Early Warning Indicators Study Of Bank Runs In Indonesia : Markov-Switching Approach
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Abstract
Suggested Citation
DOI: https://doi.org/10.21098/bemp.v15i1.414
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Citations
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Cited by:
- Demosthenes Tambakis, 2021.
"A Markov chain measure of systemic banking crisis frequency,"
Applied Economics Letters, Taylor & Francis Journals, vol. 28(16), pages 1351-1356, September.
- Tambakis, D., 2020. "A Markov-Chain Measure of Systemic Banking Crisis Frequency," Cambridge Working Papers in Economics 2083, Faculty of Economics, University of Cambridge.
- Thibaut Duprey & Benjamin Klaus, 2017.
"How to Predict Financial Stress? An Assessment of Markov Switching Models,"
Staff Working Papers
17-32, Bank of Canada.
- Duprey, Thibaut & Klaus, Benjamin, 2017. "How to predict financial stress? An assessment of Markov switching models," Working Paper Series 2057, European Central Bank.
- Vakhtina, Elena & Wosnitza, Jan Henrik, 2015. "Capital market based warning indicators of bank runs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 304-320.
- Berry A. Harahap & Pakasa Bary & Anggita Cinditya M. Kusuma, 2020.
"The Determinants of Indonesia’s Business Cycle,"
Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(special i), pages 215-235.
- Berry A. Harahap & Pakasa Bary & Anggita Cinditya M. Kusuma, 2018. "The Determinants Of Indonesian Business Cycle," Working Papers WP/30/2018, Bank Indonesia.
More about this item
Keywords
Bank Runs; Early Warning Indicators; Markov-Switching;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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