by Peter Dybdahl Hede
Publisher: BookBoon 2012
Number of pages: 65
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.
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by Bernt Arne Ødegaard
Useful examples and algorithms for people working within the field of finance. Typical examples are option/derivatives pricing, term structure calculations, mean variance analysis. The author made C++ subroutines that implements common algorithms.
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 M. Khoshnevisan, at al. - American Research Press
The purpose of this book is to postulate some theories and test them numerically. It is designed for graduates and researchers who are active in the area of estimation and data sampling applied in financial survey modeling and applied statistics.
by Zura Kakushadze - arXiv
These are the lecture notes for an advanced Ph.D. level course, primarily focused on an introduction to stochastic calculus and derivative pricing with various stochastic computations recast in the language of path integral, which is used in physics.