The effectiveness of TARP-CPP on the US banking industry: A new copula-based approach

Silvia Angela Osmetti, Raffaella Calabrese, Marta Degl'Innocenti

Risultato della ricerca: Contributo in rivistaArticolo in rivista

17 Citazioni (Scopus)

Abstract

Following the 2008 financial crisis, regulatory authorities and governments provided distressed banks with equity infusions in order to strengthen national banking systems. However, the effectiveness of these interventions for financial stability has not been extensively researched in the literature. In order to understand the effectiveness of these bailouts for the solvency of banks this paper proposes a new model: the Longitudinal Binary Generalised Extreme Value (LOBGEV) model. Differing from the existing models, the LOBGEV model allows us to analyse the temporal structure of the probability of failure for banks, for both those that received a bailout and for those that did not. In particular, it encompasses both the flexibility of the D-vine copula and the accuracy of the generalised extreme value model in estimating the probability of bank failure and of banks receiving approval for capital injection. We apply this new model to the US banking system from 2008 to 2013 in order to investigate how and to what extent the Troubled Asset Relief Program (TARP)-Capital Purchase Program (CPP) reduced the probability of the failure of commercial banks. We specifically identify a set of macroeconomic and bank-specific factors that affect the probability of bank failure for TARP-CCP recipients and for those that did not receive capital under TARP-CCP. Our results suggest that TARP-CPP provided only short-term relief for US commercial banks.
Lingua originaleEnglish
pagine (da-a)1029-1037
Numero di pagine9
RivistaEuropean Journal of Operational Research
Volume256
DOI
Stato di pubblicazionePubblicato - 2017

Keywords

  • D-vine copula
  • copula model

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