Intraday bidirectional volatility spillover across international stock markets: does the global financial crisis matter?

This article studies volatility spillover between the US and the three largest European stock markets (Frankfurt, London and Paris) around the time of the recent Subprime crisis. In order to investigate the impact of the latter, we break our sample down into two sub-periods: a pre-crisis period and a post-crisis period, using a structural break test that has the advantage of endogenously testing for further breaks in the data. Unlike previous studies that have frequently investigated this issue using low frequency data, our article makes use of intraday data. Accordingly, using Threshold generalized autoregressive conditional heteroscedasticity (GARCH) model estimations, we find weak evidence of volatility transmission between the two regions before the Subprime crisis. However, during the post-crisis period, we record returns and volatility spillover from US to European markets and vice versa at different times of the trading day, indicating that the two regions became more dependent during the recent Subprime crisis, a finding that supports the contagion hypothesis between the US and European stock markets.     

Can the Islamic bank be an emerging leader? A panel data causality analysis

This short note investigates the ability of Islamic banks (IBs) to play a leading role in revamping and driving conventional banking. To this end, we used a panel of 10 major conventional banks (CBs) and 10 IBs over the period 2006–2013. We applied panel regression tests and carried out a panel causality analysis. Our findings identified no significant causality effect from IBs to CBs and indicated that IBs are not able to play a role of leader.     

Recent topics in Applied Financial Economics

This note discusses topics concerning recent evolutions in financial economics research. It focuses in particular on the progress of quantitative finance and applied economics in the context of the global financial crisis. To this end, I examine various important topics in Economics and Finance and discuss several empirical studies on the statistical properties of macroeconomic and financial data through the application of different econometric methodologies. I analyse their empirical findings and discuss their conclusions.     

Does Islamic banking performance vary across regions? A new puzzle

This article investigates the performance of Islamic banks (IBs) across four different regions (Egypt, the Gulf, the UK and the US) in the aftermath of the subprime crisis. Using daily data and two performance ratio proxies (ROA (Return on Asset) and Tobin Q), we show that the performance of IBs varies significantly from one region to another, with the highest level for regions in the West. This result suggests a new puzzle as application of the same Sharia Board rules and sales of similar products should normally provide comparable performance outcomes for IBs.     

Do Islamic and Conventional Banks Really Differ? A Panel Data Statistical Analysis

This study compares two types of banks: conventional banks and Islamic banks. Indeed, since the aftermath of the credit crunch and the global financial crisis (2008–2009), the former have been severely criticized, while the latter are increasingly considered as an alternative form of banking. From a panel sample of twenty major banks (ten conventional banks and ten Islamic banks) located in various developed and emerging countries over the period April 2006- February 2013, the present paper examines whether or not there are significant differences between the two banking systems. Our sample enables us to compare these international banking systems, taking the crisis impact and new regulations and supervisory rules into account. To this effect, we carried out econometric analyses of univariate and multivariate panel data, which pointed to two interesting findings. First, there are only a few significant differences between IBs and CBs in terms of financial risk. Second, PVAR (Panel Vector Autoregressive) estimates and the analysis of Impulse Response Functions (IRFs) indicate weak interactions between IBs and CBs, while panel causality tests reject the causality hypothesis from IBs to CBs.     

Uncertainty assessment in socially responsible and Islamic stock markets in the short and long terms: an ARDL approach

This study measures financial uncertainty for two classes of alternative financial assets (Dow Jones Islamic and Dow Jones Sustainability Indexes) and the conventional US stock market (Dow Jones Industrial Index) for the period of 1999–2017, using an asymmetric exponential GARCH model. Using an ARDL model, we propose an intertemporal dynamic analysis of uncertainty for Islamic and socially responsible stock markets. Our findings show that, first, conventional and ethical investments present high comparable levels of uncertainty for which the dynamics is time-varying. Second, uncertainty in the conventional US stock market has a significant and positive effect on the uncertainty in alternative stock markets. Thus, uncertainty characterizes conventional and ethical stock markets both in the short and long terms. In particular, while the short-term uncertainty of ethical markets might be associated with their characteristics, the long-term aspect of uncertainty for ethical funds is rather associated with the effect of the conventional stock market environment. Although these findings show mean-reversion and uncertainty spillovers from the alternative stock markets to the conventional US one, they suggest lack of safety and certainty for investments in ethic markets, which remain fragile and closely dependent on the conventional market.     

Nonlinear monetary policy reaction functions in large emerging economies: the case of Brazil and China

This article estimates monetary policy rules for two key emerging market economies: Brazil and China. It analyses whether the monetary authority reacts to changes in economic activity, financial markets, monetary conditions, the foreign exchange market and the commodity price. We assess the importance of nonlinearity using a smooth transition regression (STR) model. Using quarterly data over the time period 1990:1 to 2008:4, we find that considerations about the output gap and the real effective exchange rate (in the case of Brazil), and the inflation rate (for China) explain the nonlinear adjustment of the central bank rate. Moreover, the results suggest that central banks pursue a target range for the threshold variable rather than a specific point target. In the case of China, the McCallum rule shows that the GDP growth, the interest rate and the commodity price drive the response of the growth rate of the relevant monetary aggregate.     

Arbitrage costs and nonlinear adjustment in the G7 stock markets

This article aims to study stock price adjustments towards fundamentals due to the existence of arbitrage costs defined as the sum of transaction costs and a risky arbitrage premium associated with the uncertainty characterizing the fundamentals. Accordingly, it is shown that a two regime Smooth Transition Error Correction Model (STECM) is appropriate to reproduce the dynamics of stock price deviations from fundamentals in the G7 countries during the period 1969 to 2005. This model takes into account the interdependences or contagion effects between stock markets. Deviations appear to follow a quasi random walk in the central regime when prices are near fundamentals (i.e. when arbitrage costs are greater than expected arbitrage profits, the mean reversion mechanism is inactive), while they approach a white noise in the outer regimes (i.e. when arbitrage costs are lower than expected arbitrage profits, the mean reversion is active). Interestingly, as expected when arbitrage costs are heterogeneous, the estimated STECM shows that stock price adjustments are smooth and that the convergence speed depends on the size of the deviation. Finally, using two appropriate indicators proposed by Peel and Taylor (2000), both the magnitudes of under and overvaluation of stock price and the adjustment speed are calculated per date in the G7 countries. These indicators show that the dynamics of stock price adjustment are strongly dependent on both the date and the country under consideration.     

Are Islamic finance innovations enough for investors to escape from a financial downturn? Further evidence from portfolio simulations

Does Islamic finance constitute a promising solution for the current global financial crisis and are Islamic financial innovations enough to reassure investors, stabilize financial systems and provide them with a means of escaping from financial downturns? This article addresses these questions while investigating the dynamics of Islamic and conventional stock prices over the last few years. In particular, we apply Multivariate Vector Autoregressive (VAR) tools to test the interaction between conventional and Islamic financial products, and implement the Granger causality test to specify the dependence orientation of feedback between Islamic and conventional stock prices. Our article differs from previous work on the topic in that it develops portfolio simulations to determine whether Islamic finance can supplant conventional finance by generating investment and diversification opportunities during periods of crisis. In addition, we develop optimal portfolio strategies and investment proportions for conventional and Islamic funds to ensure the best resource allocation. Our main findings are: (i) the impact of the current crisis on the Islamic finance industry is less marked than on conventional finance, (ii) investment in Islamic products generates high returns, (iii) portfolios that include Islamic products reduce systemic risk and generate significant diversification benefits, (iv) the US crisis has led to significant changes in resource allocation through changes in investment choices.