Detailed Information on Publication Record
2018
Interest Rate Risk in the Banking Book (IRRBB) – Forecast quality of the EBA scenarios comparing to the Historical Simulation
SVOBODA, Martin, Svend REUSE, Annika RÜDER and Noel BÓKABasic information
Original name
Interest Rate Risk in the Banking Book (IRRBB) – Forecast quality of the EBA scenarios comparing to the Historical Simulation
Authors
SVOBODA, Martin (203 Czech Republic, guarantor, belonging to the institution), Svend REUSE (276 Germany), Annika RÜDER (276 Germany) and Noel BÓKA (276 Germany)
Edition
Ostrava, 15th International Scientific Conference on European Financial Systems 2018, p. 511-520, 10 pp. 2018
Publisher
VŠB-TU of Ostrava
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
50206 Finance
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
RIV identification code
RIV/00216224:14560/18:00104601
Organization unit
Faculty of Economics and Administration
ISBN
978-80-248-4225-7
Keywords in English
Interest Rate RIsk; Banking Book; IRRBB; Forecast Quality; EBA Guidelines; EBA scenarios; Historical Simulation; Value at Risk
Tags
Tags
International impact, Reviewed
Změněno: 14/10/2019 14:33, Noel Opala, M.Sc.
Abstract
V originále
Interest rate risk arising from non-trading activities, so called Interest Rate Risk in the Banking Book (IRRBB), becomes more and more important in times of low interest rates. Especially a historical low level of yields within the strategic expansion of maturity transformation stresses the profitability of institutes. Setting a standard for an adequate risk measurement the EBA defined six interest rate risk scenarios. Hence, measuring IRRBB with these scenarios leads to the question whether there is an empirical proof of the forecast quality of these scenarios comparing to the Historical Simulation in a monthly backtesting. In addition, the empirical analysis has the aim to show if the six EBA scenarios generate an adequate forecast quality in case of increasing yields.
Links
MUNI/A/0753/2017, interní kód MU |
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