dc.contributor.author | Novotná, Martina | |
dc.date.accessioned | 2024-11-25T10:45:54Z | |
dc.date.available | 2024-11-25T10:45:54Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | SAEI, vol. 69. Ostrava: VSB-TUO. | cs |
dc.identifier.isbn | 978-80-248-4728-3 (print) | |
dc.identifier.isbn | 978-80-248-4729-0 (on-line) | |
dc.identifier.uri | http://hdl.handle.net/10084/155337 | |
dc.description.abstract | The essential issue of this book is the term credit, either in the context of credit markets, credit risk or credit rating. Credit markets’ existence is associated with credit risk, which refers to the risk of an economic loss from the failure of a counterparty to meet its contractual obligations. Due to credit risk, suppliers of credit need to assess the creditworthiness of prospective borrowers. Although modern approaches to credit risk analysis have been developed in recent decades, examining borrowers’ ability to repay their funds is one of the oldest lending activities.
The main goal of this monograph is to apply and verify certain methods of credit risk modelling to real data from selected CEE countries. For the main purpose of this work, a micro approach is used to measure credit risk based on monitoring basic indicators and allowing creditors to take the necessary actions in time. The book aims at two partial financial and methodological objectives related to credit risk modelling in this context. Both of them are interconnected, and they complement each other throughout the book.
In terms of financial application, this book’s principal objective is to analyse credit risk based on real data, assess its main factors, explore mutual relations, and draw conclusions related to risk assessment and market behaviour. The application is focused on two approaches of individual credit risk assessment within the areas of credit rating and corporate survival.
The methodological purpose is the application and verification of rating and bankruptcy models. Rating models estimated using conventional approaches such as discriminant analysis or logistic regression are supplemented by an alternative survival analysis approach to determine the probability of rating downgrade over time. Survival analysis is subsequently used in the following empirical studies on corporate bankruptcy. We will investigate the relationship between the rating and corporate bankruptcy rates and estimate the rating assessment depending on the used model, input variables and the company's age.
This book is intended for everyone interested in credit risk, particularly rating and corporate survival modelling, mainly for academia and students at all levels of study. This monograph aims to provide complex information on credit risk fundamentals, current trends and rating systems’ principles. However, the primary purpose is the practical application and estimating models using real corporate data. Thus, we can determine the main factors of rating assessment and corporate survival and demonstrate how these models can be developed through different statistical methods.
The text is structured into three central parts: The theoretical background on credit risk and the credit rating industry, a description of econometric approaches used in the applications, and empirical studies on credit rating and corporate bankruptcy modelling. If the reader is particularly interested in estimating models and their comparison and interpretation, then it is suggested that they go directly to the practical application. However, reading the book step by step is recommended to understand the essence and main principles and use them in the application. | cs |
dc.format | 250 list., ilustrace | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.relation.ispartofseries | Series of Advanced Economic issues | cs |
dc.rights | Uveďte autora 4.0 International | * |
dc.rights | © Vysoká škola báňská – Technická univerzita Ostrava | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | credit | cs |
dc.subject | credit markets | cs |
dc.subject | credit risk | cs |
dc.subject | credit rating | cs |
dc.title | Micro-Modelling Approaches for Credit Rating and Corporate Survival | cs |
dc.type | book | cs |
dc.description.placeofpublication | Ostrava | cs |
dc.identifier.doi | 10.31490/9788024847290 | |
dc.relation.projectid | SP 2019/132 | |
dc.rights.access | openAccess | cs |
dc.type.status | Peer-reviewed | |
dc.relation.projectname | SGS project Financial decision-making
of firms and financial institutions under risk II (SP 2019/132) | |