Twfg, Class A Stock Market Value

TWFG Stock   35.59  2.18  6.52%   
TWFG,'s market value is the price at which a share of TWFG, trades on a public exchange. It measures the collective expectations of TWFG, Class A investors about its performance. TWFG, is trading at 35.59 as of the 22nd of November 2024. This is a 6.52 percent up since the beginning of the trading day. The stock's lowest day price was 32.15.
With this module, you can estimate the performance of a buy and hold strategy of TWFG, Class A and determine expected loss or profit from investing in TWFG, over a given investment horizon. Check out TWFG, Correlation, TWFG, Volatility and TWFG, Alpha and Beta module to complement your research on TWFG,.
Symbol

TWFG, Class A Company Valuation

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
290.091
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,.
0.00
10/23/2024
No Change 0.00  0.0 
In 31 days
11/22/2024
0.00
If you would invest  0.00  in TWFG, on October 23, 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 Everspin Technologies, Valens, Pinterest, Zhihu, and Dave Busters. 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.

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.
Hype
Prediction
LowEstimatedHigh
30.9333.5236.11
Details
Intrinsic
Valuation
LowRealHigh
28.7631.3533.94
Details
Naive
Forecast
LowNextHigh
30.7033.2935.89
Details
7 Analysts
Consensus
LowTargetHigh
25.7828.3331.45
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as TWFG,. Your research has to be compared to or analyzed against TWFG,'s peers to derive any actionable benefits. When done correctly, TWFG,'s competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in TWFG, Class A.

TWFG, Class A Backtested Returns

TWFG, appears to be very steady, given 3 months investment horizon. TWFG, Class A owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.2, which indicates the firm had a 0.2% return per unit of volatility over the last 3 months. By evaluating TWFG,'s technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please review TWFG,'s risk adjusted performance of 0.1389, and Coefficient Of Variation of 578.17 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, TWFG, holds a performance score of 15. The entity has a beta of 0.39, 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. Please check TWFG,'s 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 make a quick decision on whether TWFG,'s existing price patterns will revert.

Auto-correlation

    
  -0.03  

Very weak reverse predictability

TWFG, Class A has very weak reverse predictability. Overlapping area represents the amount of predictability between TWFG, time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 TWFG, Class A price movement. The serial correlation of -0.03 indicates that only 3.0% of current TWFG, price fluctuation can be explain by its past prices.
Correlation Coefficient-0.03
Spearman Rank Test-0.06
Residual Average0.0
Price Variance1.5

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  

Currently Active Assets on Macroaxis

When determining whether TWFG, Class A is a strong investment it is important to analyze TWFG,'s competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact TWFG,'s future performance. For an informed investment choice regarding TWFG, Stock, refer to the following important reports:
Check out TWFG, Correlation, TWFG, Volatility and TWFG, Alpha and Beta module to complement your research on TWFG,.
You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
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.
A focus of TWFG, technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of TWFG, trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...