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Book
Bank Bailouts, Competition, and the Disparate Effects for Borrower and Depositor Welfare
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Year: 2013 Publisher: Washington, D.C., The World Bank,

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Abstract

This paper investigates how government interventions into banking systems such as blanket guarantees, liquidity support, recapitalizations, and nationalizations affect banking competition. This debate is important because the pricing of banking products has implications for borrower and depositor welfare. Exploiting data for 124 countries that witnessed different policy responses to 41 banking crises, and using difference-in-difference estimations, the paper presents the following key results: (i) Government interventions reduce Lerner indices and net interest margins. This effect is robust to a battery of falsification and placebo tests, and the competitive response also cannot be explained by alternative forces. The competition-increasing effect on Lerner indices and net interest margins is also confirmed once the non-random assignment of interventions is accounted for using instrumental variable techniques that exploit exogenous variation in the electoral cycle and in the design of the regulatory architecture across countries. (ii) Consistent with theoretical predictions, the competition-increasing effect of government interventions is greater in more concentrated and less contestable banking sectors, but the effects are mitigated in more transparent banking systems. (iii) The competitive effects are economically substantial, remain in place for at least 5 years, and the interventions also coincide with an increase in zombie banks. The results therefore offer direct evidence of the mechanism by which government interventions contribute to banks' risk-shifting behavior as reported in recent studies on bank level runs via competition. (iv) Government interventions disparately affect bank customers' welfare. While liquidity support, recapitalizations, and nationalizations improve borrower welfare by reducing loan rates, deposit rates decline. The empirical setup allows quantifying these disparate effects.


Book
Financial Statistics and Data Analytics
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.


Book
Financial Statistics and Data Analytics
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.


Book
Financial Statistics and Data Analytics
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Export citation

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Bookmark

Abstract

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.

Keywords

Coins, banknotes, medals, seals (numismatics) --- Index parameter --- estimation --- wrapped stable --- Hill estimator --- characteristic function-based estimator --- asymptotic --- efficiency --- GARCH model --- HARCH model --- PHARCH model --- Griddy-Gibs --- Euro-Dollar --- safe-haven assets --- gold price --- Swiss Franc exchange rate --- oil price --- generalized Birnbaum–Saunders distributions --- ACD models --- Box-Cox transformation --- high-frequency financial data --- goodness-of-fit --- banking competition --- credit risk --- NPLs --- Theil index --- convergence analysis --- interest rates --- yeld curve --- no-arbitrage --- bonds --- B-splines --- time series --- multifractal processes --- fractal scaling --- heavy tails --- long range dependence --- financial models --- Bitcoin --- capital asset pricing model --- estimation of systematic risk --- tests of mean-variance efficiency --- t-distribution --- generalized method of moments --- multifactor asset pricing model --- Lerner index --- stochastic frontiers --- shrinkage estimator --- seemingly unrelated regression model --- multicollinearity --- ridge regression --- financial incentives --- public service motivation --- job performance --- job satisfaction --- intention to leave --- Index parameter --- estimation --- wrapped stable --- Hill estimator --- characteristic function-based estimator --- asymptotic --- efficiency --- GARCH model --- HARCH model --- PHARCH model --- Griddy-Gibs --- Euro-Dollar --- safe-haven assets --- gold price --- Swiss Franc exchange rate --- oil price --- generalized Birnbaum–Saunders distributions --- ACD models --- Box-Cox transformation --- high-frequency financial data --- goodness-of-fit --- banking competition --- credit risk --- NPLs --- Theil index --- convergence analysis --- interest rates --- yeld curve --- no-arbitrage --- bonds --- B-splines --- time series --- multifractal processes --- fractal scaling --- heavy tails --- long range dependence --- financial models --- Bitcoin --- capital asset pricing model --- estimation of systematic risk --- tests of mean-variance efficiency --- t-distribution --- generalized method of moments --- multifactor asset pricing model --- Lerner index --- stochastic frontiers --- shrinkage estimator --- seemingly unrelated regression model --- multicollinearity --- ridge regression --- financial incentives --- public service motivation --- job performance --- job satisfaction --- intention to leave

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