China is now the second largest economy in the world, with an increasingly efficient and open financial system. Many firms, agents and financial institutions have realized the potential in making money in China. Financial Theory: Perspectives from China serves as a timely textbook providing a unique introduction to economics theory, with a focus on money, banking and financial systems, through examples based mainly on China's financial practices. It contains up-to-date developments of theory and practices, as well as various interesting stories on China's financial system. Topics such as financial institutions, capital markets, debt securities markets, mutual fund markets, money markets, foreign exchange and financial derivative markets are discussed in depth. Financial theories are supplemented with illustrations from China's money supply mechanism and monetary policy system, China's financial regulatory and supervision system, as well as China's financial system and how it has liberalized and opened up to the rest of the world. Readers will find detailed examinations of financial theories, exemplified and reinforced by the inclusion of different financial cases and phenomena, each intriguing in their own right. This book provides readers with a deeper understanding of China's financial practices, providing vital knowledge for investing in China and engaging businesses there. Undergraduate students in economics and finance and those keen on becoming a player in China's financial markets will no doubt find this volume useful and necessary.

The economists who began using statistics to analyze financial markets in the 1950s have been credited with revolutionizing the scholarship of investing and with inaugurating modern financial economics. By examining the work of economists who used statistics to analyze financial markets before 1950, Donald Stabile provides evidence about the forerunners of modern financial economics. In studying these predecessors, this innovative book reveals that, starting around 1900, there were economists in the United States who believed that changes in stock prices could be treated as a random variable to be analyzed with statistical methods, and who used early versions of the efficient markets theory to justify their belief. Although they did not call themselves Bayesians, the author explores how they adhered to a philosophy consistent with Bayesian statistics. A concluding epilogue considers the linkages between the forerunners of modern finance, its innovators and modern successors. An original work in the history of economic thought, Forerunners of Modern Financial Economics will be of great interest to both economists and historians interested in the development of statistical finance and economic thought, as well as to statisticians, financial analysts, and advanced undergraduate and graduate students studying financial economics.

Recent years have seen a surge of interest in the workings of financial institutions and financial markets beyond the discipline of economics, which has been accelerated by the financial crisis of the early twenty-first century. The Oxford Handbook of the Sociology of Finance brings together twenty-nine chapters, written by scholars of international repute from Europe, North America, and Asia, to provide comprehensive coverage on a variety of topics related to the role of finance in a globalized world, and its historical development. Topics include global institutions of modern finance, types of actors involved in financial transactions and supporting technologies, mortgage markets, rating agencies, and the role of financial economics. Particular attention is given to financial crises, which are discussed in a special section, as well as to alternative forms of finance, including Islamic finance and the rise of China. The Handbook will be an indispensable tool for academics, researchers, and students of contemporary finance and economic sociology, and will serve as a reference point for the expanding international community of scholars researching these areas from a broadly-defined sociological perspective.

The second edition of this authoritative textbook continues the tradition of providing clear and concise descriptions of the new and classic concepts in financial theory. The authors keep the theory accessible by requiring very little mathematical background. First edition published by Prentice-Hall in 2001- ISBN 0130174467.The second edition includes new structure emphasizing the distinction between the equilibrium and the arbitrage perspectives on valuation and pricing, as well as a new chapter on asset management for the long term investor."This book does admirably what it sets out to do - provide a bridge between MBA-level finance texts and PhD-level texts....many books claim to require little prior mathematical training, but this one actually does so. This book may be a good one for Ph.D students outside finance who need some basic training in financial theory or for those looking for a more user-friendly introduction to advanced theory. The exercises are very good." --Ian Gow, Student, Graduate School of Business, Stanford University - Completely updated edition of classic textbook that fills a gap between MBA level texts and PHD level texts - Focuses on clear explanations of key concepts and requires limited mathematical prerequisites - Updates includes new structure emphasizing the distinction between the equilibrium and the arbitrage perspectives on valuation and pricing, as well as a new chapter on asset management for the long term investor

This book provides an innovative, integrated, and methodical approach to understanding complex financial models, integrating topics usually presented separately into a comprehensive whole. The book brings together financial models and high-level mathematics, reviewing the mathematical background necessary for understanding these models organically and in context. It begins with underlying assumptions and progresses logically through increasingly complex models to operative conclusions. Readers who have mastered the material will gain the tools needed to put theory into practice and incorporate financial models into real-life investment, financial, and business scenarios.

This book is a volume in the Penn Press Anniversary Collection. To mark its 125th anniversary in 2015, the University of Pennsylvania Press rereleased more than 1,100 titles from Penn Press's distinguished backlist from 1899-1999 that had fallen out of print. Spanning an entire century, the Anniversary Collection offers peer-reviewed scholarship in a wide range of subject areas.

This book is devoted to the analysis of the three main financial crises that have marked this century: 2001 Argentina’s defaulting on its external debt, the American subprime crisis in 2008, and the current European debt crisis in Europe. The book pursues three major objectives: firstly, to accurately portray these three financial crises; secondly, to analyze what went wrong with mainstream economic theory, which was unable to foresee these types of economic turmoil; and thirdly, to review macroeconomic theory, re-evaluating Keynes’ original contribution to economic analysis and pointing out the need to rebuild macroeconomics with a view to studying economic illness rather than trying to prove the non-existence of economic problems.

Contemporary quantitative finance connects the abstract theory and the practical use of financial innovations, such as ultra-high-frequency trading and cryptocurrencies. It teaches students how to use cutting-edge computational techniques, mathematical tools, and statistical methodologies, with a focus on real-life applications. The textbook opens with chapters on financial markets, global finance, and financial crises, setting the subject in its historical and international context. It then examines key topics in modern quantitative finance, including asset pricing, exchange-traded funds, Monte Carlo simulations, options, alternative investments, artificial intelligence, and big data analytics in finance. Complex theory is condensed to intuition, with appendices presenting advanced mathematical or statistical techniques. Each chapter offers Excel-based implementations, conceptual questions, quantitative problems, and a research project, giving students ample opportunity to develop their skills. Clear chapter objectives, summaries, and key terms also support student learning. Digital supplements, including code and PowerPoint slides, are available for instructors. Assuming some prior financial education, this textbook is suited to upper-level undergraduate and postgraduate courses in quantitative finance, financial engineering, and derivatives.