TPC Power (Thailand) Market Value
| TPCH Stock | THB 4.66 0.02 0.43% |
| Symbol | TPC |
TPC Power '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 TPC Power'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 TPC Power.
| 01/04/2023 |
| 12/24/2024 |
If you would invest 0.00 in TPC Power on January 4, 2023 and sell it all today you would earn a total of 0.00 from holding TPC Power Holding or generate 0.0% return on investment in TPC Power over 720 days. TPC Power is related to or competes with WHA Public, Energy Absolute, TPI Polene, Thai Solar, and T S. TPC Power Holding Public Company Limited, together with its subsidiaries, generates and distributes renewable electricit... More
TPC Power 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 TPC Power'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 TPC Power Holding upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.33) | |||
| Maximum Drawdown | 5.32 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 1.75 |
TPC Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TPC Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TPC Power's standard deviation. In reality, there are many statistical measures that can use TPC Power historical prices to predict the future TPC Power's volatility.| Risk Adjusted Performance | (0.23) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (2.21) |
TPC Power Holding Backtested Returns
TPC Power Holding retains Efficiency (Sharpe Ratio) of -0.38, which indicates the firm had a -0.38% return per unit of volatility over the last 3 months. TPC Power exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TPC Power's risk adjusted performance of (0.23), and Standard Deviation of 1.26 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.18, which indicates not very significant fluctuations relative to the market. As returns on the market increase, TPC Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding TPC Power is expected to be smaller as well. At this point, TPC Power Holding has a negative expected return of -0.48%. Please make sure to validate TPC Power's standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if TPC Power Holding performance from the past will be repeated at future time.
Auto-correlation | 0.49 |
Average predictability
TPC Power Holding has average predictability. Overlapping area represents the amount of predictability between TPC Power time series from 4th of January 2023 to 30th of December 2023 and 30th of December 2023 to 24th 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 TPC Power Holding price movement. The serial correlation of 0.49 indicates that about 49.0% of current TPC Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
TPC Power Holding lagged returns against current returns
Autocorrelation, which is TPC Power 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 TPC Power's stock expected returns. We can calculate the autocorrelation of TPC Power returns to help us make a trade decision. For example, suppose you find that TPC Power 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 |
TPC Power 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 TPC Power stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TPC Power stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TPC Power stock over time.
Current vs Lagged Prices |
| Timeline |
TPC Power Lagged Returns
When evaluating TPC Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TPC Power stock have on its future price. TPC Power 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, TPC Power autocorrelation shows the relationship between TPC Power stock current value and its past values and can show if there is a momentum factor associated with investing in TPC Power Holding.
Regressed Prices |
| Timeline |
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TPC Power financial ratios help investors to determine whether TPC 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 TPC with respect to the benefits of owning TPC Power security.