Twitter Stock Market Value

TWTR
 Stock
  

USD 43.84  1.10  2.57%   

Twitter's market value is the price at which a share of Twitter stock trades on a public exchange. It measures the collective expectations of Twitter investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Twitter and determine expected loss or profit from investing in Twitter over a given investment horizon. Additionally, take a look at Twitter Correlation, Twitter Volatility and Twitter Alpha and Beta module to complement your research on Twitter.
Symbol


Is Twitter's industry 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 Twitter. If investors know Twitter 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 Twitter listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Twitter is measured differently than its book value, which is the value of Twitter that is recorded on the company's balance sheet. Investors also form their own opinion of Twitter's value that differs from its market value or its book value, called intrinsic value, which is Twitter'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 Twitter's market value can be influenced by many factors that don't directly affect Twitter'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 Twitter's value and its price as these two are different measures arrived at by different means. Investors typically determine Twitter value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Twitter'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.

Twitter '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 Twitter'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 Twitter.
0.00
08/03/2022
No Change 0.00  0.0 
In 2 months and 1 day
10/02/2022
0.00
If you would invest  0.00  in Twitter on August 3, 2022 and sell it all today you would earn a total of 0.00 from holding Twitter or generate 0.0% return on investment in Twitter over 60 days. Twitter is related to or competes with Tencent Holdings. Twitter, Inc. operates as a platform for public self-expression and conversation in real-time More

Twitter 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 Twitter'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 Twitter upside and downside potential and time the market with a certain degree of confidence.

Twitter Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Twitter's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Twitter's standard deviation. In reality, there are many statistical measures that can use Twitter historical prices to predict the future Twitter's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Twitter's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Twitter in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
41.0643.7546.44
Details
Intrinsic
Valuation
LowReal ValueHigh
39.4651.1553.84
Details
Naive
Forecast
LowNext ValueHigh
40.5743.2645.95
Details
24 Analysts
Consensus
LowTarget PriceHigh
45.0068.3195.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Twitter. Your research has to be compared to or analyzed against Twitter's peers to derive any actionable benefits. When done correctly, Twitter's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Twitter.

Twitter Backtested Returns

Twitter appears to be very steady, given 3 months investment horizon. Twitter owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0908, which indicates the firm had 0.0908% of return per unit of risk over the last 3 months. Our standpoint towards measuring the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-seven technical indicators for Twitter, which you can use to evaluate the future volatility of the company. Please review Twitter's Risk Adjusted Performance of 0.117, coefficient of variation of 1023.69, and Semi Deviation of 2.69 to confirm if our risk estimates are consistent with your expectations.
On a scale of 0 to 100, Twitter holds a performance score of 6. The entity has a beta of 0.7143, which indicates possible diversification benefits within a given portfolio. Let's try to break down what Twitter's beta means in this case. As returns on the market increase, Twitter returns are expected to increase less than the market. However, during the bear market, the loss on holding Twitter will be expected to be smaller as well. Although it is important to respect Twitter current price movements, it is better to be realistic regarding the information on the equity's historical returns. The philosophy towards measuring future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By inspecting Twitter technical indicators, you can presently evaluate if the expected return of 0.24% will be sustainable into the future. Please operates Twitter maximum drawdown, as well as the relationship between the skewness and day typical price to make a quick decision on whether Twitter existing price patterns will revert.

Auto-correlation

    
  -0.34  

Poor reverse predictability

Twitter has poor reverse predictability. Overlapping area represents the amount of predictability between Twitter time series from 3rd of August 2022 to 2nd of September 2022 and 2nd of September 2022 to 2nd of October 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Twitter price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Twitter price fluctuation can be explain by its past prices.
Correlation Coefficient-0.34
Spearman Rank Test-0.37
Residual Average0.0
Price Variance1.68

Twitter lagged returns against current returns

Autocorrelation, which is Twitter 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 Twitter's stock expected returns. We can calculate the autocorrelation of Twitter returns to help us make a trade decision. For example, suppose you find that Twitter stock 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 stock movement to match the lagging time series.
   Current and Lagged Values   
Share
       Timeline  

Twitter 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 Twitter stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Twitter stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Twitter stock over time.
   Current vs Lagged Prices   
Share
       Timeline  

Twitter Lagged Returns

When evaluating Twitter's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Twitter stock have on its future price. Twitter 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, Twitter autocorrelation shows the relationship between Twitter stock current value and its past values and can show if there is a momentum factor associated with investing in Twitter.
   Regressed Prices   
Share
       Timeline  

Twitter Implied Volatility

    
  81.19  
Twitter's implied volatility exposes the market's sentiment of Twitter stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Twitter's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Twitter stock will not fluctuate a lot when Twitter's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Twitter in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Twitter's short interest history, or implied volatility extrapolated from Twitter options trading.

Currently Active Assets on Macroaxis

Additionally, take a look at Twitter Correlation, Twitter Volatility and Twitter Alpha and Beta module to complement your research on Twitter. You can also try Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.

Complementary Tools for analysis

When running Twitter price analysis, check to measure Twitter'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 Twitter is operating at the current time. Most of Twitter's value examination focuses on studying past and present price action to predict the probability of Twitter's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Twitter's price. Additionally, you may evaluate how the addition of Twitter to your portfolios can decrease your overall portfolio volatility.
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Go
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Go
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Go
Analyst Recommendations
Analyst recommendations and target price estimates broken down by several categories
Go
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Go
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Go
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Go
Twitter 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 Twitter technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Twitter 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...