Market impact: a systematic study of the high frequency options market

This paper deals with a fundamental subject that has seldom been addressed in recent years, that of market impact in the options market. Our analysis is based on a proprietary database of metaorders—large orders that are split into smaller pieces before being sent to the market—on one of the main Asian markets. In line with our previous work on the equity market [Said, E., Bel Hadj Ayed, A., Husson, A. and Abergel, F., Market impact: A systematic study of limit orders. Mark. Microstruct. Liq., 2018, 3(3&4), 1850008.], we propose an algorithmic approach to identify metaorders, based on some implied volatility parameters, the at the money forward volatility and at the money forward skew. In both cases, we obtain results similar to the now well-understood equity market: Square-Root Law, Fair Pricing Condition and Market Impact Dynamics.     

Twenty-Five Years after the Fall of the Berlin Wall: An Empirical Revisit of West German Consumers' Attitudes Toward Products and Brands from Former East Germany

More than 25 years after the German reunification, data show that products/brands from the eastern regions of Germany (“Neue Länder”) still do not have significant shares in the country's western part (“Alte Länder”). To analyze potential reasons for this phenomenon, our current study replicates a previous study that investigated selected attitudes of Alte Länder consumers toward products/brands from the Neue Länder. It is shown that factors such as consumer ethnocentrism, product judgment, willingness to buy, and economic animosity continue to influence consumer behavior and as such our study offers potential explanation for the failure of Neue Länder products/brands in the western regions of Germany.     

Evidence on the efficacy of interest-rate risk disclosures by commercial banks

This paper documents evidence on the efficacy of maturity-gap disclosures of commercial banks in indicating their net interest income that is exposed to interest-rate risk. For the large sample of banks that filed call reports from 1990 to 1997, a period that includes a wide range of interest rate movements, we find that (i) one-year maturity gap measures are significantly related to the one-year- and three-years-ahead change in net interest income, (ii) fixed-rate and variable-rate instruments differ in explanatory ability, and (iii) the one-to-five-year aggregate gap measures also have some power in explaining three-year-ahead changes in net interest income. These findings hold after controlling for the ex post growth in assets as well as the amount of rate-sensitive assets and liabilities (a competing set of explanatory variables). Because the Securities and Exchange Commission (SEC)'s [Securities and Exchange Commission (SEC), (1997). Disclosure of accounting policies for derivative financial instruments and derivative commodity instruments and disclosure of qualitative and quantitative information about market risk inherent in derivative financial instruments, other financial instruments, and derivative commodity instruments. Release Nos. 33-7386; 3438223; IC-22487; FR-48; International Series No. 1047; File No. S7-35-95 (January 31, 1997), Washington, DC] tabular disclosures are finer than maturity-gap data, our findings mitigate concerns about the usefulness of the SEC's market-risk-disclosure requirements. Furthermore, they suggest contrary to the claims of certain banks that the omission of prepayment and early withdrawal risk from gap measures does not totally compromise the ability of gap data to indicate interest-risk exposures.     

Managers’ segment disclosure choices under IFRS 8: EU evidence

We examine the impact of proprietary and agency cost motives on segment disclosure quality and quantity and how the adoption of the principle IFRS 8 affects this impact. By using hand-collected data, our results show that proprietary and agency costs play a relevant role in determining the quality and quantity of segment disclosure. We find that proprietary costs are a particularly relevant reason for providing lower segment disclosure quality post-IFRS 8. Our results also suggest that firms’ segment disclosure choice is dependent on disclosure dimension. These results contribute to the ongoing debate regarding IFRS 8 and have valuable implications for accounting regulators.     

High-Performance HR Practices,Work Stress and Quit Intentions in the Public Health Sector: Does person–organization fit matter?

Drawing on the attraction–selection–attrition (ASA) framework, this paper examines a mechanism, namely person–organization (P–O) fit, through which high-performance HR practices (HPHRPs) affect two negative employee outcomes: work-related stress and quit intentions. Using a sample of Egyptian public health sector workers, a mediation model is tested empirically using structural equation modelling. The study results show that HPHRPs positively affected P–O fit, which in turn had significant negative associations with work stress and quit intentions. P–O fit also explained a high proportion of mediation in the relationship between HPHRP and both outcomes.     

Life Expectancy in 2040: What Do Clinical Experts Expect?

We use expert clinical and public health opinion to estimate likely changes in the prevention and treatment of important disease conditions and how they will affect future life expectancy. Focus groups were held including clinical and public health faculty with expertise in the six leading causes of death in the United States. Mortality rates and life tables for 2040 were derived by sex and age. Life expectancy at age 20 and 65 was compared to figures published by the Social Security Administration and to estimates from the Lee-Carter method. There was agreement among all three approaches that life expectancy at age 20 will increase by approximately one year per decade for females and males between now and 2040. According to the clinical experts, 70% of the improvement in life expectancy will occur in cardiovascular disease and cancer, while in the last 30 years most of the improvement has occurred in cardiovascular disease. Expert opinion suggests that most of the increase in life expectancy will be attributable to the already achieved reduction in smoking rates, especially for women.     

Critical success factors determining performance of cross‐border acquisition: Evidence from the African telecom market

This study investigates the factors affecting Bharti Airtel's cross‐border postacquisition performance in an African market. This study describes the relationships among various factors such as technical capability, affiliated firm's absorptive capacity, and organizational learning capabilities, which determine the successful operations of the Zain acquisition deal in South Africa. This paper adopts a qualitative approach to identify factors that influence the postacquisition performance. Seven factors are identified based on the literature. Consequently, it has become a necessity to encapsulate these factors in suitable proportions. In this study, we have developed a total interpretive structural modeling (TISM) to analyze the postacquisition performance of Bharti Airtel in South Africa. Our research has highlighted six dynamic factors (organizational learning capability, knowledge management, technology capability, technology relatedness, acquirer's absorptive capacity, and national culture difference) that affect the firm's postacquisition performance. The interpretive structural model (ISM) and total interpretive structural model for postacquisition performance are built‐up. The developed TISM will support academics and practitioners to develop their understanding of acquisition performance of parent companies in the context of telecom business in the South African market.     

The effects of regional trade integration and renewable energy transition on environmental quality: Evidence from South Asian neighbors

Improving environmental quality across South Asia has become one of the utmost important policy agendas of the concerned governments. The susceptibility of the majority of the South Asian countries to multifaceted climate change adversities has motivated the need to identify the factors that can function to ensure environmental sustainability across South Asia. Although several studies have highlighted the importance of globalization and cleaner energy use in tackling the environmental degradaton issues of the South Asian countries, very little is known regarding the impacts of regional trade and renewable energy transition in this regard. Hence, this paper aims to scrutinize the effects of enhancing intra-regional trade integration and undergoing renewable energy transition on per capita carbon dioxide emissions in the context of six South Asian nations between 1990 and 2016. The results from the recently developed cross-sectionally augmented autoregressive distributed lag regression approach, accounting for cross-sectional dependency and slope heterogeneity issues, reveal that facilitating trade among the South Asian neighbors reduces carbon emissions in both the short and long run. Moreover, enhancing the share of renewable energy in the aggregate energy consumption figures is also found to reduce carbon dioxide emissions in both the short and long run. Furthermore, both regional trade integration and renewable energy transition are found to jointly reduce carbon dioxide emissions in South Asia. The results also authenticate the existence of the environmental Kuznets curve hypothesis, while financial development and urbanization are found to boost carbon dioxide emissions only in the long run.     

Pareto efficient allocation of an in-motion wireless charging infrastructure for electric vehicles in a multipath network

Electric vehicles (EV) use an eco-friendly technology that limits the greenhouse gas emissions of the transport sector, but the limited battery capacity and the density of the battery are the major barriers to the widespread adoption of EV. To mitigate this, a good method seems to be the innovative wireless charging technology called ‘On-Line EV (OLEV)’, which is a contactless electric power transfer technology. This EV technology has the potential to charge the vehicle’s battery dynamically while the vehicle is in motion. This system helps to reduce not only the size of the battery but also its cost, and it also contributes to extending the driving range before the EV has to stop. The high cost of this technology requires an optimal location of the infrastructure along the route. For this reason, the objective of this paper is to study the problem of the location of the wireless charging infrastructure in a transport network composed of multiple routes between the origin and the destination. To find a strategic solution to this problem, we first and foremost propose a nonlinear integer programming solution to reach a compromise between the cost of the battery, which is related to its capacity, and the cost of installing the power transmitters, while maintaining the quality of the vehicle’s routing. Second, we adapt the multi-objective particle swarm optimization (MPSO) approach to our problem, as the particles were robust in solving nonlinear optimization problems. Since we have a multi-objective problem with two binary variables, we combine the binary and discrete versions of the particle swarm optimization approach with the multi-objective one. The port of Le Havre is presented as a case study to illustrate the proposed methodology. The results are analyzed and discussed in order to point out the efficiency of our resolution method.     

A fuzzy goal programming approach to analyse sustainable development goals of India

Energy policy, environmental planning and economic development play a key role in sustainable development. Sustainable development requires suitable and strategic policies satisfying multiple and conflicting objectives. Fuzzy goal programming (FGP) is a well-known approach in multi-criteria decision-making for its practical application. In this article, a FGP approach is proposed to analyse environmental, energy and sustainability goals of India by the year 2030 with reference to the key economic sectors of India. The presented model analyses the improvement opportunities, requirement of efforts and implementation of the sustainable development plans. Numerical illustration is also provided for validation and application of the proposed model.