{"title":"Antonio Scalia","description":null,"products":[{"product_id":"financial-risk-management-and-climate-change-risk-book-antonio-scalia-9783031338816","title":"Financial Risk Management and Climate Change Risk","description":"Financial risk management for institutional investors has recently grown in scope to include long-term sustainability considerations and climate change risk concerns. This book shows how a national central bank in the Eurosystem has adapted its financial risk management principles and practices against the background of non-conventional monetary policy measures and following the introduction of sustainability criteria, with a special role for carbon-neutrality. The topics covered include a market-based approach to evaluating credit risk, the development of an independent credit rating system, and the properties and limitations of agencies’ sovereign ratings. Furthermore, the book analyzes the integration of sustainability principles into strategic asset allocation and describes the use of machine learning techniques for discerning the role of the E, S and G variables in equity returns. The authors also discuss the growth of the global green bond market and the greenium, as well as the sustainability indicators for large portfolios of corporate and government securities. Given its scope, the book will appeal to all professionals working in the field who would like to know the state-of-the-art in these areas.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49753556517137,"sku":"NGR9783031338816","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52149681717521,"sku":"NLS9783031338816","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/3031338812.jpg?v=1750838091"},{"product_id":"financial-risk-management-and-climate-change-risk-book-antonio-scalia-9783031338847","title":"Financial Risk Management and Climate Change Risk","description":"Financial risk management for institutional investors has recently grown in scope to include long-term sustainability considerations and climate change risk concerns. This book shows how a national central bank in the Eurosystem has adapted its financial risk management principles and practices against the background of non-conventional monetary policy measures and following the introduction of sustainability criteria, with a special role for carbon-neutrality. The topics covered include a market-based approach to evaluating credit risk, the development of an independent credit rating system, and the properties and limitations of agencies' sovereign ratings. Furthermore, the book analyzes the integration of sustainability principles into strategic asset allocation and describes the use of machine learning techniques for discerning the role of the E, S and G variables in equity returns. The authors also discuss the growth of the global green bond market and the greenium, as well as thesustainability indicators for large portfolios of corporate and government securities. Given its scope, the book will appeal to all professionals working in the field who would like to know the state-of-the-art in these areas.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":52418608922897,"sku":"NGR9783031338847","price":0.0,"currency_code":"GBP","in_stock":false}]},{"product_id":"corporate-credit-analysis-and-ai-book-antonio-scalia-9783032134219","title":"Corporate Credit Analysis and AI","description":"This book presents cutting-edge methodologies, including AI techniques, for corporate credit analysis as developed for the in-house credit assessment system (ICAS) of Banca d’Italia. The first part illustrates the methods, applications and use cases of the existing system, that is employed to evaluate a large sample of Italian non-financial companies. The second part presents the rating systems in use at commercial banks and provides a benchmarking exercise of the latter systems against the ratings produced by ICAS. The third part presents new developments of the system, including the evaluation of climate transition risk, climate physical risk, social and governance factors, cyber risk, sentiment analysis. The book illustrates all state-of-the-art AI applications developed for ICAS, providing practical examples and empirical results.   \"Scalia and colleagues at the Bank of Italy (BOI) provide a well written and important commentary report that shows that a  blend of classical, statistical models for corporate credit analysis combined with modern technological additions, such as AI, machine learning and ESG variables can promote value-added coverage and accuracy. We have also tested these credit enhancements using large language AI models, especially when analyzing global SME, privately owned firms -- so important to the health of most economies. Also, the blend of such techniques to the more opaque, growing private debt market can be a major analytical addition. BOI's extensive and unique databases and a talented group of analysts have made these enhancements possible.\"   — Dr. Edward I. Altman, Professor Emeritus at the NYU Stern School of Business and Co-Founder of Wiserfunding, Ltd.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":53265072947473,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":53265073471761,"sku":"NGR9783032134219","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783032134219.jpg?v=1773876536"}],"url":"https:\/\/www.worldofbooks.com\/collections\/author-books-by-antonio-scalia.oembed","provider":"World of Books ","version":"1.0","type":"link"}