Financial Engineering

Real-Estate Derivatives: From Econometrics to Financial Engineering  eBooks & eLearning

Posted by arundhati at June 26, 2017
Real-Estate Derivatives: From Econometrics to Financial Engineering

Radu S. Tunaru , "Real-Estate Derivatives: From Econometrics to Financial Engineering"
2017 | ISBN-10: 0198742924 | 336 pages | PDF | 3 MB
Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics (repost)

Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics by Paolo Brandimarte
English | 2014 | ISBN: 0470531118 | ISBN-13: 9780470531112 | 688 pages | PDF | 29,3 MB

Financial Engineering: The Evolution of a Profession (repost)  eBooks & eLearning

Posted by libr at April 29, 2017
Financial Engineering: The Evolution of a Profession (repost)

Financial Engineering: The Evolution of a Profession by Tanya S. Beder and Cara M. Marshall
English | ISBN: 0470455810 | 2011 | PDF | 616 pages | 7,3 MB

Statistical Methods for Financial Engineering (repost)  eBooks & eLearning

Posted by libr at April 25, 2017
Statistical Methods for Financial Engineering (repost)

Statistical Methods for Financial Engineering by Bruno Remillard
English | 2013 | ISBN: 143985694X | ISBN-13: 9781439856949 | 496 pages | PDF | 3,8 MB
Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification (repost)

Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification by Antonios K. Alexandridis and Achilleas D. Zapranis
English | 2014 | ISBN: 1118592522 | ISBN-13: 9781118592526 | 264 pages | PDF | 5,3 MB

State-Space Approaches for Modelling and Control in Financial Engineering  eBooks & eLearning

Posted by arundhati at April 6, 2017
State-Space Approaches for Modelling and Control in Financial Engineering

Gerasimos G. Rigatos, "State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods"
2017 | ISBN-10: 3319528653 | 310 pages | PDF | 13 MB
Recent Advances In Financial Engineering 2014 - Proceedings Of The Tmu Finance Workshop 2014

Recent Advances In Financial Engineering 2014 -
Proceedings Of The Tmu Finance Workshop 2014

by Masaaki Kijima and Yukio Muromachi
English | 2016 | ISBN: 9814730769 | 237 Pages | PDF | 5 MB

This book is based on papers presented at the 2014 workshop held in Tokyo, on 6-7 November, 2014.

Statistical Inference for Financial Engineering [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Feb. 13, 2017
Statistical Inference for Financial Engineering [Repost]

Masanobu Taniguchi, Tomoyuki Amano, Hiroaki Ogata, Hiroyuki Taniai - Statistical Inference for Financial Engineering
Published: 2014-04-30 | ISBN: 3319034960 | PDF | 118 pages | 2.54 MB
Engineering Mathematics I: Electromagnetics, Fluid Mechanics, Material Physics and Financial Engineering

Engineering Mathematics I: Electromagnetics, Fluid Mechanics, Material Physics and Financial Engineering (Springer Proceedings in Mathematics & Statistics) by Sergei Silvestrov, Milica Rančić
2016 | ISBN: 331942081X | English | 341 pages | PDF | 12 MB
Practical Methods of Financial Engineering and Risk Management Tools for Modern Financial Professionals

Practical Methods of Financial Engineering and Risk Management : Tools for Modern Financial Professionals By Rupak Chatterjee
English | EPUB | 2014 | 357 Pages | ISBN : 1430261331 | 13.97 MB

Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need for statistical tools adequate to measure and anticipate the amplitude of potential swings in the financial markets—from ordinary stock price and interest rate moves, to defaults, to those increasingly frequent "rare events" fashionably called black swan events. Yet many on Wall Street continue to rely on standard models based on artificially simplified assumptions that can lead to systematic (and sometimes catastrophic) underestimation of real risks.