Transmission Of Volatility Shocks Research Articles

Exploring the transmission and determinants of volatility shocks in emerging South-Asian markets

The transmission of volatility shocks in two prominent South Asian markets is analysed to identify whether shocks in these markets overlap and are associated with any global or national events. This study attempts to provide an insight into the interdependence between these markets and their interaction with the US market. The data is analysed using multiple methods. First, the iterated cumulative sum of squares (ICSS) algorithm is employed to determine shocks in the returns series and then examined to understand their domestic/global scope. A modified version of GARCH (1, 1), is used to determine the impact of events on volatility persistence. The study reveals that the shocks in important stock indices associate mostly with country-specific or regional political and/or economic events. The assimilation of shocks in the GARCH (1, 1) model improves the volatility measures only in two of the candidate markets.

MARKUPS AND THE REAL EFFECTS OF VOLATILITY SHOCKS

This article studies the role of endogenous markups in the transmission of volatility shocks in real models. I design a variant of a small open economy model with volatility shocks and firm dynamics that gives rise to endogenous markups. I calibrate this model to match the business cycle facts in emerging economies and show that the impact of volatility shocks is substantially amplified if markups are endogenously time varying. Volatility shocks increase savings, due to precautionary motives, and markups, which act as a wedge that endogenously decreases real wages and labor supply with further negative aggregate dynamics that are absent in the models with constant markups.

On the Link between Volatility and Growth: A Spatial Econometrics Approach

This paper examines the link between macro volatility and economic growth in the lens of spatial econometrics. We present an unconstrained spatial Durbin Ramey-Ramey model. We test the extended model in a panel of 78 countries to investigate all the possible dimensions along which spatial interactions can affect the link between macro volatility and growth. In contrast to previous literature, we split the effects of volatility on growth into direct and indirect effects using partial derivative impacts approach. We found that both the direct and indirect effects of volatility on growth are negative; the latter effect suggesting the transmission of volatility shocks to neighbouring countries. Growth rates observed in neighbouring countries has a positive effect on growth rate of a particular country.

Transmission Of Volatility Shocks Between The Equity And Foreign Exchange Markets In South Africa

<p>The paper assesses the dynamic interaction between exchange rates and stock market volatility in South Africa by making use of the generalised impulse response function obtained from a bivariate VAR model. Volatility variables in the VAR system are obtained from a family of GARCH models based on criteria such as covariance stationarity and leverage effects. The findings of the paper show that foreign exchange conditional volatility responds positively to volatility shocks to the equity market. Nonetheless, the response of the equity market conditional volatility to volatility shocks to the foreign exchange market is short-lived and neutral for most of the time horizon periods. The paper attributes this finding mainly to the extent of foreign participation in emerging equity market in general and the South African equity market in particular.</p>

Latin American stock markets’ volatility spillovers during the financial crises: a multivariate FIAPARCH-DCC framework

The main purpose of this paper is to analyse the volatility spillovers in Latin American emerging stock markets. A multivariate Fractionally Integrated Asymmetric Power ARCH model with dynamic conditional correlations of Engle (1982) with a Student-t distribution is employed. We examine whether considering for long memory and asymmetry in emerging stock markets behaviour may provide more insights into the volatility spillovers phenomenon. In this paper we select daily frequency stock indexes covering four emerging countries in Latin America for the period (January 1995–September 2009). Our results point out the importance of volatility spillovers in these countries. Moreover, long memory and asymmetry in emerging stock market dynamics seem to provide more insights into the transmission of volatility shocks. More interestingly, the analysis of the DCCEs behaviour over time via multivariate cointegration, vector error correction model and the Cholesky variance decomposition shows shifts behaviour around major Latin American financial crisis and recent subprime crisis. On the practical side, these results may be useful for international portfolio managers and Latin American stock market authorities.

The leverage effect in the UK stock market

This study seeks to explain the leverage in UK stock returns by reference to the return volatility, leverage and size characteristics of UK companies. A leverage effect is found that is stronger for smaller companies and has greater explanatory power over the returns of smaller companies. The properties of a theoretical model that predicts that companies with higher leverage ratios will experience greater leverage effects are explored. On examining leverage ratio data, it is found that there is a propensity for smaller companies to have higher leverage ratios. The transmission of volatility shocks between the companies is also examined and it is found that the volatility of larger firm returns is important in determining both the volatility and returns of smaller firms, but not the reverse. Moreover, it is found that where volatility spillovers are important, they improve out-of-sample volatility forecasts. © 2005 Taylor & Francis Group Ltd.