Unique Skill ID: KS122V865MY9TDPVX257

Mathematical Finance

Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling of financial markets. Generally, mathematical finance will derive and extend the mathematical or numerical models without necessarily establishing a link to financial theory, taking observed market prices as input. Mathematical consistency is required, not compatibility with economic theory. Thus, for example, while a financial economist might study the structural reasons why a company may have a certain share price, a financial mathematician may take the share price as a given, and attempt to use stochastic calculus to obtain the corresponding value of derivatives of the stock. The fundamental theorem of arbitrage-free pricing is one of the key theorems in mathematical finance, while the Black–Scholes equation and formula are amongst the key results.

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Credit Risk Modeling
Current Expected Credit Losses (CECL)
Economic Capital
Financial Engineering
Loss Given Default
Model Validation
Quantitative Modeling
Risk Modeling
Stochastic Calculus
Value At Risk (VaR)

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