Meta Change In Cash from 2010 to 2026

META Stock   36.20  0.68  1.91%   
Meta CDR Change In Cash yearly trend continues to be very stable with very little volatility. Change In Cash is likely to drop to about 2.9 B. During the period from 2010 to 2026, Meta CDR Change In Cash quarterly data regression pattern had range of 28.5 B and standard deviation of  6,913,515,088. View All Fundamentals
 
Change In Cash  
First Reported
2010-12-31
Previous Quarter
B
Current Value
2.9 B
Quarterly Volatility
6.9 B
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Meta CDR financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Meta CDR's main balance sheet or income statement drivers, such as Tax Provision of 7.6 B, Interest Income of 782.5 M or Selling General Administrative of 18.4 B, as well as many indicators such as . Meta financial statements analysis is a perfect complement when working with Meta CDR Valuation or Volatility modules.
  
This module can also supplement various Meta CDR Technical models . Check out the analysis of Meta CDR Correlation against competitors.

Latest Meta CDR's Change In Cash Growth Pattern

Below is the plot of the Change In Cash of Meta CDR over the last few years. It is Meta CDR's Change In Cash historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Meta CDR's overall financial position and show how it may be relating to other accounts over time.
Change In Cash10 Years Trend
Slightly volatile
   Change In Cash   
       Timeline  

Meta Change In Cash Regression Statistics

Arithmetic Mean1,129,421,618
Coefficient Of Variation612.13
Mean Deviation3,668,174,239
Median(1,269,000,000)
Standard Deviation6,913,515,088
Sample Variance47796690.9T
Range28.5B
R-Value0.41
Mean Square Error42440243.1T
R-Squared0.17
Significance0.10
Slope560,425,711
Total Sum of Squares764747053.9T

Meta Change In Cash History

20262.9 B
2025B
20242.6 B
202327.2 B

About Meta CDR Financial Statements

Meta CDR investors utilize fundamental indicators, such as Change In Cash, to predict how Meta Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Change In CashB2.9 B

Pair Trading with Meta CDR

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 CDR 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 CDR will appreciate offsetting losses from the drop in the long position's value.

Moving together with Meta Stock

  1.0META Meta Platforms CDRPairCorr

Moving against Meta Stock

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The ability to find closely correlated positions to Meta CDR 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 CDR 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 CDR - 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 CDR to buy it.
The correlation of Meta CDR 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 CDR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta 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 CDR 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Meta Stock

Meta CDR 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 CDR security.