Return and volatility spillover between India, UK, USA and European stock markets: The Brexit impact

Integration or segmentation of markets determines whether substantial advantages in risk reduction can be attained through portfolio diversification in foreign securities. In an integrated market, investors face risk from country-specific factors and factors, which are common to all countries, but price only the later, as country-specific risk is diversifiable. The aim of this study is two-fold, firstly, investigating the superiority of the Fama-French three-factor model over Capital Asset Pricing Model (CAPM) and later using the superior model to test for integration of Indian and US equity markets (a proxy for global markets). Based on a sample of Bombay Stock Exchange 500 non-financial companies for the period 2003–2019, the data suggest the superiority of Fama-French three-factor model over CAPM. Using the Non-Linear Seemingly Unrelated Regression technique, the first half of the sample period (2003–2010) shows evidence of market segmentation; however, the second sub-period (2011–2019) shows weak signs of market integration, which is supported by the Johansen test of cointegration, suggesting that Indian market is gradually getting integrated with global markets.

The article developed a basic simulation model of diversification of foreign economic interactions, which makes it possible to assess the mutual influence of key economic indicators and their reaction to changes in the equilibrium in world markets. The peculiarity of the developed model of diversification of foreign economic interactions is its functioning as a complex dynamic system in which many factors are interrelated, and the connections are dynamic. This makes it possible to calculate a simulation model that takes into account hidden and subtle connections. While modeling foreign economic interactions and evaluating the influence of various regulators on them, in addition to the stage of model development itself, mandatory parameterization of this model is proposed, that is, the determination of specific types of dependence between the factors included in the model and the parameters of these dependencies.
The implementation of this model can be carried out in any simulation package.

The study examined the determinants of bank stability within the South African banking sector. By controlling for individual bank characteristics and market characteristics, the study determined possible determinants of solvency, a proxy for bank stability, measured by z-score within the South African financial sector. The South African financial sector is highly concentrated but with a significantly large number of banks, the greater portion being foreign owned banks. The business models of some of the financial intermediaries differ from the big four and therefore the influence of the type of business model is of great interest in this study, as it highlights a unique feature of the South African financial sector. The study’s investigation used panel data estimation techniques and found that among the specific bank characteristics, lending activity and capitalization do significantly affect solvency of banks and at sector level concentration was significant. The crisis dummy also revealed that the presence of a financial crisis heightened insolvency. The results have implications for financial institutions and therefore are of interest to regulators, bank management and researchers. Policy prescription in the form of Prompt Corrective Action framework is made to ensure proactive reaction to trends likely to cause instability.