The Volatility Machine - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Volatility Machine write by Michael Pettis. This book was released on 2001. The Volatility Machine available in PDF, EPUB and Kindle. This book presents a radically different argument for what has caused, and likely will continue to cause, the collapse of emerging market economies. Pettis combines the insights of economic history, economic theory, and finance theory into a comprehensive model for understanding sovereign liability management and the causes of financial crises. He examines recent financial crises in emerging market countries along with the history of international lending since the 1820s to argue that the process of international lending is driven primarily by external events and not by local politics and/or economic policies. He draws out the corporate finance implications of this approach to argue that most of the current analyses of the recent financial crises suffered by Latin America, Asia, and Russia have largely missed the point. He then develops a sovereign finance model, analogous to corporate finance, to understand the capital structure needs of emerging market countries. Using this model, he finally puts into perspective the recent crises, a new sovereign liability management theory, the implications of the model for sovereign debt restructurings, and the new financial architecture. Bridging the gap between finance specialists and traders, on the one hand, and economists and policy-makers on the other, The Volatility Machine is critical reading for anyone interested in where the international economy is going over the next several years.
The Volatility Machine : Emerging Economics and the Threat of Financial Collapse
The Volatility Machine : Emerging Economics and the Threat of Financial Collapse - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Volatility Machine : Emerging Economics and the Threat of Financial Collapse write by Michael Pettis Adjunct Professor Columbia University. This book was released on 2001-04-23. The Volatility Machine : Emerging Economics and the Threat of Financial Collapse available in PDF, EPUB and Kindle. This book presents a radically different argument for what has caused, and likely will continue to cause, the collapse of emerging market economies. Pettis combines the insights of economic history, economic theory, and finance theory into a comprehensive model for understanding sovereign liability management and the causes of financial crises. He examines recent financial crises in emerging market countries along with the history of international lending since the 1820s to argue that the process of international lending is driven primarily by external events and not by local politics and/or economic policies. He draws out the corporate finance implications of this approach to argue that most of the current analyses of the recent financial crises suffered by Latin America, Asia, and Russia have largely missed the point. He then develops a sovereign finance model, analogous to corporate finance, to understand the capital structure needs of emerging market countries. Using this model, he finally puts into perspective the recent crises, a new sovereign liability management theory, the implications of the model for sovereign debt restructurings, and the new financial architecture. Bridging the gap between finance specialists and traders, on the one hand, and economists and policy-makers on the other, The Volatility Machine is critical reading for anyone interested in where the international economy is going over the next several years.
The Volatility Machine
The Volatility Machine - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Volatility Machine write by Michael Pettis. This book was released on 2001-05-17. The Volatility Machine available in PDF, EPUB and Kindle. This book presents a radically different argument for what has caused, and likely will continue to cause, the collapse of emerging market economies. Pettis combines the insights of economic history, economic theory, and finance theory into a comprehensive model for understanding sovereign liability management and the causes of financial crises. He examines recent financial crises in emerging market countries along with the history of international lending since the 1820s to argue that the process of international lending is driven primarily by external events and not by local politics and/or economic policies. He draws out the corporate finance implications of this approach to argue that most of the current analyses of the recent financial crises suffered by Latin America, Asia, and Russia have largely missed the point. He then develops a sovereign finance model, analogous to corporate finance, to understand the capital structure needs of emerging market countries. Using this model, he finally puts into perspective the recent crises, a new sovereign liability management theory, the implications of the model for sovereign debt restructurings, and the new financial architecture. Bridging the gap between finance specialists and traders, on the one hand, and economists and policy-makers on the other, The Volatility Machine is critical reading for anyone interested in where the international economy is going over the next several years.
The Great Rebalancing
The Great Rebalancing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Great Rebalancing write by Michael Pettis. This book was released on 2014-10-26. The Great Rebalancing available in PDF, EPUB and Kindle. How trade imbalances spurred on the global financial crisis and why we aren't out of trouble yet China's economic growth is sputtering, the Euro is under threat, and the United States is combating serious trade disadvantages. Another Great Depression? Not quite. Noted economist and China expert Michael Pettis argues instead that we are undergoing a critical rebalancing of the world economies. Debunking popular misconceptions, Pettis shows that severe trade imbalances spurred on the recent financial crisis and were the result of unfortunate policies that distorted the savings and consumption patterns of certain nations. Pettis examines the reasons behind these destabilizing policies, and he predicts severe economic dislocations that will have long-lasting effects. Demonstrating how economic policies can carry negative repercussions the world over, The Great Rebalancing sheds urgent light on our globally linked economic future.
Machine Learning in Finance
Machine Learning in Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning in Finance write by Matthew F. Dixon. This book was released on 2020-07-01. Machine Learning in Finance available in PDF, EPUB and Kindle. This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.
