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Sentiment-based Financial Stress Index for Hungary

Author

Listed:
  • Beáta Horváth

    (Magyar Nemzeti Bank (Central Bank of Hungary))

  • Tamás Berki

    (Magyar Nemzeti Bank (Central Bank of Hungary))

  • Lívia Réka Ónozó

    (Magyar Nemzeti Bank (Central Bank of Hungary))

  • Csanád Temesvári

    (Magyar Nemzeti Bank (Central Bank of Hungary))

Abstract

This paper proposes a sentiment-based financial stress indicator for Hungary based on occurrence of financial crisis related terms and explores its relationship with macrofinancial variables related to financial uncertainty. Sentiment analysis was conducted on textual data from two major Hungarian news portals covering the period from 2005 to 2020. The terms used in the analysis carry negative connotations, making them suitable for capturing financial instability and stress. The index successfully identifies stress periods that are not adequately reflected by other available sentiment indices related to Hungary. Overall, we propose a novel type of index that enables timely, even real-time monitoring of financial stress situation in Hungary across different time frequencies.

Suggested Citation

  • Beáta Horváth & Tamás Berki & Lívia Réka Ónozó & Csanád Temesvári, 2026. "Sentiment-based Financial Stress Index for Hungary," MNB Working Papers 2026/3, Magyar Nemzeti Bank (Central Bank of Hungary).
  • Handle: RePEc:mnb:wpaper:2026/3
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    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises

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