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  2. Smith–Wilson method - Wikipedia

    en.wikipedia.org/wiki/Smith–Wilson_method

    The Smith–Wilson method is a method for extrapolating forward rates. It is recommended by EIOPA to extrapolate interest rates. It was introduced in 2000 by A. Smith and T. Wilson for Bacon & Woodrow .

  3. 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.

  4. Forecasting - Wikipedia

    en.wikipedia.org/wiki/Forecasting

    There is no single right forecasting method to use. Selection of a method should be based on your objectives and your conditions (data etc.). [9] A good way to find a method is by visiting a selection tree. An example of a selection tree can be found here. [10] Forecasting has application in many situations:

  5. Technology forecasting - Wikipedia

    en.wikipedia.org/wiki/Technology_forecasting

    Thirdly, feasibility is a key element in technology forecasting. Forecasters should consider the cost and the level of difficulty of materialization of desires. For example, a computer-based approach “Pattern” is an expensive forecasting method which is not recommended to be used in cases of restricted funds. [2]

  6. Extrapolation - Wikipedia

    en.wikipedia.org/wiki/Extrapolation

    A sound choice of which extrapolation method to apply relies on a priori knowledge of the process that created the existing data points. Some experts have proposed the use of causal forces in the evaluation of extrapolation methods. [2] Crucial questions are, for example, if the data can be assumed to be continuous, smooth, possibly periodic, etc.

  7. Delphi method - Wikipedia

    en.wikipedia.org/wiki/Delphi_method

    Quantitative methods produced errors of 10–15%, and traditional unstructured forecast methods had errors of about 20%. (This is only one example; the overall accuracy of the technique is mixed.) The Delphi method has also been used as a tool to implement multi-stakeholder approaches for participative policy-making in developing countries.

  8. Demand forecasting - Wikipedia

    en.wikipedia.org/wiki/Demand_forecasting

    The type of model that is chosen to forecast demand depends on many different aspects such as the type of data obtained or the number of observations, etc. [10] In this stage it is important to define the type of variables that will be used to forecast demand. Regression analysis is the main statistical method for forecasting. There are many ...

  9. Financial forecast - Wikipedia

    en.wikipedia.org/wiki/Financial_forecast

    A financial forecast is an estimate of future financial outcomes for a company or project, usually applied in budgeting, capital budgeting and / or valuation. Depending on context, the term may also refer to listed company (quarterly) earnings guidance. For a country or economy, see Economic forecast.

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