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While there is an increased demand from various corporate stakeholders on the need for public companies to have risk management frameworks as well as a stand-alone risk management committee to mitigate risks and simultaneously improve performance, this study investigates the effects of the risk management committee attributes on firm performance, and the role of board size is highlighted on this relationship in Malaysian listed companies.

Both accounting- and market-based performance measures have been used for measuring performance. A dynamic model using the generalized method of moments (GMM) has been employed to control for potential endogeneity, simultaneity and unobserved heterogeneity.

The findings reveal that risk management committee attributes such as size, independence and meetings negatively affect book-based performance measures and positively affect market-based performance measures. Moreover, board size positively moderates the risk management committee attributes and performance relationship. The study embraces the predictions of agency theory and resource dependence theory.

The findings are practically significant for Bursa Malaysia, Securities Commission Malaysia to assess the compliance of the Corporate Governance Code (MCCG, 2017) and for academia to further explore significant relationships in other emerging economies.

The paper contributes to multiple aspects: first, it studies the impact of risk management committee attributes on firm performance; second, it investigates the moderating effect of board size on RMC–performance relationship; in the end, the study employs dynamic modeling for estimation process to avoid dynamic endogeneity considered a main econometric problem for CG–performance relationships.

(1) A concern often expressed in relation to cryptocurrencies is the environmental impact associated with increasing energy consumption and mining pollution. Controversy remains regarding how environmental attention and public concerns adversely affect cryptocurrency prices. Therefore, the paper aims to introduce the index of cryptocurrency environmental attention (ICEA), which aims to capture the relative extent of media discussions surrounding the environmental impact of cryptocurrencies. (2) The impacts of cryptocurrency environmental attention on long-term macro-financial markets and economic development remain part of undeveloped research fields. Based on these factors, the paper will further examine the effects of the ICEA on financial markets or economic developments.

(1) The paper introduces a new index to capture cryptocurrency environmental attention in terms of the cryptocurrency response to major related events through gathering a large amount of news stories around cryptocurrency environmental concerns – i.e. >778.2 million news items from the LexisNexis News & Business database, which can be considered as Big Data – and analysing that rich dataset using variety of quantitative techniques. (2) The vector error correction model (VECM) and structural VECM (SVECM) [impulse response function (IRF), forecast error variance decomposition (FEVD) and historical decomposition (HD)] are useful for characterising the dynamic relationships between ICEA and aggregate economic activities.

(1) The paper has developed a new measure of attention to sustainability concerns of cryptocurrency markets' growth, ICEA. (2) ICEA has a significantly positive relationship with the UCRY indices, volatility index (VIX), Brent crude oil (BCO) and Bitcoin. (3) ICEA has a significantly negative relationship with the global economic policy uncertainty (GlobalEPU) and global temperature uncertainty (GTU). Moreover, ICEA has a significantly positive relationship with the industrial production (IP) in the short term, whilst having a significantly negative relationship in the long term. (4) The HD of the ICEA displays higher linkages between environmental attention, Bitcoin and UCRY indices around key events that significantly change the prices of digital assets.

The ICEA is significant in the analysis of whether cryptocurrency markets are sustainable regarding energy consumption requirements and negative contributions to climate change. Understanding of the broader impacts of cryptocurrency environmental concerns on cryptocurrency market volatility, uncertainty and environmental sustainability should be considered and developed. Moreover, the paper aims to point out future research and policy legislation directions. Notably, the paper poses the question of how cryptocurrency can be made more sustainable and environmentally friendly and how governments' cryptocurrency policies can address the cryptocurrency markets.

(1) The paper develops a cryptocurrency environmental attention index based on news coverage that captures the extent to which environmental sustainability concerns are discussed in conjunction with cryptocurrencies. (2) The paper empirically investigates the impacts of cryptocurrency environmental attention on other financial or economic variables [cryptocurrency uncertainty (UCRY) indices, Bitcoin, VIX, GlobalEPU, BCO, GTU index and the Organisation for Economic Co-operation and Development IP index]. (3) The paper provides insights into making the most effective use of online databases in the development of new indices for financial research.

Whilst blockchain technology has a number of useful implications and has great potential to transform several industries, issues of high-energy consumption and CO2 pollution regarding cryptocurrency have become some of the main areas of criticism, raising questions about the sustainability of cryptocurrencies. These results are essential for both policy-makers and for academics, since the results highlight an urgent need for research addressing the key issues, such as the growth of carbon produced in the creation of this new digital currency. The results also are important for investors concerned with the ethical implications and environmental impacts of their investment choices.

(1) The paper provides an efficient new proxy for cryptocurrency and robust empirical evidence for future research concerning the impact of environmental issues on cryptocurrency markets. (2) The study successfully links cryptocurrency environmental attention to the financial markets, economic developments and other volatility and uncertainty measures, which has certain novel implications for the cryptocurrency literature. (3) The empirical findings of the paper offer useful and up-to-date insights for investors, guiding policy-makers, regulators and media, enabling the ICEA to evolve into a barometer in the cryptocurrency era and play a role in, for example, environmental policy development and investment portfolio optimisation.

The paper aims to examine whether and under what circumstances social status of chief executives can be associated with corporate financial decisions, in particular via risk aversion or risk loving to the extent of mergers and acquisitions.

The authors use mixed methods, drawing metrics of social status (acquired and ascribed) from anthropological and sociological research, applying these, and then using panel econometrics to check the statistical importance of the uncovered relationships.

The authors find in the paper that it is possible, for FTSE companies, to successfully measure and apply measures of social status from public records; they find strong evidence of a negative relationship between CEO ascribed and achieved social status and his or her acquisitiveness. However, the influence of achieved status appears to be more consistent and significant than that of the ascribed status, indicating its dominant role in determining overall attained status.

The research is limited in its data coverage, to FTSE members. However, it does show that it is possible to take useful and meaningful concepts from areas quite removed from traditional finance and to incorporate these into a traditional finance methodology.

The paper has practical implications for both aspirant and existing corporate officers and for investors.

Social status is omnipresent and poorly understood as a mitigator or enabler of financial transactions, although there is some evidence that it is important.

This research bridges a gap that has heretofore only been very sparsely mapped, and provides suggested routes for further research.

After the collapse of communist and socialist regimes at the beginning of 1990s, a number of Central and Eastern European (CEE) economies started their journey into capitalism by establishing private property and capital markets. As a result, a number of stock markets have since been established in the region. Since then, they have displayed considerable growth in size and degree of sophistication, and they have attracted the interest of academics for a number of reasons. First, these markets provide a possibility to re-examine existing asset-pricing models and pricing anomalies in the conditions of the evolving markets. Market efficiency of the CEE markets is tested in Ratkovicova (1999) and Gilmore and McManus (2001); a version of the CAPM is tested in Charemza and Majerowska (2000); Mateus (2004) explores the predictability of European emerging market returns within an unconditional asset-pricing framework while the January-pricing anomaly is studied in Henke (2003). Second, in the light of growing interdependencies between world equity markets due to enhanced capital movements, numerous studies have investigated the extent to which emerging European stock markets are integrated with global markets, and the extent to which they are subjects to global shocks (Gelos & Sahay, 2000; Gilmore & McManus, 2002; Scheicher, 2001). Among the CEE markets, those of the Vysegrad countries (Poland, Hungary and the Czech Republic) have attracted most of the attention of the academics due to their economies faster growth relative to their regional counterparts (Slovakia, Slovenia, Bulgaria, Croatia and Baltic countries), in addition to political stability and their (successfully realized) prospects of joining the European Union (EU).

This study aims to provide empirical evidence on the return and volatility spillover effects between Southeast Asian stock markets, bitcoin and gold in the periods before and during the COVID-19 pandemic. The interdependence among different asset classes, the two leading stock markets in Southeast Asia (Singapore and Thailand), bitcoin and gold, is analyzed for diversification opportunities.

The vector autoregressive-Baba, Engle, Kraft, and Kroner-generalized autoregressive conditional heteroskedasticity model is used to capture the return and volatility spillover effects between different financial assets. The data cover the period from October 2013 to May 2021. The full period is divided into two sub-sample periods, the pre-pandemic period and the during-pandemic period, to examine whether the financial turbulence caused by COVID-19 affects the interconnectedness between the assets.

The stocks in Southeast Asia, bitcoin and gold become more interdependent during the pandemic. During turbulent times, the contagion effect is inevitable regardless of region and asset class. Furthermore, bitcoin does not provide protection for investors in Southeast Asia. The pricing mechanism and technology behind bitcoin are different from common stocks, yet the results indicate the co-movement of bitcoin and the Singaporean and Thai stocks during the crisis. Finally, risk-averse investors should ensure that gold constitutes a significant proportion of their portfolio, approximately 40%–55%. This strategy provides the most effective hedge against risk.

The mean return and volatility spillover is analyzed between bitcoin, gold and two preeminent stock markets in Southeast Asia. Most prior studies test the spillover effect between the same asset classes such as equities in different regions or different commodities, currencies and cryptocurrencies. Moreover, the time-series data are divided into two groups based on the structural break caused by the COVID-19 pandemic. The findings of this study offer practical implications for risk management and portfolio diversification. Diversification opportunities are becoming scarce as different financial assets witness increasing integration.

This paper aims to investigate the impact of oil price shocks on the Turkish sovereign yield curve factors.

To extract the latent factors (level, slope and curvature) of the Turkish sovereign yield curve, we estimate conventional Nelson and Siegel (1987) model with nonlinear least squares. Then, we decompose oil price shocks into supply, demand and risk shocks using structural VAR (structural VAR) models. After this separation, we apply Engle (2002) dynamic conditional correlation GARCH (DCC-GARCH (1,1)) method to investigate time-varying co-movements between yield curve factors and oil price shocks. Finally, using the LP (local projections) proposed by Jorda (2005), we estimate the impulse-response functions to examine the impact of different oil price shocks on yield curve factors.

Our results demonstrate that the various oil price shocks influence the yield curve factors quite differently. A supply shock leads to a statistically significant increase in the level factor. This result shows that elevated oil prices due to supply disruptions are interpreted as a signal of a surge in inflation expectations since the cost channel prevails. Besides, unanticipated demand shocks have a positive impact on the slope factor as a result of the central bank policy response for offsetting the elevated inflation expectations. Finally, a risk shock is associated with a decrease in the curvature factor indicating that risk shocks influence the medium-term bonds due to the deflationary pressure resulting from depressed economic conditions.

Our results provide new insights to understand the driving forces of yield curve movements induced by various oil shocks to formulate appropriate policy responses.

The study contributes to the literature by two main dimensions. First, the recent oil shock identification scheme of Ready (2018) is modified using the “geopolitical oil price risk index” to capture the changes in the risk perceptions of oil markets driven by geopolitical tensions such as terrorism and conflicts and sanctions. The modified identification scheme attributes more power to demand shocks in explaining the variation of the oil price compared to that of the baseline scheme. Second, it provides recent evidence that distinguishes the impact of oil demand and supply shocks on Turkey's yield curve.

The authors consider a variety of cryptocurrency and equity risk factors as potential forces that drive cryptocurrency returns and carry risk premiums. In a cross-section of 2,000 biggest cryptocurrencies during 2014–2020, only downside market risk, cryptocurrency size and cryptocurrency policy uncertainty factors are systematically priced with significant premiums. Cryptocurrencies, which have greater exposures to these factors, yield higher returns subsequently. Equity market risk, particularly equity downside market risk, appears to be more important than cryptocurrency market risk, suggesting greater linkages between cryptocurrency and equity markets than we used to think. Global and the US equity factors are more relevant for the cryptocurrency market than local factors from other markets. However, there is no evidence that exposure to momentum, volatility and Fama–French factors is compensated by higher returns.

This paper aims to empirically examine the financing of small and medium sized enterprises (SMEs) through a financial growth lifecycle model.

Data in publicly available databases are generally unsuitable to examine the financial lifecycle model, thus a questionnaire survey was employed to collect data. Because of the well‐documented reticence of SME owners to reveal detailed financial information, data were requested in percentage form. This innovative methodology was successful, as 92 per cent of respondents disclosed detailed financing data. A response rate of 42.6 per cent across six industry sectors provided data to employ parametric techniques. Reporting and analysing the large primary data set across six age categories, a number of statistical tests were conducted to test the financial growth lifecycle model.

Analysis of respondents' capital structures across age groups indicates distinct changes in sources of finance employed by firms over time. Financing choices are consistent with Myers's pecking‐order hypothesis, and the importance of profitability in financing SMEs is emphasised. Contrary to conventional wisdom, respondents in the youngest age category report a relatively high use of debt financing. This is explained by the provision of firm owners' personal assets to secure firm debt.

The key contribution of this paper is to provide an empirical examination of the financial growth lifecycle model by combining a number of statistical tests. This approach is significantly different to that traditionally adopted in empirical investigations of SME financing, which is to examine the applicability of theories developed in corporate finance on panel data. Additionally, the paper presents data on personal sources of finance employed by firm owners, which is typically not available, even in comprehensive secondary databases.

This chapter examines the roles and challenges for the Irish economy in the aftermath of the collapse of the Celtic Tiger and the onset of the 2008 economic crisis. Specifically, it does review the role that Government, the Central Bank of Ireland, and the Financial Regulator had before, during and after the collapse of both the Irish banking system and property market. This chapter explains the drivers behind the growth of the Celtic Tiger and the sources of leverage that amplified the severity of the subsequent collapse. Specifically, this chapter focuses on the changes that have since been made and provides a review of the lessons that can be obtained from the collapse.

The results presented in this chapter are based on analysis of secondary sources and a literature review to determine conceptual and theoretical frameworks for identifying the specific issues that the Irish economy endured since the 2008 economic crisis and the red flags and signals that were either missed or ignored.

Combined with the subprime collapse of 2007 and the international sovereign debt crisis evident since 2008, Ireland and the actions of its regulators and policy makers undoubtedly generated not only a catalyst to financial ruin, but also an incubator to aid its severity. The precise drivers that created the Celtic Tiger remained unchanged and played a significant role in the subsequent collapse. Banks were leveraged towards the Irish property market and the role of leverage in financial markets created mispricing, to which the basic principles of the efficient market hypothesis (EMH) failed. This miscalculation of risk was severe and destructive for the real economy. The reward for this error was a place in history as an ‘I’ in the derogatory term ‘PIIGS’.

This chapter could be used as teaching material for undergraduate and masters programmes in economics and finance. It provides a response to further understand the behaviour of the Irish economy during the development of the Celtic Tiger and the subsequent financial collapse that enveloped the Irish state.

This chapter discusses the role of leverage throughout a financial system and the necessity for financial monitors to promote an environment of sustainability and financial endurance; that which can survive an international financial crisis event.