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2. Cash flow forecasting - Wikipedia

   en.wikipedia.org/wiki/Cash_flow_forecasting

   Cash flow forecasting is the process of obtaining an estimate of a company's future cash levels, and its financial position more generally. [1] A cash flow forecast is a key financial management tool, both for large corporates, and for smaller entrepreneurial businesses. The forecast is typically based on anticipated payments and receivables.

3. FAME (database) - Wikipedia

   en.wikipedia.org/wiki/FAME_(database)

   FAME Desktop Add-in for Excel: FAME Desktop is an Excel add-in that supports the =FMD(expression, sd, ed,0, freq, orientation) and =FMS(expression, freq + date) formulas, just as the 4GL command prompt does. These formulas can be placed in Excel spreadsheets and are linked to FAME objects and analytics stored on a FAME server. Sample Excel ...

4. Exponential smoothing - Wikipedia

   en.wikipedia.org/wiki/Exponential_smoothing

   Exponential smoothing. Exponential smoothing or exponential moving average (EMA) is a rule of thumb technique for smoothing time series data using the exponential window function. Whereas in the simple moving average the past observations are weighted equally, exponential functions are used to assign exponentially decreasing weights over time.

5. Amazon finance chief blames weak sales forecast on ... - AOL

   www.aol.com/finance/amazon-finance-chief-blames...

   Amazon's revenue in the three months ended June 30 also came in slightly below expectations at $148 billion, though earnings were stronger than expected with net profit of $13.5 billion.

6. Amazon results beat estimates; revenue forecast misses - AOL

   www.aol.com/news/amazon-forecasts-quarterly...

   First-quarter sales increased 13% to $143.3 billion, higher than the $142.5 billion average according to LSEG data. Net income more than tripled to $10.4 billion in the first quarter. The company ...

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9. Autoregressive integrated moving average - Wikipedia

   en.wikipedia.org/wiki/Autoregressive_integrated...

   In statistics and econometrics, and in particular in time series analysis, an autoregressive integrated moving average ( ARIMA) model is a generalization of an autoregressive moving average (ARMA) model. To better comprehend the data or to forecast upcoming series points, both of these models are fitted to time series data.