The aim of this book is in the first place to show how to deal with a credit risk, and which tools the Czech banking sector uses to minimize it (based on the adequate literature and own experience). In the second place, the aim is to find out the reliable logit model estimating the probability of default during the short period based on available data (in the time of economic crisis in the Czech environment). In the first part of the book I am describing the development of Non-performing loans before and during the current financial crisis together with the results of the CNB's stress tests. Next chapter describes the credit risk with the emphasis on the credit monitoring, including the most frequently used monitoring tools. Final part turns us to the most important EWM model. The strictly confidential banking data (credit account turnovers, credit contract), together with data from the financial statements and CRU registry are the inputs to the Model. The Model should work as an early warning signal detection thanks to the estimate of probability of default (more specifically the watch loan classification or worse) during the next three months.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The aim of this book is in the first place to show how to deal with a credit risk, and which tools the Czech banking sector uses to minimize it (based on the adequate literature and own experience). In the second place, the aim is to find out the reliable logit model estimating the probability of default during the short period based on available data (in the time of economic crisis in the Czech environment). In the first part of the book I am describing the development of Non-performing loans before and during the current financial crisis together with the results of the CNB's stress tests. Next chapter describes the credit risk with the emphasis on the credit monitoring, including the most frequently used monitoring tools. Final part turns us to the most important EWM model. The strictly confidential banking data (credit account turnovers, credit contract), together with data from the financial statements and CRU registry are the inputs to the Model. The Model should work as an early warning signal detection thanks to the estimate of probability of default (more specifically the watch loan classification or worse) during the next three months.
Pavel Mu?í?ek, Master in Economics: Studied Finance, Financial Markets and Banking at Charles University. Credit Monitoring Analyst at UniCredit Bank, a.s., Prague.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this book is in the first place to show how to deal with a credit risk, and which tools the Czech banking sector uses to minimize it (based on the adequate literature and own experience). In the second place, the aim is to find out the reliable logit model estimating the probability of default during the short period based on available data (in the time of economic crisis in the Czech environment). In the first part of the book I am describing the development of Non-performing loans before and during the current financial crisis together with the results of the CNB's stress tests. Next chapter describes the credit risk with the emphasis on the credit monitoring, including the most frequently used monitoring tools. Final part turns us to the most important EWM model. The strictly confidential banking data (credit account turnovers, credit contract), together with data from the financial statements and CRU registry are the inputs to the Model. The Model should work as an early warning signal detection thanks to the estimate of probability of default (more specifically the watch loan classification or worse) during the next three months. 80 pp. Englisch. N° de réf. du vendeur 9783844317725
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of this book is in the first place to show how to deal with a credit risk, and which tools the Czech banking sector uses to minimize it (based on the adequate literature and own experience). In the second place, the aim is to find out the reliable logit model estimating the probability of default during the short period based on available data (in the time of economic crisis in the Czech environment). In the first part of the book I am describing the development of Non-performing loans before and during the current financial crisis together with the results of the CNB''s stress tests. Next chapter describes the credit risk with the emphasis on the credit monitoring, including the most frequently used monitoring tools. Final part turns us to the most important EWM model. The strictly confidential banking data (credit account turnovers, credit contract), together with data from the financial statements and CRU registry are the inputs to the Model. The Model should work as an early warning signal detection thanks to the estimate of probability of default (more specifically the watch loan classification or worse) during the next three months.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. N° de réf. du vendeur 9783844317725
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this book is in the first place to show how to deal with a credit risk, and which tools the Czech banking sector uses to minimize it (based on the adequate literature and own experience). In the second place, the aim is to find out the reliable logit model estimating the probability of default during the short period based on available data (in the time of economic crisis in the Czech environment). In the first part of the book I am describing the development of Non-performing loans before and during the current financial crisis together with the results of the CNB's stress tests. Next chapter describes the credit risk with the emphasis on the credit monitoring, including the most frequently used monitoring tools. Final part turns us to the most important EWM model. The strictly confidential banking data (credit account turnovers, credit contract), together with data from the financial statements and CRU registry are the inputs to the Model. The Model should work as an early warning signal detection thanks to the estimate of probability of default (more specifically the watch loan classification or worse) during the next three months. N° de réf. du vendeur 9783844317725
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Credit Risk Monitoring in the Czech Banking Sector | Early Warning Model | Pavel Mu¿í¿ek | Taschenbuch | 80 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844317725 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107064359
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