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The purpose of this paper is to examine the nature of causal relations between banking sector maturity, stock market maturity, and four aspects of performance and operation of the economy: economic growth, inflation, openness in trade, and the degree of government involvement in the economy.

The authors look for possible links between the variables by conducting panel cointegration and causality tests, using a large sample of Asian countries over the period 1960-2011. Novel panel data estimation methods allow for robust estimates, using both variation between countries and variation over time.

The study identifies interesting causal links among the variables deriving uniquely from our innovations. In particular, The paper finds that for all regions considered, banking sector maturity and stock market maturity are causally linked, sometimes in both directions. Furthermore, stock market maturity may lead to economic growth, both directly and indirectly through indicators such as inflation and trade openness. The findings also support the notion that economic growth affects the maturity of the stock market in most regions.

The results lend support to the notion that a mature financial sector is a key contributor to generating economic growth. Furthermore, economic growth itself has the potential to bring about maturity in the financial sector.

The paper uses sophisticated principal-component analysis, panel cointegration, and Granger causality tests, methods not used in this literature before. The method was applied to recent data pertaining to 35 Asian countries – a group of countries that has previously not been adopted in this literature.

This study aims to investigate the time-frequency comovement between wheat futures traded on three US markets (Chicago Board of Trade (CBOT), Kansas City Board of Trade (KCBOT) and Minneapolis Grain Exchange (MGE)) at different maturities and a global equity index.

As they allow to trace transitional shifts over time and across different frequency bands, this paper relies on continuous wavelet tools to investigate the time-frequency comovement among wheat and global stock markets.

The results show an increase in wheat futures prices at all maturities and a weak integration level within each wheat market during the subprime crisis. Moreover, the wavelet power spectra maps show high wheat and equity price volatility at different time scales and for various subperiods. Furthermore, the continuous wavelet coherence highlights time-frequency-varying comovements between the markets considered, which become particularly high during times of crisis.

The results provide market participants with a better understanding of the nature as well as the magnitude of the relationship between the global financial market and different wheat markets at different maturities and during tranquil and crisis periods. Indeed, from investors' perspective it is important to understand how markets are segmented or integrated during tranquil and crisis periods in order to better assess risks, diversify portfolios and implement more effective hedging strategies. As for regulators, a better understanding of the level of integration of different markets would further help refine macroprudential policies, and thus strengthen financial stability and resilience.

This paper enriches the existing literature by investigating the time-frequency comovement between wheat and a global equity market. Indeed, the dynamics between stock and wheat markets across different nearest to maturities have not been widely explored by previous studies.

This chapter sheds new light on the linkages between stock market fluctuations and business cycles in Asia. It shows that at cyclical frequencies stock markets lead business cycles by six months on average. China, Korea, and Taiwan constitute exceptions, as their real and stock market cycles are contemporaneously synchronized. The low level of maturity of these markets offers a potential explanation of this outcome. Furthermore, we find that the linkage also holds during phases of cyclical upswing and downturn, with the exception of China, where the financial market lags behind industrial production during expansions. Finally, for most of the countries (except Thailand and Malaysia), the linkage is also robust to the presence of financial crises.

Despite the increased level of national conflict around the world, outward foreign direct investment (FDI) targeting these areas has increased. This study aims to adopt a dynamic capability lens to examine the relationship between firm capabilities and the level of conflict in their FDI portfolio. The paper argues that conflict zones may be an attractive destination for a subset of firms, given their capability profile.

The authors draw from a sample of US Fortune 500 firms (2019) to examine their FDI destinations; specifically, they collected data on the locations of their foreign subsidiaries, which resulted into a final sample of 118 diversified US firms. The model was analyzed using ordinary least squares multiple regression to predict the extent to which their FDI portfolios have ongoing domestic and international conflict and the impact of expansion in such conflict-stricken markets on firm financial performance (ROA).

The authors find that firms with greater international geographical diversification capabilities, as depicted by their geographic spread, and those with greater local stock management capability, as depicted by their initial public offering maturity, are more likely to launch subsidiaries in high ongoing conflict zones. Furthermore, the authors find that while it may be unprofitable for firms to seek FDI in high-conflict zones, firms that operate in strategic industries (manufacturing, infrastructure, natural resource extraction) experienced positive performance. This can be attributed to the fact that firms operating in these sectors are more likely to directly profit in the reconstruction/rebuilding of such conflict-stricken markets.

While previous literature focused on macro-level factors, this study sought to highlight firm-level factors that determine FDI decision in conflict zones. The authors capture different dimensions/sources of firms’ dynamic capability, one resulting from foreign experience (i.e. geographic diversification) and the other from local experience (i.e. domestic stock management) to assess how each correlate with multinational corporations’ level of conflict in their FDI portfolio. Furthermore, the authors contribute to the understanding of the relationship between expansion in conflict zones and firm performance and highlight that industry does matter. Implications from this study highlight the importance of building risk management capabilities to handle not just expansion in conflict zones but also during challenging times like those brought about by pandemics.

This paper makes attempt to test the firm‐level long‐term asset growth (LAG) effects in returns by examining the cross‐sectional relation between firm‐level LAG and subsequent abnormal stock returns. The purpose of this paper is to investigate whether limits‐to‐arbitrage can explain this asset growth anomaly in Chinese stock market.

Empirical research was carried out.

The empirical results show that asset growth anomaly in A‐share stock market is significant and robust. The conclusion provides more evidence for the existence of asset growth anomaly. Additionally, arbitrage risk indicated by idiosyncratic risk cannot explain the anomaly, arbitrage risk indicated by accounting information transparency can partly explain the anomaly, and arbitrage cost proxied by Amihud's measure of illiquidity indicator can completely explain the asset growth anomaly in A‐share stock market.

The results of this paper imply that strengthening the disclosure of firm information and improving the liquidity of the market are important to improve the efficiency of the A‐share stock market.

The paper selects the sample of non‐financial listed companies in A‐share stock market to research the asset growth anomaly and investigates whether limits‐to‐arbitrage can explain this anomaly. This paper proves the existence of asset growth anomaly in A‐share stock market and is a good reference for further researches.

This study attempts to examine the relationship between the banking sector and stock market development in India.

To analyze the relationship between banks and stock market development, the ratio of stock market capitalization to GDP is proxied by stock market development. The determinants of the stock market development are used for analysis namely domestic credit to the private sector as a ratio of GDP is used as a proxy for the development of banks, saving rate, per capita real GDP, and inflation. The autoregressive distributed lag (ARDL)-Bounds testing approach is used for the analysis. The paper also used the unrestricted error correction model and CUSUM and CUSUM square test to check the stability of the model.

The ARDL bounds test found that there is a long-run relationship between stock market development and bank-centered financial development. The results also revealed that the stock market is positively influenced by the development of banks, savings, and per capita real GDP in the short-run as well as long-run.

This paper suggests that improvement of banking sector plays an important role to increase liquidity of the capital market development in India. This paper also suggests that the economic growth and savings rate have positive impact to induce the capital market growth in both short run and long run.

The study has investigated the empirical relationship between the banking sector and the stock market development in a different methodological approach by using an ARDL model which is appropriate for a small sample size. There are few studies related to bank-centered financial development and stock market development in the context of India.

Globally, there are more than 16 stock markets that are undergoing drastic enough growth to be considered emerging. These markets possess characteristics very distinct from those which may be characterised as mature. This paper compares interim reporting regimes in two markets with these different characteristics. The regulatory environment within the USA represents a mature market, and the Finnish regulatory environment depicts an emerging market. First, historical developments are detailed for both of these contexts. Similarities and differences in the regulation are systematically pointed out. Second, the potential consequences of some differences in regulatory schemes are discussed. Special emphasis is placed on the influences these variations have on both legislators and the producers of interim reports. This paper should offer valuable insights for the regulation of a large number of emerging markets.

This study is designed to examine the dynamic interrelationships between four cryptocurrencies (Bitcoin, Ethereum, Dogecoin and Cardano) and the Indian equity market. Additionally, the study seeks to investigate the potential safe haven, hedge and diversification uses of these digital currencies within the Indian equity market.

This study employs the wavelet approach to examine the time-varying volatility of the studied assets and the lead-lag relationship between stocks and cryptocurrencies. The authors execute the entire analysis using daily data from 1st October 2017 to 30th September 2023.

The result of the study shows that financial distress due to the pandemic and the Russian invasion of Ukraine have a negative effect on the Indian equities and cryptocurrency markets, escalating their price volatility. Also, the connectedness between the returns of stock and digital currency exhibits a strong positive relationship during periods of financial distress. Additionally, cryptocurrencies serve as a tool of diversification or hedging in the Indian equities markets during normal financial circumstances, but they do not serve as a diversifier or safe haven during periods of financial turmoil.

This study contributes to understanding the relationship between the Indian equity market and four cryptocurrencies using wavelet techniques in the time and frequency domains, considering both normal and crisis times. This can offer valuable insights into the potential of cryptocurrencies inside the Indian equities markets, mainly with respect to varying financial conditions and investment horizons.

The purpose of this paper is to investigate the relationships between stock market returns of 13 countries based upon monthly data spanning December 1987 to April 2007.

Specifically, the principal component (PC) and maximum likelihood (ML) methods are used to examine any discernable patterns of stock market co‐movements.

Factor analysis provides evidence that stock returns in a number of Asian countries are highly correlated and, based on the resulting robust factor loadings, they form the first well‐defined common factor. The paper also finds consistent results (based on both the PC and ML methods) suggesting that the stock market returns of developed countries are also highly correlated, and constitute our second factor.

The paper concludes that, inter alia, geographical proximity and the level of economic development do matter when it comes to co‐movements of stock returns and that this has important implications for financial portfolio diversification if the aim is to reduce systematic risks across countries.

Very few previous studies have investigated the benefits from portfolio diversification by using the PC and ML methods.

The paper investigates whether Granger causal relationships exist between bond market development, stock market development, economic growth and two other macroeconomic variables, namely, inflation rate and real interest rate. The study aims to expand the domain of economic growth by including a more in-depth analysis of the possible impact that bond market and stock market development has on economic growth than is normally found in the literature.

This paper uses a panel data set of the G-20 countries for the period 1991-2016. It uses a panel vector auto-regression model to reveal the nature of any Granger causality among the five variables.

The paper provides empirical insights that both bond market development and stock market development are cointegrated with economic growth, inflation rate and real interest rate. The most robust result from the panel Granger causality test is that bond market development, stock market development, inflation rate and real interest rate are demonstrable drivers of economic growth in the long run.

Because of the chosen research approach, the research results may lack theoretical foundations. Therefore, perhaps the more fully grounded interactive findings of this study can inspire theorists to fill the missing gap.

This paper includes lessons for policymakers in the G-20 countries seeking to stimulate economic growth in the long run and how they need to ensure greater stability of the interest rate and inflation rate as well as fully developing their financial markets, as both bond markets and stock markets are obvious drivers of economic growth.

This paper fulfills an identified need to study causal relationships between bond market development, stock market development, economic growth and two other macroeconomic variables, i.e. inflation rate and real interest rate.