Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. How to Model and Validate Expected Credit Losses for IFRS9 and CECL: A Practical Guide with Examples Worked in Excel, R, Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 116,89
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Aggiungi al carrelloPaperback. Condizione: New. IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
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Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
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Aggiungi al carrelloCondizione: New. Offers a broad survey that explains which models work best for mortgage, small business, cards, commercial real estate, commercial loans and other credit products Concentrates on specific aspects of the modelling process by focusing on lif.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, San Diego, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 146,68
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. How to Model and Validate Expected Credit Losses for IFRS9 and CECL: A Practical Guide with Examples Worked in Excel, R, Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: Rarewaves.com UK, London, Regno Unito
EUR 110,29
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Aggiungi al carrelloPaperback. Condizione: New. IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. IFRS 9 and CECL Credit Risk Modelling and Validation | A Practical Guide with Examples Worked in R and SAS | Tiziano Bellini | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Elsevier Science Publishing Co Inc | EAN 9780128149409 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 298 pages. 9.00x7.50x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 127,25
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 630.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 98,42
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc Jan 2019, 2019
ISBN 10: 012814940X ISBN 13: 9780128149409
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 150,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low default portfolios. A practical approach inspires the learning journey. In each section the theoretical dissertation is accompanied by Examples and Case Studies worked in R and SAS, the most widely used software packages used by practitioners in Credit Risk Management. 316 pp. Englisch.