Problems And Solutions in Mathematical Finance

Problems and Solutions in Mathematical Finance: Stochastic Calculus [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Aug. 4, 2019
Problems and Solutions in Mathematical Finance: Stochastic Calculus [Repost]

Eric Chin, Sverrir Ólafsson, Dian Nel - Problems and Solutions in Mathematical Finance: Stochastic Calculus
Published: 2014-11-10 | ISBN: 1119965837 | PDF | 400 pages | 4.34 MB

Problems and Solutions in Mathematical Finance: Equity Derivatives, Volume 2  eBooks & eLearning

Posted by Underaglassmoon at Jan. 9, 2017
Problems and Solutions in Mathematical Finance: Equity Derivatives, Volume 2

Problems and Solutions in Mathematical Finance: Equity Derivatives, Volume 2
Wiley | English | February 2017 | ISBN-10: 1119965829 | 856 pages | PDF | 7.69 mb

By Eric Chin, Dian Nel, Sverrir Ólafsson
Detailed guidance on the mathematics behind equity derivatives
Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach (repost)

Guojun Gan, Chaoqun Ma), Hong Xie, "Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach"
2014 | ISBN-10: 1118831969 | 744 pages | PDF | 26 MB

Stochastic Processes and Calculus: An Elementary Introduction with Applications  eBooks & eLearning

Posted by AvaxGenius at April 2, 2023
Stochastic Processes and Calculus: An Elementary Introduction with Applications

Stochastic Processes and Calculus: An Elementary Introduction with Applications by Uwe Hassler
English | EPUB (True) | 2016 | 398 Pages | ISBN : 3319234277 | 4.64 MB

This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and economics, more specifically mathematical finance and time series econometrics. Over the past decades stochastic calculus and processes have gained great importance, because they play a decisive role in the modeling of financial markets and as a basis for modern time series econometrics. Mathematical theory is applied to solve stochastic differential equations and to derive limiting results for statistical inference on nonstationary processes.

Continuous-time Stochastic Control and Optimization with Financial Applications  eBooks & eLearning

Posted by arundhati at Oct. 29, 2019
Continuous-time Stochastic Control and Optimization with Financial Applications

Huyên Pham, "Continuous-time Stochastic Control and Optimization with Financial Applications "
English | ISBN: 3540894993 | 2009 | 232 pages | PDF | 3 MB

Recent Developments in Mathematical, Statistical and Computational Sciences  eBooks & eLearning

Posted by AvaxGenius at Sept. 8, 2022
Recent Developments in Mathematical, Statistical and Computational Sciences

Recent Developments in Mathematical, Statistical and Computational Sciences: The V AMMCS International Conference, Waterloo, Canada, August 18–23, 2019 by D. Marc Kilgour, Herb Kunze, Roman Makarov, Roderick Melnik, Xu Wang
English | EPUB | 2021 | 728 Pages | ISBN : 3030635902 | 85.5 MB

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences. It presents original solutions to real-world problems, emphasizes the coordinated development of theories and applications, and promotes interdisciplinary collaboration among mathematicians, statisticians, and researchers in other disciplines.

Mathematical Finance (Repost)  eBooks & eLearning

Posted by step778 at April 18, 2019
Mathematical Finance (Repost)

M. J. Alhabeeb, "Mathematical Finance"
2012 | pages: 556 | ISBN: 0470641843 | PDF | 2,7 mb
Probability and Statistical Models: Foundations for Problems in Reliability and Financial Mathematics (Repost)

Probability and Statistical Models: Foundations for Problems in Reliability and Financial Mathematics by Arjun K. Gupta
English | PDF | 2010 | 270 Pages | ISBN : 0817649867 | 1.7 MB

With an emphasis on models and techniques, this textbook introduces many of the fundamental concepts of stochastic modeling that are now a vital component of almost every scientific investigation. These models form the basis of well-known parametric lifetime distributions such as exponential, Weibull, and gamma distributions, as well as change-point and mixture models.

Derivative Securities and Difference Methods  eBooks & eLearning

Posted by insetes at Feb. 4, 2019
Derivative Securities and Difference Methods

Derivative Securities and Difference Methods By You-lan Zhu, Xiaonan Wu, I-Liang Chern, Zhi-zhong Sun (auth.)
2013 | 647 Pages | ISBN: 1461473055 | PDF | 13 MB

Mathematical Statistics for Economics and Business  eBooks & eLearning

Posted by AvaxGenius at Oct. 20, 2022
Mathematical Statistics for Economics and Business

Mathematical Statistics for Economics and Business by Ron C. Mittelhammer
English | PDF(True) | 2013 | 763 Pages | ISBN : 1461450217 | 7.98 MB

Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new edition has been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems.