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Forecasting the Return of the Loan Portfolio on the Basis of Markov Model
Author(s) -
Galina Timofeeva
Publication year - 2017
Publication title -
bulletin of the south ural state university series mathematical modelling programming and computer software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.338
H-Index - 11
eISSN - 2308-0256
pISSN - 2071-0216
DOI - 10.14529/mmp170305
Subject(s) - portfolio , econometrics , markov chain , loan , basis (linear algebra) , markov model , actuarial science , computer science , economics , financial economics , mathematics , machine learning , finance , geometry
We consider the problem of mathematical modelling of ows of loan portfolio payments. We assume that the change in the quality of each loan is described by a simple Markov chain with a nite number of states. In this case, the ow of loan payments is a random process, which depends on the Markov chain. On the basis of the proposed model and known relations of the stochastic systems theory, we describe the expected ows of payments of the entire loan portfolio and construct a method to forecast the expected return (net present value) of the portfolio. We analyze an accuracy of the obtained model and a sensitivity of net present value of the portfolio to a change in the transition probabilities in the Markov chain.

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