Mathematics For Economics And Finance: Methods And Modelling

Mathematical Finance: Core Theory, Problems and Statistical Algorithms (Repost)  eBooks & eLearning

Posted by step778 at Dec. 19, 2015
Mathematical Finance: Core Theory, Problems and Statistical Algorithms (Repost)

Nikolai Dokuchaev, "Mathematical Finance: Core Theory, Problems and Statistical Algorithms"
2007 | pages: 192 | ISBN: 0415414482 | PDF | 6,5 mb

Recent Advances in Mathematical and Statistical Methods  eBooks & eLearning

Posted by roxul at Nov. 28, 2018
Recent Advances in Mathematical and Statistical Methods

D. Marc Kilgour and Herb Kunze, "Recent Advances in Mathematical and Statistical Methods"
English | ISBN: 3319997181 | 2018 | 662 pages | PDF, EPUB | 78 MB

Martingale Methods in Financial Modelling (Repost)  eBooks & eLearning

Posted by AvaxGenius at Jan. 3, 2021
Martingale Methods in Financial Modelling (Repost)

Martingale Methods in Financial Modelling by Marek Musiela
English | PDF | 2005 | 721 Pages | ISBN : 3540209662 | 6.8 MB

This book provides a comprehensive, self-contained and up-to-date treatment of the main topics in the theory of option pricing. The first part of the text starts with discrete-time models of financial markets, including the Cox-Ross-Rubinstein binomial model.

Mathematical Finance: Core Theory, Problems and Statistical Algorithms (Repost)  eBooks & eLearning

Posted by Grev27 at Oct. 29, 2012
Mathematical Finance: Core Theory, Problems and Statistical Algorithms (Repost)

Nikolai Dokuchaev, "Mathematical Finance: Core Theory, Problems and Statistical Algorithms"
English | ISBN: 0415414482 | 2007 | PDF | 192 pages | 6,5 mb

Applied Data Mining for Business and Industry, 2nd Edition  eBooks & eLearning

Posted by arundhati at Aug. 5, 2013
Applied Data Mining for Business and Industry, 2nd Edition

Paolo Giudici, Silvia Figini, "Applied Data Mining for Business and Industry, 2nd Edition"
2009 | ISBN-10: 0470058862 | 258 pages | PDF | 3,5 MB

Experimental Econophysics: Properties and Mechanisms of Laboratory Markets  eBooks & eLearning

Posted by Underaglassmoon at March 1, 2015
Experimental Econophysics: Properties and Mechanisms of Laboratory Markets

Experimental Econophysics: Properties and Mechanisms of Laboratory Markets
Springer | Economics, System Theory, Business & Finance | Aug. 5 2014 | ISBN-10: 3662442337 | 204 pages | pdf | 8.36 mb

Experimental Econophysics describes the method of controlled human experiments, which is developed by physicists to study some problems in economics or finance, namely, stylized facts, fluctuation phenomena, herd behavior, contrarian behavior, hedge behavior, cooperation, business cycles, partial information, risk management, and stock prediction.
Mastering Financial Mathematics in Microsoft Excel: A Practical Guide for Business Calculations [Repost]

Mastering Financial Mathematics in Microsoft Excel: A Practical Guide for Business Calculations by Alastair Day
English | September 18, 2005 | ISBN: 0273688669 | 368 pages | PDF | 6.72 Mb

Mathematical finance: core theory, problems and statistical algorithms  eBooks & eLearning

Posted by insetes at May 11, 2021
Mathematical finance: core theory, problems and statistical algorithms

Mathematical finance: core theory, problems and statistical algorithms By Nikolai Dokuchaev
2007 | 192 Pages | ISBN: 0203964721 | PDF | 7 MB

Robust Libor Modelling and Pricing of Derivative Products (Repost)  eBooks & eLearning

Posted by DZ123 at Feb. 4, 2017
Robust Libor Modelling and Pricing of Derivative Products (Repost)

John Schoenmakers, "Robust Libor Modelling and Pricing of Derivative Products"
English | 2005 | ISBN: 158488441X | PDF | pages: 214 | 1.4 mb

Applied Data Mining for Business and Industry, Second Edition  eBooks & eLearning

Posted by AvaxGenius at Jan. 5, 2020
Applied Data Mining for Business and Industry, Second Edition

Applied Data Mining for Business and Industry, Second Edition by Paolo Giudici
English | PDF | 2009 | 250 Pages | ISBN : 0470058862 | 3.57 MB

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications.