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Introduction – Stability of commercial banks is on the back stone of a country’s economy and its development, making bank stability one of the main concerns of financial regulators. The bank stability models for large and small economies differ significantly.

Purpose – In this chapter we examine the determinants of bank stability in a small post-transition economy, based on the case of Latvia. Latvia has a well-organized banking system, providing a wide range of services to local and international customers. Besides, the Latvian banking sector is quite unique in Europe as it comprises two sets of banks with radically different target groups of customers and sources of revenue.

Methodology – To carry out this study we analysed panel data of the quarterly financial statements of Latvian banks operating during the period 2012-2017.

Findings – We found evidence of a negative significant relationship between size and bank stability, negative significant impact of liquidity risk on bank stability, a positive significant relationship between capital adequacy and bank stability, as well as a positive significant relationship between credit risk and stability. These results increase the importance of a sufficient level of capital adequacy ratio and liquidity to maintain bank stability. In general, the results of the study confirm the results of other studies on bank stability of small economies, with some exceptions due to the unique situation in term bank business models applied by Latvian banks. The current study provides valuable policy implications to small post-transition economies and stakeholders in general.

This chapter is devoted to the issue of ensuring financial stability in the state. The main goal of the research is to determine the role and policy of the National (Central) Bank, which was called up, together with the Government, to ensure financial stability in the Republic of Belarus. The actions of the National Bank for the implementation of monetary policy, macroprudential regulation, and supervision are reviewed. It is noted that the regulation and supervision of banks, nonbank credit and financial organizations, the payment system, the sector of other financial intermediaries (leasing activities, microfinance activities, activities of forex companies) is carried out by the National Bank of the Republic of Belarus. The main practical actions of the Government and the National Bank aimed at maintaining and ensuring financial stability is highlighted: monitoring of financial stability (goals, tasks, objects, monitoring directions are defined); creation of the Financial Stability Board (goals, objectives, representation, personal responsibility); disclosure of information on financial stability is carried out on an ongoing basis – the publication of the analytical review “Financial Stability in the Republic of Belarus.” The research provided a summary of the state of the country's financial sector and presented the achievements of the National Bank and state institutions for ensuring financial stability. The main problems affecting financial stability are highlighted: insufficient efficiency of the activities of large enterprises of the real sector of the economy; high levels of credit risk in banks; high dollarization of bank balance sheets. The directions of development of the financial market of the Republic of Belarus, contributing to ensuring financial stability are presented.

This current research tries to answer the widespread debate about the role of derivatives in propagating the last financial crisis. So, this work aims to examine the effect of derivatives on bank stability in emerging countries by using the bank stability index (BSI) as developed by Ghosh (2011) from three major dimensions of banking operations: stability, soundness, and profitability. We use the generalized method of moments (GMM) estimator technique developed by Blundell and Bond (1998) to estimate regressions during the normal, the turbulent, and the whole period, following the guidance given by Chiaramonte, Poli, and Oriani (2013).

The major conclusion of this study reveals that except to futures the other derivative instruments cannot be considered as troubling factors. The main implication of the research shows that derivatives – in general – are not responsible for the propagation of the recent financial crisis. Hence, the common debate accusing derivatives as being responsible for the aggravation of the recent financial crisis should be rejected.

After the global financial crisis, many countries deregulated their banking sectors. The banking sector has become the major funding supplier in most emerging countries. Bank in Indonesia has provided an essential role as an intermediary institution in matching up surplus and deficit parties with a relatively concentrated market structure. Moreover, banks should innovate and diversify to provide excellent products and services to their customers and win the market. More diversified banks are expected to have better performance and more resilience, especially during a crisis. This study examines the relationship among bank market power, diversification, and bank stability of listed bank companies in Indonesia from 2008 to 2020. This study employs a two-step system GMM to deal with potential endogeneity. This study finds that banks’ market power and diversification affect bank stability, and the presence of crisis encourages banks to be more prudent. The result of this study provides insightful implications for academics and policy-makers.

Purpose: The advent of the fintech revolution has brought a tremendous increase in the dissemination of digital financial services. Although digital financial services increase financial inclusion through financial intermediation, it also increases the chances of systematic risk.

Need: In the quest to satisfy the curious minds, the authors have examined the influence of digital financial services on banking stability and efficiency.

Methodology: To achieve the above objectives, the authors have used the Auto-Regressive Distribution Lag (ARDL) estimation technique on the annual data set of India and the United States from 2004 to 2018. In addition, to estimate the long-run cointegration, the ARDL bound approach is also used.

Findings: The empirical analysis concludes that in the short run, the expansion of digital financial services in India in the form of internet-based transactions and mobile money transactions creates a negative and significant impact on banking efficiency and stability. Meaning, banking sector efficiency and stability fall by 0.09% and 0.05% with a 1% increase in digital financial services. However, in the long run, digital financial services enhance banking stability and efficiency in India. Besides, the study also reveals that in a developed country like the United States, both in the short run and long run, expansion of digital financial services helps in improving banking efficiency and stability. Furthermore, in context to control variables, the findings suggest that in the short run, industrial productivity has a negative influence on the Indian banking sector efficiency and stability, compared to the positive impact in the long run. This is unlike the United States, where both in the long-run and short-run, industrial productivity has a positive influence on the banking sector’s efficiency and stability.

Practical implication: The findings reveal several policy implications and suggest policy synergies between digital financial services, banking stability and efficiency.

We evaluate the hypothesis of temporal stability in risk preferences using two recent data sets from longitudinal lab experiments. Both experiments included a combination of decision tasks that allows one to identify a full set of structural parameters characterizing risk preferences under Cumulative Prospect Theory (CPT), including loss aversion. We consider temporal stability in those structural parameters at both population and individual levels. The population-level stability pertains to whether the distribution of risk preferences across individuals in the subject population remains stable over time. The individual-level stability pertains to within-individual correlation in risk preferences over time. We embed the CPT structure in a random coefficient model that allows us to evaluate temporal stability at both levels in a coherent manner, without having to switch between different sets of models to draw inferences at a specific level.