Search results
Results from the WOW.Com Content Network
Monte Carlo methods are used in corporate finance and mathematical finance to value and analyze (complex) instruments, portfolios and investments by simulating the various sources of uncertainty affecting their value, and then determining the distribution of their value over the range of resultant outcomes.
In mathematical finance, a Monte Carlo option model uses Monte Carlo methods [Notes 1] to calculate the value of an option with multiple sources of uncertainty or with complicated features. [1] The first application to option pricing was by Phelim Boyle in 1977 (for European options ).
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.
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. Risk modeling is ...
The general structure of any financial model is standard: (i) input (ii) calculation algorithm (iii) output; see Financial forecast.While the output for a project finance model is more or less uniform, and the calculation is predetermined by accounting rules, the input is highly project-specific.
Capital asset pricing model; Carhart four-factor model; Carr–Madan formula; Chan–Karolyi–Longstaff–Sanders process; Chen model; Cheyette model; Constant elasticity of variance model; Consumption-based capital asset pricing model; Cox–Ingersoll–Ross model
Asset/liability modeling is an approach to examining pension risks and allows the sponsor to set informed policies for funding, benefit design and asset allocation. Asset/liability modeling goes beyond the traditional, asset-only analysis of the asset-allocation decision.
Simulation of Brownian Motion sample paths is an important tool in calculating the price of financial instruments under the risk-neutral measure. Computational finance is a branch of applied computer science that deals with problems of practical interest in finance . [ 1 ]