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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.
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.
A financial forecast is an estimate of future financial outcomes for a company or project, usually applied in budgeting, capital budgeting and / or valuation. Depending on context, the term may also refer to listed company (quarterly) earnings guidance. For a country or economy, see Economic forecast.
Fundamental analysis, in accounting and finance, is the analysis of a business's financial statements (usually to analyze the business's assets, liabilities, and earnings); health; [1] competitors and markets. It also considers the overall state of the economy and factors including interest rates, production, earnings, employment, GDP, housing ...
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 ...
Cash flow forecasting is the process of obtaining an estimate of a company's future cash levels, and its financial position more generally. [1] A cash flow forecast is a key financial management tool, both for large corporates, and for smaller entrepreneurial businesses. The forecast is typically based on anticipated payments and receivables.
Examples of RNN and TDNN are the Elman, Jordan, and Elman-Jordan networks. For stock prediction with ANNs, there are usually two approaches taken for forecasting different time horizons: independent and joint. The independent approach employs a single ANN for each time horizon, for example, 1-day, 2-day, or 5-day.
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
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