Stress testing market factors of the spread of financial contagion

  • Andriy Verstyak Yuri Fedkovich Chernivtsi National University
  • Vitaliy Nykolyuk Bukovina State Finance and Economics University

Abstract

Purpose and subject of researchThe subject of research is the spread of financial market factors infections. The aim of the study is to develop a special algorithm to determine the expected impact on the change in risk factors in the case of different scenarios.Research methodologyUsed parametric approach, the method of random scenarios, Boolean Bayesian network.Value resultsThe model allows the use of the characteristics that affect the distribution of financial infections: changes in interest rates, oil prices, gold, changes in profitability, other indexes (S & P 500) and others.ConclusionsThus, the model stress testing reveals how financial stability at the front of forecasts and provides an understanding of the possible vulnerability. Although extreme events can not be predicted, study their impact on the effectiveness of the organization strengthens the understanding of the situation.

Author Biographies

Andriy Verstyak, Yuri Fedkovich Chernivtsi National University
Cand.econ.sci., as.prof., Yuri Fedkovich Chernivtsi National University
Vitaliy Nykolyuk, Bukovina State Finance and Economics University
Bukovina State Finance and Economics University,assistant professor

References

Rebonato, R.A. (2010), “Bayesian approach to stress testing and scenario analysis”, Journal of Investment Management, pp. 121-135.

Attilio Meucci Fully Flexible Views: Theory and Practice, available at: http://sсrn.com/abstract=1413325

Meucci, A. Fully flexible views with parametric multivariate distributions, available at: http://scrn.com/abstract=1143549.

Meucci, A. Historical scenarios with Fully Flexible Probabilities, GARP Risk Professional, available at: http://symnys.com/node/152.

Meucci A. Effective number of scenarios with Fully Flexible Probabilities, GARP Risk Professional, available at: http://symnys.com/node/162.

Section
Econometrics (methods of statistical analysis and forecasting)