Liquidity commonality in order-driven trading: evidence from the Athens Stock Exchange

We examine the presence of liquidity commonality in the order-driven Athens Stock Exchange (ASE). Unlike the majority of liquidity commonality studies that focus on the bid–ask spread, our analysis extends deeper in the Limit Order Book, providing insight on the price impact of both small and large trades. We utilize a 6-month FTSE/ATHEX-20 intraday data set to estimate the liquidity factor model of Chordia et al. (2000). To this end, we conduct single-equation analysis as well as panel data analysis with the use of two-way clustered errors, correcting for simultaneous firm and time correlations. Moreover, we apply standard principal component analysis on stock liquidities to extract the marketwide liquidity component. We find that liquidity commonality is low at the bid–ask spread, whereas it increases deeper in the book; consequently, large traders face liquidity risks associated with both individual stock and marketwide illiquidity. Moreover, our empirical evidence hints that liquidity commonality is asynchronous, suggesting that the ASE trading process includes various levels of information speed. Our analysis contributes to the understanding of liquidity commonality in order-driven trading, especially in emerging markets like the ASE where trading activity is limited and information speed is low.     

Technical efficiency in the Chinese banking sector

This paper applies an innovative DEA (Data Envelopment Analysis) model, the Inverse B-convex model, in order to investigate the technical efficiency of a representative sample of Chinese banks. The banks are ranked according to their efficiency over the period 1998-2008. The results paint a mixed picture of the Chinese banks' performance. The influence of firm size and ownership on bank efficiency is not observed. However, the study shows that overall efficiency improved over time, especially after the entry of China into the WTO. Policy implications are derived.     

Productivity and efficiency change and shareholder value: evidence from the Spanish banking sector

Productivity change and shareholder value have been analysed in the banking sector in the last few years, although it should be noted that these two important aspects have been studied separately. In this regard, the main contribution of our study is to link these two lines of research by verifying whether those banks characterized by higher levels of efficiency and productivity change have a higher shareholder value. To measure changes in efficiency and productivity we use the Malmquist nonparametric technique, which is calculated from Data Envelopment Analysis (DEA) linear programming approach. The Malmquist total factor productivity index enables separation of the ‘catching up’ effect, i.e. changes over time in technical efficiency, from ‘technological change’, i.e. the shift of best practice frontier over time due to technological progress. Our results for a sample of listed Spanish banks in the period 2000 to 2004 confirm that those banks with higher efficiency and productivity changes have a higher shareholder value, even after controlling for the impact of traditional measures of performance, such as return on assets.     

Technical efficiency and scale efficiency in the Italian banking sector: a non-parametric approach

Measures of technical and scale efficiencies are derived in the Italian banking industries by implementing non-parametric Data Envelopment Analysis on a cross section of 174 Italian banks taken in 1991. The methodology of the parametric and non-parametric approaches to measure efficiency are discussed. The existence of both technical and allocative efficiency is established. This result is robust to modifications in the specification of inputs and outputs suggested by the Intermediation Approach and by the Asset Approach. In implementing both the Intermediation and the Asset Approach the traditional specification of inputs is modified to allow an explicit role for financial capital. In addition, regression analysis is used on a bank-specific measure of inefficiency to investigate determinants of banks' efficiency. Efficiency is best explained by productive specialization, size and, to a lesser extent, by location.     

A Re-examination of the Performance of Value Strategies in the Athens Stock Exchange

This study tests the performance of contrarian (value) strategies in the Athens Stock Exchange (ASE) in a recent period of time (2003–8) on the basis of the price to earnings ratios, dividend yields, firm size (market value), market to book ratios, financial leverage ratios, and market beta. Apart from the univariate portfolio analysis, we implement a novel panel data analysis based on the procedure suggested by Pesaran (2004, Econometrica 74:967–1012, 2006) that provides a valid estimation and inference under cross sectional dependence. Our portfolio analysis results highlight for investors in the ASE the superiority of value strategies formed on the basis of stocks with low price-to-earnings, high dividend yield ratios, and low market-to-book ratios. Our panel data analysis results depend on whether or not we correct for the problem of cross-sectional correlation in the regression residuals as suggested by Pesaran’s (Econometrica 74:967–1012, 2006) method. When we correct for this problem, we obtain evidence which support only a negative association between annual stock returns and market-to-book ratios. This may imply to investors that an adoption of a value strategy based on the market-to-book ratio may constitute a safer option compared with the other two alternatives suggested by the portfolio analysis results.     

Maximum likelihood estimation of time-varying parameters: an application to the Athens Stock Exchange index

The problem of maximum likelihood estimation of time-varying parameters is considered. A hierarchical approach is proposed that involves, first, the estimation of the model order and parameters when they are assumed time-invariant. Second, for each parameter, an autoregressive (AR) model, with constant coefficients, is developed. This allows the parameters to change over time. Finally, the estimates of the AR coefficients for each parameter are used as initial conditions to a time-varying model with AR coefficients, which are allowed to change over time subject to some regularity constraints. This approach is then applied to the Athens Stock Exchange index, where the dominant forces affecting this index are analysed.     

Serving SMEs Via the Stock Exchange: Historical Lessons from the Lisbon Stock Exchange

The development of large companies in the western world — many being huge multinational corporations — and the sheer size of their financial needs has given an added importance to tradability, a fact that can clearly be gauged by the recently discovered “high frequency trading” (HFT) operations which are only possible with large issues. Also contributing to the importance of tradability is the recent demutualization of most exchanges during the 1990s, which turned them into for-profit organizations. In fact, large issues of shares or bonds allow economies of scale, and generate experience in listing practices and trading operations, thereby enhancing the profitability of those commercially oriented stock exchanges. Thus, small and medium enterprises (SMEs) are now much less attractive to these organizations, as compared to large enterprises (LEs), due to their inherent lack of liquidity and to the economies of scale. We discuss the barriers before SMEs, which require special accommodations to be able to raise stable funds for their development.     

The impact of trading floor closure on market efficiency: evidence from the Toronto Stock Exchange

On 23 April 1997, the Toronto Stock Exchange closed its trading floor, making it at that time the second-largest stock exchange in North America to choose a purely electronic trading environment for its equities. Exploiting this natural experiment, we find that the move to electronic trading resulted in a higher cost of immediacy (bid–ask spreads), increased information asymmetry and an overall deterioration of short-horizon return predictability from past order flows, reducing the efficiency of price discovery. Our results suggest that the human element plays an important role in order execution and complements automated electronic trading by improving the efficiency of incorporating new information into prices.     

Profits persistence and ownership: evidence from the Italian banking sector

The hypothesis that ownership structure affects persistence of profits in the Italian banking industry is tested. The time-invariant components of ROA and ROE are regressed against ownership concentration and the fraction of shares held by the major shareholders. The results show that abnormal profits increase if ownership is concentrated in foundations and banks, and decrease if market forces are allowed to operate.     

Testing the relationship between competition and efficiency in banking: A panel data analysis

The relationship between competition and efficiency in the banking sectors of five EU countries is investigated using Granger-type causality test estimations. We find positive causation between market power and efficiency, whereas the causality running from efficiency to competition is weak.     

Exchange rates in the short run: Some further results

This note extends our earlier results [published in this Journal. Vol. 10 (1977)] on the dollar DM exchange rate to the 1977–78 period. The original equation estimated on 1971–76 data overpredicts the dollar value of the DM during most of 1978. Thus the rise of the DM in the second half of 1978 was consistent with the ‘fundamentals’ equation. We also show that a net foriegn liability position may destabilize the foreign exchange market and that this may have been empirically significant for the dollar DM rate in 1973–74.     

Remittances and banking sector breadth and depth: Evidence from Mexico

Despite the importance of remittances to developing countries, their impact on banking sector breadth and depth in recipient countries has been largely unexplored. We examine this topic using municipality-level data on the fraction of households receiving remittances and on measures of banking breadth and depth for Mexico. We find that remittances are strongly associated with greater banking breadth and depth, increasing the number of branches and accounts per capita and the amount of deposits to GDP. These effects are significant both statistically and economically, and are robust to the potential endogeneity of remittances, inclusion of a wide range of controls and even municipal fixed effects specifications using an alternative panel data set from a sample of municipalities.     

Intellectual capital and firm performance: evidence from Indian banking sector

In the aftermath of the 2008 financial crisis, the entire Indian banking industry was paralysed and their performance was shattered by the unfolding of enormous cases of Non-performing Assets (NPA). The study estimates the operating efficiency of 40 Indian banks for 5 years (2011–15) as a proxy of performance measure using the output-oriented DEA-BCC model. We find that nearly 62% of the state-owned banks and 47% of the private banks are inefficient indicating that the inefficient banks need to reduce their inputs or improve their output to become efficient. The study further investigates the relationship between intellectual capital (IC) and bank performance using a truncated regression model. The regression results show that out of the three components of intellectual capital, only human capital efficiency is positively and significantly associated with operational efficiency while structural capital and finance capital have a negative impact on the efficiency of banks. The study concludes that to achieve competitive edge banks should invest in their human capital. The results are robust in the case of financial variables taken as a proxy for performance.     

Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis

This paper investigates the consistency of efficiency scores obtained from the stochastic frontier analysis and data envelopment analysis methods. We estimate cost efficiency and economies of scale based on an unbalanced panel data set of Chinese banks over the period 1994 to 2007. The results suggest moderate consistency between parametric and non-parametric frontier methods in efficiency scores rankings, identification of best and worst practise banks, the stability of efficiency scores over time and correlation between frontier efficiency and accounting based performance measures. Based on the findings, we conclude that the use of multiple frontier techniques for efficiency analysis is to be strongly recommended and that this methodological cross-checking analysis will result in more robust and convincing assessments of bank performance.     

Dividend-Driven Trading Strategies: Evidence from the Warsaw Stock Exchange

This study presents an analysis of dividend-driven trading strategies based on dividend yield growth effects in the Polish stock market in the years 1994–2004. Results indicate that the dividend yield growth portfolios were capable of beating the market in the entire sample period. Their performance, however, was not consistent over time and the highest returns were obtained during final years. Empirical findings based on the analysis of different types of portfolios demonstrate the importance of dividends as a source of significant fundamental information items from stock market companies. At the same time, they show that a dividend investment strategy for the Polish stock market is most successful when the selection of stocks for the dividend yield growth portfolios is subject to further restrictions, most notably concerning company size.

Conditional risk and return in Asian emerging markets: evidence from the banking sector

Previous studies reach no consensus on the relationship between risk and return using data from one market. This study argues that the market factor should be noticed in assessing the risk-return relationship in a partially integrated emerging market. The analysis aims to provide new insight into the nature of the risk-return relationship by a conditional factor GARCH-M framework that controls for time-series effects, to investigate the banking sector in five Asian emerging markets of China, Hong Kong, Indonesia, Malaysia and Taiwan during the period 1995 to 2004. Finally, the study provides evidence on these relations before and after the Asian financial crisis of 1997. The results are generally consistent across the markets and with expectations, and have implications for empirical assessments of the risk-return relationship and diversification.     

Financial deregulation and productivity growth in banking sector: empirical evidence from Bangladesh

This article examines the effects of regulatory reform on productivity growth in the Bangladesh banking industry. We use a unique balanced panel dataset comprising bank-level annual data from the early deregulation year (1984) to the most recent available period (2012) from major commercial banks in Bangladesh. Applying the Färe-Primont index, the paper provides estimates of productivity growth and identifies sources of total factor productivity (TFP) change. Empirical results show the sample banks have experienced positive TFP change after the financial deregulation. On average, TFP growth is higher in private banks than their public sector counterparts in the post-reform period. In addition, the decomposition analysis shows technological progress is the main driver of productivity change. Similar results are obtained by using the stochastic frontier analysis (SFA). Thus, empirical results remain robust irrespective of the methodology used. The regression analysis finds a positive technical change in the first stage of the reform program, i.e. during the transition period, as leading banks employ advanced technology to compete with potential new entrants. The result also shows that the banking industry still remains concentrated within the state-owned banks.     

Looking at the determinants of efficiency in banking: evidence from Italian mutual-cooperatives

Italy has experienced a restructuring and consolidation process in the banking industry since the 1990s that is expected to foster efficiency and competition. Despite the reforms, a peculiarity of the industry is the persistence of small mutual-cooperative banks (Banche di Credito Cooperativo, BCCs) active in narrow markets. The scope of this paper is to analyze the determinants of BCCs’ efficiency in the 2006–2011 period. In the first step of the study, a stochastic cost frontier is used to yield bank efficiency. Then the cost efficiency becomes the dependent variable of fixed and random effect models. The reference market of BCCs is the province (NUTS3). We find that BCC cost efficiency is positively affected by market concentration and demand density and inversely related to branching. Importantly, these results are robust to any sample restriction anchored to the distribution of efficiency. While the evidence regarding the credit quality is inconclusive for all BCCs, the sensitivity analysis shows that the risk in local markets is a source of BCC cost inefficiency.