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.     

Learning during audit tasks in the field: A model, methodology, and experiment

Learning during performance of auditing tasks in the field is modeled as a change in the state of an auditor's knowledge base that results from experience during performance of a task. Several hypotheses are proposed and, along with data obtained by means of behavior observation and concurrent verbal protocols, used to interpret the problem-solving behaviors of four first-year auditors who performed an unfamiliar but audit-related task in simulated auditing environments. Significant findings of learning during performance of the experimental task are reported. While the data show that the auditor-subjects continuously encountered new learning situations throughout the task, they are inconclusive regarding learning through improved knowledge content. On the other hand, significant evidence is found that the learning that did occur was manifest by a greater availability of the auditor-subjects' knowledge. The implications of these findings in terms of the nature of audit tasks and the development of more expert-like task behavior are discussed.     

Competitive decision making: Two and a half frames

We argue that the study of competitive decision making has been heavily influenced by the frames of reference that are adopted by researchers. The dominant economic frame and the emergent behavioral frame describe largely separate phenomena and have little overlap. Drawing from examples of learning in games and markets, we show how each of these frames falls short of capturing some interesting elements in competitive decisions. We then describe how a coevolutionary perspective may be emerging as an integrative paradigm for the study of competitive decisions.This paper was prepared for the conference, Understanding Competitive Decision Making. Comments by the participants of that conference and Paul Shoemaker are gratefully acknowledged, as are discussions with Colin Camerer, Eldar Shafir, and Sharoni Shafir.     

Strategic alliances and internationalisation in the aircraft manufacturing industry

Based on an indicator measuring the technological level of aircraft, this paper shows that in the aircraft industry, firms are obliged to deal not only with high technological barriers, but growing financial and market barriers, too. In order to reduce these, a complex network of relationships has developed over time. This network involves both main firms belonging to the world oligopoly and firms capable of offering specialised technology and/or a potential broadening of the market. The result is a worldwide production organisation. This paper highlights the fact that the aircraft industry is undergoing a global reorganisation featuring an integration process where six groups (two in Europe and four in the United States) have come to the fore. In the future, it will be possible to imagine new forms of co-operation between the emerging European and American groups.     

Incumbency advantage and its value

Markets with network effects are typically concentrated. The aim of this paper is to discuss some recent work on “incumbency advantage.” That is, the fact that firms already installed generate higher profits than entrants even if the latter offer identical or even better terms (in terms of price and quality) to consumers. In particular, we review recently known sources of the advantage and potential mitigating factors and point to a number of open issues.     

A triple‐win scenario for horizontal collaboration in logistics: Determining enabling and key success factors

Horizontal collaborations emerged as a new strategic option in the logistics sector during the last decade. However, successful implementation of horizontal collaborations is far from a developed issue due to several barriers that exist or emerge when setting up such collaborative projects. This study aims at identifying the enabling factors supporting successful implementation of horizontal collaborations in the logistics sector, and in identifying key success factors that logistics service providers (LSPs) should consider. Results from a within‐ and cross‐case analysis of two horizontal collaboration projects in the contract logistics sector support the proposed theoretical framework, highlighting both enabling and key success factors of horizontal collaborations. The former refers to factors that are related to LSPs, customers, and industries, whereas the latter results in a triple‐win scenario characterised by LSP competences, trust, and environmental management orientation of successful horizontal collaboration projects.     

Moving beyond the tensions in open environmental innovation towards a holistic perspective

This paper analyses factors determining open environmental innovation (EI) and explores the possibility of embracing their tensions to achieve integrated environmental strategic goals. Building on recent literature linking open innovation and EI, the study assumes open EI strategic goals as a multidimensional construct based on the “synergistic and interwoven nature” of four identified enabling factors, that is, partners, knowledge, benefits, and motivations. A fuzzy‐set qualitative comparative analysis (fsQCA) based on Boolean algebra is conducted to analyse a set of 186 European companies operating in the telecommunication and information and communication technology (ICT) service industries. Making important theoretical, managerial, and policy contributions, this paper offers insights into the key factors enabling open EI and the tensional relationships within and between them. In doing so, it captures the non‐linear effects among these factors and the strategic goals related to an open EI strategy. It also suggests how the paradox theory might help in addressing the tensional dilemma of open EI strategy.     

A Stochastic Model of Wealth Accumulation with Class Division

This paper is aimed at contributing to the literature on income and wealth inequality by proposing a simple stochastic model in which wealth accumulation depends on the ‘social relation’ between two classes: capitalists or workers. As a result, the society may evolve towards an unequal outcome with few rich and many poor individuals. We study the dynamic properties of the model by means of computer simulations. A maximum likelihood estimation procedure is applied to analyse the Pareto or power law tail of wealth distribution. We also provide a scenario analysis to explore the system's behaviour under alternative parameter settings.