most citedBusiness Model Contributions to Bank Profit Performance: A Machine Learning Approach

14 citations · 34 across the 5 of their papers we have counts for

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5 papers

econ.GN202414 cited

Business Model Contributions to Bank Profit Performance: A Machine Learning Approach

F. Bolivar, Miguel A. Duran, A. Lozano-Vivas

This paper analyzes the relation between bank profit performance and business models. Using a machine learning-based approach, we propose a methodological strategy in which balance…

econ.GN202411 cited

Bank Business Models, Size, and Profitability

F. Bolivar, M. A. Duran, A. Lozano-Vivas

To examine the relation between profitability and business models (BMs) across bank sizes, the paper proposes a research strategy based on machine learning techniques. This strateg…

econ.GN2024

The Risk-Return Relation in the Corporate Loan Market

Miguel A. Duran

This paper analyzes the hypothesis that returns play a risk-compensating role in the market for corporate revolving lines of credit. Specifically, we test whether borrower risk and…

econ.GN20244 cited

Pricing and Usage: An Empirical Analysis of Lines of Credit

Miguel A. Duran

The hypothesis that committed revolving credit lines with fixed spreads can provide firms with interest rate insurance is a standard feature of models on these credit facilities' i…

q-fin.RM20245 cited

Are Charter Value and Supervision Aligned? A Segmentation Analysis

Juan Aparicio, Miguel A. Duran, Ana Lozano-Vivas +1

Previous work suggests that the charter value hypothesis is theoretically grounded and empirically supported, but not universally. Accordingly, this paper aims to perform an analys…