Kategoria BISAC: Business & Economics >> Finance - Financial Risk Management

Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default...

Enterprise Risk and Opportunity Management provides much-needed guidance tailored specifically to the technological sector. While most enterprise risk management guides are written for traditional businesses and finance firms, this book translates effective enterprise risk and opportunity management (EROM) principles into strategies and practices that work for government, nonprofit, and for-profit organizations in the technological space. Originally designed for noncommercial pioneering enterprises like NASA, an...

Literature on China's finance in the West has focused on "financial repression" in its highly regulated financial markets. However, fundamental changes in China's financial system are underway and China's peer-to-peer (P2P) lending is now the largest in the world.

This book uses exclusive researches, interviews and surveys to bring readers a clear picture of the rapidly developing P2P lending industry in China. It is comprised of two parts. The first part is a comprehensive analysis of China's P2P lending industry. It outlines the factors behind the meteoric rise of P2P...

This book underscores the complexity of the equity markets, the challenges they face, and the fact that they are still a work in process. Three interacting forces drive market change: competition, technology change, and regulatory change. The markets have one major objective in particular to achieve: the delivery of accurate price discovery for both traders and the broader market. Are we getting it? Are competition, technology, and regulation acting together to improve market quality, or are they adding to the complexity of the markets and making accurate price discovery harder to achieve?...

This book will be a -must- for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field.