Meta Platforms Cdr Stock Market Value
| META Stock | 31.40 0.36 1.16% |
| 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' 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.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Meta Platforms on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Meta Platforms CDR or generate 0.0% return on investment in Meta Platforms over 30 days. Meta Platforms is related to or competes with Data Communications, Nova Leap, Bausch Health, Doman Building, NorthWest Healthcare, Cogeco Communications, and Andlauer Healthcare. Meta Platforms is entity of Canada. It is traded as Stock on NEO exchange. 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 CDR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.52 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 8.24 | |||
| Value At Risk | (2.81) | |||
| Potential Upside | 2.49 |
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 | 0.0417 | |||
| Jensen Alpha | 0.0496 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.642 |
Meta Platforms CDR Backtested Returns
At this point, Meta Platforms is very steady. Meta Platforms CDR has Sharpe Ratio of 0.1, which conveys that the firm had a 0.1% 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' Downside Deviation of 1.52, mean deviation of 1.06, and Risk Adjusted Performance of 0.0417 to check out if the risk estimate we provide is consistent with the expected return of 0.15%. Meta Platforms has a performance score of 7 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.0951, 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 CDR right now secures a risk of 1.51%. Please verify Meta Platforms CDR sortino ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Meta Platforms CDR will be following its current price movements.
Auto-correlation | 0.48 |
Average predictability
Meta Platforms CDR has average predictability. Overlapping area represents the amount of predictability between Meta Platforms time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Meta Platforms CDR price movement. The serial correlation of 0.48 indicates that about 48.0% of current Meta Platforms price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.37 |
Meta Platforms CDR 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 CDR.
Regressed Prices |
| Timeline |
Pair Trading with Meta Platforms
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Meta Platforms position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Meta Platforms will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Meta Platforms could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Meta Platforms when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Meta Platforms - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Meta Platforms CDR to buy it.
The correlation of Meta Platforms is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Meta Platforms moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta Platforms CDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Meta Platforms can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Meta Stock
Meta Platforms financial ratios help investors to determine whether Meta Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Meta with respect to the benefits of owning Meta Platforms security.