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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.
One area where ACE methodology has frequently been applied is asset pricing. W. Brian Arthur, Eric Baum, William Brock, Cars Hommes, and Blake LeBaron, among others, have developed computational models in which many agents choose from a set of possible forecasting strategies in order to predict stock prices, which affects their asset demands and thus affects stock prices.
It provides courses and certifications in financial modeling, valuation, and other corporate finance topics. This includes the skills CFI deems important for modern finance - such as Microsoft Excel , presentation and visuals - as well as underlying knowledge of accounting and business strategy .
Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling in the financial field. In general, there exist two separate branches of finance that require advanced quantitative techniques: derivatives pricing on the one hand, and risk and portfolio ...
Financial analyst generally, and esp. § Qualification, discussing various investment, banking, and corporate roles (i.e. financial management, corporate finance, investment banking, securities analysis & valuation, portfolio & investment management, credit analysis, working capital & treasury management; see Financial modeling § Accounting)
In financial economics, asset pricing refers to a formal treatment and development of two interrelated pricing principles, [1] [2] outlined below, together with the resultant models. There have been many models developed for different situations, but correspondingly, these stem from either general equilibrium asset pricing or rational asset ...
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Historical simulation in finance's value at risk (VaR) analysis is a procedure for predicting the value at risk by 'simulating' or constructing the cumulative distribution function (CDF) of assets returns over time assuming that future returns will be directly sampled from past returns.