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Deep Credit Risk

Deep Credit Risk PDF Author: Harald Scheule
Publisher:
ISBN:
Category :
Languages : en
Pages : 466

Book Description
Deep Credit Risk - Machine Learning in Python aims at starters and pros alike to enable you to: - Understand the role of liquidity, equity and many other key banking features- Engineer and select features- Predict defaults, payoffs, loss rates and exposures- Predict downturn and crisis outcomes using pre-crisis features- Understand the implications of COVID-19- Apply innovative sampling techniques for model training and validation- Deep-learn from Logit Classifiers to Random Forests and Neural Networks- Do unsupervised Clustering, Principal Components and Bayesian Techniques- Build multi-period models for CECL, IFRS 9 and CCAR- Build credit portfolio correlation models for VaR and Expected Shortfall- Run over 1,500 lines of pandas, statsmodels and scikit-learn Python code- Access real credit data and much more ...

Deep Credit Risk

Deep Credit Risk PDF Author: Harald Scheule
Publisher:
ISBN:
Category :
Languages : en
Pages : 466

Book Description
Deep Credit Risk - Machine Learning in Python aims at starters and pros alike to enable you to: - Understand the role of liquidity, equity and many other key banking features- Engineer and select features- Predict defaults, payoffs, loss rates and exposures- Predict downturn and crisis outcomes using pre-crisis features- Understand the implications of COVID-19- Apply innovative sampling techniques for model training and validation- Deep-learn from Logit Classifiers to Random Forests and Neural Networks- Do unsupervised Clustering, Principal Components and Bayesian Techniques- Build multi-period models for CECL, IFRS 9 and CCAR- Build credit portfolio correlation models for VaR and Expected Shortfall- Run over 1,500 lines of pandas, statsmodels and scikit-learn Python code- Access real credit data and much more ...

Credit Risk Analytics

Credit Risk Analytics PDF Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119143985
Category : Business & Economics
Languages : en
Pages : 517

Book Description
The long-awaited, comprehensive guide to practical credit risk modeling 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 portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.

Foreign Banks and Global Finance in Modern China

Foreign Banks and Global Finance in Modern China PDF Author: Ghassan Moazzin
Publisher: Cambridge University Press
ISBN: 1316517039
Category : Business & Economics
Languages : en
Pages : 355

Book Description
Explores how foreign banks financially connected modern China to international capital markets and the global economy.

People’s Republic of China: Detailed Assessment Report: CPSS-IOSCO Recommendations for Securities Settlement Systems and Central Counterparties

People’s Republic of China: Detailed Assessment Report: CPSS-IOSCO Recommendations for Securities Settlement Systems and Central Counterparties PDF Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1475570023
Category : Business & Economics
Languages : en
Pages : 65

Book Description
A detailed assessment report on the observance of the Committee on Payment and Settlement Systems-International Organization of Securities Commissions recommendations for China’s Securities Settlement Systems and Central Counterparties is presented. The bond market comprises the interbank bond market, the exchange bond market, and the bank counter market. The two stock exchanges, the Shanghai Stock Exchange and the Shenzhen Stock Exchange, have been established in 1990 and offer trading in the same type of securities, being shares, bonds, funds, and warrants.

China's Great Wall of Debt

China's Great Wall of Debt PDF Author: Dinny McMahon
Publisher: HarperCollins
ISBN: 1328846024
Category : Business & Economics
Languages : en
Pages : 285

Book Description
A stunning inside look at how and why the foundations upon which China has built the world’s second largest economy, have started to crumble. Over the course of a decade spent reporting in China as a financial journalist, Dinny McMahon came to the conclusion that the widely held belief in China’s inevitable economic ascent is dangerously wrong. In this unprecedented deep dive, McMahon shows how, lurking behind the illusion of prosperity, China’s economic growth has been built on a staggering mountain of debt. While stories of newly built but empty cities, white elephant state projects, and a byzantine shadow banking system have all become a regular fixture in the press, McMahon goes beyond the headlines to explain how such waste has been allowed to flourish, and why one of the most powerful governments in the world has been at a loss to stop it. Through the stories of ordinary Chinese citizens, McMahon tries to make sense of the unique—and often bizarre—mechanics of the nation’s economy, whether it be the state’s addiction to appropriating land from poor farmers; or why a Chinese entrepreneur decided it was cheaper to move his yarn factory to South Carolina; or why ambitious Chinese mayors build ghost cities; or why the Chinese bureaucracy was able to stare down Beijing’s attempts to break up the state’s pointless monopoly over table salt distribution. Debt, entrenched vested interests, a frenzy of speculation, and an aging population are all pushing China toward an economic reckoning. China’s Great Wall of Debt unravels an incredibly complex and opaque economy, one whose fortunes—for better or worse—will shape the globe like never before.

China's Financial System

China's Financial System PDF Author: Franklin Allen
Publisher:
ISBN: 9781680830606
Category : Business & Economics
Languages : en
Pages : 140

Book Description
Provides a review of China's financial system and compares it to other financial systems. It reviews what has worked and what has not within the markets and intermediaries in China, the effects of the recent development of China's financial system on the economy, and a non-standard financial sector operating beyond the markets and banking sectors.

The Handbook of China's Financial System

The Handbook of China's Financial System PDF Author: Marlene Amstad
Publisher: Princeton University Press
ISBN: 0691205841
Category : Business & Economics
Languages : en
Pages : 504

Book Description
A comprehensive, in-depth, and authoritative guide to China's financial system The Chinese economy is one of the most important in the world, and its success is driven in large part by its financial system. Though closely scrutinized, this system is poorly understood and vastly different than those in the West. The Handbook of China’s Financial System will serve as a standard reference guide and invaluable resource to the workings of this critical institution. The handbook looks in depth at the central aspects of the system, including banking, bonds, the stock market, asset management, the pension system, and financial technology. Each chapter is written by leading experts in the field, and the contributors represent a unique mix of scholars and policymakers, many with firsthand knowledge of setting and carrying out Chinese financial policy. The first authoritative volume on China’s financial system, this handbook sheds new light on how it developed, how it works, and the prospects and direction of significant reforms to come. Contributors include Franklin Allen, Marlene Amstad, Kaiji Chen, Tuo Deng, Hanming Fang, Jin Feng, Tingting Ge, Kai Guo, Zhiguo He, Yiping Huang, Zhaojun Huang, Ningxin Jiang, Wenxi Jiang, Chang Liu, Jun Ma, Yanliang Mao, Fan Qi, Jun Qian, Chenyu Shan, Guofeng Sun, Xuan Tian, Chu Wang, Cong Wang, Tao Wang, Wei Xiong, Yi Xiong, Tao Zha, Bohui Zhang, Tianyu Zhang, Zhiwei Zhang, Ye Zhao, and Julie Lei Zhu.

People's Republic of China

People's Republic of China PDF Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1463924542
Category : Business & Economics
Languages : en
Pages : 126

Book Description
This report discusses the IMF/World Bank Financial Sector Assessment Program (FSAP) exercise for China undertaken during June–December 2010. The assessment concluded that reforms in China have progressed well in moving toward a more commercially oriented financial system. Despite success and rapid growth, China’s financial sector is confronting several near-term risks, structural challenges, and policy-induced distortions. A properly composed and timely implemented set of reforms would help address these challenges. A framework to resolve weak financial institutions on a timely basis is also needed.

Credit Risk Management

Credit Risk Management PDF Author: Jiří Witzany
Publisher: Springer
ISBN: 3319498002
Category : Business & Economics
Languages : en
Pages : 264

Book Description
This book introduces to basic and advanced methods for credit risk management. It covers classical debt instruments and modern financial markets products. The author describes not only standard rating and scoring methods like Classification Trees or Logistic Regression, but also less known models that are subject of ongoing research, like e.g. Support Vector Machines, Neural Networks, or Fuzzy Inference Systems. The book also illustrates financial and commodity markets and analyzes the principles of advanced credit risk modeling techniques and credit derivatives pricing methods. Particular attention is given to the challenges of counterparty risk management, Credit Valuation Adjustment (CVA) and the related regulatory Basel III requirements. As a conclusion, the book provides the reader with all the essential aspects of classical and modern credit risk management and modeling.

ICEMME 2023

ICEMME 2023 PDF Author: Nikolaos Freris
Publisher: European Alliance for Innovation
ISBN: 1631904566
Category : Business & Economics
Languages : en
Pages : 822

Book Description
The 2023 5th International Conference on Economic Management and Model Engineering (ICEMME 2023) was held on November 17-19, 2023 in Beijing, China. The primary objective of this conference is to facilitate the exchange of ideas and knowledge among researchers, scholars, and practitioners in the field of economic management and modeling engineering. Through presentations, discussions, and networking opportunities, participants will have the chance to explore the latest advancements, methodologies, and best practices in these areas. The conference was focused on three main themes: Enterprise Economic Management and Market Mechanism Assessment; Data Statistical Analysis and Economic Forecasting; Industrial Structure Optimization and Economic Green Development. For readers, this collection of papers offers a comprehensive insight into cutting-edge research and case studies, providing valuable information on current trends, challenges, and opportunities in economic management and modeling engineering. Readers will benefit from the diverse perspectives and innovative approaches presented in these papers, inspiring new ideas and solutions for their own research endeavors. Moreover, the positive influence of this conference extends beyond the current discussions. It is expected that the findings and recommendations shared in these proceedings will serve as a foundation for future research in the field of economic management and modeling engineering. By fostering collaboration, knowledge sharing, and academic discourse, this conference aims to contribute to the advancement of the field and stimulate further research initiatives in the years to come.