Kondova, Galia

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Kondova
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Galia
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Kondova, Galia

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2018 - 20193
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Autor:in: Bandyopadhyay, Trishit ×

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Gerade angezeigt 1 - 3 von 3
  • Vorschaubild nicht verfügbar
    Publikation
    The impact of non-bank lending on bank efficiency: data envelopment analysis of european banks
    (2019) Kondova, Galia; Bandyopadhyay, Trishit
    This paper applies a data envelopment analysis (DEA) to study the effect of non-bank financial intermediation on bank efficiency in the eight EU jurisdictions individually monitored under the Financial Stability Board (FSB) Global Shadow Banking Monitoring Report in the period 2014-2016. The efficiency analysis is conducted by applying a profit-based input-oriented DEA variable returns-to-scale model in a two-stage procedure. In the first stage, the average DEA efficiency scores are calculated. We find evidence that the average aggregate technical efficiency increased on average from 2014 to 2016. In the second stage, the impact of environmental factors like the Financial Stability Board’s (FSB) narrow measure on non-bank financial intermediation as well as macroeconomic factors is analyzed by conducting a Tobit regression. The results provide evidence of a negative relationship between non-bank financial intermediation and average bank efficiency and a positive impact of GDP on average bank efficiency.
    06 - Präsentation
  • Vorschaubild
    Publikation
    Swiss Cantonal Banks: A DEA Efficiency and Productivity Analysis
    (Horizon, 30.05.2018) Kondova, Galia; Bandyopadhyay, Trishit; Bobst, David; Hummel, Tobias [in: Universal Journal of Accounting and Finance]
    This paper applies a data envelopment analysis (DEA) to study the efficiency and productivity changes in the Swiss cantonal bank sector in the period 2006-2014. The efficiency analysis is conducted by applying the production input-oriented DEA variable returns to scale model in a three-stage procedure. The productivity is studied by estimating a DEA-based Malmquist Productivity Index (MPI) that provides evidence of increasing productivity growth on average for the sector in the studied period. The main source of productivity growth as per the components of the Banker, Charnes and Cooper (BCC) MPI model is related to a frontier-shift (technological innovation) rather than to improvements in the technical efficiency. The decreasing average DEA scores in the post-global financial crisis period of 2008-2014 further support this finding. In the second stage of the efficiency analysis, the environmental factors influencing the productivity growth are analysed by conducting a general method of moments (GMM) regression. The results provide evidence of a positive and statistically significant relationship between the new annual residences per canton and technical efficiency. In the third stage, the environmental variables from the second-stage regression are included within the constraints of the first-stage DEA model as proposed by Ray [1]. The third-stage DEA scores support the evidence of slightly decreasing average post-global crisis technical efficiency. The overall average technical efficiency in the Swiss cantonal banking sector, however, remains at a relatively high level in the studied period.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Swiss Cantonal Banks: A DEA Efficiency and Productivity Analysis
    (Horizon Research Publishing, 2018) Bandyopadhyay, Trishit; Bobst, David; Hummel, Tobias; Kondova, Galia [in: Universal Journal of Accounting and Finance]
    This paper applies a data envelopment analysis (DEA) to study the efficiency and productivity changes in the Swiss cantonal bank sector in the period 2006-2014. The efficiency analysis is conducted by applying the production input-oriented DEA variable returns to scale model in a three-stage procedure. The productivity is studied by estimating a DEA-based Malmquist Productivity Index (MPI) that provides evidence of increasing productivity growth on average for the sector in the studied period. The main source of productivity growth as per the components of the Banker, Charnes and Cooper (BCC) MPI model is related to a frontier-shift (technological innovation) rather than to improvements in the technical efficiency. The decreasing average DEA scores in the post-global financial crisis period of 2008-2014 further support this finding. In the second stage of the efficiency analysis, the environmental factors influencing the productivity growth are analysed by conducting a general method of moments (GMM) regressi
    01A - Beitrag in wissenschaftlicher Zeitschrift