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A controversy about whether liberalization through market opening is a necessary and sufficient condition for a stable and balanced growth in the developing countries was retriggered by the 2008 global financial crisis. This paper aims to analyze 1) the impact of market openness on the economic growth and financial development, 2) the dynamic correlation between the compositional change in foreign investments and the returns of domestic financial markets, 3) the effect of foreign portfolio investment on the stock market activity (liquidity and profitability). Our empirical findings infer that the income level has a positive relationship with financial openness and the foreign portfolio investments cause price fluctuations in the domestic stock market. These results imply that the precautionary and effective policies such as prudential regulations on the short-term capital transactions are strongly needed to emerging markets in order to prevent the excessive fluctuations in the financial markets over the macroeconomic fundamentals.

The purpose of this paper is to examine the usefulness of statistical studies of financial reports and stock market data for improving corporate financial reports.

Analytical writing.

It is often claimed that statistical studies of co-variation between financial and stock market data can help set better financial reporting policy. Such co-variation, even when it can be estimated, tells us little about which financial reports help to make better financial decisions. A case in support of such claims remains to be made.

The readers are advised to be extremely careful in drawing inferences from studies of co-variation between accounting and stock market data for financial reporting policy.

Inference from accounting empirical studies to policy needs better rationale to avoid bad policy consequences.

This paper raises original questions about policy inferences from a large class of empirical research in accounting.

This study aimed to explore the determining factors for green bond markets in ASEAN plus three countries. In contrast to previous publications that primarily examined the incentives for green bonds and institutional differences among economies, the analysis focused on the role of competition among sub-financial sectors in fostering the growth of green bond markets.

This study adopted Driscoll and Kraay fixed effect panel methods to account for country-level heterogeneity and enhance efficiency, using quarterly data from 2016 to 2022.

The findings showed that healthy competition among sub-financial sectors was crucial for the growth of green bond markets. Growth in specific sub-financial sectors such as brown corporate bond and stock markets as well as banks contributed positively to these markets. Variables related to market microstructure also had no significant impact on green bonds but macroeconomic factors did.

The findings suggested that governments should promote healthy competition among sub-financial sectors and implement diverse policies to ensure the sustainable growth of green bond markets.

This study further pioneered the importance of competition among sub-financial sectors for the development of green bond markets.

While being integrated together conceptually and practically, the literature on game theory in the context of financial markets lacks a cohesive understanding. This study aims to systematically scrutinize and analyse the literature of game theory in the context of financial markets, through a systematic literature review.

A systematic literature-based approach, through the theories, context, characteristics and methodology (TCCM) framework has been applied to 97 articles, extracted and filtered from two databases, Scopus and Web of Science, for a comprehensive review and understanding of the intellectual development in the domain of game theory and financial markets.

The review highlighted the most utilitarian theories within the literature, the context of research in terms of countries and industries, four themes which characterize the literature, as well as the methodologies and research designs used in this research domain. The paper also uncovered certain essential areas that present scope for further research.

While two of the largest indexation databases have been used, some relevant articles may have been excluded due to the restriction of databases and screening criteria, which may lead to the less exploration of several facets of the domain.

Practically, the paper has implications for multiple stakeholders including traders, businesses and governments. For traders, this paper acts as a guide to entering and understanding the dynamics of financial markets. The review also covers decision-making from the perspective of firms, including venture capitalists. This paper would allow firms to understand how game theory can help influence or analyze the strategic interactions between their stakeholders in terms of information disclosure, or consumers and their behavior to stimuli from the firm’s actions.

To the best of the authors’ knowledge, this study is the first of its kind that attempts to comprehensively provide an overview of the literature on game theory in financial markets. In doing so, this study shall help assess the current state of knowledge in the said field and locate gaps in the literature to propose new research directions.

The study examines the impact of macroeconomic risk and volatility associated with key macroeconomic indicators on financial market uncertainty; and the extent to which governance and institutional structures moderate such relationships.

The study employs data from 33 countries in Sub-Saharan Africa (SSA) for the period between 1996 and 2019. Variable derivation techniques such as the generalized autoregressive conditional heteroskedasticity (GARCH) for deriving volatility data, and the principal component analysis (PCA) for index construction were employed. The data is examined using the two-step system generalized method of moments (TS-SGMM) technique.

Empirical results suggest that macroeconomic risk and exchange rate volatility heighten financial market uncertainty among economies in the sub-region. Further empirical estimates show that institutional quality and government effectiveness have a negative moderating effect on the nexus between macroeconomic risk, inflation uncertainty, GDP growth, exchange rate, and financial market uncertainty.

The key macroeconomic conditions with the propensity to foment financial market uncertainty are worth monitoring with adequate buffers to mitigate their impacts on the financial market.

Compared to related studies, this study focuses on uncertainty associated with financial markets among emerging economies in sub-Saharan Africa (SSA) instead of the performance of the financial markets or specific financial market indicators such as the stock market; and the extent to which a host of macroeconomic conditions influence such uncertainty. For instance, Abaidoo and Agyapong (2023) focused on the impact of macroeconomic indicators or conditions on the performance of the financial market and the efficiency of financial institutions respectively instead of the uncertainty or risk associated with the financial market as pursued in the current study. This differing approach is pursued with the goal of proffering appropriate strategies for policy makers towards assuaging the financial market risk (uncertainty) due to macroeconomic dynamics. We further examine how the various fundamental relationships may be moderated by effective governance and institutional quality.

The purpose of this study is to evaluate the linkage between stock markets in Middle Eastern countries before and during the COVID-19 pandemic by using daily and monthly data sets for the period from 2011 to 2021.

The multivariate BEKK-GARCH model was computed to evaluate the existence of non-linear linkage among Middle Eastern stock markets. A correlation approach was used in this study to determine the type of linear connectivity between Middle Eastern stock markets. The study used monthly and daily data sets covering the years 2011 to 2021 to investigate the linkage between stock returns and the volatility spillover between the stock markets in Palestine, Jordan, Syria and Lebanon, both before and during COVID-19. To understand the types of relationships between markets before and during COVID-19, the daily data set was split into two periods.

Results from the pre-COVID-19 suggest that the Syria stock market is not related to any stock market in the Middle East markets; the Palestine and Lebanon stock markets exhibit a weak relationship, but Jordan and Palestine stock markets are strongly linked. Conversely, results from COVID-19 evince a very strong bidirectional volatility spillover between Middle East stock markets. Overall, the results indicate the existence of increased linkage during the COVID-19.

The data collection on a daily and monthly basis, both before and during COVID-19, presents certain limitations for the paper. Another limitation is that the data cannot be generalized to all other Middle Eastern countries; rather, the conclusions drawn can only be applied to these four countries. This is especially true if the scholars collected most of the necessary data but were unable to obtain certain data for various reasons.

These findings have implications for risk management, market regulation and the growth of local stock markets. Facilitating the growth of smaller, more specialized markets to improve integration with other Middle Eastern markets is one of the goals of the domestic stock market development policy. To ensure financial stability, Middle Eastern stock market linking policies should consider spillover risk and take steps to minimize it. Enhancing the range of investment opportunities accessible to shareholders and functioning as confidential risk-sharing mechanisms to facilitate improved risk management in Middle Eastern stock markets will not only significantly influence the mobilization of private capital to promote investment and local economic growth but also lay groundwork for integrated market platforms.

This paper adds to the body of literature by demonstrating the nature of the connections between these small markets and the larger markets in the Middle East region. Information from the smaller markets provides institutional insights that enhance the body of existing research, guide the formulation of evidence-based policies and advance financial literacy in these markets. This study contributes by comparing data from different stock markets to better understand the type and strength of the link and relationship between Middle Eastern stock markets, as well as any underlying or reinforcing factors that might have contributed to the relationship and the specific types of links that these markets shared prior and during COVID-19.

This paper presents a conceptual framework based on an extensive literature review. The aim of this study is to deepen understanding of the relationship between carbon performance and the financial market by applying qualitative research approaches.

The investigation has identified 372 articles sourced from Scopus databases, subjecting the bibliographic data to a comprehensive qualitative–quantitative analysis. The research uses established protocols for a structured literature review, adhering to PRISMA guidelines, machine learning-based structural topic modelling using Python and bibliometric citation analysis.

The results identified the leading academic authors, institutions and countries concerning carbon performance and financial markets literature. Quantitative studies dominate this research theme. The study has identified six knowledge clusters using topic modelling related to environmental reporting; price drivers of carbon markets; environmental policy and capital markets; financial development and carbon emissions; carbon risk and financial markets; and environmental performance and firm value. The results of the study also present the opportunities associated with carbon performance and the financial market and propose future research agendas on research through theory, characteristics, context and methodology.

The results of the study offer insights to practitioners, researchers and academicians regarding scientific development, intricate relationships and the complexities involved in the intersection of carbon performance and financial markets. For policymakers, a better understanding of carbon performance and financial markets will contribute to designing policies to set up priorities for countering carbon emissions.

The study highlights the critical areas that require attention to limit greenhouse gas emissions and promote decarbonisation effectively. Policymakers can leverage these insights to develop targeted and evidence-based policies that facilitate the transition to a more sustainable and low-carbon economy.

The study initially attempts to discuss the research stream on carbon performance and financial markets literature from a systematic literature review.

The purpose of this study is to examine the long- and short-term relationships between the BIST100, RSC index, the EURO/TRY exchange rate, bank loans provided to the private sector, imports and exports, and nonperforming loans (NPLs) with the autoregressive distributed lag (ARDL) bound, Johansen co-integration and vector error correction model (VECM) causality tests. Political developments, pandemics, conflicts between countries, trade chains and general economic and financial problems that have frequently occurred worldwide in recent years have significantly affected the Turkish economy as well as all other countries. Türkiye's economy is intricately linked with global financial markets, and understanding the dynamics between domestic macroeconomic variables and external financial indicators can provide insights into the country's economic resilience and vulnerabilities to external shocks.

Two distinct models are used in the analysis, with the Borsa Istanbul 100 (BIST100) Index and the Real Sector Confidence (RSC) Index serving as the dependent variables. This study examines the long- and short-term relationships between the BIST100, RSC index, the EURO/TRY exchange rate, bank loans provided to the private sector, imports and exports, and nonperforming loans (NPLs) with the ARDL bound, Johansen cointegration and VECM causality tests. The study uses monthly data spanning from December 31, 2002, to July 29, 2022, offering a comprehensive perspective on the dynamics of the Turkish economy.

The findings reveal significant long-run relationships between the BIST100 and the exchange rate, imports and exports. Short-run dynamics indicate the importance of changes in these variables, as well as NPLs and RSC, in affecting the BIST 100. The model captures the impact of economic indicators such as imports, NPLs and exports on RSC. In addition, it underscores a long-run equilibrium relationship, suggesting a responsive RSC to deviations. There is a strong positive relationship between BIST100 and the RSC. Causality tests reveal temporal relationships and causal links, with evidence of bidirectional causality for some variables, providing comprehensive insights into the short-term dynamics and adjustment mechanisms influencing RSC in the Turkish economic context.

Amidst global economic uncertainties and fluctuations, particularly in emerging markets such as Türkiye, understanding the relationships between financial market indicators and macroeconomic variables may help policymakers formulate effective monetary and fiscal policies aimed at stabilizing the economy, promoting sustainable growth and mitigating financial risks. In addition, these insights have practical implications for investors, regulators and other financial market participants seeking to make informed decisions in an increasingly interconnected and dynamic global economy.

This study uniquely examines a wide range of macroeconomic variables and financial indicators specific to Türkiye, including both traditional and nontraditional factors. This study also offers unprecedented insights into the unique characteristics and dynamics of the Turkish economy and provides valuable insights for businesses, investors and policymakers to consider Türkiye’s economic environment more effectively.

Product intervention power is introduced under the markets in financial instruments regulation (MiFIR) and packaged retail and insurance-based investment products (PRIIPs) Regulation for all EU Member States and gives National Competent Authorities (NCAs), European Securities and Markets Authority (ESMA), and European Banking Authority (EBA) powers to monitor financial products (and services) under their supervision and to “temporarily” prohibit or restrict the marketing, distribution, or sale of certain financial instruments, or to intervene in relation to certain financial activities or practice. This extends the supervisory measures defined in MiFID II to any PRIIPs (including insurance-based investment products “IBI products”) that would not otherwise fall under the scope of MiFID II. Product intervention power is given to the NCAs, and in order to use power, it requires to take the specifics of the individual case into account and a series of conditions, criteria, and factors to fulfill. Moreover, ESMA and the EBA have a type of control function and ability to override national regulators on product. The aim of product intervention powers is to ensure strengthening of investor protection, but given the potential significant impact of this power, calls into question of possibility to delay innovation and slow down product developments on the capital market.

This paper provided an overview of supervisory measures on product intervention, that is, scope of the product intervention power, criteria, factors, and risks which have to be taken into consideration when using this regulator’s tool.