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This study investigates how bank competition affects financial stability and whether government intervention contributes to shaping this relationship in North African countries.

A review of the literature on the subject was conducted, combined with an empirical analysis that used a two-step system generalized method of moments (GMM) and a sample of 45 banks operating in North African countries over the period 2005–2019.

The findings reveal a quadratic relationship between competition and banking stability in North African countries. Competition–stability view and competition–fragility view could be applied at the same time for North African banks. Additionally, in this context, results highlight a negative impact of government intervention on financial stability in a competitive financial sector. North African banks operating in a high government intervention quality environment tend to engage in high-risk investments. Robustness checks with alternative measures of competition and banking stability also show consistent results.

To the authors’ knowledge, this is the first time that the North African context has been explored to determine the role of the quality of government intervention in the relationship between competition and banking system fragility. This paper seeks to cover the shadow field in existing literature through further new information. Thus, it contributes to the emerging market banking literature by showing that both high and low levels of competition can improve financial stability in North African countries. Moreover, it expands its contribution by displaying the moderator effect of intervention quality on the bank competition–stability relationship.

The purpose of this paper is to examine the effects of the government intervention and bank competition on small and medium enterprise (SME) external debt financing in Chinese capital market.

This study uses ordinary least squares with standard errors clustered at the firm level. In addition, the authors use the dynamic system generalized method of moments to address the possible endogeneity issue in the regressions.

Using a sample of 908 firms from 2000 to 2010, the authors found that SMEs are more likely to access bank loans only in regions with higher level of government intervention than median government intervention. Further, the result shows that the government is motivated to help SMEs to obtain more external debt in regions where the level of bank competition is lower than the median bank competition index. Last, the authors found evidence that firms with politically connected CEOs are likely to access bank loans.

This paper highlights that government intervention enables the SMEs to secure more bank loans. Second, the authors’ results imply that the government is motivated to help SMEs to obtain more external debt in regions with low level of bank competition.

This study contributes to the current literature by revealing that government intervention is the driving force alleviating SMEs’ constraints in accessing external financing. Second, this study finds the evidence to supports the argument that government has a strong motive to help SMEs to secure long-term credits for political purpose (Fan et al., 2012), when the level of bank competition is low (Berger and Udell, 2006).

Artificial intelligence (AI) is used by banking services primarily to automate systems; however, this ecosystem does not work in emerging markets because human intervention is needed, and there are concerns related to infrastructure. There is plenty of research on AI-mediated banking services, but the existing discussions are cumbersome, and studies on AI's service features in banking for emerging markets are limited. Furthermore, the ongoing discussions are centred on developed markets where automation in banking services is noteworthy and accepted. Through this paper, the authors emphasise the relevance of AI mediation in emerging markets and the possible role of strategising AI in banking services for personalised experiences.

The authors' article followed an exploratory, inductive approach through in-depth interviews and thematic analysis. In total, 36 financial experts were interviewed, and the relevant perspectives were analysed to develop the research process and framework for a personalised banking experience.

The authors' paper introduced five key themes and presented those themes accordingly. The first theme details the importance of AI-mediated banking and the skills necessary for operational capacity. The second theme is on the relevance of AI-mediated banking awareness amongst users. The third is about channelling the importance of AI-driven interfaces through managers and employees. Fourth, the authors emphasised the relevance of human intervention due to users' demographic patterns. The fifth theme led to a discussion on personalised AI-mediated banking services.

The authors recommend that managers understand the relevance of quality service amongst users. The authors' paper discusses the relevance of AI and human intervention in banking services; however, the process for seamless, personalised banking experiences is not provided. Thus, this paper encourages managers to build a banking ecosystem that delivers a seamless banking experience through AI.

The authors' paper highlights the importance of human intervention in AI-driven banking by introducing personalised service experience elements and highlighting the role of customer experience in AI-driven banking services in emerging markets.

The authors aim to analyze the impact of monetary policy interventions during the financial crisis of 2007-2009 on the stock prices of US insurance firms.

The authors use an event study methodology and a database of 89 policy announcements to analyze if monetary policy interventions could restore stability in the insurance sector. In addition, the authors conduct a second-stage analysis to identify the individual firms’ determinants of their stock market response.

The results indicate that the market reaction depends upon the type of policy intervention as well as the timing of the intervention. A second stage analysis examines firm level determinants of the insurers’ stock price responses and finds various firm specific factors also affect the insurers’ reaction to policy interventions.

First, to the best of the authors’ knowledge, this paper is the first to examine the impact of non-conventional policy announcements on firms from the insurance sector during the financial crisis. Moreover, the authors add to the literature an analysis on how conventional central bank announcements affect insurance firms.

The paper aims to investigate the determinants of China’s daily intervention in the foreign exchange market since the 2005 reform aimed at moving the Renminbi (RMB) exchange rate regime towards greater flexibility.

The paper uses bivariate probit models to test whether China’s intervention decision is driven by three sets of factors, comprising Model I (basic model), Model II and Model III.

Evidence from the models suggests that medium-term Chinese interventions tend to be leaning-against-the-wind, whereas long-term interventions are leaning-with-the-wind. Furthermore, by analyzing exchange rate volatility, this paper finds that intervention is used by the Chinese central bank to ensure that there are no big swings in the RMB exchange rate.

The paper will be of value to other researchers attempting to understand the policy of the central bank and, in particular, the factors that can lead to interventions during periods of financial crisis.

This paper aims to examine the characteristics of banks that were the target of intervention in the form of bailout or failure during the financial crisis and, of those subjected to intervention, what characteristics distinguish those that received bailout funds from those that were deemed failures.

The study estimates a series of logit regressions in an effort to identify the causes of regulatory intervention while controlling for bank-level characteristics and the economic and regulatory environment.

The empirical results indicate that many of the same characteristics associated with banks receiving bailout funds are similar to the characteristics associated with failed banks. However, non-performing loans increased the likelihood of failure, but reduced the likelihood of a bank receiving Capital Purchase Program (CPP) funds, suggesting that regulatory authorities discriminated in their use of CPP funds based on the quality of a bank’s asset portfolio. Further, those banks located in states with limits on de novo branching and those banks that are part of a multi-bank holding company structure were less likely to fail but were more likely to receive CPP funds.

This paper provides a comprehensive analysis of regulatory intervention in the banking industry during the late 2000s financial crisis and the impact of different banking organizational structures, economic circumstances, and financial fragility on the likelihood of a bank failing or receiving bailout funds.

The purpose of this paper is to show the different attitudes to bank ownership and regulation, residential lending and eviction in the UK and France, with their effects in the credit crunch and how these factors are connected. UK non‐interventionism stems from a history of private banking, where competition produced plentiful finance but high risks for borrowers, where eviction is certain and fairly quick, but not necessarily disastrous for borrowers within a flexible system. The French history of post‐war interventionism for reconstruction and cautious banking has had successes and failures, culminating in large‐scale special loans to lower‐income borrowers, improving lending liquidity and stability. The French lower lending levels, intervention and caution can be partly explained by the disastrous effects of French debt and eviction processes on borrowers, but with overlay of delay and social protection.

The paper uses a historical institutionalist approach, calling on historical materials, statistics (where available) and the law and procedure of banking, mortgages, eviction and insolvency. Quantitative comparison of mortgage evictions is difficult, but procedures illuminate this.

National approaches to banking are path dependent and this effect is underestimated, particularly concerning attitudes to public intervention and eviction. Awareness of these connected effects could improve comparative research to assist lending to lower income groups, particularly concerning special French loans.

This can improve open‐mindedness, and promote ideas to house young people rather than simply calling for heavy regulation in the UK, or criticising French interventionism.

Comparative evictions related to the history of banking intervention are considerably understudied. The paper addresses the issues.

This paper aims to examine regime switching behaviour of the nominal exchange rate in Uganda to shed light on the necessity (as well as efficacy) of the participation of the central bank market.

The homogenous two‐state Markov chain methodology was employed to investigate the possibility of regime changes in the nominal exchange rate. The maximum likelihood parameter estimates were obtained using the Broyden‐Fletcher‐Goldfarb‐Shanno iteration algorithm.

The results validate the expectation of the two distinct state spaces characterized as sharp and disruptive but short‐lived depreciations as well as small appreciations occurring through a long period. The central bank intervention actions are shown to be largely successful in mitigating the disruptive effects of the sharp depreciations.

The paper lends empirical support to the intervention actions of the Bank of Uganda. In face of the numerous disruptions to the short‐term exchange rate process, failure to intervene may cause rational panic and given the nature of investor behavior, this may quickly spread and even cause further disruptions. It is important for the central bank to send signals that these disruptions are temporary.

The homogenous Markov chain specification employed in this study makes it possible to avoid the pitfalls that may arise by attempting to specify a structural model for the exchange rate. In addition, inference about the different possible state spaces is made on the basis of all available information.

This chapter investigates the effectiveness and the motivation behind the choice of different types of distress resolution strategies in the banking sector. This is a global study that analyzes key financial characteristics of distressed banks that were either acquired by other banks, divested assets, or were subject to government intervention, as well as the change in the financial profile of those distressed institutions from one year pre-deal to three years post-deal. The results show that governments intervene in the (relatively) best performers that only underperform in liquidity ratios, an indication of critical short-term flow problems. Distressed sellers, the underperformers of the three groups, enjoy much improved performance, in particular in cross-border deals. There is some evidence of foreign acquirers “cherry picking” the least distressed banks, though no significant differences in target performance remain post-deal between cross-border and domestic deals. These findings provide some useful guidance for policy makers globally and for future financial crises that impact the banking sector.