1.

Record Nr.

UNINA9910298523603321

Autore

Straßer Jeffry

Titolo

Integrated Risk Management of Non-Maturing Accounts : Practical Application and Testing of a Dynamic Replication Model / / by Jeffry Straßer

Pubbl/distr/stampa

Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Gabler, , 2014

ISBN

3-658-04903-0

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (127 p.)

Collana

BestMasters, , 2625-3577

Disciplina

332.1068

332.1068/1

332.10681

Soggetti

Business

Management science

Finance

Information technology

Business—Data processing

Operations research

Decision making

Business and Management, general

Finance, general

IT in Business

Operations Research/Decision Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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”.