Pan Asia (Thailand) Market Value
| PAF Stock | THB 0.97 0.03 3.00% |
| Symbol | Pan |
Pan Asia '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 Pan Asia'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 Pan Asia.
| 12/26/2022 |
| 12/15/2024 |
If you would invest 0.00 in Pan Asia on December 26, 2022 and sell it all today you would earn a total of 0.00 from holding Pan Asia Footwear or generate 0.0% return on investment in Pan Asia over 720 days. Pan Asia is related to or competes with Hwa Fong, AAPICO Hitech, Haad Thip, and Italian Thai. Pan Asia Footwear Public Company Limited, an investment holding company, engages in the manufacture and distribution of ... More
Pan Asia 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 Pan Asia'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 Pan Asia Footwear upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 12.2 | |||
| Value At Risk | (5.47) | |||
| Potential Upside | 2.02 |
Pan Asia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pan Asia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pan Asia's standard deviation. In reality, there are many statistical measures that can use Pan Asia historical prices to predict the future Pan Asia's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.41) | |||
| Total Risk Alpha | (0.66) | |||
| Treynor Ratio | (1.91) |
Pan Asia Footwear Backtested Returns
Pan Asia Footwear maintains Sharpe Ratio (i.e., Efficiency) of -0.15, which implies the firm had a -0.15% return per unit of risk over the last 3 months. Pan Asia Footwear exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pan Asia's Coefficient Of Variation of (561.76), risk adjusted performance of (0.12), and Variance of 4.65 to confirm the risk estimate we provide. The company holds a Beta of 0.21, which implies not very significant fluctuations relative to the market. As returns on the market increase, Pan Asia's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pan Asia is expected to be smaller as well. At this point, Pan Asia Footwear has a negative expected return of -0.3%. Please make sure to check Pan Asia's treynor ratio, value at risk, skewness, as well as the relationship between the maximum drawdown and potential upside , to decide if Pan Asia Footwear performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.39 |
Below average predictability
Pan Asia Footwear has below average predictability. Overlapping area represents the amount of predictability between Pan Asia time series from 26th of December 2022 to 21st of December 2023 and 21st of December 2023 to 15th 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 Pan Asia Footwear price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Pan Asia price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Pan Asia Footwear lagged returns against current returns
Autocorrelation, which is Pan Asia 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 Pan Asia's stock expected returns. We can calculate the autocorrelation of Pan Asia returns to help us make a trade decision. For example, suppose you find that Pan Asia 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 |
Pan Asia 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 Pan Asia stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pan Asia stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pan Asia stock over time.
Current vs Lagged Prices |
| Timeline |
Pan Asia Lagged Returns
When evaluating Pan Asia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pan Asia stock have on its future price. Pan Asia 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, Pan Asia autocorrelation shows the relationship between Pan Asia stock current value and its past values and can show if there is a momentum factor associated with investing in Pan Asia Footwear.
Regressed Prices |
| Timeline |
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Pan Asia financial ratios help investors to determine whether Pan 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 Pan with respect to the benefits of owning Pan Asia security.