Twfg, Class A Stock Market Value
| TWFG Stock | 30.70 0.24 0.79% |
| Symbol | TWFG, |
TWFG, Class A Price To Book Ratio
Is Multi-line Insurance 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 TWFG,. If investors know TWFG, 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 TWFG, listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.06) | Earnings Share 0.4 | Revenue Per Share | Quarterly Revenue Growth 0.174 |
The market value of TWFG, Class A is measured differently than its book value, which is the value of TWFG, that is recorded on the company's balance sheet. Investors also form their own opinion of TWFG,'s value that differs from its market value or its book value, called intrinsic value, which is TWFG,'s 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 TWFG,'s market value can be influenced by many factors that don't directly affect TWFG,'s 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 TWFG,'s value and its price as these two are different measures arrived at by different means. Investors typically determine if TWFG, is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TWFG,'s 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.
TWFG, '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 TWFG,'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 TWFG,.
| 12/20/2024 |
| 01/19/2025 |
If you would invest 0.00 in TWFG, on December 20, 2024 and sell it all today you would earn a total of 0.00 from holding TWFG, Class A or generate 0.0% return on investment in TWFG, over 30 days. TWFG, is related to or competes with Park Electrochemical, Sensient Technologies, Weyco, Nyxoah, Mosaic, Merit Medical, and Haemonetics. TWFG, is entity of United States. It is traded as Stock on NASDAQ exchange. More
TWFG, 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 TWFG,'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 TWFG, Class A upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.78 | |||
| Information Ratio | 0.0292 | |||
| Maximum Drawdown | 12.82 | |||
| Value At Risk | (4.18) | |||
| Potential Upside | 4.84 |
TWFG, Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TWFG,'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TWFG,'s standard deviation. In reality, there are many statistical measures that can use TWFG, historical prices to predict the future TWFG,'s volatility.| Risk Adjusted Performance | 0.0402 | |||
| Jensen Alpha | 0.0879 | |||
| Total Risk Alpha | 0.0354 | |||
| Sortino Ratio | 0.0294 | |||
| Treynor Ratio | 0.1476 |
TWFG, Class A Backtested Returns
At this point, TWFG, is very steady. TWFG, Class A owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0071, which indicates the firm had a 0.0071% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for TWFG, Class A, which you can use to evaluate the volatility of the company. Please validate TWFG,'s coefficient of variation of 2515.41, and Risk Adjusted Performance of 0.0402 to confirm if the risk estimate we provide is consistent with the expected return of 0.0198%. The entity has a beta of 0.69, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, TWFG,'s returns are expected to increase less than the market. However, during the bear market, the loss of holding TWFG, is expected to be smaller as well. TWFG, Class A presently has a risk of 2.81%. Please validate TWFG, total risk alpha, expected short fall, market facilitation index, as well as the relationship between the value at risk and daily balance of power , to decide if TWFG, will be following its existing price patterns.
Auto-correlation | 0.34 |
Below average predictability
TWFG, Class A has below average predictability. Overlapping area represents the amount of predictability between TWFG, time series from 20th of December 2024 to 4th of January 2025 and 4th of January 2025 to 19th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of TWFG, Class A price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current TWFG, price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.34 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 1.28 |
TWFG, Class A lagged returns against current returns
Autocorrelation, which is TWFG, 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 TWFG,'s stock expected returns. We can calculate the autocorrelation of TWFG, returns to help us make a trade decision. For example, suppose you find that TWFG, 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 |
TWFG, 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 TWFG, stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TWFG, stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TWFG, stock over time.
Current vs Lagged Prices |
| Timeline |
TWFG, Lagged Returns
When evaluating TWFG,'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TWFG, stock have on its future price. TWFG, 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, TWFG, autocorrelation shows the relationship between TWFG, stock current value and its past values and can show if there is a momentum factor associated with investing in TWFG, Class A.
Regressed Prices |
| Timeline |
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Check out TWFG, Correlation, TWFG, Volatility and TWFG, Alpha and Beta module to complement your research on TWFG,. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
TWFG, 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.