food Moments' standard deviation. In reality, there are many statistical measures that can use Food Moments historical prices to predict the future Food Moments' volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.41) | |||
| Treynor Ratio | (2.49) |
Food Moments PCL Backtested Returns
Food Moments PCL secures Sharpe Ratio (or Efficiency) of -0.19, which denotes the company had a -0.19% return per unit of risk over the last 3 months. Food Moments PCL exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Food Moments' Mean Deviation of 1.5, standard deviation of 1.88, and Variance of 3.52 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.12, which means not very significant fluctuations relative to the market. As returns on the market increase, Food Moments' returns are expected to increase less than the market. However, during the bear market, the loss of holding Food Moments is expected to be smaller as well. At this point, Food Moments PCL has a negative expected return of -0.36%. Please make sure to confirm Food Moments' total risk alpha, skewness, rate of daily change, as well as the relationship between the maximum drawdown and accumulation distribution , to decide if Food Moments PCL performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.35 |
Poor reverse predictability
Food Moments PCL has poor reverse predictability. Overlapping area represents the amount of predictability between Food Moments time series from 29th of June 2024 to 27th of September 2024 and 27th of September 2024 to 26th 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 Food Moments PCL price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Food Moments price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Food Moments PCL lagged returns against current returns
Autocorrelation, which is Food Moments 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 Food Moments' stock expected returns. We can calculate the autocorrelation of Food Moments returns to help us make a trade decision. For example, suppose you find that Food Moments 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 |
Food Moments 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 Food Moments stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Food Moments stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Food Moments stock over time.
Current vs Lagged Prices |
| Timeline |
Food Moments Lagged Returns
When evaluating Food Moments' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Food Moments stock have on its future price. Food Moments 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, Food Moments autocorrelation shows the relationship between Food Moments stock current value and its past values and can show if there is a momentum factor associated with investing in Food Moments PCL.
Regressed Prices |
| Timeline |
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