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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.
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 models with long-tailed distributions and volatility clustering have been introduced to overcome problems with the realism of classical financial models. These classical models of financial time series typically assume homoskedasticity and normality and as such cannot explain stylized phenomena such as skewness, heavy tails, and volatility clustering of the empirical asset returns in ...
Cheyette model; Cointegration; Complete market; Compound annual growth rate; Compound interest; Computational finance; Consistent pricing process; Consumer math; Continuous-repayment mortgage; Convexity (finance) Convexity correction; Correlation swap; Counterparty credit risk; Crank–Nicolson method; Credit card interest; Credit valuation ...
Pages in category "Financial models" The following 89 pages are in this category, out of 89 total. This list may not reflect recent changes. A. Adjusted present value;
Discretized models of this type are built – at least implicitly – using state-prices ; relatedly, a large number of researchers have used options to extract state-prices for a variety of other applications in financial economics. [6] [45] [22] For path dependent derivatives, Monte Carlo methods for option pricing are employed; here the ...
In mathematical finance, the Cox–Ingersoll–Ross (CIR) model describes the evolution of interest rates. It is a type of "one factor model" (short-rate model) as it describes interest rate movements as driven by only one source of market risk. The model can be used in the valuation of interest rate derivatives.
In mathematical finance, multiple factor models are asset pricing models that can be used to estimate the discount rate for the valuation of financial assets; they may in turn be used to manage portfolio risk. They are generally extensions of the single-factor capital asset pricing model (CAPM).