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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 paper study the extent to which investor sentiment matters for aggregate equity issuance activity and conclude that investor sentiment does not seem to matter very much for aggregate equities issuance activity, while sentiment on its own matters relatively little once they control for accurately measured fundamentals.
Abstract: We study the extent to which investor sentiment matters for aggregate equity issuance activity. We focus on firms that are susceptible to investor sentiment and for which accurate measures of economic fundamentals are available. While sentiment on its own matters for equity issuance, it matters relatively little once we control for accurately measured fundamentals. Collectively, proxies for sentiment explain roughly 10 percentage points of the time-series variation of equity issuance beyond the roughly 40 percent explained by fundamentals. We conclude that investor sentiment does not seem to matter very much for aggregate equity issuance activity.

23 citations

Journal ArticleDOI
TL;DR: The growing relevance of improvisation for successful organizing calls for a better understanding of how individuals develop improvisation skills as mentioned in this paper, while research has investigated the role of traini cation skills.
Abstract: The growing relevance of improvisation for successful organizing calls for a better understanding of how individuals develop improvisation skills. While research has investigated the role of traini...

23 citations

Posted Content
TL;DR: In this paper, the authors established a correlation between the hierarchical structure of a firm and the likelihood of business creation among its former employees, using a sample of 16 million observations of Swedish workers and a novel proxy for hierarchies based on occupation data.
Abstract: We establish a correlation between the hierarchical structure of a firm and the likelihood of business creation among its former employees, using a sample of 16 million observations of Swedish workers and a novel proxy for hierarchies based on occupation data. Conditional on firm size and many other variables, employees in firms with more layers are less likely to enter entrepreneurship, to become self-employed, and to switch to another employer. The effects of layers are much stronger for business creation than for job-switching and they are stronger for entrepreneurship than for self-employment. We discuss two potential explanations for the distinctive hierarchy effect we find. Part of the effect could be to be due to preference sorting by employees, and part due to employees in firms with fewer layers having a broader range of skills. One test showing that the probability of entrepreneurship increases with their prior rank in an organization is consistent with ability sorting and inconsistent with preference sorting.

23 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated theoretically and empirically the dynamics of the implied volatility around earnings announcements dates and proposed a theoretical framework for the evolution of the ISD that takes into account two well-known features of the instantaneous volatility: volatility clustering and the leverage effect.
Abstract: This paper investigates theoretically and empirically the dynamics of the implied volatility (or implied standard deviation - ISD) around earnings announcements dates. The volatility implied by option prices can be interpreted as the level of volatility expected by the market over the remaining life of the option. We propose a theoretical framework for the evolution of the ISD that takes into account two well-known features of the instantaneous volatility: volatility clustering and the leverage effect. In this context, the ISD should decrease after an earnings announcement but the post-announcement ISD path depends on the content of the earnings announcement: good news or bad news. An empirical investigation is conducted on the Swiss market over the period 1989-1998.

23 citations

Journal ArticleDOI
TL;DR: In this article, the effects of forward guidance when agents have heterogeneous interpretations of whether forward guidance contains a commitment on future policy actions are analyzed, and it is shown that heterogeneity of beliefs can strongly mitigate the effectiveness of forward-guidance.
Abstract: We analyze the effects of forward guidance when agents have heterogeneous interpretations of whether forward guidance contains a commitment on future policy actions. Using survey expectations, we document that forward guidance lowered disagreement about future short-term interest rates to historically low levels while it did not affect much disagreement about future inflation and future consumption. We introduce heterogenous beliefs on future policy and fundamentals in an otherwise standard New-Keynesian model. We show that, because the commitment type of the central bank is unobserved, agreement on the future path of interest rates can coexist with disagreement on the length of the trap. Such heterogeneity of beliefs can strongly mitigate the effectiveness of forward guidance. It also alters the optimal policy at the zero lower bound compared to a situation where beliefs are homogenous.

23 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