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Risk management of non-maturing liabilities
Institution:1. Deutsche Bank AG, CIB/Credit Risk Management, Risk Analytics & Instruments, Taunusanlage 12, 60325 Frankfurt, Germany;2. Münchener Rückversicherungs-Gesellschaft, Financial Management & Consulting, Königinstr. 107, 80802 Munich, Germany;1. Centre for Applicable Mathematics, Tata Institute of Fundamental Research, P.O. Box 6503, Bangalore 560065, India;1. National Marine Data and Information Service, Tianjin, 300171, China;2. Department of Geoscience, China University of Petroleum (Beijing), Beijing, 102249, China;3. Research Institution of Petroleum Exploration & Development, PetroChina, Beijing, 100083, China;4. Tarim Oilfield Company, PetroChina, Korla, 841000, China;1. Paris School of Business, France;2. Fédération des Associations Professionnelles des Établissements de Microfinance de l′Afrique Centrale (FAPEMAC), France
Abstract:Risk management of non-maturing liabilities is a relatively unstudied issue of significant practical importance. Non-maturing liabilities include most of the traditional deposit accounts like demand deposits, savings accounts and short time deposits and form the basis of the funding of depository institutions. Therefore, the asset and liability management of depository institutions depends crucially on an accurate understanding of the liquidity risk and interest rate risk profile of these deposits.In this paper we propose a stochastic three-factor model as general quantitative framework for liquidity risk and interest rate risk management for non-maturing liabilities. It consists of three building blocks: market rates, deposit rates and deposit volumes. We give a detailed model specification and present algorithms for simulation and calibration. Our approach to liquidity risk management is based on the term structure of liquidity, a concept which forecasts for a specified period and probability what amount of cash is available for investment. For interest rate risk management we compute the value, the risk profile and the replicating bond portfolio of non-maturing liabilities using arbitrage-free pricing under a variance-minimizing measure. The proposed methodology is demonstrated by means of a case study: the risk management of savings accounts.
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