Vidakovic, Neven (2015): Bank’s choice of loan portfolio under high regulation – example of Croatia.
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Abstract
This paper creates a mathematical model in which the banks are faced with two optimization problems. The first optimization problem is how to optimize their behavior in order to maximize profits. The second optimization is how to optimize the structure of liabilities in order to have minimum regulation. The regulatory regime is imposed by the central bank. This paper investigates the behavior of banks when faced with high regulation and provides a theoretical framework for analysis of the impact of high regulation on the choice of the bank’s portfolio structure. The model shows the banks have a learning framework in which the banks learn the central bank’s true model and adjust their credit policies to existing regulatory regime. However this adjustment also creates changes in the choice of credit.
Item Type: | MPRA Paper |
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Original Title: | Bank’s choice of loan portfolio under high regulation – example of Croatia |
English Title: | Bank’s choice of loan portfolio under high regulation – example of Croatia |
Language: | English |
Keywords: | credit, central bank regulation, dynamic programming, bayesian learning |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C73 - Stochastic and Dynamic Games ; Evolutionary Games ; Repeated Games E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E51 - Money Supply ; Credit ; Money Multipliers E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies |
Item ID: | 63929 |
Depositing User: | Neven Vidakovic |
Date Deposited: | 01 May 2015 05:16 |
Last Modified: | 05 Oct 2019 19:53 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/63929 |