Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market

We study the economic and non-economic sources of stock return comovements of the emerging Indian equity market and the developed equity markets of the US, UK, Germany, France, Canada and Japan. Our findings show that the probability of extreme comovements in the economic contraction regime is relatively higher than in the economic expansion regime. We show that international interest rates, inflation uncertainty and dividend yields are the main drivers of the asymmetric return comovements. Findings reported in the paper imply that the impact of interest rates and inflation on return comovements could be used for anticipating financial contagion and/or spillover effects. This is particularly critical since during extreme market conditions, the tail return comovements can potentially reveal critical information for active portfolio management

Predictability of stock returns using financial statement information: Evidence on semi-strong efficiency of emerging Greek stock market

This article examines the predictability of stock returns in the Athens Stock Exchange (ASE) during 1993 to 2006 by using accounting information. Using panel data analysis, this article concludes that the selected set of financial ratios contains significant information for predicting the cross-section of stock returns. Results indicate that portfolios selected on the basis of financial ratios produce higher than average returns, suggesting that the emerging Greek market does not fully incorporate accounting information into stock prices and hence it is not semi-strong efficient

International shocks and growth in emerging markets

The paper provides evidence on the extent and channels of transmission of international shocks on the economic growth of emerging markets. Using a block dynamic factor model, the shocks are decomposed into four components; a general global component, an activity based component, a financial component and a commodity price component. Using a sample of 75 emerging markets over the period 1992–2009, the paper finds that the average effect of international shocks on emerging markets' growth over the entire sample period is negligible, which supports the classic view of isolated, de-coupled emerging markets. However, there is considerable variation both over time, over cross-section and across factors. When we split our sample by time period, we find greater effect of the international factors on the emerging markets' growth during 2002–2009 period. There is evidence which suggests that sensitivity to international shocks has increased over time and at the country level these sensitivities are more pronounced. Although the drivers of integration vary as does the sensitivity to alternative sources of shocks, we find that certain emerging markets have become considerably more integrated with the global economy than others. Overall, there is evidence of a significant impact on the economic growth of some emerging markets of the international shock caused by the global financial crisis

The impact of statutory audit and corporate reporting directives on compliance costs, risk-taking and reporting quality of the EU banks

The paper examines the effects of recently introduced Statutory Audit and Corporate Reporting Directives (SACORD) on compliance costs and risk taking of the EU banks. Using data of 80 EU banks and 71 non-EU banks for the period 2004 to 2013, we estimate the effects of SACORD regulation compliance costs, risk taking and quality of reporting. Our results show that the economic effects of SACORD on audit fees are approximately 19 to 33 percent higher relative to the non-EU banks. We also find robust evidence of significant increase in in total compliance costs. The findings are consistent with those reported in the previous literature mainly for the US banks that regulation increases compliance costs. Further, we find that post SACORD, there is a significant increase in risk-taking and a decline in reporting quality. Findings suggest that the SACORD regulation does not appear to have the desired effects of constraining risk-taking by banks

The impact of monetary policy shocks on the Equity Risk Premium before and after the quantitative easing in the United Kingdom

The authors investigate the impact of structural monetary policy shocks on ex-post equity risk premium (ERP) of aggregate and sectoral FTSE indices and 25 Fama-French style value-weighted portfolios. They find that monetary policy shocks negatively affect the ERP but at the sectoral level, the magnitude of the response is heterogeneous. Further, monetary policy shocks have a significant negative (positive) impact on the ERP before (after) the implementation of quantitative easing (QE). The empirical evidence provided in the paper sheds light on the equity market’s asymmetric response to the BoE’s policy before and after the monetary stimulus

Lower tick sizes and futures pricing efficiency: evidence from the emerging Malaysian market

We provide robust evidence of the impact on spot market liquidity and the pricing efficiency of FBM-FKLI index futures following the introduction of lower tick sizes for the stocks listed in the Bursa Malaysia. Our findings show a significant increase in unexpected trading volume and the speed of mean reversion of the futures mispricing. We find that the increase in the unexpected trading volume of the underlying stocks helps in reducing inter-market price discrepancies. The findings offer new evidence that lowering of tick sizes improves pricing efficiency in the Malaysian futures market

A New Approach to Optimal Capital Allocation for RORAC Maximization in Banks

We introduce a new model for optimal internal capital allocation, which would allow banks to maximize their Return on Risk-Adjusted Capital (RORAC) under regulatory and capital constraints. We extend the single period model of Buch et al., (2011) to a multi-period model and improve its forecasting accuracy by including the debt effect and Bayesian learning innovations. The empirical application shows that our model significantly improves the RORAC of a sample of banks listed in the S&P 500 index