Meta Platforms (Germany) Market Value

FB2A Stock   575.50  7.80  1.34%   
Meta Platforms' market value is the price at which a share of Meta Platforms trades on a public exchange. It measures the collective expectations of Meta Platforms investors about its performance. Meta Platforms is trading at 575.50 as of the 20th of December 2024, a 1.34 percent decrease since the beginning of the trading day. The stock's lowest day price was 561.0.
With this module, you can estimate the performance of a buy and hold strategy of Meta Platforms and determine expected loss or profit from investing in Meta Platforms over a given investment horizon. 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.
Symbol

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.
0.00
11/20/2024
No Change 0.00  0.0 
In 31 days
12/20/2024
0.00
If you would invest  0.00  in Meta Platforms on November 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 30 days. Meta Platforms is related to or competes with Tencent Holdings, Superior Plus, SIVERS SEMICONDUCTORS, NorAm Drilling, Norsk Hydro, Reliance Steel, and RYOHIN UNSPADR1. 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.

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.
Hype
Prediction
LowEstimatedHigh
581.76583.30584.84
Details
Intrinsic
Valuation
LowRealHigh
524.97671.73673.27
Details
Naive
Forecast
LowNextHigh
579.84581.39582.93
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
512.00562.79613.58
Details

Meta Platforms Backtested Returns

Meta Platforms appears to be very steady, given 3 months investment horizon. Meta Platforms has Sharpe Ratio of 0.14, which conveys that the firm had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for Meta Platforms, which you can use to evaluate the volatility of the firm. Please exercise Meta Platforms' Mean Deviation of 1.18, downside deviation of 1.62, and Risk Adjusted Performance of 0.1287 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Meta Platforms holds a performance score of 11. The company secures a Beta (Market Risk) of 0.53, which conveys possible diversification benefits within a given portfolio. 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. Please check Meta Platforms' treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Meta Platforms' current price movements will revert.

Auto-correlation

    
  -0.11  

Insignificant reverse predictability

Meta Platforms has insignificant reverse predictability. Overlapping area represents the amount of predictability between Meta Platforms time series from 20th of November 2024 to 5th of December 2024 and 5th of December 2024 to 20th 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 Meta Platforms price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Meta Platforms price fluctuation can be explain by its past prices.
Correlation Coefficient-0.11
Spearman Rank Test0.2
Residual Average0.0
Price Variance87.45

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  

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.

Additional Information and Resources on Investing in Meta Stock

When determining whether Meta Platforms offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Meta Platforms' 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 Meta Platforms Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Meta Platforms Stock:
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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.
A focus of Meta Platforms technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Meta Platforms 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...