Indirect Convertibility,Equity‐Based Banking and Financial Stability

Banking reform proposals put forward in the wake of the recent financial crisis maintain that equity‐based banking would be stable and would prevent bank runs. This article argues that complementing this form of banking with an indirect convertibility monetary standard and thereby dispensing with base money would enhance financial stability further. Banks would not hold a distinctive asset (base money) that would be called upon by customers at short notice, thereby removing the possibility of bank runs. No discrepancy in value between the two sides of a bank's balance sheet would arise as its assets (securitised loans) would be marked to market. Unlike other recent contributions, the intermediation model outlined here is not ‘limited purpose’ in nature as banks would not be restricted in the form of lending activity they can pursue. Common sources of banking and financial instability – liquidity risk, solvency risk, moral hazard – would be absent.     

The synergistic effect of insurance and banking sector activities on economic growth in Africa

It is widely understood that the insurance and banking sectors of every economy perform some functions in driving economic growth. What is not yet well documented is whether their roles are complimentary or substitutive. With the aid of the dynamic panel generalized method of moments (GMM) estimation technique, this paper evaluates the synergistic effect of both sectors on economic growth in a panel of 10 African countries that are responsible for most of the activities in the continent’s financial sector. The insurance-banking-growth nexus was also examined through bootstrap panel causality tests. The results show that the life insurance market and the banking sector, as well as the non-life insurance market and the banking sector, are complimentary. We find that, overall, the relationship between the insurance and banking sectors in Africa is a complimentary one and that their synergistic impact on economic growth is positive. The feedback hypothesis was also confirmed in the relationship between the insurance sector and economic growth and between the banking sector and economic growth.     

What drives credit risk in the Indian banking industry? An empirical investigation

Using a two-step system GMM approach on a unique bank-level dataset for the period 1998/99–2013/14, this paper tries to explore the key determinants of credit risk in the Indian banking industry. The main premise of this paper is that, along with regulatory and institutional factors, both macroeconomic and bank-specific variables influence the formation of credit risk in a banking system, and their influences vary across ownership groups. The empirical findings suggest that lower profitability, more diversification in the banking business, the large size of banks and a higher concentration of banks in lending increase the probability of defaults in India. We find a significant degree of persistence in credit risk, and the observed persistence is higher in the gross non-performing loans (NPLs) specification relative to what has been observed in the net NPLs specification. In the case of public sector banks, NPLs are more sensitive to internal bank-specific factors, while for private and foreign banks, macroeconomic and industry-related factors play a significant role in determining credit risk. Our results are robust for different panel data estimation models and sub-samples of ownership groups. The findings of this paper provide important insights into the formation of default risk in the banking system of an emerging market economy.     

Fat tails and spurious estimation of consumption‐based asset pricing models

The standard generalized method of moments (GMM) estimation of Euler equations in heterogeneous‐agent consumption‐based asset pricing models is inconsistent under fat tails because the GMM criterion is asymptotically random. To illustrate this, we generate asset returns and consumption data from an incomplete‐market dynamic general equilibrium model that is analytically solvable and exhibits power laws in consumption. Monte Carlo experiments suggest that the standard GMM estimation is inconsistent and susceptible to Type II errors (incorrect nonrejection of false models). Estimating an overidentified model by dividing agents into age cohorts appears to mitigate Type I and II errors.     

THE EU/IMF RESCUE PROGRAMME FOR IRELAND: 2010–13

The EU/IMF €85 billion rescue of the Irish economy required Ireland to address critical problems in banking and bank regulation, the public finances and structural reform. Ireland must also address weak expertise in economics in the public sector and in banking, rent‐seeking, regulatory capture, moral hazard, lack of accountability and failures of corporate governance.     

关于中国银行集中度风险的实证研究

本文采用熵值法分析银行业的集中程度。实证结果表明,熵值与银行业的风险是正相关,而熵值与银行集中度是负相关,也就是说银行的集中度越高,风险就越小,银行系统也就越安全。由此可以得出以下结论:开放经济情况下,银行业集中度的提高可以降低风险,尤其是在外部经济不确定的情况下,更应保持金融力量的集中,以此来对抗危机的冲击。     

Leader‐member exchangeand job satisfacton: Cross‐industry comparisons and predicted employee turnover

The present research analyzes quality of leader‐member exchange (LMX) and job satisfaction and predicts employee turnover rates in the food manufacturing, restaurant, and banking industries resulting from low‐quality LMX and job dissatisfaction. It confirms the reliability and construct validity of the well‐known LMX scale and Minnesota Job Satisfaction Questionnaire (MSQ) in cross‐industry comparisons. It also identifies the shape of the hypothesized relationships among the three industries. Comparisons indicate that in the service sector, quality of LMX is significantly higher than in manufacturing, that the level of job satisfaction is higher in manufacturing than in service, and that satisfaction with supervision has a significant impact on job satisfaction.     

The taxation of bonuses and its effect on executive compensation and risk‐taking: Evidence from the UK experience

This paper explores the effects of a bonus tax adopted in the UK in December 2009 on the compensation structure of executives and on risk‐taking behavior in the financial sector. Excessive bonuses are blamed for encouraging risk taking and are regarded as one of the pull factors of the financial crisis. The British government attempted to reduce bonuses and accordingly bank risk taking by means of a special tax on cash‐based bonuses. Using a comprehensive dataset on executive compensation, we show that the introduction of the bonus tax decreased the net cash bonuses awarded to directors by about 40%, accompanied, however, by a simultaneous increases in other forms of pay leaving total compensation as well as risk levels unaffected.     

Risk spillover analysis of China’s financial sectors based on a new GARCH copula quantile regression model

This study employs a new GARCH copula quantile regression model to estimate the conditional value at risk for systemic risk spillover analysis. To be specific, thirteen copula quantile regression models are derived to capture the asymmetry and nonlinearity of the tail dependence between financial returns. Using Chinese stock market data over the period from January 2007 to October 2020, this paper investigates the risk spillovers from the banking, securities, and insurance sectors to the entire financial system. The empirical results indicate that (i) three financial sectors contribute significantly to the financial system, and the insurance sector displays the largest risk spillover effects on the financial system, followed by the banking sector and subsequently the securities sector; (ii) the time-varying risk spillovers are much larger during the global financial crisis than during the periods of the banking liquidity crisis, the stock market crash and the COVID-19 pandemic. Our results provide important implications for supervisory authorities and portfolio managers who want to maintain the stability of China’s financial system and optimize investment portfolios.     

国有商业银行操作风险控制结构体系研究——基于探索性因子分析和验证性因子分析框架的检验

新巴塞尔资本协议认为,银行经营的核心内容是风险管理,而操作风险管理正变为银行业风险管理的重要因素。建立我国商业银行操作风险控制战略结构模型可以对我国商业银行的风险管理实践提供全面的指导,大幅度提高银行业的风险控制效率。因子分析可以对模型的有效性和合理性提供实证检验,从而得出我国商业银行操作风险管理实践中若干现实性的结论。     

GMM Estimation with Non‐causal Instruments*

This note provides a warning against careless use of the generalized method of moments (GMM) with time series data. We show that if time series follow non‐causal autoregressive processes, their lags are not valid instruments, and the GMM estimator is inconsistent. Moreover, endogeneity of the instruments may not be revealed by the J‐test of overidentifying restrictions that may be inconsistent and has, in general, low finite‐sample power. Our explicit results pertain to a simple linear regression, but they can easily be generalized. Our empirical results indicate that non‐causality is quite common among economic variables, making these problems highly relevant.     

Sustainability in The Banking Industry: A Strategic Multi‐Criterion Analysis

The current paper aims to develop an effective and integrated MCDM model for the evaluation of the sustainability practices in the banking services, employing a multi‐stage, fuzzy MCDM model that integrates the Balanced Scorecard, fuzzy AHP and fuzzy TOPSIS. The approach aims to evaluate sustainability from the following four perspectives: financial stability, customer relationship management, internal business process and environment‐friendly management system. A real implementation dealing with the six largest commercial banks in India is discussed. The results highlights the critical aspects of the evaluation criteria and the issues in improving sustainable banking performances. Regarding the sustainability issues, it is shown that the environment‐friendly management system takes a back seat compared with the other criteria. Furthermore, the results show that there is a misunderstanding of the role that corporate social responsibility plays with respect to environmental issues. The developed evaluation model offers a valuable management tool for banks' administrators by assisting them in strategic choices in order to achieve their objective of sustainability and sustainable banking. Moreover, it offers a measuring tool with unique features that complements the emerging trend of integrated reporting considering uncertainty. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

The role of banking regulation in an economy under credit risk and liquidity shock

This paper develops a Dynamic Stochastic General Equilibrium model which includes a financial sector to analyze the effects of liquidity shock and credit risk in the Brazilian economy. Banks use equity capital and deposits from agents to finance investments of the productive sector. The sources of financial frictions are default rate and liquidity shock, due to deposits withdrawn in advance. The banking supervisor injects liquidity in the deposit market. Using data for the Brazilian economy in the period from 1995 to 2009, the structural parameters are estimated by Bayesian methods. Impulse response functions are computed to describe the dynamic effects of exogenous shocks. The major results show that credit risk is pro-cyclical and default risk depends on structural features. The banking regulator is able to set up a policy to promote financial stability and efficiently reduce fluctuations in the output.     

Structural changes,competition and bank stability in Malaysia’s dual banking system

This paper assesses Malaysia’s competition landscape and its risk implications subsequent to conventional banking consolidation and Islamic banking penetration in the aftermath of the 1997/1998 Asian financial crisis. Employing a panel sample of conventional and Islamic commercial banks, it arrives at the following conclusions. First, the consolidation exercise, which has led to a significant reduction in the number of domestic commercial banks, has not stifled banking competition. Second, the paper provides empirical support for the competition-stability relationship, particularly for the conventional banking sector. Islamic banking sector risk appears to be neutral to market competition or market power, although there is limited evidence that it increases with overall market concentration. Finally, the analysis uncovers the risk-increasing effect of the Islamic banking market structure on the conventional banking sector. By contrast, conventional banking market concentration tends to reduce the credit risk of Islamic banks.     

The Dynamics of Influence in Corporate Co‐Evolution

This paper aims to offer new theoretical and empirical insights into co‐evolutionary development. Theoretically, it advances a political perspective which focuses on the role of power and how this can be translated into influence as an evolutionary driver through the relational framework between an organization and external parties. Empirically, the paper elaborates this perspective by reference to how China's largest container terminal evolved within a changing environment, and how its evolution in turn impacted on the evolution of its sector. In this case, the key relational framework was that between the organization and government institutions. Application of a political perspective to the case study suggests a theoretical model that can inform future research and practice.     

金融发展对环境规制提升工业绿色全要素生产率的创新补偿效应

以金融发展为切入点,探讨环境规制对工业绿色全要素生产率的影响。研究结果显示,不同融资模式的金融发展对环境规制提升工业绿色全要素生产率均存在创新补偿效应,且股票市场的创新补偿效应最大,银行部门次之,民间金融最小。分区域的估计结果显示,东部地区银行部门不存在创新补偿效应,其余地区的估计结果与整体一致。进一步的门槛检验结果显示,银行部门和民间金融均存在单一门槛,且呈现正向边际效率递增的非线性规律。     

内部控制质量、资本结构与银行风险承担——货币政策与股权集中度的调节作用

本文选取2009—2018年中国24家上市银行年度数据,采用面板模型对内部控制质量对银行风险承担的影响及其作用机制进行实证分析。研究结果表明：（1）内控质量对银行风险承担具有抑制作用。内控质量提高有助于提升银行部门间贷款信息传递及风险协同控制效率,由此降低银行风险承担。相对于非国有、低联结度与高权力度银行,内控质量对国有、高联结度与低权力度银行风险承担的影响力度更大。（2）资本结构在内控质量与银行风险承担的关系中承担着中介作用,内控质量通过影响资本结构来影响银行风险承担,“内控质量—资本结构—银行风险承担”的传导渠道有效。（3）货币政策对内控质量与银行风险承担关系具有非对称性调节作用。高利率货币政策会减弱内控质量对银行风险承担的抑制作用,宽松货币政策会加剧内控质量对银行风险承担的抑制作用。（4）股权集中度提高会减弱内控质量对银行风险承担的抑制作用,这归于控制权过度引发的关联贷款风险集聚效应对冲了内控质量对银行风险承担的抑制效应。本文研究结论可为防控中国银行部门单体风险及金融系统性风险提供重要的理论指导与决策参考。     

Determinants of bank interest margins in Russia: Does bank ownership matter?

This paper analyzes interest margin determinants in the Russian banking sector with a particular emphasis on the bank ownership structure. Using unique bank-level data covering Russia's entire banking sector for the 1999–2007 period, we find that the impact of a number of commonly used determinants such as market structure, credit risk, liquidity risk and size of operations differs across state-controlled, domestic-private and foreign-owned banks. At the same time, the influence of operational costs and risk aversion is homogeneous across ownership groups. The results overall suggest that the form of bank ownership needs to be considered when analyzing interest margin determinants.     

GMM Estimation with Non‐causal Instruments under Rational Expectations*

Lanne and Saikkonen [Oxford Bulletin of Economics and Statistics (2011a) Vol. 73, pp. 581–592], show that the generalized method of moments (GMM) estimator is inconsistent, when the instruments are lags of variables that admit a non‐causal autoregressive representation. This article argues that this inconsistency depends on distributional assumptions, that do not always hold. In particular under rational expectations, the GMM estimator is found to be consistent. This result is derived in a linear context and illustrated by simulation of a nonlinear asset pricing model.     

中国影子银行部门系统性风险的形成、影响与应对

本文分析了影子银行风险传染机制及其影响,在违约风险基于会计账户传染的马尔科夫过程假设下,运用投入产出法构建影子银行系统性风险测度模型,以2007-2012年中国影子银行业务数据进行检验,结果显示：信托公司部门是主要的风险源,银行部门是系统性风险最主要的承担者,观测期内影子银行部门系统性风险整体呈现上升趋势。防控系统性风险应从影子银行业务风险隔离机制、资本与杠杆率监管、信息透明度、宏观审慎框架和风险应急机制等建设着手。