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The dynamic impact of financial market capitalisation on South Africa's unemployment and economic growth is empirically explored in this study using the finance-augmented Solow model framework. South Africa's high rate of structural unemployment and its robust financial market, which is at the same standard as those in countries with advanced economies, served as the driving force for the study. Evidence for the dynamic link is presented by a time series analysis that employed the VECM model. South Africa continues to face persistent macroeconomic issues, including stagnant economic growth, declining investment, and rising unemployment. Market capitalisation, net acquisition of financial assets, and foreign direct investment all have a favourable and substantial effect on economic growth. According to VECM estimation results, unemployment has a detrimental effect on economic growth. Also, market capitalisation has significant positive effects on economic growth. Unemployment and economic growth are inversely related, thus unemployment has an adverse effect on economic growth. According to the findings, financial markets have distinct effects on economic growth because of their various functions within the economy. It was also shown that foreign direct investment has a crucial role in increasing economic growth. This implies the important role that the financial market and systems have in South Africa's economic growth. The article advises authorities to keep enacting measures to boost capital market growth to increase employment, while also making sure that other structural issues affecting the labour market are effectively addressed to stimulate job creation.

The progress of financial markets depends on the way world investors foresee the market potential of the country of choice. Countries that are associated with favorable economic incentives are able to motivate investments in their respective stock markets. The objective of this paper is to examine the role of the many economic components which constitute the Market Potential Index in enhancing stock market progress. The methodology goes through testing and estimation. The tests include linearity versus nonlinearity (RESET), normality, and cointegration. The estimation includes cointegration regression and discriminant analysis to distinguish between high and low stock market progress. This study examines unbalanced panel data that covers the years 1996–2022 for 54 countries where a stock market exists. The results show the following: (a) increases in people’s expenditure result in decreases in consumption of investment in financial securities; (b) the investments in infrastructure technology is positively associated with stock market progress; (c) the positive effect of economic freedom indicates that further adaptive trading regulations are beneficial to stock market progress; (d) increases in imports consume large proportions of people’s income, coming at the expense of investment in financial securities; (e) stock markets that are associated with high country risk are characterized by a positive risk–return tradeoff, i.e., a high risk premium; (f) the stock markets listed in the MPI can reach high progress by improving three indicators, namely commercial infrastructure, market receptivity, and country risk. This paper offers a thorough and unique examination of the institutional arrangements and stock market progress. The paper offers a guide to policy makers about how economic institutional arrangements can be promoted in order to reach high stock market progress.

As measures of concentration, especially for market (industry) concentration based on market shares, a variety of different measures or indices have been proposed. However, the various indices, including the two most widely used ones, the concentration ratio and the Herfindahl-Hirschman index (HHI), lack an important property: the value-validity property. An alternative index with this and other desirable properties is introduced. The new index makes it permissible to properly assess the extent of the concentration and make order and difference comparisons between index values as being true representations of the real concentration characteristic (attribute). Computer simulation data and real market-share data are used in the analysis. It is shown that the new index has a close functional relationship with the HHI index and has a firm theoretical relationship with market power as measured by the price-cost margin. Corresponding modifications to existing merger guidelines are presented.

'Investor Protection and Corporate Governance' analyzes the impact of corporate governance on firm performance and valuation. Using unique datasets gathered at the firm-level—the first such data in the region—and results from a homogeneous corporate governance questionnaire, the book examines corporate governance characteristics, ownership structures, dividend policies, and performance measures. The book's analysis reveals the very high levels of ownership and voting rights concentrations and monolithic governance structures in the largest samples of Latin American companies up to now, and new data emphasize the importance of specific characteristics of the investor protection regimes in several Latin American countries. By and large, those firms with better governance measures across several dimensions are granted higher valuations and thus lower cost of capital. This title will be useful to researchers, policy makers, government officials, and other professionals involved in corporate governance, economic policy, and business finance, law, and management.

We identify a new channel for the transmission of shocks across international markets. Investor flows to funds domiciled in developed markets force significant changes in these funds' emerging market portfolio allocations. These forced trades or \"fire sales\" affect emerging market equity prices, correlations, and betas, and are related to but distinct from effects arising purely from fund holdings or from overlapping ownership of emerging markets in fund portfolios. A simple model and calibration exercise highlight the importance to these findings of \"push\" effects from funds' domicile countries and \"co-ownership spillover\" between markets with overlapping fund ownership.

This study investigates the determinants for the use of derivatives by firms in the Indian market. Using a sample of 433 firms listed in the National Stock Exchange (NSE) in India for the period 2013-2018, we find that firm size, debt to equity, turnover, price-earnings ratio and the magnitude of international transactions are significant influential drivers responsible for pushing the firm to use derivatives for risk management. The findings also document that the financial distress of the firm, which is one of the important reasons for the use of derivatives in advanced economies, happens to be insignificant when it comes to developing countries like India. Using logistic regression, it is observed that highly levered firms condense the use of derivatives as part of a financial risk management strategy, which contradicts existing literature. All other findings are generally consistent with the theory of derivatives as well as with international evidence.

We show that higher institutional ownership causes firms to pay more dividends. Our identification relies on a discontinuity in ownership around Russell index thresholds. Our estimates indicate that a one-percentage-point increase in institutional ownership causes a $7 million (8%) increase in dividends. We also find differences in shareholder proposals and voting patterns that suggest that even nonactivist institutions play an important role in monitoring firm behavior. The effect of institutional ownership on dividends is stronger for firms with higher expected agency costs.

We study the after-trading-cost performance of anomalies and the effectiveness of transaction cost mitigation techniques. Introducing a buy/hold spread, with more stringent requirements for establishing positions than for maintaining them, is the most effective cost mitigation technique. Most anomalies with less than 50% turnover per month generate significant net spreads when designed to mitigate transaction costs; few with higher turnover do. The extent to which new capital reduces strategy profitability is inversely related to turnover, and strategies based on size, value, and profitability have the greatest capacity to support new capital. Transaction costs always reduce strategy profitability, increasing data-snooping concerns.

This paper develops a simple equilibrium model of CEO pay. CEOs have different talents and are matched to firms in a competitive assignment model. In market equilibrium, a CEO's pay depends on both the size of his firm and the aggregate firm size. The model determines the level of CEO pay across firms and over time, offering a benchmark for calibratable corporate finance. We find a very small dispersion in CEO talent, which nonetheless justifies large pay differences. In recent decades at least, the size of large firms explains many of the patterns in CEO pay, across firms, over time, and between countries. In particular, in the baseline specification of the model's parameters, the sixfold increase of U.S. CEO pay between 1980 and 2003 can be fully attributed to the sixfold increase in market capitalization of large companies during that period.

This article presents a study of how stock price efficiency and return distributions are affected by short-sale constraints. The study is based on a global dataset, from 2005 to 2008, that includes more than 12,600 stocks from 26 countries. We present two main findings. First, lending supply has a significant impact on efficiency. Stocks with higher short-sale constraints, measured as low lending supply, have lower price efficiency. Second, relaxing short-sales constraints is not associated with an increase in either price instability or the occurrence of extreme negative returns.