Transaction tax and stock market behavior: evidence from an emerging market

This study examines the impact of a stamp tax rate increase on market behavior, using data from two stock exchanges in China. We find that when the tax rate increases from 0.3 to 0.5% (which implies that the transaction cost increases by about 1/3) trading volume decreases by 1/3. This implies an elasticity of turnover with respect to a stamp tax of −50% and an elasticity of turnover with respect to transaction cost of −100%. The markets’ volatility significantly increases after the increase in the tax rate. Furthermore, the change in the volatility structure indicates that the markets become less efficient in the sense that shocks are less quickly assimilated in the markets.

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Capital structure and value of reported earnings: evidence from an emerging market

This article documents a nonlinear impact of capital structure on the value of reported earnings in India during the period between 2009 and 2015. Our results show that earnings reported by firms with moderate level of debt are more valuable than earnings reported by firms with low or high level of debt. Our results are robust across various proxies of capital structure and across various sub-samples. This article argues that moderate level of debt is associated with low-agency problems, while low and high level of debt is synonymous to high-agency problems. Differences in agency problems result in reported earnings that have very different levels of relevance.     

Public reaction to stock market volatility: evidence from the ATUS

How does the public react to changes in the stock market? We know from the existing body of research that sentiment can predict future stock-market movements. However, do market movements affect sentiment? This article addresses these questions by testing whether market movements precede changes in the emotional well-being of the general public. Using Granger causality analysis, we compare how market movements affect public well-being during periods of increased (2010) and decreased (2012) volatility. The results show that 30-day-lagged returns are associated positively and significantly with the public’s emotional well-being, and that this effect is stronger during periods of increased volatility. The results also show that this effect may persist for up to 120 days.     

Foreign equity trading and emerging market volatility: Evidence from Indonesia and Thailand

This paper documents a strong contemporaneous relationship between foreign equity trading and market volatility in Indonesia and Thailand. Although foreign selling accounts for only a small portion of daily trading, it has the highest explanatory power for market volatility in both countries. Trading within foreign and local investor groups is often negatively related to volatility. The findings are robust to different sub-periods and different measures for volatility and trading activities. We explore two economic explanations for the asymmetric effects of foreign and local investors.     

Foreign equity trading and emerging market volatility: Evidence from Indonesia and Thailand

This paper documents a strong contemporaneous relationship between foreign equity trading and market volatility in Indonesia and Thailand. Although foreign selling accounts for only a small portion of daily trading, it has the highest explanatory power for market volatility in both countries. Trading within foreign and local investor groups is often negatively related to volatility. The findings are robust to different sub-periods and different measures for volatility and trading activities. We explore two economic explanations for the asymmetric effects of foreign and local investors.     

Standard and seasonal long memory in volatility: an application to Spanish inflation

The historical series of many economic variables, such as inflation, are characterized by a strong persistent behaviour in the form of long memory, not only in the long run or at zero frequency but often also at seasonal frequencies. In financial series, long memory is not apparent in levels but strong persistence in higher order moments such as volatility has been proven to be a stylized fact in stock returns. Interest in economic time series has, however, focused on the persistence of levels and little attention has been paid to higher order dependence, which can be important for assessing the stability of the series. We propose a semiparametric analysis of the standard and seasonal persistence of the volatility of a monthly Spanish inflation series. The conclusions can be summarized in three main results. First volatility shows strong persistence implying an unstable trend in prices, but its structure depends on the proxy used, the absolute values, the squares or the logarithms of squares. Second, the structure of the persistence of volatility changed with the first oil crisis in 1973, with a persistent trend in both periods, in contrast with levels. Third, the Taylor effect, which is well documented in financial series, does not apply in this series.     

Examining the relationship between stock return volatility and trading volume: new evidence from an emerging economy

Using daily stock return data for individual stocks from an emerging economy, this article examines the relationship between return volatility and trading volume under the theoretical postulate of the mixture of distributions hypothesis. The results suggest that the contemporaneous trading volume as a proxy for latent information arrival to the market did not contribute to the removal of significant ARCH or Generalized Autoregressive Conditional Heteroscedasticity effects that are found in stocks at the first stage of the investigation. The same holds for the lagged volume except for one case. This, perhaps, suggests that the trading volume (contemporaneous or lagged) is not adequately conveying information to induce traders’ views of the desirability of trade and, therefore, points to the need for searching for other micro and macro variables to be used as potential proxy for information arrival to the stock market of the emerging economy.     

Stock market integration and risk premium: Empirical evidence for emerging economies of South Asia

This article investigates the dynamics of regional financial integration and its determinants in an international setting. We test a conditional version of the International Capital Asset Pricing Model (ICAPM) accounting for the deviations from Purchasing Power Parity (PPP) as well as temporal variations in both regional and local sources of risk. Using data from five major South Asian markets (Malaysia, Thailand, Singapore, Indonesia, and Sri Lanka), our results support the validity of an ICAPM and indicate that the risk is regionally priced. Furthermore, we show that changes in the degree of regional stock market integration are explained principally by the U.S. term premium, and the level of market openness, whatever the measure of currency risk. Finally, and as expected, the degree of stock market integration varies considerably over time and from one market to another. As intense market integration induces both benefits and risks, our findings should have significant implications for economic policies and market regulations in emerging, frontier-emerging and transition countries, particularly for countries from the same region.     

Uncertainty and crude oil market volatility: new evidence

ABSTRACT

The main goal of this paper is to investigate the predictability of five economic uncertainty indices for oil price volatility in a changing world. We employ the standard predictive regression framework, several model combination approaches, as well as two prevailing model shrinkage methods to evaluate the performances of the uncertainty indices. The empirical results based on simple autoregression models including only one index suggest that global economic policy uncertainty (GEPU) and US equity market volatility (EMV) indices have significant predictive power for crude oil market volatility. In addition, the model combination approaches adopted in this paper can improve slightly the performances of individual autoregressive models. Lastly, the two model shrinkage methods, namely Elastin net and Lasso, outperform other individual AR-type model and combination models in most forecasting cases. Other empirical results based on alternative forecasting methods, estimation window sizes, high/low volatility and economic expansion/recession time periods further make sure the robustness of our major conclusions. The findings in this paper also have several important economic implications for oil investors.     

Financial market development and trade openness: evidence from emerging economies

International trade is said to be the engine of economic growth. Despite an enormous effort to explain this phenomenon, the relationship between financial market development and trade openness and integration into the world economy is still an enigma. This article investigates the relationship between financial market development and trade openness. To do this, we develop a long-run and short-run model (a bounds testing approach to cointegration) for 18 emerging economies over the period 1980 to 2011. Estimates from all models show that financial market development, including both the stock market and the banking sector, has significant effect on trade openness in both short-run and long-run phenomena in the majority of countries. Despite many similarities among emerging economies, additional evidence suggests that the link between either stock market development or banking sector development with trade openness works via each country’s specific structure.     

Modeling long memory volatility using realized measures of volatility: A realized HAR GARCH model

Long memory is an important feature of the volatility of financial returns. We document that the recently developed Realized GARCH model (Hansen et al., 2012) is insufficient for capturing the long memory of underlying volatility. We develop a parsimonious variant of the Realized GARCH model by introducing the HAR specification of Corsi (2009) into the volatility dynamics. A comparison of the theoretical and sample autocorrelation functions shows that the new model specification better captures the long memory dynamics of volatility. We calculate the multi-period out-of-sample volatility forecasts for several return series and find that the new model is a significant improvement over the classic Realized GARCH model.     

Herding behaviour and the declining value relevance of accounting information: evidence from an emerging stock market

This article sheds light on the underlying mechanisms behind the changes in the value relevance of accounting information in the Karachi Stock Exchange (KSE) during the 1999–2010 period. We find that neither changes in earnings quality nor the earnings lack of timeliness hypothesis can explain the decline in the value relevance of accounting information in the KSE. Based on the stylized facts associated with the growth of the KSE and the broader economics literature, we argue that the reduction in the explanatory power of accounting information vis-à-vis stock returns was caused by herding behaviour. Empirical estimates from state-space model of herding behaviour confirm the existence of herding, and we find that the value relevance of accounting information is significantly lower in periods characterized by herding behaviour. This article is also amongst the first attempts to empirically demonstrate that an expansionary monetary policy and increases in foreign portfolio investment lead to increased levels of herding.     

Determinants of corporate cash holdings: evidence from the emerging market of Turkey

This study analyses the factors that might explain the level of corporate cash holdings in a broad sample of Turkish-listed nonfinancial firms over the period 1997 to 2011. The empirical results reveal that, on average, Turkish firms hold 9.1% of their total assets as cash and cash equivalents. There is a steadily increasing trend in cash holding across the years. Both the system GMM and the difference GMM regression results are consistent; almost exactly the same variables are significant and going in the same direction. The findings indicate that the previous year’s cash holding is positive and significant determinant at the current year’s cash level, suggesting that these firms have a targeted cash level. Furthermore, the results reveal that cash flow and growth opportunities have positive and significant impact on the cash level. However, the amount of capital expenditures, liquid assets used as cash substitute, the degree of tangibility of assets, financial debt ratio and leverage have negative and significant impact on the cash level. Most of these explanatory variables were in line with our theoretical background and with previous studies as well.     

The relative importance of capital inflows: some evidence from emerging market economies

This article examines the relative importance of the main components of capital inflows for a sample of emerging market economies. Does composition matter? Is there a nexus between capital inflow components? We assess, firstly, how each capital inflow component reacts to important macro and policy variables, and secondly, how the components themselves interact. We find that bank inflows appear the most sensitive to macro factors, institutions matter more for Latin America and external financial factors matter more for Asia. Further, for Latin America, capital inflows interact largely as complements, while for Asia, any expansion of bank inflows might crowd out FDI and portfolio flows.     

Health status and labour market outcome: Empirical evidence from Australia

This paper uses eight waves of Australia Household, Income and Labour Dynamics data to study the issues of state dependence and the short‐run and long‐run response to health shocks on the labour market. We consider six alternative panel data binary dependent variable models with different ways of modelling labour market dynamics and individual heterogeneity. We find that the key results with regard to labour market dependence and the impacts of health shocks are sensitive to model specification and pooling of male and female samples with differences as large as sixfold. Specification analysis is conducted and favours the dynamic fixed effects logit model for separate male and female samples. Methods for evaluating dynamic response paths to a one‐time health shock for binary outcomes are also suggested and results are presented.     

Foreign investor trading and information asymmetry: evidence from a leading emerging market

This article examines the influence of foreign investor trading on information asymmetry in the Korean stock market, a representative emerging market characterized by a high level of information asymmetry between corporate insiders and outsiders, and among investors. We find a significantly positive relationship between foreign investor trading and the consequent bid–ask spread – the latter of which is considered as a proxy for the degree of information asymmetry – on both daily and weekly bases. Our results indicate that active foreign investor trading tends to exacerbate informational variation.     

Environmental disclosure and stock market liquidity: evidence from Arab MENA emerging markets

The objective of this study is to examine the impact of environmental disclosure levels on the stock market liquidity of Arab Middle Eastern and North African (MENA) companies. For that, a self-constructed disclosure index was applied to the annual reports for the years 2010, 2011 and 2012 and the bid-ask spread was used as a proxy for stock market liquidity. Results indicate that levels of environmental disclosure in MENA companies are quite low. In addition, using a sample of 276 firm-year observations, multivariate analysis shows that the higher the level of environmental disclosure provided in the annual reports, the lower the spread between the market bid and ask prices, thereby indicating an increase in stock market liquidity.     

Momentum or market? Determinants of large stock price changes in an emerging market

The aim of this study is to investigate the determinants of large price changes in Turkey. We also provide additional evidence on determinants of large price changes in different macroeconomic environments, specifically on the pre-crisis and post-crisis periods. Using recurrent event analysis with stratified observations and frailty effects, our findings suggest that momentum has a significant impact on large price changes during both pre-crisis and post-crisis periods. However, the impact of market is more significant on the estimation of large price declines in the pre-crisis period and of large price increases in the post-crisis period. Additional findings suggest that liquidity and market-to-book ratio have positive, firm size has a negative impact on likelihood of large price changes regardless of the direction of the stock price change and macroeconomic environment. Findings of this study provide new insights into the understanding of large price changes in an emerging market.     

Political uncertainty and stock market volatility: new evidence from the 2014 Scottish Independence Referendum

We investigate the impact of heightened political uncertainty in the run‐up to, and after, the 2014 Scottish independence referendum. The conditional volatilities of stock returns of our Scottish index and the FTSE all share index are characterised by the same GARCH parameters for a sample ending in late 2013, but this no longer holds when estimation extends closer to the referendum. The relative volatility of Scottish companies’ stock returns peaked when polls indicated the referendum result was ‘too close to call,’ fell back on the result, but rose again in the run‐up to publication of proposals for further devolution.     

The power of market mood — Evidence from an emerging market

This article focuses on investor behavior and, consequently, the mood in the market. By using a self-organizing network we develop a model which tries to capture the market mood and serves as an indicator of the reasonableness of selling or purchasing securities. In this sense, the final result of this model is the same as in the model-type prediction of future stock prices, with the only exception being that one is not required to know the concrete future values of the selected security. This will indirectly support the hypothesis that psychological factors are an important (if not key) market driving force.