Determinan risiko sistemik perbankan Indonesia: Aplikasi metode marginal expected shortfall

Determinan risiko sistemik perbankan Indonesia: Aplikasi metode marginal expected shortfall

Authors

  • Mutiara Hikmah Fakultas Ekonomi dan Bisnis, Universitas Indonesia
  • Buddi Wibowo universitas Indonesia

DOI:

https://doi.org/10.24914/jeb.v23i1.2475

Keywords:

systemic risk, marginal expected shortfall, bank capital loss

Abstract

The purpose of this study is to measure systemic risk with a method that is able to calculate predictions of bank capital losses  when the market is in a crisis, namely Marginal Expected Shortfall (MES) and empirically  test the factors that influence it. Systemic risk arises when banks experiencing capital losses and  transmit the problem to other banks and to other financial companies so that the financial system collapses. This MES model has advantages over other systemic risk measurement models because it is calculated with data available in the market, namely stock prices and volatility so that we can measure each bank’s impact to banking  systemic risks. This study shows that control variable such as Non-Performing Loans (NPL) influence systemic risk but other variables such as CAR, and bank profitability (ROA) do not have significant effect on systemic risk.

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Published

2020-02-10

How to Cite

Hikmah, M., & Wibowo, B. (2020). Determinan risiko sistemik perbankan Indonesia: Aplikasi metode marginal expected shortfall: Determinan risiko sistemik perbankan Indonesia: Aplikasi metode marginal expected shortfall. Jurnal Ekonomi Dan Bisnis, 23(1), 19–36. https://doi.org/10.24914/jeb.v23i1.2475

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