Author:
Samitas Aristeidis,Polyzos Stathis
Abstract
Purpose
– The purpose of this paper is to propose an object-oriented model of financial simulations which aims to test the applicability and suitability of the proposed measures of Basel III with respect to the prevention of banking crises.
Design/methodology/approach
– The authors introduce an object-oriented model of financial simulations in the banking sector, namely, virtual banking (VBanking). The system is based on behavioural simulation of economic agents and allows for transactions between them, using various forms of financial assets. VBanking has been implemented as an automated stand-alone model, allowing for repetitive simulations under the same parameter sets, producing an efficient series of statistical data.
Findings
– Interpretation of the resulting data suggests that some of the criticism against the proposed measures is justified, as neither economic crises nor contagion are diminished under Basel III. At the same time, the authors’ findings support that the stability goal is met, at least in part.
Research limitations/implications
– The model encompasses a relatively small part of the banking sector, while the authors choose not to deal with the production part of the economy. However, these limitations do not hinder the validity and importance of the authors’ findings.
Originality/value
– The originality of this article lies in the use of an object-oriented behavioural model and in the resulting model application that is based on it. This enables the authors to run a series of simulations with different parameters, the results of which the authors can then compare. The authors’ findings can contribute to the authorities’ efforts to ameliorate the policies of Basel III.
Reference59 articles.
1. Allen, B.
,
Chan, K.K.
,
Milne, A.
and
Thomas, S.
(2012), “Basel III: is the cure worse than the disease?”,
International Review of Financial Analysis
, Vol. 25, pp. 159-166.
2. Arif, A.
and
Anees, A.N.
(2012), “Liquidity risk and performance of banking system”,
Journal of Financial Regulation and Compliance
, Vol. 20 No. 2, pp. 182-195.
3. Aspachs, O.
,
Goodhart, C.A.
,
Tsomocos, D.P.
and
Zicchino, L.
(2007), “Towards a measure of financial fragility”,
Annals of Finance
, Vol. 3 No. 1, pp. 37-74.
4. Beltratti, A.
and
Stulz, R.M.
(2009), “Why did some banks perform better during the credit crisis? A cross-country study of the impact of governance and regulation”, Fisher College of Business Working Paper No. 2009-03-012.
5. Bilina, R.
and
Lawford, S.
(2012), “Python for unified research in econometrics and statistics”,
Econometric Reviews
, Vol. 31 No. 5, pp. 558-591.
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献