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
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