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.     

Oil,the Baltic Dry index,market (il)liquidity and business cycles: evidence from net oil-exporting/oil-importing countries

Financial Markets and Portfolio Management - The recent financial crisis has made (il)liquidity research more significant than ever. Galariotis and Giouvris (Int Rev Financ Anal 38:44–69,...     

Spanish Economic Review referees (2003-2004)

Spanish Economic Review referees (2003-2004)

Spanish Economic Review referees (2003-2004)     

Educational Development and Labour Markets

For over a century and a half, there have been cyclical phases ofsaturation and shortage in the numbers of students enrolled at German and Prussian universities. Starting from thisobservations, this article constructs a neoclassical glutting theory. A two-fold hypothesis is put forward. Firstly,the behaviour of students in their choice of curriculum depends on the expected rewards. Indeed, the allocation of studentsto the various faculties depends on the comparative yields of the latter in terms of expected earnings and job availabilityin the corresponding professional sectors. Thus, the rewards expected by a student are represented by the earnings on thelabour market at a given moment and that he or she considers to be sustainable in time. Secondly, an attraction phenomenonmay appear for certain curricula when a shortage occurs in different professional sectors. Once the shortagehas been made up, the demand effect continues as a result of delay in the perception of the situation by young people.This may gradually lead to comparative over-production of qualifieduniversity leavers. This unbalanced situation diverts new cohorts ofstudents to other sectors ofeducation and may cause a new shortage, finally resulting in acyclical movement modulated according to job availability.     

The survivorship bias, share price effect, and small firm effect in Canadian markets

After controlling for survivorship bias, we examine the relation between average returns, firm size, and price levels for Canadian stocks during the 1975-1994 period. Our findings indicate that there is a significant inverse share price level effect in Canadian markets. When we compare the results of the overall sample with the groups of surviving firms and delisted stocks, the latter group shows strong performance for large-size, high-priced stocks. Evidence that supports an independent size effect is less clear for Canadian stocks. A small size effect exists only among the higher share price denominations, which suggests a confounded size-price effect. Although the delisted group returns are statistically different from those of the survivor and the overall groups, which implies some evidence of survivorship bias, the difference between the survivor group and the overall group is weak at best.     

Lean Implementation in Small and Medium‐Sized Enterprises in Less Developed Countries: Some Empirical Evidences From North Africa

The purpose of this paper is to provide an exploration and analysis of lean implementation in small and medium‐sized enterprises (SMEs) in less developed countries. Therefore, exploratory empirical evidences were collected from a survey study among a sample of 84 SMEs in North Africa. Moreover, statistical tests were conducted to assess the overall picture of lean among SMEs in this region. Although SMEs have expressed their immense need for lean, the level of its implementation is found to be very low. The findings could encourage further extensive studies to develop strategies to promote the use of lean in these countries.     

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.     

Predictors of export performance in developing economies: a longitudinal analysis of Moroccan SMEs

Purpose: To help increase understanding of the export performance, we investigate the influence of firm size, research and development (R&D), advertising expenditures and network relationships, and develop a conceptual model to increase export intensity. Design/methodology/approach: The research involved a four-year longitudinal study of export performance of 168 exporting SMEs in Morocco (672 observations). The two-stage least square estimation (G2SLS) was used to test the hypotheses. Findings: The findings of the two-stage least square estimation (G2SLS) suggest that export sales and domestic sales are interdependent and influence each other. R&D expenditures and network affiliation have positive and significant impact on export sales, while advertising expenditure has a negative and significant influence on export sales. Research limitations/implications: Readers should use caution in generalizing the findings unless verified in other developing contexts. Practical implications: The findings of this study are useful for managers and export policy makers in developing countries. A proper understanding of the predictors of export performance may help them encourage the growth and diversification of exports that is so vital for developing countries. Originality/value: Export performance is a key element in the field of international marketing. Unfortunately, the literature exhibits a lack of empirical studies in developing countries, particularly in Maghreb regions. The empirical testing of the theoretical model in a developing economy is a significant contribution to fill the needed gap in the literature toward generalizing findings.     

How do consumers categorize new hybrid products?

This article investigates how consumers categorize new hybrid products (NHPs). Given the limitations of the classical theories of categorization in the specific case of NHP, affordance, mobilized infrequently in marketing, turned out to be a useful categorization concept. Five types of NHP categorizations by consumers, based on the degree of affordance (low vs. high) and type of innovation (incremental vs. radical), have been detected and filled a gap in the literature on the subject.