Meta Platforms,'s 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 28725.00 as of the 28th of December 2024, a 2.63% down since the beginning of the trading day. The stock's open price was 29500.0. 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 Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Meta
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,'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 Meta Platforms,.
0.00
11/28/2024
No Change 0.00
0.0
In 31 days
12/28/2024
0.00
If you would invest 0.00 in Meta Platforms, on November 28, 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, 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,'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 Meta Platforms, upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Meta Platforms,'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Meta Platforms,'s standard deviation. In reality, there are many statistical measures that can use Meta Platforms, historical prices to predict the future Meta Platforms,'s volatility.
Meta Platforms, has Sharpe Ratio of -0.0167, which conveys that the firm had a -0.0167% return per unit of risk over the last 3 months. Meta Platforms, exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Meta Platforms,'s Downside Deviation of 1.86, risk adjusted performance of 0.0378, and Mean Deviation of 1.36 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.23, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Meta Platforms,'s 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. At this point, Meta Platforms, has a negative expected return of -0.0301%. Please make sure to verify Meta Platforms,'s maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to decide if Meta Platforms, performance from the past will be repeated at some point in the near future.
Auto-correlation
0.08
Virtually no predictability
Meta Platforms, has virtually no predictability. Overlapping area represents the amount of predictability between Meta Platforms, time series from 28th of November 2024 to 13th of December 2024 and 13th of December 2024 to 28th 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 0.08 indicates that barely 8.0% of current Meta Platforms, price fluctuation can be explain by its past prices.
Correlation Coefficient
0.08
Spearman Rank Test
0.06
Residual Average
0.0
Price Variance
272.4 K
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,'s 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,'s 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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