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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.
In time series analysis, a fan chart is a chart that joins a simple line chart for observed past data, by showing ranges for possible values of future data together with a line showing a central estimate or most likely value for the future outcomes. As predictions become increasingly uncertain the further into the future one goes, these ...
Market data requirements depend on the need for customization, latency sensitivity, and market depth. Customization: How much operational control a firm has over its market data infrastructure. Latency sensitivity: The measure of how important high-speed market data is to a trading strategy. Market depth: the volume of quotes in a market data ...
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.
In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. [1] As a type of active management , it stands in contradiction to much of modern portfolio theory .
In preparing economic forecasts a variety of information has been used in an attempt to increase the accuracy. Everything from macroeconomic, [2] microeconomic, [3] market data from the future, [4] machine-learning (artificial neural networks), [5] and human behavioral studies [6] have all been used to achieve better forecasts. Forecasts are ...
For example, sales for Firm A during quarter 1. This type of data encapsulates a variety of data points which resulted in the final data point. The subset of data points may not be observable or feasible to determine but can be a practical method for adding precision to the demand forecast model. [13]
Fundamental analysis is performed on historical and present data, but with the goal of making financial forecasts. There are several possible objectives: There are several possible objectives: to conduct a company stock valuation and predict its probable price evolution;