Return on Investment on Artificial Intelligence: the Case of Bank Capital Requirement

2022 ◽  
pp. 106401
Author(s):  
Henri Fraisse ◽  
Mathias Laporte
2020 ◽  
Vol 12 (3) ◽  
pp. 139-174 ◽  
Author(s):  
Frederic Malherbe

I study economies where banks do not fully internalize the social costs of their lending decisions, which leads to real overinvestment. The bank capital requirement that restores investment efficiency varies over time. During booms, more investment is desirable, so the banking sector must be allowed to expand. This suggests a loosening of the requirement. However, there is also more bank capital. Since the banking sector exhibits decreasing returns to scale, this suggests a tightening instead. I find that the latter effect, which I dub the “bank capital channel,” dominates: the optimal capital requirement is tighter during booms than in recessions. (JEL E32, E44, G21, G28, G32)


2015 ◽  
Vol 5 (2) ◽  
pp. 142-159 ◽  
Author(s):  
Enzo Scannella ◽  
Giuseppe Blandi

Operational risk management in banking has assumed such importance during the last decade. It has become increasingly important to measure, manage, and assess the impact of operational risk in the economics of banking. The purpose of this paper is to demonstrate how an effective operational risk management provides mitigating effects on capital-at-risk in banking. The paper provides evidences that an implementation of an operational risk transfer strategy reduces bank capital requirement. The paper adopts the loss distribution approach, the Monte Carlo simulation, and copula methodologies to estimate the regulatory capital and simulate an operational risk transfer strategy in banking.


2016 ◽  
Vol 52 (10) ◽  
pp. 2267-2291 ◽  
Author(s):  
Carlos de Resende ◽  
Ali Dib ◽  
René Lalonde ◽  
Nikita Perevalov

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