This is a unique insider account of the new world of unfettered finance. The author, an Asian regulator, examines how old mindsets, market fundamentalism, loose monetary policy, carry trade, lax supervision, greed, cronyism, and financial engineering caused both the Asian crisis of the late 1990s and the global crisis of 2008–9. This book shows how the Japanese zero interest rate policy to fight deflation helped create the carry trade that generated bubbles in Asia whose effects brought As...

An authoritative guide to the rise of Chinese shadow banking and its systemic implicationsShadow Banking in China examines this rapidly growing sector in the Chinese economy, and what it means for your investments. Written by two world-class experts in Chinese banking, including the Chief Advisor to the China Banking Regulatory Commission and former Chairman of the Securities and Futures Commission in Hong Kong, this book is unique in providing true, first...

With the target date for the Millennium Development Goals (MDGs) behind us, this book asks did they work? And what happens next? Arguing that to effectively look forward, we must first look back, the editors of this insightful book gather leading scholars and practitioners from a range of backgrounds and regions to provide an in-depth exploration of the MDG project and its impact.Contributors use region-specific case studies to explore the effectiveness of the MDGs in addressing th...

This book discusses an emerging field of decision science that focuses on business processes and systems used to extract knowledge from large volumes of data to provide significant insights for crucial decisions in critical situations. It presents studies employing computing techniques like machine learning, which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets, leadership, and team coordination. It also reveals the advantages of u...

This book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented...