Theodoros Evgeniou

INSEAD

Boulevard de Constance

77305 Fontainebleau Cedex

France

SCHOLARLY PAPERS

22

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3,397

SSRN CITATIONS
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Top 26,603

in Total Papers Citations

15

CROSSREF CITATIONS

20

Scholarly Papers (22)

1.

Implementing Ai Principles: Frameworks, Processes, and Tools

INSEAD Working Paper No. 2021/04/DSC/TOM
Number of pages: 32 Posted: 12 Feb 2021 Last Revised: 01 Mar 2021
Pal Boza and Theodoros Evgeniou
INSEAD and INSEAD
Downloads 585 (59,771)

Abstract:

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2.

Volatility and the Buyback Anomaly

INSEAD Working Paper No. 2017/16/DSC/FIN
Number of pages: 50 Posted: 27 Mar 2016 Last Revised: 15 Feb 2017
INSEAD, Independent, Check Company and INSEAD - Finance
Downloads 505 (71,577)
Citation 4

Abstract:

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Share Buybacks, Seasoned Equity Offerings, Anomalies

3.

Share Buybacks and Abnormal Returns

INSEAD Working Paper No. 2015/70/DSC
Number of pages: 43 Posted: 23 Sep 2015
Arne Uekoetter and Theodoros Evgeniou
INSEAD and INSEAD
Downloads 474 (77,347)

Abstract:

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Abnormal Returns, Market Timing, Share Buybacks, Hedge Funds, Market Efficiency, Share Repurchase

4.

Share Buybacks and Gender Diversity

INSEAD Working Paper No. 2017/43/DSC/FIN, European Corporate Governance Institute (ECGI) - Finance Working Paper No. 493/2017
Number of pages: 33 Posted: 25 Jul 2016 Last Revised: 28 Jun 2017
Theodoros Evgeniou and Theo Vermaelen
INSEAD and INSEAD - Finance
Downloads 242 (161,477)

Abstract:

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Gender Diversity, Share Buybacks, Market Timing, Ethics

5.

Pandemic Lock-down, Isolation, and Exit Policies Based on Machine Learning Predictions

INSEAD Working Paper No. 2020/22/DSC
Number of pages: 35 Posted: 12 May 2020 Last Revised: 16 Jan 2021
INSEAD, University of Paris-Saclay, Smith School of Business - Queen's University, Université Côte d'Azur - INSERM, MAP5, FP2M, CNRS FR 2036, Université de Paris and ENS Paris-Saclay
Downloads 235 (166,133)

Abstract:

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COVID-19, Pandemics, Outbreaks, Epidemic Models, Machine Learning, Data Science, Prediction Models

6.

Uncovering sparsity and heterogeneity in firm-level return predictability using machine learning

INSEAD Working Paper No. 2020/24/DSC
Number of pages: 60 Posted: 25 May 2020 Last Revised: 13 Sep 2021
Theodoros Evgeniou, Ahmed Guecioueur and Rodolfo Prieto
INSEAD, INSEAD and INSEAD
Downloads 231 (168,844)

Abstract:

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Characteristics, Sparsity, Heterogeneity, Industries, Lasso, Clustering, Return Prediction, Big Data

7.

Network Centrality and Managerial Market Timing Ability: Evidence from Open-Market Repurchase Announcements

INSEAD Working Paper No. 2018/29/DSC/FIN
Number of pages: 76 Posted: 01 Jul 2016 Last Revised: 31 Jul 2018
Theodoros Evgeniou, Joel Peress, Theo Vermaelen and Ling Yue
INSEAD, INSEAD - Finance, INSEAD - Finance and INSEAD
Downloads 206 (188,115)

Abstract:

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Share Repurchases, Buybacks, Market Anomalies, Networks, Supply Chain, Limited Attention, Firm Complexity

8.

M&A Portfolios and Market Returns

INSEAD Working Paper No. 2014/69/DSC
Number of pages: 49 Posted: 08 Jan 2015
Theodoros Evgeniou
INSEAD
Downloads 170 (222,983)

Abstract:

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Arbitrage, Hedge Funds, Market Efficiency, Market Sentiment, Mergers and Acquisitions

Content Contributor Management and Network Effects in a UGC Environment

INSEAD Working Paper No. 2011/11/DS/MKT
Number of pages: 46 Posted: 25 Jan 2011
Kaifu Zhang, Theodoros Evgeniou, Paddy Padmanabhan and Emile Richard
INSEAD, INSEAD, INSEAD and Ecole Normale Superieure de Cachan (ENS)
Downloads 158 (237,704)
Citation 5

Abstract:

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UGC, Content Contributors, VAR, Lifetime Value, Acquisition, Retention, C2C Marketplace, Network Effects

Content Contributor Management and Network Effects in a UGC Environment

Marketing Science, Vol. 31, No. 3, 2012; pp. 433-447; DOI: 10.1287/mksc.1110.0639
Posted: 24 Oct 2012
Kaifu Zhang, Theodoros Evgeniou and Paddy Padmanabhan
INSEAD, INSEAD and INSEAD

Abstract:

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UGC, content contributors, VAR, lifetime value, acquisition, retention, C2C marketplace, network effects

10.

Uncertainty, Skill, and Analysts' Dynamic Forecasting Behavior

INSEAD Working Paper No. 2010/50/DS/FIN
Number of pages: 36 Posted: 09 Jul 2010
INSEAD, INSEAD - Finance, Universitat Pompeu Fabra - Faculty of Economic and Business Sciences and INSEAD - Decision Sciences
Downloads 143 (257,368)
Citation 1

Abstract:

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Risk Taking, Skill, Chance, Uncertainty, Financial Analysts, Earning Forecasts

11.

Estimation of Risk and Time Preferences: Response Error, Heterogeneity, Adaptive Questionnaires, and Experimental Evidence from Mortgagers

INSEAD Working Paper No. 2010/52/DS/TOM
Number of pages: 35 Posted: 09 Aug 2010
Columbia Business School - Marketing, Columbia Business School - Marketing, INSEAD and George Washington University - School of Business
Downloads 98 (337,554)
Citation 1

Abstract:

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Prospect Theory, Time Discounting, Bayesian Statistics, Adaptive Experimental Design, Revealed Preference

12.

Using Past Responders to Target Non-Responders

INSEAD Working Paper No. 2017/61/DSC
Number of pages: 47 Posted: 20 Sep 2017
INSEAD, Massachusetts Institute of Technology (MIT) - Sloan School of Management, Kellogg School of Management, Northwestern University and INSEAD - Decision Sciences
Downloads 97 (339,832)

Abstract:

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13.

How Should Artificial Intelligence Explain Itself? Understanding Preferences for Explanations Generated by XAI Algorithms

Number of pages: 36 Posted: 08 Jul 2021
University of Antwerp, University of Antwerp, University of Antwerp, INSEAD and Columbia Business School - Marketing
Downloads 75 (396,947)

Abstract:

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Algorithmic Decision Making; Explainable Artificial Intelligence; Algorithmic Explainability; Choice-Based Conjoint Analysis

14.

Convex Multi-Task Feature Learning

INSEAD Business School Research Paper No. 2007/13/TOM/DS
Number of pages: 42 Posted: 19 Nov 2007
Andreas Argyriou, Theodoros Evgeniou and Massimo Pontil
University College London, INSEAD and University College London
Downloads 68 (418,773)
Citation 134

Abstract:

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Multi-Task Learning, Kernels, Regularization, Vector-Valued Functions

15.

Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters

Management Science, Articles in Advance, pp. 1-28, 2012
Number of pages: 28 Posted: 13 Jul 2013
Columbia Business School - Marketing, Columbia Business School - Marketing, INSEAD and George Washington University - School of Business
Downloads 57 (457,348)
Citation 6

Abstract:

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prospect theory, time discounting, Bayesian statistics, adaptive experimental design, revealed preference

16.

Competitive Dynamics in Forecasting: The Interaction of Skill and Uncertainty

Journal of Behavioral Decision Making 26 (4), 375-384, 2013
Number of pages: 34 Posted: 05 Oct 2014
INSEAD, INSEAD - Finance, Universitat Pompeu Fabra - Faculty of Economic and Business Sciences and INSEAD - Decision Sciences
Downloads 52 (476,533)

Abstract:

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Risk taking, skill, chance, uncertainty, contests, financial analysts, earnings forecasts

17.

Network Centrality and Managerial Market Timing Ability

Number of pages: 95 Posted: 12 Sep 2020
Theodoros Evgeniou, Joel Peress, Theo Vermaelen and Ling YUE
INSEAD, INSEAD - Finance, INSEAD - Finance and affiliation not provided to SSRN
Downloads 1 (800,643)
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Abstract:

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Buybacks, insider trading, Market Efficiency, market timing, Network centrality

18.

When Machine Learning Goes Off the Rails

HARV. BUS. REV. (2021). https://hbr.org/2021/01/when-machine-learning-goes-off-the-rails. , Harvard Public Law Working Paper No. 21-32
Posted: 08 Jul 2021 Last Revised: 28 Oct 2021
Boris Babic, I. Glenn Cohen, Theodoros Evgeniou and Sara Gerke
Independent, Harvard Law School, INSEAD and Pennsylvania State University, Dickinson Law

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Artificial Intelligence, Risk, Liability

19.

Direct-to-Consumer Medical Machine Learning and Artificial Intelligence Applications

Nat Mach Intell 3, 283–287 (2021). https://doi.org/10.1038/s42256-021-00331-0
Posted: 08 Jul 2021
Boris Babic, Sara Gerke, Theodoros Evgeniou and I. Glenn Cohen
Independent, Pennsylvania State University, Dickinson Law, INSEAD and Harvard Law School

Abstract:

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Artificial Intelligence, Machine Learning, Direct-to-Consumer, Apps

20.

Algorithms on Regulatory Lockdown in Medicine

Science. 2019 Dec 6;366(6470):1202-1204. doi: 10.1126/science.aay9547
Posted: 25 May 2021
Boris Babic, Sara Gerke, Theodoros Evgeniou and I. Glenn Cohen
Independent, Pennsylvania State University, Dickinson Law, INSEAD and Harvard Law School

Abstract:

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artificial intelligence, FDA law, adaptive algorithms, risks

21.

The Need for a System View to Regulate Artificial Intelligence/Machine Learning-Based Software as Medical Device

NPJ Digit Med. 2020 Apr 7;3:53. doi: 10.1038/s41746-020-0262-2
Posted: 24 May 2021
Sara Gerke, Boris Babic, Theodoros Evgeniou and I. Glenn Cohen
Pennsylvania State University, Dickinson Law, Independent, INSEAD and Harvard Law School

Abstract:

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Artificial Intelligence, Machine Learning, FDA law, Software as a Medical Device, System View

22.

The European Artificial Intelligence Strategy: Implications and Challenges for Digital Health

2 THE LANCET DIGITAL HEALTH E376 (2020). https://doi.org/10.1016/S2589-7500(20)30112-6
Posted: 14 Aug 2020 Last Revised: 07 Jul 2021
I. Glenn Cohen, Theodoros Evgeniou, Sara Gerke and Timo Minssen
Harvard Law School, INSEAD, Pennsylvania State University, Dickinson Law and University of Copenhagen - Centre for Advanced Studies in Biomedical Innovation Law (CeBIL) - Faculty of Law

Abstract:

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Artificial Intelligence, European Commission, White Paper