Integrated Risk Management of Non-Maturing Accounts [electronic resource] :Practical Application and Testing of a Dynamic Replication Model / by Jeffry Straßer.
by Straßer, Jeffry [author.]; SpringerLink (Online service).
Material type:
BookSeries: BestMasters: Publisher: Wiesbaden : Springer Fachmedien Wiesbaden : 2014.Description: XVII, 116 p. 19 illus. online resource.ISBN: 9783658049034.Subject(s): Economics | Operations research | Management information systems | Economics/Management Science | Business/Management Science, general | Finance/Investment/Banking | Business Information Systems | Operation Research/Decision TheoryDDC classification: 650 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| HD28-70 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | HF4999.2-6182 (Browse shelf) | Available |
Browsing MAIN LIBRARY Shelves Close shelf browser
| HG1-9999 Currency Speculation in Fixed Exchange Rate Regimes | HF4999.2-6182 Collateralized Debt Obligations | HM401-1281 Combined Forces for Social Impact | HF4999.2-6182 Integrated Risk Management of Non-Maturing Accounts | JF20-2112 Wind Energy Deployment and the Relevance of Rare Earths | HD87-87.55 Monetary Policy under Uncertainty | QH324.2-324.25 Structural Bioinformatics of Membrane Proteins |
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.
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 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”.
There are no comments for this item.