Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk PDF Download
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Author: Fahed Mostafa
Publisher: Springer
ISBN: 331951668X
Category : Technology & Engineering
Languages : en
Pages : 177
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Book Description
This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean that they can be applied to market-risk problems to overcome classic problems associated with statistical models.
Author: Fahed Mostafa
Publisher: Springer
ISBN: 331951668X
Category : Technology & Engineering
Languages : en
Pages : 177
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Book Description
This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean that they can be applied to market-risk problems to overcome classic problems associated with statistical models.
Author: Christian Dunis
Publisher: Routledge
ISBN: 1136195106
Category : Business & Economics
Languages : en
Pages : 236
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Book Description
Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment. The book is divided into five parts. The first part introduces the most important computational intelligence and financial trading concepts, while also presenting the most important methodologies from these different domains. The second part is devoted to the application of traditional computational intelligence techniques to the fields of financial forecasting and trading, and the third part explores the applications of artificial neural networks in these domains. The fourth part delves into novel evolutionary-based hybrid methodologies for trading and portfolio management, while the fifth part presents the applications of advanced computational intelligence modelling techniques in financial forecasting and trading. This volume will be useful for graduate and postgraduate students of finance, computational finance, financial engineering and computer science. Practitioners, traders and financial analysts will also benefit from this book.
Author: Julien Chevallier
Publisher: Routledge
ISBN: 1351669214
Category : Business & Economics
Languages : en
Pages : 426
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Book Description
This book provides an up-to-date series of advanced chapters on applied financial econometric techniques pertaining the various fields of commodities finance, mathematics & stochastics, international macroeconomics and financial econometrics. International Financial Markets: Volume I provides a key repository on the current state of knowledge, the latest debates and recent literature on international financial markets. Against the background of the "financialization of commodities" since the 2008 sub-primes crisis, section one contains recent contributions on commodity and financial markets, pushing the frontiers of applied econometrics techniques. The second section is devoted to exchange rate and current account dynamics in an environment characterized by large global imbalances. Part three examines the latest research in the field of meta-analysis in economics and finance. This book will be useful to students and researchers in applied econometrics; academics and students seeking convenient access to an unfamiliar area. It will also be of great interest established researchers seeking a single repository on the current state of knowledge, current debates and relevant literature.
Author: Miguel Botto-Tobar
Publisher: Springer Nature
ISBN: 3030320227
Category : Technology & Engineering
Languages : en
Pages : 557
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Book Description
This book constitutes the proceedings of the 1st International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019), held in Quito, Ecuador, on 29–31 May 2019, jointly organized by Universidad Tecnológica Israel, Universidad Técnica del Norte, and Instituto Tecnológico Superior Rumiñahui, and supported by SNOTRA. ICAETT 2019 brought together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Technology Trends Electronics Intelligent Systems Machine Vision Communication Security e-Learning e-Business e-Government and e-Participation
Author: Schiel, Carmen
Publisher: KIT Scientific Publishing
ISBN: 3731509253
Category : Business & Economics
Languages : en
Pages : 372
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Book Description
Author: Álvaro Rocha
Publisher: Springer Nature
ISBN: 3030962938
Category : Technology & Engineering
Languages : en
Pages : 715
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Book Description
This book is composed by the papers written in English and accepted for presentation and discussion at The 2022 International Conference on Information Technology & Systems (ICITS'22), held at Tecnológico de Costa Rica, in San Carlos, Costa Rica, between the 9th and the 11th of February 2022. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are: information and knowledge management; organizational models and information systems; software and systems modelling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education, and Media, Applied Technology and Communication.
Author: Cris Doloc
Publisher: John Wiley & Sons
ISBN: 1119550513
Category : Business & Economics
Languages : en
Pages : 313
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Book Description
“Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.
Author: Georgios Sermpinis
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Yat-Fai Lam
Publisher: Routledge
ISBN: 1317387252
Category : Business & Economics
Languages : en
Pages : 118
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Book Description
The book introduces how we can manage currency options with the Vanna-Volga method. It describes the underlying theories and applications of the Vanna-Volga method in managing currency options of a financial institution, conforming to the Basel III regulatory requirements which demand a high consistency between the valuation and market risk calculation methodologies of financial instruments. The book illustrates with technical details to shed understanding on the major applications, including valuation, volatility recovery, dynamic portfolio replication and value-at-risk. Those who study finance, risk management, quantitative finance or similar areas, as well as practitioners who wish to learn how to valuate, hedge and manage the market risk of currency options with more advanced models and techniques will find the book of invaluable use.
Author: Kin Keung Lai
Publisher: Routledge
ISBN: 1135006997
Category : Business & Economics
Languages : en
Pages : 102
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Book Description
This book provides different financial models based on options to predict underlying asset price and design the risk hedging strategies. Authors of the book have made theoretical innovation to these models to enable the models to be applicable to real market. The book also introduces risk management and hedging strategies based on different criterions. These strategies provide practical guide for real option trading. This book studies the classical stochastic volatility and deterministic volatility models. For the former, the classical Heston model is integrated with volatility term structure. The correlation of Heston model is considered to be variable. For the latter, the local volatility model is improved from experience of financial practice. The improved local volatility surface is then used for price forecasting. VaR and CVaR are employed as standard criterions for risk management. The options trading strategies are also designed combining different types of options and they have been proven to be profitable in real market. This book is a combination of theory and practice. Users will find the applications of these financial models in real market to be effective and efficient.
