TPI POLENE (Thailand) Market Value
| TPIPP-R Stock | THB 2.92 0.04 1.35% |
| Symbol | TPI |
TPI POLENE '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 TPI POLENE'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 TPI POLENE.
| 10/23/2024 |
| 12/22/2024 |
If you would invest 0.00 in TPI POLENE on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding TPI POLENE POWER or generate 0.0% return on investment in TPI POLENE over 60 days. TPI POLENE is related to or competes with TPI Polene, SPCG Public, and CK Power. TPI Polene Power Public Company Limited produces and distributes electricity in Thailand More
TPI POLENE 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 TPI POLENE'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 TPI POLENE POWER upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 8.76 | |||
| Value At Risk | (0.67) |
TPI POLENE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TPI POLENE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TPI POLENE's standard deviation. In reality, there are many statistical measures that can use TPI POLENE historical prices to predict the future TPI POLENE's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | 1.6 |
TPI POLENE POWER Backtested Returns
TPI POLENE is out of control given 3 months investment horizon. TPI POLENE POWER owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11% return per unit of volatility over the last 3 months. We were able to interpolate data for twenty-two different technical indicators, which can help you to evaluate if expected returns of 14.32% are justified by taking the suggested risk. Use TPI POLENE POWER risk adjusted performance of (0.13), and Variance of 1.25 to evaluate company specific risk that cannot be diversified away. TPI POLENE holds a performance score of 8 on a scale of zero to a hundred. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning TPI POLENE are expected to decrease at a much lower rate. During the bear market, TPI POLENE is likely to outperform the market. Use TPI POLENE POWER information ratio, skewness, as well as the relationship between the Skewness and day median price , to analyze future returns on TPI POLENE POWER.
Auto-correlation | 0.75 |
Good predictability
TPI POLENE POWER has good predictability. Overlapping area represents the amount of predictability between TPI POLENE time series from 23rd of October 2024 to 22nd of November 2024 and 22nd of November 2024 to 22nd 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 TPI POLENE POWER price movement. The serial correlation of 0.75 indicates that around 75.0% of current TPI POLENE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
TPI POLENE POWER lagged returns against current returns
Autocorrelation, which is TPI POLENE 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 TPI POLENE's stock expected returns. We can calculate the autocorrelation of TPI POLENE returns to help us make a trade decision. For example, suppose you find that TPI POLENE 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 |
TPI POLENE 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 TPI POLENE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TPI POLENE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TPI POLENE stock over time.
Current vs Lagged Prices |
| Timeline |
TPI POLENE Lagged Returns
When evaluating TPI POLENE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TPI POLENE stock have on its future price. TPI POLENE 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, TPI POLENE autocorrelation shows the relationship between TPI POLENE stock current value and its past values and can show if there is a momentum factor associated with investing in TPI POLENE POWER.
Regressed Prices |
| Timeline |
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When running TPI POLENE's price analysis, check to measure TPI POLENE's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy TPI POLENE is operating at the current time. Most of TPI POLENE's value examination focuses on studying past and present price action to predict the probability of TPI POLENE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move TPI POLENE's price. Additionally, you may evaluate how the addition of TPI POLENE to your portfolios can decrease your overall portfolio volatility.