Given limited research on monetary policy rules in emerging markets, this paper estimates monetary policy rules for five key emerging market economies: Brazil, Russia, India, China and South Africa (BRICS) analysing whether the monetary authority reacts to changes in financial markets, in...

This paper assesses the macroeconomic impact of fiscal policy shocks for four key emerging market economies - Brazil, Russia, India and China (BRICs) – using a Bayesian Structural Vector Auto-Regressive (BSVAR) approach, a Sign-Restrictions Vector Auto-Regressive framework and a Panel Vector...

In this paper, we show, using the consumer’s budget constraint, that the residuals of the trend relationship among consumption, aggregate wealth, and labour income should predict both stock returns and housing returns. We use quarterly data for a panel of 31 emerging economies and find that,...

We build a panel of 31 emerging economies to uncover the determinants of private investment growth in emerging markets. Using several econometric techniques and quarterly data for the period 1990:1-2008:3, we show that: (i) the GDP and the cost of capital are among the fundamental determinants...

The paper uses a Panel Vector Auto-Regression (PVAR) approach to analyze the shortrun adjustment of private investment to shocks to fundamental and financial factors in emerging market economies. By relying on a panel of 31 emerging economies and quarterly frequency data for the period...

This paper provides time-series and panel evidence on the monetary policy transmission for five key emerging market economies: Brazil, Russia, India, China and South Africa (BRICS). The analysis is based on a Bayesian vector auto-regression (VAR) model that includes seven key variables. Instead...

We build a panel of 14 emerging economies to estimate the magnitude of housing, stock market, and money wealth effects on consumption. Using modern panel data econometric techniques and quarterly data for the period 1990/1-2008/2, we show that; (i) wealth effects are statistically significant...