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Various financial features of each person are given. 690 Text Classification 1994 [417] H. Hofmann Bank Marketing Dataset Data from a large marketing campaign carried out by a large bank . Many attributes of the clients contacted are given. If the client subscribed to the bank is also given. 45,211 Text Classification 2012 [418] [419] S. Moro ...
Financial econometrics is the application of statistical methods to financial market data. [1] Financial econometrics is a branch of financial economics, in the field of economics. Areas of study include capital markets, [2] financial institutions, corporate finance and corporate governance. Topics often revolve around asset valuation of ...
Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. [1] This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project , or any other investment.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. Calibration can mean a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; [1]
For the components / steps of business modeling here, see Outline of finance § Financial modeling. Arguably, the key aspect of preparing a financial forecast is predicting revenue ; future costs, fixed and variable , as well as capital, can then be estimated as a function of sales via "common-sized analysis" - where relationships are derived ...
Financial risk modeling is the use of formal mathematical and econometric techniques to measure, monitor and control the market risk, credit risk, and operational risk on a firm's balance sheet, on a bank's accounting ledger of tradeable financial assets, or of a fund manager's portfolio value; see Financial risk management.
The objective of these models is to assess the possibility that a unit in another sample will display the same pattern. Predictive model solutions can be considered a type of data mining technology. The models can analyze both historical and current data and generate a model in order to predict potential future outcomes. [14]