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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 ...
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 ...
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.
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.
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.
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.
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.
Author: Yiping Huang Publisher: ISBN: 9781513557618 Category : Languages : en Pages : 42
Book Description
Promoting credit services to small and medium-size enterprises (SMEs) has been a perennial challenge for policy makers globally due to high information costs. Recent fintech developments may be able to mitigate this problem. By leveraging big data or digital footprints on existing platforms, some big technology (BigTech) firms have extended short-term loans to millions of small firms. By analyzing 1.8 million loan transactions of a leading Chinese online bank, this paper compares the fintech approach to assessing credit risk using big data and machine learning models with the bank approach using traditional financial data and scorecard models. The study shows that the fintech approach yields better prediction of loan defaults during normal times and periods of large exogenous shocks, reflecting information and modeling advantages. BigTech's proprietary information can complement or, where necessary, substitute credit history in risk assessment, allowing unbanked firms to borrow. Furthermore, the fintech approach benefits SMEs that are smaller and in smaller cities, hence complementing the role of banks by reaching underserved customers. With more effective and balanced policy support, BigTech lenders could help promote financial inclusion worldwide.
Author: Jean-Pierre Cabestan Publisher: Routledge ISBN: 0415675146 Category : Business & Economics Languages : en Pages : 210
Book Description
This book examines China's response to the 2007-2008 global financial crisis, and the resulting new status acquired by China within the international economy. It considers the things China did to weather the crisis, discussing the stimulus package put in place by China and how China's banks coped, but above all examines the measures which countries outside China look to China to put in place in order to better encourage and secure world-wide economic recovery, measures such as currency revaluation, tax reform and greater stimulation of domestic demand. The book contrasts China's response to the crisis, and China's increasingly central role in the world economy, with the responses of the European Union. The book also assesses China's increasingly important regional role, in particular its dialogue with the new Japanese government, and China's positioning towards Southeast Asia, and also discusses the growth of Chinese foreign direct investment.
Author: Hong Kong Institute of Bankers (HKIB) Publisher: John Wiley & Sons ISBN: 0470827491 Category : Business & Economics Languages : en Pages : 470
Book Description
The importance of managing credit and credit risks carefully and appropriately cannot be overestimated. The very success or failure of a bank and the banking industry in general may well depend on how credit risk is handled. Banking professionals must be fully versed in the risks associated with credit operations and how to manage those risks. This up-to-date volume is an invaluable reference and study tool that delves deep into issues associated with credit risk management. Credit Risk Management from the Hong Kong Institute of Bankers (HKIB)discusses the various ways through which banks manage risks. Essential for candidates studying for the HKIB Associateship Examination, it can also help those who want to acquire a deeper understanding of how and why banks make decisions and set up processes that lower their risk. Topics covered in this book include: Active credit portfolio management Risk management, pricing, and capital adequacy Capital requirements for banks Approaches to credit risk management Structural models and probability of default Techniques to determine loss given default Derivatives and structured products
Author: Harald Scheule
Author: Harald Scheule
Author: Bart Baesens
Author: Ghassan Moazzin
Author: International Monetary Fund
Author: Marlene Amstad
Author: International Monetary Fund
Author: Nikolaos Freris
Author: Yiping Huang
Author: Jean-Pierre Cabestan
Author: Hong Kong Institute of Bankers (HKIB)