This dissertation is a reaction to the public policy failures that culminated in, prolonged, and exacerbated the 2008 financial crisis in the United States. Between the winter of 2007 and the summer of 2009, the US private economy contracted severely. As of the summer of 2014, after a five-year recovery period, employment losses have been restored, but employment growth has not returned the US to its pre-crisis trend. This outcome is not the effect of a transient deviation that regularly happens as the economy moves through the business cycle; nor should the troubles in the US financial sector appear historically anomalous. The world's premier capitalist economy is prone to bouts of financial dysfunction. This feature is not simply a matter of the irrational exuberance of its investors, the euphoria of its speculators, or the folly of its bankers. I argue here that political-economic choices structure the distribution of financial crises at multiple scales. Broadly speaking, I find that the effects of financial crises on growth are uneven, affected by institutional structure, and carry important ramifications for the direction of change in the provision of financial services and its regulatory system. The thesis features four empirical chapters. In the first, I perform an econometric analysis of the effects of a wide variety of financial crises on employment growth by economic sector, for a sample of countries over a thirty-year period. The final three chapters are a case study of the US experience with the 2008 banking crisis and asset market crash, focusing on the role of the banking regulatory system in allocating losses over territory, on the economic performance of metropolitan areas, and on the distribution of losses within the financial sector in two major financial centers, Los Angeles and San Francisco. I reach my conclusions by using standard methodological tools within the sub-field of economic-geography and conceptual insights from the sub-field of financial-geography.

by Chan Wing Tai, Chu Yee Wah, Yewa. / Thesis (M.B.A.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 77-80). / Abstract --- p.2 / Chapter Chapter I --- Introduction --- p.3 / Chapter Chapter II --- Literature Review & Methodology / Literature Review --- p.5 / Methodology --- p.6 / Chapter Chapter III --- Asian Financial Crisis / Causes of Crisis --- p.7 / Economic Impacts of the Crisis --- p.9 / Lessons for the Affected Economies --- p.11 / Lessons for Non-affected Economies --- p.12 / The Asian Economy --- p.13 / Impacts of Asian Financial Crisis on Countries --- p.16 / Chapter Chapter IV --- Mutual Fund and Asia Crisis / Introduction to Mutual Fund --- p.24 / Regional Economic Environment after Crisis --- p.25 / Asset Allocation of Mutual Fund --- p.37 / Impacts of Asian Financial Crisis on Mutual Fund --- p.44 / Mutual Fund Facts Before and After Crisis --- p.50 / Mutual Fund Performance Before and After Crisis --- p.54 / Asian Markets Outlook --- p.62 / Perspective in Asia Pacific Funds --- p.66 / Recommendation & Conclusion --- p.68 / Appendix --- p.70 / Bibliography --- p.77

Ch. 1. Factor-augmented VAR analysis of the monetary policy in China -- Ch. 2. The time-varying volatillity of Chinese macroeconomic fluctuations. / Leung, Pak Ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references. / Abstracts in English and Chinese. / COVER PAGE --- p.1 / ACKNOWLEDGEMENT --- p.2 / TABLE OF CONTENTS --- p.4 / LIST OF FIGURES AND TABLES --- p.6 / ABSTRACT OF CHAPTER I --- p.9 / Chapter 1. --- INTRODUCTION --- p.11 / Chapter 2. --- FEATURES OF POST-CRISIS CHINESE MONETARY POLICY --- p.13 / Chapter 2.1. --- LIBERALIZATION OF CHINA'S MONETARY POLICY IN RECENT YEARS --- p.14 / Chapter 2.2. --- MONETARY POLICY INSTRUMENTS AND TRANSMISSION MECHANISMS --- p.14 / Chapter 2.3. --- EXCHANGE RATE REFORM AND MONETARY POLICY --- p.17 / Chapter 2.4. --- EFFECTS OF MONETARY POLICY ON INDUSTRIAL PRODUCTION AND INFLATION --- p.18 / Chapter 3. --- METHODOLOGY --- p.20 / Chapter 4. --- DATA DESCRIPTION --- p.22 / Chapter 5. --- EMPIRICAL RESULTS --- p.23 / Chapter 5.1 . --- ESTIMATION OF FAVAR WITH REPO RATE AS INSTRUMENT --- p.24 / Chapter 5.2. --- ESTIMATION OF FAVAR WITH BENCHMARK RATE AS INSTRUMENT --- p.25 / Chapter 5.3. --- ESTIMATION OF FAVAR WITH MONETARY FACTOR AS INSTRUMENT --- p.26 / Chapter 5.4. --- ESTIMATION OF FAVAR WITH TOTAL LOAN AS INSTRUMENT --- p.27 / Chapter 5.5. --- ESTIMATION OF FAVAR WITH M2 AS INSTRUMENT --- p.28 / Chapter 5.6. --- POLICY DISCUSSION --- p.29 / Chapter 6. --- CONCLUSIO N --- p.31 / Chapter 7. --- REFERENCE S --- p.32 / Chapter 8. --- APPENDIX --- p.36 / ABSTRACT OF CHAPTER II --- p.60 / Chapter 1. --- INTRODUCTION --- p.62 / Chapter 2. --- OVERVIEW OF CHINESE ECONOMIC PERFORMANCE --- p.64 / Chapter 2.1. --- VOLATILITY OF THE CHINESE MACROECONOMY --- p.64 / Chapter 2.2. --- TESTS OF PARAMETER STABILITY --- p.66 / Chapter 2.2. --- HYPOTHESIS OF ECONOMIC MODERATION --- p.67 / Chapter 3. --- FREQUENCY DOMAIN ANALYSIS --- p.69 / Chapter 3.1 --- ESTIMATION FRAMEWORK --- p.70 / Chapter 3.2. --- ESTIMATION RESULTS --- p.72 / Chapter 4. --- VECTOR AUTOREGRESSION ANALYSIS --- p.75 / Chapter 4.1 --- ESTIMATION RESULTS --- p.70 / Chapter 5. --- CONCLUSION --- p.78 / Chapter 6. --- REFERENCES --- p.80 / Chapter 7. --- APPENDIX --- p.84

Thesis (Ph. D.)--American University, 2003. / Includes bibliographical references (leaves 267-272).

Thesis (Ph. D.)--University of Pennsylvania, 2004. / Includes bibliographical references (leaves 397-427).

Thesis (Ph. D.)--Vanderbilt University, 2005. / Includes bibliographical references (leaves 111-117).

Thesis (Ph. D.)--Queen's University, Kingston, Ontario, 2006. / Includes bibliographical references (leaves 367-394).

This dissertation is concerned with international financial crisis response and the role that formal and informal international institutions play in this process. It is about understanding the potential of and limits to international crisis governance. It tries to answer three interrelated questions. First, what are the mechanics of international crisis lending? Second, what role can international institutions play in effectively distributing information so that policy responses can be optimized? Finally, what crisis governance structures are best suited to economic and political circumstances of the global financial system? In order to address these questions this dissertation uses a combination of formal (game theory) and informal theory building. It then examines these theoretical arguments using an empirical analysis based on historical survey of crisis response since the late nineteenth century and a comparative case study of crisis management during the Great Depression (1930-31) and the Asian Financial Crisis (1997-98). With regard to the first question, it argues that crisis lending is not simply shaped by the interaction of crisis lenders and borrowers. Ultimately, the terms of a crisis loan are negotiated in a space whose limits are determined by two additional actors: international investors/speculators and domestic political opposition. With regard to the second, it argues that both formal and informal international institutions play an important role in disseminating information and thus policy adaptation and change. However, there are clear limits to what institutions can do. In practice, this means that the goal of creating a crisis-free system is impossible. Finally, with regard to the broad question of crisis governance, it argues that the most effective financial governance system is one build around a partnership between a concert of key financial powers and an international financial institution dedicated to maintaining stability in the financial system.

published_or_final_version / Business Administration / Master / Master of Business Administration

Ph.D. / This thesis investigates the impact of domestic and foreign financial crises on volatility dynamics in South Africa. In a sample ranging from January 1994 to March 2009, Chapter 2 provides empirical support for the theory that domestic currency crises are associated with significant structural changes in daily exchange rate volatility. Speciacally, crisis periods coincide with large positive shifts in unconditional variance. Using this fact, we propose a new method - the structural change generalised conditional heteroskedasticity, or SC-GARCH, model - for identifying precise start- and end-dates for crises. Chapter 3 studies volatility transmission within SA from October 1996 to June 2010. Using a generalised version of the vector autoregressive (VAR) approach, time-varying and bidirectional volatility spillover indices are esti- mated for domestic currency, bond and equity markets. The results identify equities as the primary source of volatility transfer to other asset classes. At di erent points in time, spillovers are responsible for anywhere between 7.5 and 65 percent of system-wide volatility. Local maxima in spillover magni- tudes are estimated during domestic, as well as foreign crisis periods. Chapter 4 estimates time-varying comovement between SA and world volatilities during the period from 1994 to 2008. A dynamic factor model (FM) is used to extract three latent global volatility factors from a data panel which is representative of the world equity market portfolio. Relative to most other emerging markets, the global factors are poor predictors of volatility in SA. However, SA's comovement with global volatility increases sharply in response to emerging market crises in Asia (1997-8) and Russia (1998). The global factors are also important determinants of domestic volatility during the latter stages of the US subprime crisis (2007-8). Chapter 5 proposes the factor-augmented VAR as a parsimonious model for the transmission of foreign volatility shocks to SA equities. We compare international volatility transmission resulting from crises in Asia (1997-8) and the US (2007-8). Although the US crisis has a larger impact on the world equity market, the Asian shock leads to more dramatic increases in volatility in emerging economies, including SA.