Meta Platforms Stock Market Value
| META Stock | USD 612.77 1.47 0.24% |
| Symbol | Meta |
Meta Platforms Price To Book Ratio
Is Interactive Media & Services 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 Meta Platforms. If investors know Meta 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 Meta Platforms 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 0.374 | Dividend Share 1.5 | Earnings Share 20.97 | Revenue Per Share | Quarterly Revenue Growth 0.189 |
The market value of Meta Platforms is measured differently than its book value, which is the value of Meta that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Platforms' value that differs from its market value or its book value, called intrinsic value, which is Meta Platforms' 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 Meta Platforms' market value can be influenced by many factors that don't directly affect Meta Platforms' 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 Meta Platforms' value and its price as these two are different measures arrived at by different means. Investors typically determine if Meta Platforms is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Platforms' 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.
Meta Platforms '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 Meta Platforms' 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 Meta Platforms.
| 10/20/2024 |
| 01/18/2025 |
If you would invest 0.00 in Meta Platforms on October 20, 2024 and sell it all today you would earn a total of 0.00 from holding Meta Platforms or generate 0.0% return on investment in Meta Platforms over 90 days. Meta Platforms is related to or competes with Alphabet, Twilio, Snap, Baidu, Alphabet, Pinterest, and Tencent Holdings. Meta Platforms, Inc. develops products that enable people to connect and share with friends and family through mobile de... More
Meta Platforms 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 Meta Platforms' 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 Meta Platforms upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.63 | |||
| Information Ratio | 0.0361 | |||
| Maximum Drawdown | 7.43 | |||
| Value At Risk | (3.15) | |||
| Potential Upside | 3.43 |
Meta Platforms Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Meta Platforms' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Meta Platforms' standard deviation. In reality, there are many statistical measures that can use Meta Platforms historical prices to predict the future Meta Platforms' volatility.| Risk Adjusted Performance | 0.0385 | |||
| Jensen Alpha | 0.0617 | |||
| Total Risk Alpha | 0.068 | |||
| Sortino Ratio | 0.0394 | |||
| Treynor Ratio | 0.2035 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Meta Platforms' 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.
Meta Platforms Backtested Returns
At this point, Meta Platforms is very steady. Meta Platforms has Sharpe Ratio of 0.0664, which conveys that the firm had a 0.0664% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Meta Platforms, which you can use to evaluate the volatility of the firm. Please verify Meta Platforms' Mean Deviation of 1.36, risk adjusted performance of 0.0385, and Downside Deviation of 1.63 to check out if the risk estimate we provide is consistent with the expected return of 0.12%. Meta Platforms has a performance score of 5 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.3, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Meta Platforms' returns are expected to increase less than the market. However, during the bear market, the loss of holding Meta Platforms is expected to be smaller as well. Meta Platforms right now secures a risk of 1.83%. Please verify Meta Platforms maximum drawdown, skewness, day typical price, as well as the relationship between the downside variance and daily balance of power , to decide if Meta Platforms will be following its current price movements.
Auto-correlation | -0.02 |
Very weak reverse predictability
Meta Platforms has very weak reverse predictability. Overlapping area represents the amount of predictability between Meta Platforms time series from 20th of October 2024 to 4th of December 2024 and 4th of December 2024 to 18th 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 Meta Platforms price movement. The serial correlation of -0.02 indicates that only 2.0% of current Meta Platforms price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 157.3 |
Meta Platforms lagged returns against current returns
Autocorrelation, which is Meta Platforms 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 Meta Platforms' stock expected returns. We can calculate the autocorrelation of Meta Platforms returns to help us make a trade decision. For example, suppose you find that Meta Platforms 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 |
Meta Platforms 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 Meta Platforms stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Meta Platforms stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Meta Platforms stock over time.
Current vs Lagged Prices |
| Timeline |
Meta Platforms Lagged Returns
When evaluating Meta Platforms' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Meta Platforms stock have on its future price. Meta Platforms 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, Meta Platforms autocorrelation shows the relationship between Meta Platforms stock current value and its past values and can show if there is a momentum factor associated with investing in Meta Platforms.
Regressed Prices |
| Timeline |
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Check out Meta Platforms Correlation, Meta Platforms Volatility and Meta Platforms Alpha and Beta module to complement your research on Meta Platforms. For information on how to trade Meta Stock refer to our How to Trade Meta Stock guide.You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Meta Platforms 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.