Intraday volume and volatility relations with and without public news

This paper reexamines the dynamic relation between intraday trading volume and return volatility of large and small NYSE stocks in two partitioned samples, with and without identifiable public news. We argue that the sequential information arrival hypothesis (SIAH) can be tested only in periods containing public news. After partitioning the sample into periods with and without public news, we find bi-directional Granger-causality between volume and volatility in the presence of public information as hypothesized by the SIAH. Our analysis further suggests that return volatility is higher in the periods with public news, while trading volume is significantly higher in the no-news period; perhaps owing to the importance of private information for trading stocks. Using the sample without public news, we find evidence that volume Granger-causes volatility without feedback. These results are broadly consistent with behavioral models like the overconfidence and biased self-attribution model of [Daniel, K., Hirshleifer, D., Subrahmanyam, A., 1998. Investor psychology and security market under- and over-reactions. Journal of Finance 53, 1839–1885]. It appears that overconfident investors overrate the precision of their private news signals and therefore trade too aggressively in the absence of public news; when public news arrives, investors’ biased self-attribution triggers excessive return volatility.     

Loyalty toward online food delivery service: the role of e-service quality and food quality

This study assesses the direct influence of food quality and e-service quality on customer loyalty toward online food delivery (OFD) service and its indirect influence through the mediation of customer satisfaction and perceived value. This study uses a survey of 405 OFD service customers from Bandung, Indonesia. By applying variance-based partial least squares to evaluate the proposed model, this study confirms the direct effect of food quality on online loyalty, but not e-service quality. Further, this study discloses the partial mediation role of customer satisfaction and perceived value on the relationship between both food quality and e-service quality on online loyalty toward OFD services.     

You May Not Reap What You Sow: How Employees’ Moral Awareness Minimizes Ethical Leadership’s Positive Impact on Workplace Deviance

Although a growing body of research has shown the positive impact of ethical leadership on workplace deviance, questions remain as to whether its benefits are consistent across all situations. In this investigation, we explore an important boundary condition of ethical leadership by exploring how employees’ moral awareness may lessen the need for ethical leadership. Drawing on substitutes for leadership theory, we suggest that when individuals already possess a heightened level of moral awareness, ethical leadership’s role in reducing deviant actions may be reduced. However, when individuals lack this strong moral disposition, ethical leadership may be instrumental in inspiring them to reduce their deviant actions. To enhance the external validity and generalizability of our findings, the current research used two large field samples of working professionals in both Turkey and the USA. Results suggest that ethical leadership’s positive influence on workplace deviance is dependent upon the individual’s moral awareness—helpful for those employees whose moral awareness is low, but not high. Thus, our investigation helps to build theory around the contingencies of ethical leadership and the specific audience for whom it may be more (or less) influential.     

An Approach to Security for Unstructured Big Data

Security of Big Data is a huge concern. In a broad sense, Big Data contains two types of data: structured and unstructured. Providing security to unstructured data is more difficult than providing security to structured data. In this paper, we have developed an approach to provide adequate security to unstructured data by considering types of data and their sensitivity levels. We have reviewed the different analytics methods of Big Data to build nodes of different types of data. Each type of data has been classified to provide adequate security and enhance the overhead of the security system. To provide security to a data node, and a security suite has been designed by incorporating different security algorithms. Those security algorithms collectively form a security suite which has been interfaced with the data node. Information on data sensitivity has been collected through a survey. We have shown through several experiments on multiple computer systems with varied configurations that data classification with respect to sensitivity levels enhances the performance of the system. The experimental results show how and in what amount the designed security suite reduces overhead and increases security simultaneously.     

Experience, information asymmetry, and rational forecast bias

This study examines whether it is ever rational for analysts to post biased estimates and how information asymmetry and analyst experience factor into the decision. Using a construct where analysts wish to minimize their forecasting error, we model forecasted earnings when analysts combine private information with consensus estimates to determine the optimal forecast bias, i.e., the deviation from the consensus. We show that the analyst??s rational bias increases with information asymmetry, but is concavely related with experience. Novice analysts post estimates similar to the consensus but as they become more experienced and develop private information channels, their estimates become biased and deviated from the consensus. Highly seasoned analysts, who have superior analytical skills and valuable relationships, need not post biased forecasts.     

Does Bank Diversification Improve Output Growth? Evidence from the Recent Global Crisis

This study examines whether the diversity of activities conducted by the banking sector in the years approaching the recent global financial crisis alleviated the adverse impact of the crisis. Using data for 28 industries in 66 countries, we find that bank diversification has strengthened country resilience to the crisis, as measured by industry growth over the period 2008–2009. However, we find that while both bank‐based and market‐based economies have been affected negatively by the crisis, the contribution of bank diversification in mitigating the real impact of the crisis is pronounced only in bank‐based economies. Overall, our findings suggest that countries with significant bank diversification have also been the most resilient to the recent global crisis.     

Determinants of consumers’ intentions to use smartphones apps for flight ticket bookings

This study examines customers’ adoption and acceptance of smartphone apps to book their flight tickets. By integrating customers’ innovativeness, involvement and perceived trust as additional variables, this study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) and proposes a theoretical model that includes seven explanatory variables of the customers’ behavioural intentions: performance expectancy, effort expectancy, social influence, facilitating conditions, customers’ innovativeness, customers’ involvement and perceived trust. Data were collected from 369 customers who had booked their flight tickets via smartphone apps and was further analysed by employing partial least squares (PLS). Findings suggest that performance expectancy, facilitating conditions, customer innovativeness and perceived trust are positive and significant determinants of customers’ intentions to book their flight tickets on smartphone apps. Accordingly, several important implications for academics and industry decision makers are formulated.     

Intellectual capital reporting practices in an Islamic bank: A case study

Given the nature and importance of Islamic banks in recent times, we can expect them to have significant intellectual capital anchored in their Sharia‐based knowledge and expertise. However, we know very little or nothing about how and why intellectual capital‐related information is provided in their corporate reports. We fill this gap in our existing knowledge of the field with a view to enhance relevant literature. As far as we know, this article is one of the earliest exploratory attempts to examine intellectual capital reporting practices of an Islamic bank. We have undertaken a longitudinal (2001–2015) case study related to the intellectual capital reporting practices of an Islamic bank. Key results include significant rise of intellectual capital reporting over time, dominance of internal capital‐related items in intellectual capital reporting profile and the dynamics of changes in intellectual capital reporting practices over time. Through an institutional theory lens, we explain that this is due to the changes in the external institutional environment and various intra‐organisational factors such as strong ethical culture, unique knowledge base (Sharia), and corporate governance regime.     

Catastrophe futures and reinsurance contracts: An incomplete markets approach

We present a theoretical methodology for the pricing of catastrophe (CAT) derivatives with event‐dependent and non‐convex payoffs given the price of a CAT indexed futures contract. We do not assume a fully diversifiable CAT event risk, nor do we assume knowledge of the martingale probability measure beyond the futures price. We derive tight bounds on the contract value and present trading strategies exploiting the mispricing whenever the bounds are violated. We estimate the bounds of the reinsurance contract with data from hurricane landings in Florida. Our method is also applicable when there is no futures market but the price of a CAT‐indexed bond is available.     

The exchange regime and trade balance in Turkey

Over the last 15 years, high trade deficits have become a source of external vulnerability for the relatively stabilized Turkish economy. This corresponds to the period where authorities have been following a floating exchange rate regime. Thus, this study aims to empirically show whether the adopted exchange rate regime has an impact on the trade balance for the period of 1987 Q1 to 2015 Q2. Estimation results indicate that there is a long-run relationship between the real effective exchange rate and trade balance under both fixed and floating regimes in Turkey, but there is no evidence for the J-curve hypothesis.