Value at Risk (VaR) and its application in structural interest risk measurement
DOI:
https://doi.org/10.21754/iecos.v23i1.1558Keywords:
Banking, Structural Interest Risk, Value at Risk, Economic Capital, Principal ComponentsAbstract
This article aims to provide alternatives that improve the regulatory methodology for measuring structural interest risk for economic value. To do this, the various existing models used to measure structural interest rate risk for economic value are explored, the different metrics resulting from these models are calculated for the fifteen banks of the Peruvian financial system, and the regulatory methodolo gy is compared with the methodology Value at Risk (for the calculation of economic capital for structural interest rate risk), both in results and in procedures, evaluating the possible shortcomings that can be found in the regulatory model, as well as the possible advantages that the Value at Risk methodology of Structural interest rate risk measurement for economic value. For this reason, alternatives for improving the regulatory methodology are proposed, which are based on the search for accuracy in the distribution by maturity tranches of the balance sheet headings, the best accuracy of certain types of flows, more acidic measurements, analysis (stress scenarios, contingency plans) and the use of Value at Risk to measure economic capital for structural interest rate risk.
Downloads
References
Adam, A. (2007). Handbook of Asset and Liability Management: From Models to Optimal Return Strategies. The Wiley Finance Series.
Arévalo, R. (2007) Aplicación del análisis de componentes principales para simulación de escenarios de tasas de interés. Banco Central de Reserva de El Salvador. Documento de trabajo N°2007-02
Basel Committee on Banking Supervision (2016). Interest rate risk in the banking book. Basilea: Banco Internacional de Pagos.
Bessis, J. (2015). Risk Management in Banking. Cuarta edición. West Sussex: John Wiley & Sons.
De Lara Haro, A. (2018). Medición y control de riesgos financieros. Cuarta edición. México D.F: Editorial Limusa S.A de C.V.
Dermine, J. (2014). Bank Valuation & Value-based Management: Deposit & Loan 3 Pricing, Performance Evaluation & Risk Management.
Dermine, J. y Bissada, Y. (2003). La gestión de activos y pasivos financieros. Madrid: Pearson Educación S.A.
Farahvash, P. (2020) Asset–Liability and Liquidity Management. Hoboken: Wiley Finance Series.
García García, A. (2013). El Value at Risk y su aplicación en la medición del riesgo de interés estructural [Tesis de maestría, Universidad ESAN]. https://cendoc.esan.edu.pe/fulltext/tesis/ma2013/mef201324.pdf
García García, A. (2014). Consideraciones Básicas del Riesgo de Interés Estructural. Sinergia e Innovación, 2(1), 121-155.
Hull, J. (2022). Options, futures and other derivatives. Decimo primera edición. Nueva Jersey: Pearson Education Inc.
Hull, J. (2018). Risk Management and Financial Institutions. Quinta edición. Hoboken, Nueva Jersey: John Wiley & Sons.
Jamshidian, F. y Zhu, Y. (1997). Scenario Simulation: Theory and Methodology. Finance and Stochastics. Nº 1, pp. 43-67.
Jorion, P. (2007). Value at risk: the new benchmark for managing financial risk. Tercera edición. New York: MacGraw Hill.
Loretan, M. (1997): “Generating Market Risk Scenarios using Principal Components Analysis: Methodological and Practical considerations”. Federal Reserve Board (Marzo).
Lubinska, B. (2020). Asset Liability Management Optimisation: A Practitioner’s Guide to Balance Sheet Management and Remodelling. New York: Wiley Finance
Superintendencia de Banca, Seguros y AFP (2003). Reglamento para la Administración del Riesgo de Tasa de Interés y Presentación del Anexo Nº 7 “Medición del Riesgo de Tasa de Interés”, Circular SBS Nº F- 464 -2003
Vilariño, A. (2016) Riesgos de Mercado. Madrid: Ibergaceta Publicaciones
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 IECOS Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.
CC BY 4.0 DEED Attribution 4.0 International