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Author : C. Nicholas Rouse Publisher : Global Professional Publishi Page : 312 pages File Size : 55,7 Mb Release : 2002 Category : Business & Economics ISBN : 0852975872
Bankers' Lending Techniques by C. Nicholas Rouse Pdf
'?New, expanded edition of a popular title?Now covers new techniques of lending assessmentThe new edition of this popular title has been expanded to twice the length of the previous edition, which reflects the widening of the book?'s scope to cover the impact of new techniques of lending assessment as well as legal issues concerning lending to corporates and private individuals. It features whole new chapters on acquisition finance, franchising, factoring, and control of a lending portfolio. It also offers a perspective on the increased use of technology against traditional lending techniques.
Author : C. Nicholas Rouse Publisher : Global Professional Publishi Page : 258 pages File Size : 44,8 Mb Release : 1999 Category : Business & Economics ISBN : 0852975376
Applied Lending Techniques by C. Nicholas Rouse Pdf
'?Combines theory with the author?'s experience?Unlike so many concentrates on practice not theory This is a unique evaluation of lending theory based on solid experience. The book stands back from the accepted day-to-day practice of corporate and personal departments and draws on the extensive experience of the author, revealing the benefits of evaluating each case on its own merits. It adopts a practical ?lessons learned? approach.
Author : C. Nicholas Rouse Publisher : Chartered Institute of Bankers Page : 168 pages File Size : 52,5 Mb Release : 1989 Category : Bank loans ISBN : 0852972288
Bankers' Lending Techniques by C. Nicholas Rouse,Nick Rouse Pdf
This popular, best-selling title, used by many banks for training their staff, covers the international aspects of lending and for that reason the text has now been globalised to ensure it is appropriate for all students. This third, fully up-dated edition covers the impact of the latest technology for lending assessment as well as legal issues concerning lending to corporate organisations, and also to private individuals. It features chapters on acquisition finance, franchising, factoring, a new section on project finance plus the control of a lending portfolio and the increased use of new technology. Some highly topical areas have been expanded. Sovereign risk has been incorporated and the whole area of rating agencies has been updated to include the difference between the ratings and the primary need of the banker, i.e. the Probability of Default. Finally there is now greater emphasis on the analysis of cash flow and the switch by lenders from the analysis of profitability and the need to produce and use cash flow projections. "This new and expanded edition provides the definitive reference book on lending for those in the banking industry. Its clear and accessible style makes it equally useful for the seasoned practitioner and for those training for the future. Nick's extensive practical and theoretical experience makes this a book that clarifies and educates, and which will be as useful in these times not only for bankers, but also for the non-banker seeking to understand what their bank is trying to achieve and why." Andy Bainbridge Head of Credit Risk (Western Hemisphere), Standard Chartered Bank
Applied Lending Techniques by Nick Rouse,Colin Watson Pdf
So many books that deal with lending and credit risk concentrate on a theoretical approach and are based on common procedures in place in many institutions. The unique quality of Applied Lending Techniques is that it applies those theories to practical examples. It stands back from the day-to-day practice of personal and corporate lending departments and draws on the extensive personal experience of practitioners and reveals the benefits of evaluating each case on its own merits as well as how to learn from mistakes. Lending is a practical subject which on the one hand requires the banker to have a good theoretical knowledge and on the other to be "streetwise" in using it.
Credit Engineering for Bankers by Morton Glantz,Johnathan Mun Pdf
More efficient credit portfolio engineering can increase the decision-making power of bankers and boost the market value of their banks. By implementing robust risk management procedures, bankers can develop comprehensive views of obligors by integrating fundamental and market data into a portfolio framework that treats all instruments similarly. Banks that can implement strategies for uncovering credit risk investments with the highest return per unit of risk can confidently build their businesses. Through chapters on fundamental analysis and credit administration, authors Morton Glantz and Johnathan Mun teach readers how to improve their credit skills and develop logical decision-making processes. As readers acquire new abilities to calculate risks and evaluate portfolios, they learn how credit risk strategies and policies can affect and be affected by credit ratings and global exposure tracking systems. The result is a book that facilitates the discipline of market-oriented portfolio management in the face of unending changes in the financial industry. Concentrates on the practical implementation of credit engineering strategies and tools Demonstrates how bankers can use portfolio analytics to increase their insights about different groups of obligors Investigates ways to improve a portfolio’s return on risk while minimizing probability of insolvency
Research Anthology on Machine Learning Techniques, Methods, and Applications by Management Association, Information Resources Pdf
Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.
Frontiers in Credit Risk by Gordian Gaeta,Shamez Alibhai,Justin Hingorani Pdf
Credit risk evaluation is as old as commerce itself. Processes have been refined over centuries based on cumulative experience, judgment and learning. The rapid development of financial markets however has tested the limits of the traditional approach as highly publicized credit losses and huge non-performing loans across the globe well document. Distress among many credit professionals and regulators prevails. This book describes a different and unemotional approach to credit risk evaluation. Based on abstract and objective credit models, the concept of credit risk measurement is introduced through a range of theoretical and practical perspectives. From making a case for credit risk measurement as a complement to the more traditional approaches to credit risk management, the book covers validation, applications and new areas of credit risk management. Contributions by leading academics, practitioners and consultants provide for scholars and credit risk professionals but also less mathematically inclined readers or interested parties, a wide spectrum of ideas and concepts for developing and improving their own viewpoint, processes and approaches. A demo-CD of one particular model is included for practical testing and playing with applied credit risk measurement concepts.
Intelligent Decision Technologies by Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Jain Pdf
This book gathers selected papers from the KES-IDT-2020 Conference, held as a Virtual Conference on June 17–19, 2020. The aim of the annual conference was to present and discuss the latest research results, and to generate new ideas in the field of intelligent decision-making. However, the range of topics discussed during the conference was definitely broader and covered methods in e.g. classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, and modeling in such diverse areas as finance, cybersecurity, economics, health, management and transportation. The Problems in Industry 4.0 and IoT are also addressed. The book contains several sections devoted to specific topics, such as Intelligent Data Processing and its Applications High-Dimensional Data Analysis and its Applications Multi-Criteria Decision Analysis – Theory and Applications Large-Scale Systems for Intelligent Decision-Making and Knowledge Engineering Decision Technologies and Related Topics in Big Data Analysis of Social and Financial Issues Decision-Making Theory for Economics
Proceedings of the XVII International symposium Symorg 2020 by Dušan Starčević,Sanja Marinković Pdf
Ever since 1989, the Faculty of Organizational Sciences, University of Belgrade, has been the host of SymOrg, an event that promotes scientific disciplines of organizing and managing a business. Traditionally, the Symposium has been an opportunity for its participants to share and exchange both academic and practical knowledge and experience in a pleasant and creative atmosphere. This time, however, due the challenging situation regarding the COVID-19 pandemic, we have decided that all the essential activities planned for the International Symposium SymOrg 2020 should be carried out online between the 7th and the 9th of September 2020. We are very pleased that the topic of SymOrg 2020, “Business and Artificial Intelligence”, attracted researchers from different institutions, both in Serbia and abroad. Why is artificial intelligence a disruptive technology? Simply because “it significantly alters the way consumers, industries, or businesses operate.” According to the European Commission document titled Artificial Intelligence for Europe 2018, AI is a key disruptive technology that has just begun to reshape the world. The Government of the Republic of Serbia has also recognized the importance of AI for the further development of its economy and society and has prepared an AI Development Strategy for the period between 2020 and 2025. The first step has already been made: the Science Fund of the Republic of Serbia, after a public call, has selected and financed twelve AI projects. This year, more than 200 scholars and practitioners authored and co-authored the 94 scientific and research papers that had been accepted for publication in the Proceedings. All the contributions to the Proceedings are classified into the following 11 sections: Information Systems and Technologies in the Era of Digital Transformation Smart Business Models and Processes Entrepreneurship, Innovation and Sustainable Development Smart Environment for Marketing and Communications Digital Human Resource Management Smart E-Business Quality 4.0 and International Standards Application of Artificial Intelligence in Project Management Digital and Lean Operations Management Transformation of Financial Services Methods and Applications of Data Science in Business and Society We are very grateful to our distinguished keynote speakers: Prof. Moshe Vardi, Rice University, USA, Prof. Blaž Zupan, University of Ljubljana, Slovenia, Prof. Vladan Devedžić, University of Belgrade, Serbia, Milica Đurić-Jovičić, PhD, Director, Science Fund of the Republic of Serbia, and Harri Ketamo, PhD, Founder & Chairman of HeadAI ltd., Finland. Also, special thanks to Prof. Dragan Vukmirović, University of Belgrade, Serbia and Prof. Zoran Ševarac, University of Belgrade, Serbia for organizing workshops in fields of Data Science and Machine Learning and to Prof. Rade Matić, Belgrade Business and Arts Academy of Applied Studies and Milan Dobrota, PhD, CEO at Agremo, Serbia, for their valuable contribution in presenting Serbian experiences in the field of AI. The Faculty of Organizational Sciences would to express its gratitude to the Ministry of Education, Science and Technological Development and all the individuals who have supported and contributed to the organization of the Symposium. We are particularly grateful to the contributors and reviewers who made this issue possible. But above all, we are especially thankful to the authors and presenters for making the SymOrg 2020 a success!
Credit Risk Management is a comprehensive textbook that looks at the total integrated process for managing credit risk, ranging from the risk assessment of a single obligor to the risk measurement of an entire portfolio. This expert learning tool introduces the principle concepts of credit risk analysis...explains the techniques used for improving the effectiveness of balance sheet management in financial institutions...and shows how to manage credit risks under competitive and realistic conditions. Credit Risk Management presents step-by-step coverage of: The Credit Process_discussing the operational practices and structural processes to implement and create a sound credit environment The Lending Objectives_explaining the credit selection process that is used to evaluate new business, and describing how transaction risk exposure becomes incorporated into portfolio selection risk Company Funding Strategies_presenting an overview of the funding strategies on some of the more commonly used financial products in the extension of business credit Company Specific Risk Evaluation_outlining some fundamental credit analysis applications that can be used to assess transactions through the framework of a risk evaluation guide Qualitative Specific Risk Evaluation_offering additional approaches to risk evaluate a borrower's industry and management Credit Risk Measurement_defining the role of credit risk measurement, presenting a basic framework to measure credit risk, and discussing some of the standard measurement applications to quantify the economic loss on a transaction's credit exposure Credit Portfolio Management_exploring the basic concepts behind credit portfolio management, and highlighting the distinctive factors that drive the management of a portfolio of credit assets compared to a single asset Credit Rating Systems_analyzing the pivotal role that credit rating systems have come to play in managing credit risk for lenders The Economics of Credit_showing how the modern credit risk approach has changed the economics of credit in order to achieve more profitable earnings and maintain global stability in the financial markets Filled with a wide range of study aids, Credit Risk Management is today's best guide to the concepts and practices of modern credit risk management, offering practitioners a detailed roadmap for avoiding lending mishaps and maximizing profits.
Encyclopedia of Machine Learning by Claude Sammut,Geoffrey I. Webb Pdf
This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.
