Integrated Risk Management of Non-Maturing Accounts: Practical Application and Testing of a Dynamic Replication Model: BestMasters
Autor Jeffry Straßeren Limba Engleză Paperback – 3 feb 2014
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Specificații
ISBN-13: 9783658049027
ISBN-10: 3658049022
Pagini: 136
Ilustrații: XVII, 116 p. 19 illus.
Dimensiuni: 148 x 210 x 7 mm
Greutate: 0.19 kg
Ediția:2014
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Seria BestMasters
Locul publicării:Wiesbaden, Germany
ISBN-10: 3658049022
Pagini: 136
Ilustrații: XVII, 116 p. 19 illus.
Dimensiuni: 148 x 210 x 7 mm
Greutate: 0.19 kg
Ediția:2014
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Seria BestMasters
Locul publicării:Wiesbaden, Germany
Public țintă
ResearchCuprins
Modelling of risk factors.- Setting up a multistage stochastic program.- Model output and performance analysis.- Full program code for all described steps in open-source statistical programming language R.
Notă biografică
Jeffry Straßer MA obtained his master´s degree at the University of Applied Sciences bfi Vienna in the programme “Quantitative Asset and Risk Management”.
Textul de pe ultima copertă
Customer accounts that neither have a fixed maturity nor a fixed interest rate represent a substantial part of a consumer bank’s funding. The modelling for their risk management and pricing is a challenging yet crucial task in today’s asset/liability management, with increasing computational power allowing for new approaches. Jeffry Straßer outlines an implementation of a state-of-the-art dynamic replication model in detail. A case study with recent data supports the expected superiority of the model. Additionally, it provides tangible recommendations for model specifications derived from practical and mathematical consideration, as well as empirical findings. Practitioners will appreciate the comprehensive programming code attached.
Contents
Target Groups
The Author
Jeffry Straßer MA obtained his master´s degree at the University of Applied Sciences bfi Vienna in the programme “Quantitative Asset and Risk Management”.
Contents
- Modelling of risk factors
- Setting up a multistage stochastic program
- Model output and performance analysis
- Full program code for all described steps in open-source statistical programming language R
Target Groups
- Researchers and students in the field of bank (risk) management, statistics and business informatics
- Practitioners in bank management, bank risk management, and bank regulation
The Author
Jeffry Straßer MA obtained his master´s degree at the University of Applied Sciences bfi Vienna in the programme “Quantitative Asset and Risk Management”.
Caracteristici
Study in the field of economic sciences Includes supplementary material: sn.pub/extras