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.     

A multivariate distance nonlinear causality test based on partial distance correlation: a machine learning application to energy futures

This paper proposes a multivariate distance nonlinear causality test (MDNC) using the partial distance correlation in a time series framework. Partial distance correlation as an extension of the Brownian distance correlation calculates the distance correlation between random vectors X and Y controlling for a random vector Z. Our test can detect nonlinear lagged relationships between time series, and when integrated with machine learning methods it can improve the forecasting power. We apply our method as a feature selection procedure and combine it with the support vector machine and random forests algorithms to study the forecast of the main energy financial time series (oil, coal, and natural gas futures). It shows substantial improvement in forecasting the fuel energy time series in comparison to the classical Granger causality method in time series.     

Easing the assessment of emerging technologies in technology observatories. Findings about patterns of dissemination of emerging technologies on the internet

This paper considers the Web as a big data container that can be used by Technology Observatories and administrations to track emerging issues and more specifically emerging technologies. It considers information that is available on the Internet for free from different sources, and proposes a framework that can be useful to characterise them and to detect patterns of dissemination. This framework is made up of 30 metrics obtained from different kinds of sources (general web, patents, scholars?…). Some of them are obtained directly as the number of hits retrieved by queries on a search engine, and other ones calculated by means of ratios. This paper contains the development of a complete case that utilises this framework to characterise emerging technologies included in the well-known Hype Cycle for Emerging Technologies, in this case the 2015 release¹ and to analyze patterns of dissemination of these technologies on the Internet.     

External cooperation and entrepreneurial orientation in industrial clusters

ABSTRACT

The aim of this paper is to examine the relationship between external cooperation and entrepreneurial orientation (EO). This relationship is explored in cluster environment, wherein entrepreneurial organizations compete and cooperate simultaneously to pursue opportunities. The following hypothesis is tested: External cooperation is positively correlated with entrepreneurial orientation. The hypothesis is tested with a correlation analysis on a sample of 77 small-sized enterprises operating in the Malopolska region in Poland, wherein several clusters are active. Additionally, the regression analysis is conducted to examine the associations between inter-organizational cooperation and EO dimensions. The findings confirm that external cooperation is positively correlated with EO. This observation is confronted with a pro-competitive approach that is a constitutional element of the entrepreneurship concept. Moreover, the findings show that the correlation between external cooperation and a firm’s performance is stronger than between some other EO dimensions and performance. Additionally, the findings show the important role of relationships between organizations and their clients. In the paper, several remarks for development of the theory are discussed, including the need for incorporating inter-organizational cooperation into a set of entrepreneurial traits and reflecting it in entrepreneurial orientation scales. The findings confirm the importance of that direction of theory development that focuses on inter-organizational collaboration in the context of entrepreneurship.     

Money,Prices and the Silver Industry during the Price Revolution

The discovery of American silver has been commonly viewed in the literature as the moving force behind the sustained rise of prices experienced by Western Europe from the early 16th to the mid-17th century. However, the mechanical connection between the money supply and the general price level implied by the Quantity Theory oversimplifies the analysis of a period characterized by different trends, some of which cannot be easily explained by the monetarist story: (i) Central Europe silver mining boomed between 1451 and 1540 following a phase of scarcity of money that was especially severe between the end of the 14th century and the beginning of the 15th century; (ii) European prices started to rise before American silver was significantly imported to the Continent; (iii) the rapid expansion of American mining coincided with the decline of the European silver industry (1540–1618); and finally (iv) Mexican and Peruvian bullion production evidenced a downward course during the period 1628–1697, but no alteration in the rising trend of European prices occurred in response. It is argued instead that the classical theory of value and distribution, emphasizing costs of production as determinants of the ‘natural’ value of commodities including precious metals, can accommodate the facts in a more consistent manner than the monetarist view.     

The relationship between high performance work systems and employee proactive behaviour: role breadth self‐efficacy and flexible role orientation as mediating mechanisms

Drawing on the contextual perspective, this study provides novel empirical evidence on how the organisational context (specifically, the firm's human resource strategy) has an effect on employee proactivity. We use matched data from managers and employees in 102 Spanish professional service firms to examine how high performance work systems contribute to enhance employee proactive behaviours through two motivational variables: role breadth self‐efficacy and flexible role orientation. Results of a multilevel study demonstrate that role breadth self‐efficacy mediates between HPWS and employee proactivity, but flexible role orientation does not mediate this relationship.     

Do analysts add value when they most can? Evidence from corporate spin‐offs

This article investigates how securities analysts help investors understand the value of diversification. By studying the research that analysts produce about companies that have announced corporate spin‐offs, we gain unique insights into how analysts portray diversified firms to the investment community. We find that while analysts' research about these companies is associated with improved forecast accuracy, the value of their research about the spun‐off subsidiaries is more limited. For both diversified firms and their spun‐off subsidiaries, analysts' research is more valuable when information asymmetry between the management of these entities and investors is higher. These findings contribute to the corporate strategy literature by shedding light on the roots of the diversification discount and by showing how analysts' research enables investors to overcome asymmetric information. Copyright © 2013 John Wiley & Sons, Ltd.     

International automotive production networks: how the web comes together

This paper aims to provide empirical evidence for the connections between new trade theory and the spatial distribution of economic activities, considering the results obtained by the literature on New Economic Geography as a starting point. To do this, we apply Social Network Analysis specifically to the World Automotive Trade Network. We explore the structural features of the auto network for the years 1996 and 2009 using data on trade flows for 172 countries. Our findings suggest that the auto network has become denser, more extensive and more integrated over time, depicting a center-periphery structure in which regional clusters play a prominent role. In this configuration, strong agglomeration forces generated by companies’ desire for large and rich market access with minimum transportation costs are balanced by the search for new high-potential markets.     

After over 25 years of accrediting beaches,has Blue Flag contributed to sustainable management?

This paper examines the qualitative, quantitative, and geographical evolution (1987–2012) of the Blue Flag campaign and accreditation process in Spain, a leading coastal tourism destination heading the list of awards. The standard Blue Flag criteria for crowded, developed beaches are now adapting to new demands for natural beaches, but they still fail to capture essential sustainable tourism features, such as limiting user numbers, or preserving and restoring sand ecosystems. Given these shortcomings, some destinations are moving to alternative awards with a higher environmental commitment, such as EMS, ISO14001, and Eco-Management and Audit Schemes (EMAS). A cluster analysis of Blue Flag data for 983 beaches in Spain over 26 years revealed different behaviour patterns: established tourist areas that have always opted for the Blue Flag programme; tourist areas that adopted the Blue Flag early on but replaced it with ISO14001 and EMAS; recently developed destinations applying for the award to boost their tourism promotion; and tourist areas with no well-defined policy that have opted intermittently for Blue Flag. These profiles illustrate the different policies of Spain's Autonomous Regions, and they are useful for tourism managers to verify whether their destination's behaviour pattern contributes to sustainable tourism and matches strategic policies they have designed for them.     

Pesticide‐handling practices: the case of coffee growers in Papua New Guinea

Pesticide mismanagement potentially has high risks for farmers, households living in the community and the environment. In Papua New Guinea where farming is the primary occupation, there is evidence of dangerous herbicide application methods being used by coffee growers. Using original survey data for coffee smallholders from four provinces, we assess the factors driving farmers' use of personal protective equipment when preparing and applying herbicides, and farmers' disposal of agro‐chemical containers. We control for households' demographic variables and measure the impact of farmers' training in pest and disease management. We use the special regressor method to estimate binary choice models featuring an endogenous binary regressor (training). Our results show that human capital (education) and training are important drivers of farmers' pesticide‐handling practices, with marginal effects estimated at 10 and 22 per cent, respectively.