Mathematical finance Totally Explained

Everything about Financial Mathematics totally explained

Mathematical finance is the branch of applied mathematics concerned with the financial markets. The subject has a close relationship with the discipline of financial economics, which is concerned with much of the underlying theory. Generally, mathematical finance will derive, and extend, the mathematical or numerical models suggested by financial economics. 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 fair value of derivatives of the stock.
   In terms of practice, mathematical finance also overlaps heavily with the field of computational finance (also known as financial engineering). Arguably, these are largely synonymous, although the latter focuses on application, while the former focuses on modeling and derivation; see Quantitative analyst.
   The fundamental theorem of arbitrage pricing is one of the key theorems in mathematical finance.
   Many universities around the world now offer degree and research programs in mathematical finance.

Mathematical finance articles

Mathematical tools

Derivatives pricing

Rational pricing assumptions

Risk neutral valuation
Arbitrage-free pricing

Futures

Futures contract pricing

Options

Put–call parity (Arbitrage relationships for options)
Intrinsic value, Time value
Moneyness
Pricing models
Optimal stopping (Pricing of American options)

Interest rate derivatives

Further Information

Get more info on 'Financial Mathematics'.

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