Mathematical Finance: Introduction to continuous time financial market models
by Christian-Oliver Ewald
Publisher: Social Science Electronic Publishing 2007
Number of pages: 129
These are the lecture notes for a course in continuous time finance. Contents: stochastic processes in continuous time, financial market theory, stochastic integration, explicit financial market models, and portfolio optimization.
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by Peter Dybdahl Hede - BookBoon
Behavioural finance, with its emphasis on the numerous biases and heuristics, puts a human face on the financial markets, recognizing that market participants are subject to biases that have predictable effects on prices.
by Alexander Vervuurt - arXiv
Stochastic Portfolio Theory is a framework in which the normative assumptions from classical financial mathematics are not made, but in which one takes a descriptive approach to studying properties of markets that follow from empirical observations.
by Robert Alan Hill - BookBoon
The book evaluates Modern Portfolio Theory for future study. We learn why anybody with the software and a reasonable financial education can model portfolios. We learn why investors and not their computers should always interpret their results.
by Henk van Elst - arXiv
These lecture notes provide a self-contained introduction to the mathematical methods required in a Bachelor degree programme in Business, Economics, or Management. A special focus is set on applications in quantitative economical modelling.