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The paper aims to analyse the drivers of changes in European equity tail risk.

For this purpose, the paper uses a panel data model with fixed effects based on five explanatory variables including the VIX, the variance risk premium (VRP), the one-year lagged slope of the riskless term-structure, the default spread and market-specific illiquidity via the measure of Bao et al. (2011). The study analyses a comprehensive database of representative European equity indices from February 2003 to December 2013. The database just contains markets of euro member states to avoid biases due to different currencies. To measure equity tail risk, the ex post realized value-at-risk was used.

There is empirical evidence that the VIX, the VRP and the default spread are key determinants of equity tail risk changes across all markets. Moreover, the results reveal that market-specific illiquidity is an important determinant in PIIGS markets and the one-year lagged term-structure slope in core markets. The analysis also documents that market-specific risk premia are a relevant determinant of equity tail risk changes. Another finding is that risk premia in PIIGS markets are basically higher as in core markets, which reflect the higher risk involved in investing in PIIGS markets.

The paper offers a unique perspective on equity tail risk in aggregate equity markets and helps both investors and risk managers to get a comprehensive understanding of relevant drivers.

The purpose of this paper is to examine the determinants of the use of loan loss provisions (LLPs) to smooth income by banks in South Africa. More specifically, the authors examine the influence of ownership, IFRS disclosure rules and economic fluctuation on the income smoothing behaviour of South African banks while controlling for the traditional determinants of bank income smoothing via LLPs.

The study employs fixed effect regression methodology to estimate the determinants of discretionary LLPs.

The authors find that South African banks do not use LLPs to smooth income when they are: under-capitalised, have large non-performing loans and have a moderate ownership concentration. On the other hand, income smoothing is pronounced when South African banks are rather more profitable during economic boom periods, well-capitalised during boom periods and is pronounced among banks that adopt IFRS and among banks with a Big 4 auditor. The authors also find that banks use LLPs for capital management purposes, and bank provisioning is procyclical with economic fluctuations.

Bank supervisors in South Africa should monitor the bank provisioning practices in South Africa closely to ensure that LLPs are not used as a substitute for bank capital. Banks in South Africa should not use sufficient provisioning as a substitute for sufficient bank capital. Second, the evidence for procyclical bank provisioning shows that provisioning by South African banks reinforce the current state of the economy and might compel bank supervisors in South Africa to consider the adoption of a dynamic provisioning system that is already adopted by bank supervisors in Spain, Peru, Uruguay, Colombia and Bolivia.

Bank income smoothing is an important issue because it has implications for banking stability and accounting transparency. There are few studies on bank income smoothing for emerging economies particularly in Africa where there are substantial differences in ownership and accounting rules. This is the first South African study to examine the influence of disclosure rules, ownership and economic cycle fluctuations on bank income smoothing behaviour via LLPs.

The purpose of this paper is to evaluate the impact office layout has on office occupiers' productivity.

The paper evaluates the literature that claims to make a linkage between the office layout and the effect on office occupiers' productivity. Two main themes are developed. First, the literature that links office layout to work patterns is evaluated, and second, the open‐plan office vs cellular office debate is developed.

The review of the literature reveals that the connection between the three major components of office layout, office occupiers' work patterns and productivity is not clearly established.

The paper establishes that there is a requirement to link together office layout to the work patterns of office occupiers. It is only when the connection is made between the office layout and the office occupiers' work patterns that productivity gains can be achieved. To support the different work patterns undertaken, the facilities manager can create office environments that consist of a balance between private space and communal shared space. The amount of balance will be very much dependent on the mix of the work patterns in the office.

The current study aims at examining the impact of upward and downward earnings management on the cross-sections of stock return. The study also examines the moderating role of cross-sectional effects on the association between earnings management and stock returns.

The study employed univariate and bivariate-sorted portfolio-level analysis to investigate the issue. Fama–Macbeth cross-sectional regression is used to analyze the moderating role of different cross-sectional effects. The study used a sample of 3085 Bombay Stock Exchange (BSE) listed stocks spanning over 20 years from January 2000 to December 2019.

The findings suggest that investors have different perceptions toward different forms of earnings management. In other words, results exhibit that investors perceive downward earnings management as an element of risk; hence, they discount the returns at a higher rate. On the contrary, results show that upward earnings management is positively perceived by the investors; hence, they hold the stocks even at a lower rate of return. This relation is found to be consistent even after controlling the impact of marker effect, size effect, value effect and momentum effect.

This study is among pioneering studies that consider the direction of earnings management while examining its impact on the stock return. This study is also among the earlier attempts to examine the moderating role of four different cross-sectional effects by taking a uniform sample of stocks over the same period.

While monetary autonomy is self-explanatory for cryptocurrencies such as Bitcoin with predetermined supply path, it is of great interest to probe into the monetary structures of Stablecoins. In these supply contracts and expands and capital restrictions apply due to the existence of reserves as the exchange rate arrangement adheres to a price rule.

Ever since the launch of Bitcoin and its offspring, examination of cryptocurrencies' trading activity from the empirical finance viewpoint has received much attention and continues to do so. The particular monetary arrangements found in Stable cryptocurrencies (colloquially referred to as Stablecoins), however, have not been properly (1) classified and (2) studied within an empirical international finance and banking context. This paper provides an empirical framework analogous to Impossible Trinity for exploring monetary arrangements across Stablecoins wherein reserves are held as price stability is targeted.

The study findings of existence of the degree of achievement along the three dimensions of the Impossible Trinity hypothesis, namely monetary independence, exchange rate stability and financial openness for a representative sample able to cover all varieties of Stablecoins, provide fresh empirical insights and arguments to this growing literature with respect to the success of their embedded exchange rate stabilization mechanisms. While the hypothesis can be supported for all cryptocurrencies in question, the trade-off combination among exchange rate stability, capital openness and monetary independence varies with the categorical types of Stablecoins.

If Stable cryptocurrencies, therefore, claim the role of global monetary assets freed from sovereign limits and national boundaries, it is critical to explore whether they adhere to traditional monetary frameworks. It goes without saying that in this work the author does not use a complete catalogue of all the available Stablecoins, rather a complete catalogue of all the possible asset classes of Stablecoins. While there is a significant difficulty in finding Algorithmic Stablecoins and, so far, there is plethora of Stable Token initiatives, a broader sample to further examine these under this paper's empirical framework is suggested. Enrichment of the robustness analysis by constructing additional proxies, possibly building time series for the proposed cmo1 subindex and using additional estimation methods is encouraged.

Stablecoins have been developed aiming to address the issue of excessive price variation in cryptocurrencies such as Bitcoin. Holders of Stablecoins enjoy the combined advantages of using a blockchain-based digital infrastructure in fulfilling the functions of store of value and media of exchange and of using a traditional currency, which merely plays the role of the unit of account (and in some circumstances the trusted reserve to which is convertible to). Understanding the varieties of Stablecoins and quantifying the components for success of their price stabilization may result in designing better Stablecoins.

Blockchain and cryptocurrencies have introduced new challenges to money and banking. Cryptocurrencies, which independently float such as Bitcoin, have gained the interest so far due to price variation that allows for gains. But these should be by far not considered to be a substitute to traditional means of payment. Lately, Stablecoins have increasingly gained attention for that USD Tether/Bitcoin pair (a Stablecoin pegged to the US dollar at parity) has outrun the US dollar/Bitcoin pair as the most traded pair in digital exchanges marking the strong position and high demand for Stablecoins.

This approach uncovers the varieties of Stablecoins with respect to their monetary constraints compared to the rest of the cryptocurrencies, which independently float. In this paper, the author provides a conceptual framework for the analysis of the exchange rate mechanisms conditional on Stablecoin asset classes accompanied with an empirical study from the monetary viewpoint. This is the first work in this attempt. The empirical framework employed is analogous to the traditional theory of international monetary economics referred to as Impossible Trinityz.

The peer review history for this article is available at: https://publons.com/publon/10.1108/JES-06-2020-0279

This paper aims to verify the presence of a management model that confirms or not the one size fits all hypothesis expressed in terms of risk-return. This study will test the existence of stickiness phenomena and discuss the relevance of business model analysis integration with the risk assessment process.

The sample consists of 60 credit institutions operating in Europe for 20 years of observations. This study proposes a classification of banks’ business models (BMs) based on an agglomerative hierarchical clustering algorithm analyzing their performance according to risk and return dimensions. To confirm BM stickiness, the authors verify the tendency and frequency with which a bank migrates to other BMs after exogenous events.

The results show that it is impossible to define a single model that responds to the one size fits all logic, and there is a tendency to adapt the BM to exogenous factors. In this context, there is a propensity for smaller- and medium-sized institutions to change their BM more frequently than larger institutions.

Quantitative metrics seem to be only able to represent partially the intrinsic dynamics of BMs, and to include these metrics, it is necessary to resort to a holistic view of the BM.

This paper provides evidence that BMs’ stickiness indicated in the literature seems to weaken in conjunction with extraordinary events that can undermine institutions’ margins.

This study reviews existing cryptocurrency research to provide answers to three puzzles in the literature. First, is cryptocurrency more like gold (i.e., a commodity) or should it be classified as a new financial asset? Second, can we apply our knowledge of the traditional capital market to the emerging cryptocurrency market? Third, what might be the future of cryptocurrency?

Bibliometric analysis is used to assess 2,098 finance-related cryptocurrency publications from the Web of Science (WoS) Core Collection database from January 2009 to April 2022. Three key research streams are identified, namely, (1) cryptocurrency features, (2) behaviour of the cryptocurrency market and (3) blockchain implications.

First, cryptocurrency should be viewed and regulated as a new asset class rather than a currency or a new commodity. While it can provide diversification benefits to the portfolio, cryptocurrency cannot work as a safe haven asset. Second, crypto markets are typically inefficient. Asset bubbles exist and are exacerbated by behavioural finance factors. Third, cryptocurrency demonstrates increasing potential as a medium of exchange and store of value.

Extant review papers primarily study one or two particular research topics, overlooking the interaction between topics. The few existing systematic literature reviews in this area typically have a narrow focus on trend identification. This study is the first study to provide a comprehensive review of all financial-related studies on cryptocurrency, synthesising the research findings from 2,098 publications to answer three cryptocurrency puzzles.

Recently, the financial sector has faced significant challenges regarding the market competition, its technical efficiency and risk factors around the globe and gain recent researchers' intentions. Thus, the present study aims to examine the impact of technical efficiency, market competition and risk in banking performance in Group of Twenty (G20) countries.

Data have been obtained from the World Development Indicator from 2008 to 2019. For analysis purpose, random effect model and generalized method of moments (GMMs) have been executed using Stata.

The results revealed that market competition and banks' capital efficiency have a positive impact on banking performance, while banks' lending efficiency and non-performing loans have a negative association with the banking sector performance of G20 countries. These outcomes provide the guidelines to the regulators that they should formulate the effective policies related to the lending practices and non-performing loans that could improve the banking sector performance worldwide.

The study has examined only three economic factors like the technical efficiency rate, market competition and risk element, and their influences on banking institutions' operational and economic performance. But the analysis has proved that except these factors, several factors affect banking institutions' operational and economic performance. Thus, future scholars recommend they analyze all the banking sector areas, pick more factors and enlighten their operational and economic performance influences. Moreover, the author of this article has chosen a particular source for collecting data to meet his study's objective. Only a single piece of software has been applied to analyze data; thus, the data collected for this paper may be incomplete, lack accuracy and reliability. Therefore, the future authors are recommended to use multiple sources to collect data and its analysis to ensure the comprehension, completeness and accuracy.

Last but not least, this study with the evidences from the banking sector of G20 countries tries to show on the banking management how the risk element matters in the banking sector in an economy. It makes it clear in which areas the banking institutions may be exposed to the risks, and how much sever different kinds of risks may be. Thus, it motivates the management to set a body of persons within the organization to monitor the risks, to try to avoid them and to overcome the problems created by these risks events.

The authors intend to expand the literature on the relationship between intelligent technology and human resources in operating cost, and firm value of financial institutions in emerging markets by integrating the influence of intelligent technology and contribute to a growing body of literature on the determinants of firm value.

This paper empirically investigates the impact of intelligent technology investment on employment compensation and firm value using a sample of 86 listed financial institutions in China from 2010 to 2019.

This paper reports robust evidence that an increase in intelligent technology investment has a significantly negative effect on employment compensation in financial institutions. In addition, this inhibitory effect is persistent. The increase in intelligent investment has a significant two-year lag effect on firm value, which is positive and sustained. This indicates that intelligent technology investment has a short-term “useless” effect but brings long-term “gains” for Chinese financial institutions.

These findings may shed light on the decision-making processes of financial institutions, which helps practitioners better understand that firms need to reasonably deal with the subsequent cost of growth caused by intelligent technology input. Alternatively, they may wish to select the appropriate accounting method of depreciation or amortization to smooth its impact.

This paper aims to analyse the role of central bank digital currency (CBDC) in bank earnings management and focus on how CBDC activity might influence banks to engage in accrual earnings management using loan loss provisions (LLPs) and the implications for earnings quality.

The paper used conceptual discourse analysis to explain the role of CBDC in bank earnings management.

Banks will use accruals, such as LLPs, to manage earnings when CBDC-induced bank disintermediation leads to a reduction in bank deposits, a reduction in bank lending and a likely reduction in reported earnings. Bank managers will mitigate the reduction in reported earnings by lowering discretionary LLPs to increase reported earnings.

The recent emergence of CBDC in the digital currency universe has led to increased research interest on the role of CBDC in corporations and society. This study contributes to the literature by focusing on banks, and examining the effect of CBDC on bank earnings management.