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Maturity structure of banking transactions and its role in predicting negative net worth of banks

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F20%3A00525451" target="_blank" >RIV/00216208:11640/20:00525451 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.31477/rjmf.202002.70" target="_blank" >https://doi.org/10.31477/rjmf.202002.70</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.31477/rjmf.202002.70" target="_blank" >10.31477/rjmf.202002.70</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Maturity structure of banking transactions and its role in predicting negative net worth of banks

  • Popis výsledku v původním jazyce

    In this paper, we perform a microeconomic analysis of positive and negative imbalances in the maturity structure of Russian banks’ transactions. In particular, using Heckman selection models at the cross-section of Russian banks, we test the ability of such imbalances to predict the probability of the detection of banks’ negative net worth and its expected magnitude in advance (three months before negative worth detection). The estimation results show that, first, certain indicators of imbalances do offer ‘value added’ in predicting ‘holes’ in banks’ capital: taking into account these imbalances in banks’ short- and medium-term transactions with households and short- term transactions with enterprises improves the quality of out-of- sample forecasts. Second, the very division into positive and negative imbalances makes sense: the effects are in many cases found to be opposite with respect to the size and likelihood of negative net worth detection at banks. Third, a separate analysis of banking transactions with households and those with businesses is also of great importance: the effect of imbalances in transactions similar in maturity structure but with different types of economic agents is in many cases opposite in sign. The results may be useful for the Bank of Russia in identifying potentially fragile banks as part of its prudential policy.

  • Název v anglickém jazyce

    Maturity structure of banking transactions and its role in predicting negative net worth of banks

  • Popis výsledku anglicky

    In this paper, we perform a microeconomic analysis of positive and negative imbalances in the maturity structure of Russian banks’ transactions. In particular, using Heckman selection models at the cross-section of Russian banks, we test the ability of such imbalances to predict the probability of the detection of banks’ negative net worth and its expected magnitude in advance (three months before negative worth detection). The estimation results show that, first, certain indicators of imbalances do offer ‘value added’ in predicting ‘holes’ in banks’ capital: taking into account these imbalances in banks’ short- and medium-term transactions with households and short- term transactions with enterprises improves the quality of out-of- sample forecasts. Second, the very division into positive and negative imbalances makes sense: the effects are in many cases found to be opposite with respect to the size and likelihood of negative net worth detection at banks. Third, a separate analysis of banking transactions with households and those with businesses is also of great importance: the effect of imbalances in transactions similar in maturity structure but with different types of economic agents is in many cases opposite in sign. The results may be useful for the Bank of Russia in identifying potentially fragile banks as part of its prudential policy.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    50202 - Applied Economics, Econometrics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Russian Journal of Money and Finance

  • ISSN

    0130-3090

  • e-ISSN

  • Svazek periodika

    79

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    RU - Ruská federace

  • Počet stran výsledku

    31

  • Strana od-do

    70-100

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus