MODELLING OF SYSTEMIC RISK  OF BANKING SECTOR Cover Image

BANKŲ SEKTORIAUS SISTEMINĖS RIZIKOS VERTINIMO MODELIAVIMAS
MODELLING OF SYSTEMIC RISK OF BANKING SECTOR

Author(s): Laura Gudelytė, Olga Navickienė
Subject(s): Economy
Published by: Mykolas Romeris University
Keywords: banking sector; interbank market; systemic risk

Summary/Abstract: Purpose – to evaluate the general networking and simulation approaches of modelling of systemic risk and the financial contagion and their ability to assess the banking sector resilience in the case of external economic shocks and collapse of idiosyncratic financial institutions. Design/methodology/approach – a general overview of research papers presenting concepts and methodologies of assessment of systemic risk of the banking sector. Findings – limitations of the networking approach and possible ways to improve modelling of systemic risk. The network approach cannot explain the causes of initial default of bank. On the other hand, assumptions made on LGD and interbank exposures are very strong. These features are important limitations of network and simulation approaches. Research limitations/implications – the application of reviewed methods in the case of Lithuanian banking sector falls, however, due to the lack of exhaustive data. On the other hand, until now, applied methods for systemic risk due to the lack of data have been limited. Also, because of this reason, there are difficulties to create adequate dynamic assessment for systemic risk models. Therefore, in assessing systemic risk of the banking sector, the same problem remains: is it possible to parameterize the financial crisis, its spread and speed and other characteristics according to quantitative methods. Knowing the liquidity, credit risk and other standards set in Basel Accords, it is also not enough to properly manage the systemic risk of the whole banking sector because for the proper activity of the banking sector not only characteristics related to capital requirements have influence on it, but also external (mostly the macroeconomic, political) factors. Practical implications – determination of the explicit connection based on quantitative methods determining the systemic risk of the banking sector would be exact and objective assessment and useful not only for the banking executives providing business trends, identifying potential sources of risk in the near future, but also for the rest part of society, both ordinary citizens and entrepreneurs with current accounts and deposits in banks. Originality/value – in essence, modelling of the systemic risk and analysis of instability causes of the banking sector applying reliable quantitative methods in Lithuania are not sufficiently developed. Researchers in other countries have established that a high threat of systemic risk is concentrated in the interbank market; many researches have been done to assess this risk, however, problems related to assessment of systemic risk and application of models always occur. The most common problem is the lack of information and assumptions, and constantly changing economic environment: emerging (or which may arise) new types of transactions, the new banking regulatory conditions and other financial innovations.

  • Issue Year: 3/2013
  • Issue No: 02
  • Page Range: 359-371
  • Page Count: 13
  • Language: English