The Asian financial crisis of 1997-1998 was supposed to be the death knell for the developmental state. The International Monetary Fund supplied emergency funds for shattered economies but demanded ...that states liberalize financial markets and withdraw from direct involvement in the economy. Financial liberalization was meant to spell the end of strategic industry policy and the state-directed "policy lending" it involved. Yet, largely unremarked by analysts, South Korea has since seen a striking revival of financial activism. Policy lending by state-owned development banks has returned the state to the core of the financial system. Korean development banks now account for one quarter of all loans and take the lead in providing low-cost finance to local manufacturing firms in strategic industries.
Elizabeth Thurbon argues that an ideational analysis can help explain this renewed financial activism. She demonstrates the presence of a "developmental mindset" on the part of political leaders and policy elites in Korea. This mindset involves shared ways of thinking about the purpose of finance and its relationship to the productive economy. The developmental mindset has a long history in Korea but is subject to the vicissitudes of political and economic circumstances. Thurbon traces the structural, institutional, political, and ideational factors that have strengthened and at times weakened the developmental consensus, culminating in the revival of financial activism in Korea. In doing so, Thurbon offers a novel defense of the developmental state idea and a new framework for investigating the emergence and evolution of developmental states. She also canvasses the implications of the Korean experience for wider debates concerning the future of financial activism in an era of financialization, energy insecurity, and climate change.
Nominal yields on government debt in several countries have fallen very near their zero lower bound (ZLB), causing a liquidity trap and limiting the capacity to stimulate economic growth. This book ...provides a comprehensive reference to ZLB structure modeling in an applied setting.
Game-theoretic probability and finance come of ageGlenn Shafer and Vladimir Vovk’s Probability and Finance, published in 2001, showed that perfect-information games can be used to define mathematical ...probability. Based on fifteen years of further research, Game-Theoretic Foundations for Probability and Finance presents a mature view of the foundational role game theory can play. Its account of probability theory opens the way to new methods of prediction and testing and makes many statistical methods more transparent and widely usable. Its contributions to finance theory include purely game-theoretic accounts of Ito’s stochastic calculus, the capital asset pricing model, the equity premium, and portfolio theory.Game-Theoretic Foundations for Probability and Finance is a book of research. It is also a teaching resource. Each chapter is supplemented with carefully designed exercises and notes relating the new theory to its historical context.Praise from early readers“Ever since Kolmogorov's Grundbegriffe, the standard mathematical treatment of probability theory has been measure-theoretic. In this ground-breaking work, Shafer and Vovk give a game-theoretic foundation instead. While being just as rigorous, the game-theoretic approach allows for vast and useful generalizations of classical measure-theoretic results, while also giving rise to new, radical ideas for prediction, statistics and mathematical finance without stochastic assumptions. The authors set out their theory in great detail, resulting in what is definitely one of the most important books on the foundations of probability to have appeared in the last few decades.” – Peter Grünwald, CWI and University of Leiden“Shafer and Vovk have thoroughly re-written their 2001 book on the game-theoretic foundations for probability and for finance. They have included an account of the tremendous growth that has occurred since, in the game-theoretic and pathwise approaches to stochastic analysis and in their applications to continuous-time finance. This new book will undoubtedly spur a better understanding of the foundations of these very important fields, and we should all be grateful to its authors.” – Ioannis Karatzas, Columbia University
