Tpi Composites Stock Market Value
| TPIC Stock | USD 1.37 0.07 4.86% |
| Symbol | TPI |
TPI Composites Price To Book Ratio
Is Heavy Electrical Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of TPI Composites. If investors know TPI will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about TPI Composites listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.15) | Revenue Per Share 28.054 | Quarterly Revenue Growth 0.028 | Return On Assets (0.12) | Return On Equity (3.53) |
The market value of TPI Composites is measured differently than its book value, which is the value of TPI that is recorded on the company's balance sheet. Investors also form their own opinion of TPI Composites' value that differs from its market value or its book value, called intrinsic value, which is TPI Composites' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because TPI Composites' market value can be influenced by many factors that don't directly affect TPI Composites' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between TPI Composites' value and its price as these two are different measures arrived at by different means. Investors typically determine if TPI Composites is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TPI Composites' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
TPI Composites '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 Composites' 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 Composites.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in TPI Composites on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding TPI Composites or generate 0.0% return on investment in TPI Composites over 30 days. TPI Composites is related to or competes with Babcock Wilcox, Franklin Electric, Crane, Luxfer Holdings, CSW Industrials, Watts Water, and Taylor Devices. TPI Composites, Inc. manufactures and sells composite wind blades, and related precision molding and assembly systems to... More
TPI Composites 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 Composites' 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 Composites upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 28.89 | |||
| Value At Risk | (10.00) | |||
| Potential Upside | 7.48 |
TPI Composites Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TPI Composites' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TPI Composites' standard deviation. In reality, there are many statistical measures that can use TPI Composites historical prices to predict the future TPI Composites' volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (1.20) | |||
| Total Risk Alpha | (2.08) | |||
| Treynor Ratio | (5.20) |
TPI Composites Backtested Returns
TPI Composites owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.26, which indicates the firm had a -0.26% return per unit of volatility over the last 3 months. TPI Composites exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TPI Composites' variance of 32.99, and Risk Adjusted Performance of (0.14) to confirm the risk estimate we provide. The entity has a beta of 0.23, which indicates not very significant fluctuations relative to the market. As returns on the market increase, TPI Composites' returns are expected to increase less than the market. However, during the bear market, the loss of holding TPI Composites is expected to be smaller as well. At this point, TPI Composites has a negative expected return of -1.47%. Please make sure to validate TPI Composites' treynor ratio, as well as the relationship between the daily balance of power and price action indicator , to decide if TPI Composites performance from the past will be repeated at future time.
Auto-correlation | 0.69 |
Good predictability
TPI Composites has good predictability. Overlapping area represents the amount of predictability between TPI Composites time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th 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 Composites price movement. The serial correlation of 0.69 indicates that around 69.0% of current TPI Composites price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
TPI Composites lagged returns against current returns
Autocorrelation, which is TPI Composites 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 Composites' stock expected returns. We can calculate the autocorrelation of TPI Composites returns to help us make a trade decision. For example, suppose you find that TPI Composites 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 Composites 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 Composites stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TPI Composites stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TPI Composites stock over time.
Current vs Lagged Prices |
| Timeline |
TPI Composites Lagged Returns
When evaluating TPI Composites' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TPI Composites stock have on its future price. TPI Composites 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 Composites autocorrelation shows the relationship between TPI Composites stock current value and its past values and can show if there is a momentum factor associated with investing in TPI Composites.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether TPI Composites offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of TPI Composites' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Tpi Composites Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Tpi Composites Stock:Check out TPI Composites Correlation, TPI Composites Volatility and TPI Composites Alpha and Beta module to complement your research on TPI Composites. For information on how to trade TPI Stock refer to our How to Trade TPI Stock guide.You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
TPI Composites technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.