Advances in Financial Economics

Advances in Financial Economics PDF

Author: Kose John

Publisher: Emerald Group Publishing

Published: 2013-12-18

Total Pages: 250

ISBN-13: 1783501219

DOWNLOAD EBOOK →

Advances in Financial Economics Vol. 16 contains a set of empirical papers by a set of global scholars who examine corporate governance and market regulation from a variety of perspectives.

Advances in Financial Machine Learning

Advances in Financial Machine Learning PDF

Author: Marcos Lopez de Prado

Publisher: John Wiley & Sons

Published: 2018-01-23

Total Pages: 400

ISBN-13: 1119482119

DOWNLOAD EBOOK →

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Advances in Mathematical Finance

Advances in Mathematical Finance PDF

Author: Michael C. Fu

Publisher: Springer Science & Business Media

Published: 2007-06-22

Total Pages: 336

ISBN-13: 0817645454

DOWNLOAD EBOOK →

This self-contained volume brings together a collection of chapters by some of the most distinguished researchers and practitioners in the field of mathematical finance and financial engineering. Presenting state-of-the-art developments in theory and practice, the book has real-world applications to fixed income models, credit risk models, CDO pricing, tax rebates, tax arbitrage, and tax equilibrium. It is a valuable resource for graduate students, researchers, and practitioners in mathematical finance and financial engineering.

Financial Economics

Financial Economics PDF

Author: Antonio Mele

Publisher: MIT Press

Published: 2022-11-22

Total Pages: 1147

ISBN-13: 0262046849

DOWNLOAD EBOOK →

A comprehensive reference for financial economics, balancing theoretical explanations, empirical evidence, and the practical relevance of knowledge in the field. This volume offers a comprehensive, integrated treatment of financial economics, tracking the major milestones in the field and providing methodological tools. Doing so, it balances theoretical explanations, empirical evidence, and practical relevance. It illustrates nearly a century of theoretical advances with a vast array of models, showing how real phenomena (and, at times, market practice) have helped economists reformulate existing theories. Throughout, the book offers examples and solved problems that help readers understand the main lessons conveyed by the models analyzed. The book provides a unique and authoritative reference for the field of financial economics. Part I offers the foundations of the field, introducing asset evaluation, information problems in asset markets and corporate finance, and methods of statistical inference. Part II explains the main empirical facts and the challenges these pose for financial economists, which include excess price volatility, market liquidity, market dysfunctionalities, and the countercyclical behavior of market volatility. Part III covers the main instruments that protect institutions against the volatilities and uncertainties of capital markets described in part II. Doing so, it relies on models that have become the market standard, and incorporates practices that emerged from the 2007–2008 financial crisis.

Advances in Pacific Basin Business, Economics and Finance

Advances in Pacific Basin Business, Economics and Finance PDF

Author: Cheng-Few Lee

Publisher: Emerald Group Publishing

Published: 2017-09-29

Total Pages: 223

ISBN-13: 1787434109

DOWNLOAD EBOOK →

Advances in Pacific Basin Business, Economics, and Finance is an annual publication designed to focus on interdisciplinary research in finance, economics, and management. It particularly emphasizes the economic, financial, and management relationships among Pacific Rim countries.

Advances in Finance & Applied Economics

Advances in Finance & Applied Economics PDF

Author: N.R. Bhanumurthy

Publisher: Springer

Published: 2018-10-31

Total Pages: 316

ISBN-13: 9789811316951

DOWNLOAD EBOOK →

​Discussing a wide range of topics of contemporary relevance from the domain of finance and economics, this book presents a collection of twenty-four research papers, which were selected on the basis of their topicality, the novelty of their methods, and the importance of their subject matter. All papers pursue an empirical approach to address key research issues, and are categorized into three major parts. Part one includes papers related to development economics and environmental economics. The second part focuses on monetary economics, public economics, and behavioral economics, while the third tackles issues concerning corporate finance and financial risk management. Bringing together works of scholars from around the world, the book presents a truly global perspective, and not only serves as an essential guide on the topic for researchers, but also has a distinctive role to play in policymaking.

Advances in Finance & Applied Economics

Advances in Finance & Applied Economics PDF

Author: N.R. Bhanumurthy

Publisher: Springer

Published: 2018-09-27

Total Pages: 316

ISBN-13: 9811316961

DOWNLOAD EBOOK →

​Discussing a wide range of topics of contemporary relevance from the domain of finance and economics, this book presents a collection of twenty-four research papers, which were selected on the basis of their topicality, the novelty of their methods, and the importance of their subject matter. All papers pursue an empirical approach to address key research issues, and are categorized into three major parts. Part one includes papers related to development economics and environmental economics. The second part focuses on monetary economics, public economics, and behavioral economics, while the third tackles issues concerning corporate finance and financial risk management. Bringing together works of scholars from around the world, the book presents a truly global perspective, and not only serves as an essential guide on the topic for researchers, but also has a distinctive role to play in policymaking.

Advances in Financial Machine Learning

Advances in Financial Machine Learning PDF

Author: Marcos Lopez de Prado

Publisher: John Wiley & Sons

Published: 2018-02-21

Total Pages: 406

ISBN-13: 1119482089

DOWNLOAD EBOOK →

Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.