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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
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.
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The profit model may represent actual data (c), planned data (p)or standard data (s) which is the actual sales quantities at the planned costs. The actual data model will be (using equation 8): π = p c *q c - [F c + (mμ c + lλ c + n c)q c] The planned data model will be (using equation 8): π = p p *q p - [F p + (mμ p + lλ p + n p)q p]
A macroeconomic model is an analytical tool designed to describe the operation of the problems of economy of a country or a region. These models are usually designed to examine the comparative statics and dynamics of aggregate quantities such as the total amount of goods and services produced, total income earned, the level of employment of productive resources, and the level of prices.
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.
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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.