Against the backdrop of the United Kingdom's withdrawal from the European Union (BREXIT), this study examines predictability in the stock markets of sixteen European countries, the United States, and the BRICS (Brazil, China, India, Russia, and South Africa) by analyzing how their returns predict the returns of sixteen commodities at different quantile levels. The study builds upon existing literature on predictability and extends it by investigating the impact of the BREXIT crisis on these markets. The findings suggest that investors can hedge their portfolios with various commodities during times of the BREXIT crisis, but caution is advised, and the trend of both equities and commodities should be closely monitored before making investment decisions.

The objective of this study is to create optimal two-asset portfolios consisting of stocks from Western Europe, the United States, and the BRICS (Brazil, China, India, Russia, and South Africa), as well as sixteen commodity types during the BREXIT period. We utilized dynamic variances and covariances from the GARCH model to derive weights for the two-asset portfolios, with each portfolio consisting of one equity factor and one commodity factor. Subsequently, hedge ratios were calculated for these various assets. Our findings indicate that portfolios consisting of European stocks do not require the inclusion of commodities, whereas the other equities do.

This paper investigates the impact of the COVID-19 pandemic on the volatility spillover and dependence structure among the major developed and emerging stock markets. The TVP-VAR connectedness decomposition approach and R-vine copula are implemented in this research. The results of the TVP-VAR connectedness decomposition approach reveal that the volatility spillover among the major developed and emerging stock markets has been significantly strengthened by the outbreak of the COVID-19 pandemic, although it has gradually faded over time. In addition, during the pandemic, the UK, German, French and Canadian stock markets are the spillover transmitters, while the Japanese, Chinese Hong Kong, Chinese and Indian stock markets are the receivers. It is also found that the US and Brazilian stock markets have undergone role shifts after the outbreak of the COVID-19 pandemic. The results of the R-vine copula model indicate that during the pandemic, the Canadian, French, and Chinese Hong Kong stock markets are the most important financial centre in the American, European, and Asian stock markets, respectively. Furthermore, the effect of the extreme risk contagion has been strengthened by the pandemic, particularly the downside risk contagion.

Climate change has become mankind’s main challenge. Greenhouse gas (GHG) emissions from shipping are not irresponsible for this, representing 3% of the global total; an amount equal to that of Germany’s emissions. The Fourth Greenhouse Gas Study 2020 of the International Maritime Organization (IMO) predicts that the proportion of GHG emissions from shipping will rise further, as global trade continues to recover and grow, along with the economic development of India, China and Africa. China and the European Union have proposed to include shipping in their carbon emissions trading systems (ETS). As a result, the study of the relationship between the carbon finance market and the shipping industry, attempted here for the first time, is particularly important both for policymakers and shipowners. We use wavelet analysis and the spillover index methods to explore the dynamic dependence and information spillovers between the carbon finance market and shipping. We discover a long-term dependence and information linkages between the two markets, with the carbon finance market being the dominant one. Major events, such as the 2009 global financial crisis; Brexit in 2016; the 2018 China-US trade frictions; and COVID-19 are shown to strengthen the dependence of carbon finance and shipping. We find that the dependence is strongest between the EU carbon finance market and dry bulk shipping, while the link is weaker in the case of tanker shipping. Nonetheless, carbon finance and tanker shipping showed a relatively stronger dependence when OPEC refused to cut production in 2014, and when the China-US trade dispute led to the collapse of oil prices after 2018. We show that information spillovers between carbon finance and shipping are bidirectional and asymmetric. The carbon finance market is the principal transmitter of information. Our results and their interpretation provide guidance to governments on whether (and how) to include shipping in emissions trading schemes, supporting at the same time the environmental sustainability decisions of shipping companies.

This study examines the price discovery patterns in the three BRICS countries’ stock index futures markets that were launched after 2000 – China, India, and Russia. We detect two structural breaks in these three futures price series and their underlying spot price series, and use them to form subsamples. Employing a Vector Error Correction Model (VECM) and the Hasbrouck (1995) test, we find the price discovery function of stock index futures markets generally improves over time in China and India, but declines in Russia. A closer examination not only confirms the findings of Yang et al. (2012) and Hou and Li (2013) regarding price discovery in China’s stock index markets, but also reveals the inconsistency of futures’ leading role in the price discovery process. Further, we find some evidence of day-of-the-week effects in earlier part of the sample in China, but not in India or Russia. And our GARCH model results show bidirectional volatility spillover between futures and spot in China and India, but only unidirectional in Russia.

A political-macroeconomic model is developed to explain why small differences in fiscal decentralization may ultimately lead to dramatically di¤erent economic policies toward FDI hence starkly different amount of FDI flows into two otherwise identical developing countries. Too much fiscal decentralization hurts incentives of the central government while too little fiscal decentralization renders the local governments captured by the protectionist special interest group. Moreover, the local government's preference for FDI can be endogenously polarized and sensitive to fiscal decentralization. Calibration and counterfactual experiments results support fiscal decentralization as the major reason for China and India's nine-fold difference in FDI per capita.

In the last decade hundreds of companies from emerging markets have listed and issued their shares on American and European stock markets. Brazil, Russia, India, and China have been the main origins of issuers, and stock exchanges in the US, UK, and Luxembourg the main destinations involved in the process. These four home and three host markets are the empirical focus of our paper. We present an economic geography perspective on foreign listing, grounded in the geography of finance and the world city network approaches, emphasising the sub-national origins of foreign listed firms, the role of intermediaries, and competition for foreign listings. Our analysis, based on comprehensive up-to-date datasets on foreign listings and foreign equity issues, shows that issuers listing their shares abroad are predominantly large firms, coming from relatively high-growth, internationally oriented sectors, and headquartered overwhelmingly in the leading economic centres of their home countries. Key intermediaries in the foreign listing process are the global investment banks, operating out of the very same centres where the cross-listing firms and the host stock exchanges are located. Competition between host stock markets is affected significantly by the direct and indirect costs of foreign listing, including disclosure and corporate governance requirements. Both host markets and intermediaries exhibit a significant degree of specialisation in terms of the size, sector, and geographical origin of the issuers they serve. The market for foreign listing differs significantly between the BRIC countries, with the Chinese market offering the greatest potential, but facing considerable uncertainty.

The extraordinary performance of China and India's economies raises questions about the traditional measures of the size and depth of financial systems. While banks and markets have played a limited role in providing funds for corporate sectors and supporting economic growth in these two countries, non-state, non-listed firms, relying mostly on internal and alternative financing channels, have been growing faster than the state and listed sectors and contributing much of the growth. The alternative financing channels, excluded in the traditional measures of financial systems, operate outside legal institutions and are backed by alternative mechanisms such as reputation, relationships, and trust. We define the capacity of a financial system to be the total funding available for all corporate sectors in an economy. Our findings from China and India demonstrate that alternative finance can significantly expand the financial system capacity and promote growth at the firm level and economy wide.

In recent times, the prices of internationally-traded commodities have reached record highs and are expected to continue growing in the foreseeable future. This phenomenon is partially driven by strong demand from a small number of emerging economies, such as China and India. This paper places the recent commodity price boom in historical context, drawing on an investigation of the long-term time-series properties, and presents unique features for 33 individual commodity prices. Using a new methodology for examining cross-sectional variation of commodity returns and its components, we find strong evidence that the prices of world primary commodities are extremely volatile. In addition, prices are roughly 30 percent more volatile under floating than under fixed exchange rate regimes. Finally, using the capital asset pricing model as a loose framework, we find that global macroeconomic risk components have become relatively more important in explaining commodity price volatility.

This paper studies the pricing of IPOs in the Indian context. The paper also examines whether the introduction of Bookbuilding has an impact on IPO pricing. The results suggest that IPO are underpriced. The results also suggest that bookbuilt IPOs show lower amount of underpricing than fixed price issues,. A more detailed study suggests that it has to do more with the size of the issue than the issue process. The paper also suggests a model, which demonstrates that IPO underpricing is unavoidable in a market with information asymmetry. The model predicts that the underpricing is more severe in case of smaller size issues. This is consistent with the empirical findings.