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Institution

HEC Paris

EducationJouy-en-Josas, France
About: HEC Paris is a education organization based out in Jouy-en-Josas, France. It is known for research contribution in the topics: Investment (macroeconomics) & Market liquidity. The organization has 584 authors who have published 2756 publications receiving 104467 citations. The organization is also known as: Ecole des Hautes Etudes Commerciales & HEC School of Management Paris.


Papers
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Journal ArticleDOI
TL;DR: This article investigated the social mechanisms underlying teenage attitudes toward luxury fashion brands in a cross-cultural context and found that both need for uniqueness and susceptibility to influence relate positively to attitudes towards luxury brands, and fashion innovativeness mediates these relations.

67 citations

Journal ArticleDOI
TL;DR: In this paper, the authors show that lower trading costs can induce investors to post limit orders with a smaller execution probability, and that gains from trade are realized less frequently and investors can be worse off.
Abstract: Competition among trading platforms has considerably reduced trading fees in stock markets. We show that this evolution is not necessarily beneficial to investors. Although they increase gains from trade when a trade happens, lower trading costs can induce investors to post limit orders with a smaller execution probability. In this case, gains from trade are realized less frequently and investors can be worse off. Our model has testable implications for the effects of trading fees and their breakdown between liquidity suppliers and liquidity demanders on limit order fill rates and bid-ask spreads.

67 citations

Journal ArticleDOI
TL;DR: This paper explores systematically the contrasting effects of these strategic determinants on rent-generation and rent-appropriation using the entire population of French biotech firms (1994-2002), indicating that science and money do not go unconditionally together.
Abstract: Developing technological applications, entering exploitation alliances, and choosing between research- or service-focused strategic orientations are decisions that high-tech firms must manage concurrently. This article explores systematically the contrasting effects of these strategic determinants on rent generation and rent appropriation using the entire population of French biotech firms (1994‐2002). Findings indicate that science and money do not unconditionally go together‐the direct relationship between rent-accruing resources (e.g., patents or articles) and rent appropriation varies depending on the type of resources and the strategic orientation. Moreover, the effects of strategic determinants differ for rent generation vs. rent appropriation: 1) technological application diversity undermines a firm’s capacity to appropriate rents‐in particular for research-oriented firms; 2) exploitation alliances favor rent generation but hinder rent appropriation; 3) service-oriented firms exhibit significantly better performance than research-oriented firms. Such evidence challenges the emergence in the biotechnology industry of a ‘one-best’ strategic trajectory, as represented by research-intensive start-ups funded by private money engaged in publishing and patenting races. Copyright  2008 John Wiley & Sons, Ltd.

67 citations

Journal ArticleDOI
TL;DR: This paper developed a model in which the speed of reaction to trading opportunities is endogenous, where traders face a trade-off between the benefit of being first to seize a profit opportunity and the cost of attention required to be first to seizing this opportunity.
Abstract: We develop a model in which the speed of reaction to trading opportunities is endogenous. Traders face a trade-off between the benefit of being first to seize a profit opportunity and the cost of attention required to be first to seize this opportunity. The model provides an explanation for maker/taker pricing, and has implications for the effects of algorithmic trading on liquidity, volume, and welfare. Liquidity suppliers' and liquidity demanders' trading intensities reinforce each other, highlighting a new form of liquidity externalities. Data on durations between trades and quotes could be used to identify these externalities.

67 citations

Journal ArticleDOI
TL;DR: A new framework for sequential multiblock component methods is presented that relies on a new version of regularized generalized canonical correlation analysis (RGCCA) where various scheme functions and shrinkage constants are considered.
Abstract: A new framework for sequential multiblock component methods is presented This framework relies on a new version of regularized generalized canonical correlation analysis (RGCCA) where various scheme functions and shrinkage constants are considered Two types of between block connections are considered: blocks are either fully connected or connected to the superblock (concatenation of all blocks) The proposed iterative algorithm is monotone convergent and guarantees obtaining at convergence a stationary point of RGCCA In some cases, the solution of RGCCA is the first eigenvalue/eigenvector of a certain matrix For the scheme functions x, [Formula: see text], [Formula: see text] or [Formula: see text] and shrinkage constants 0 or 1, many multiblock component methods are recovered

67 citations


Authors

Showing all 605 results

NameH-indexPapersCitations
Sandor Czellar133126391049
Jean-Yves Reginster110119558146
Pierre Hansen7857532505
Gilles Laurent7726427052
Olivier Bruyère7257924788
David Dubois5016912396
Rodolphe Durand4917310075
Itzhak Gilboa4925913352
Yves Dallery471706373
Duc Khuong Nguyen472358639
Eric Jondeau451557088
Jean-Noël Kapferer4515112264
David Thesmar411617242
Bruno Biais411448936
Barbara B. Stern40896001
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202233
2021129
2020141
2019110
2018136