Sasan MansouriCurriculum Vitæ

F.Wilhelm von Steuben Straße 90, APP IV,60488, Frankfurt a.M., Germany

H (+49) 015781284258B Sasan.Mansouri@hof.uni-frankfurt.de

Í www.sasanm.irBorn on 11th September 1991, Sabzevar, Iran

Education2014-present PhD in Economics, Goethe Universität Frankfurt am Main, Germany.

Graduate School of Economics, Finance & Management(GSEFM)Chair of Banking and Finance (Lehrstuhl für Bankbetriebslehre) - Prof. Dr. Mark Wahrenburg

2014-2017 Master of Science in Quantitative Economics, Goethe Universität Frankfurt am Main, Germany.Thesis Title: Textual Analysis of Earnings Confrence Calls; the Impact of Tone on Stock Returns

2010-2014 Bachelor in Petroleum Engineering, Sharif University of Technology, Tehran, Iran.Sharif University of Technology(SUT) is internationally reputed as the most excellent & prestigious university in Iran.

2009 High School Diploma, Mathematics, National Organization for Development of Exceptional Talents(NODET), Sabzevar, Iran.

ExperiencesTeaching Experiences - Master

2019-Present Teaching Assistant of Master Course, Managerial Economics - Game Theory, Prof. Dr. Jenny Kragl& Elena Jarocinska, PhD, EBS universität wiesbaden,Click here to access teacher evaluation report - Score 1.8 (1 = best; 5 = worst)

2017-Present,for 7

Semesters

Teaching Assistant of Master Course Mergers and Acquisitions, Prof. Dr.Mark Wahrenburg & Mr.Jan P. Weidner, Goethe University FrankfurtThis course placed as the best-ranked master course of the Faculty of Economics and Business in SoSe 2017,SoSe2019

Teaching Experiences - Bachelor2020-Present Teaching Assistant of Bachelor Course, BSC Microeconomics 1 & 2, Dr. Clemens Buchen, EBS

universität wiesbaden,Click here to access teacher evaluation report - Score 1.6 (1 = best; 5 = worst)

2013,14 -for 3Semesters

Teaching Assistant of Undergraduate Course Computer Programming Python, Dr.Sharareh Alipour,Sharif University of Technology Tehran Campus and International Campus

Teamwork Experiences2015-16 Development for SAFE Systemic Financial Risk Platform(SFRP), Macroeconomic Measures-Early

Warning Indicators, SAFE Research Center, University Frankfurt am Main.Apr-Jul 2016 Internship, Concerto Financial Solutions GmbH, Fixed-income and Hybrid indices Development Team,

Frankfurt am Main.2011 Vice-chair, 20thNational Food Conference(20th NFC), SUT, Tehran, Iran.

Computer skillsProgramming Python (with focus on Machine Learning for Natural Language Processing (using

Tensorflow and Keras), Textual Analysis, and Web Crawling),R,SQL,MATLAB(includingGUI), STATA, Html, LATEX, Microsoft Office(including VBA)

Data Works Thomson Reuters Datastream,Bloomberg Terminal

Honors and Awards2020 Best conference paper award for “Econlinguistics", Digitale Transformation - 82. Jahrestagung des VHB2015 Germany Scholarship (Deutschlandstipendium) 2015/162010 Ranked among the top 0.1 percent students in the Iranian University Entrance Exam

LanguagesPersian: Native, English: Fluent, German: Upper-intermediate(Level B2)

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Academic WorksWorking Papers (link to SSRN)Econlinguistics (joint with Andreas Barth and Fabian Woebbeking)

Abstract It is relatively easy for humans to detect that the question they asked has not been answered – we teachthis skill to a computer. More specifically, we develop a measure that detects the avoidance, dodging orrejection of answering in a Q&A setup. Using a supervised machine learning framework, on a large trainingset of 37,512 classified answers, we identify 873 trigrams that signal that the respondent tries to avoid toanswer the question he was asked. We show that this dictionary has economic relevance by applying it to avalidation set of contemporaneous stock market reaction after earnings conference calls. Our finding showsthat obstructing the flow of information leads to significantly lower cumulative abnormal stock returns. Thisresult holds in the cross-section of earnings calls as well as in the within-management team variation. Ourmetric is designed to be of general applicability for Q&A situations, and hence, can be applied outside thecontextual domain of earnings conference calls.

Corporate Culture and Banking (joint with Andreas Barth)Revise & Resubmit in the Journal of Economic Behavior & Organization

Abstract This paper empirically analyzes the role of corporate culture in banking. We define culture based on theCompeting Value Framework (Quinn and Rohrbaugh, 1983) and find that banks with a more pronouncedcompetition-oriented culture have stronger bonus-focused compensation schemes, while banks with a strongfocus on creativity show lower stock returns and higher bankruptcy risk. These findings suggest that riskmanagement practices are not merely driven by incentives from compensation schemes, but rather driven bydifferences in corporate culture.

How to talk down your stock returns (joint with Andreas Barth, Fabian Woebbeking, and SeverinZoergiebel)

Abstract We analyze two competing hypothesis of how markets interpret (lack of) factual terminology when seniormanagements’ verbally convey information in earnings calls. On the one hand, less jargon could reducecomplexity and thus increase the effectiveness of disclosing information in communicating. On the otherhand, markets could interpreted jargon-free language as the unwillingness to share factual information by‘beating around the bush,’ i.e. blathering. We find a strong positive impact of the usage of factual jargon onstock returns around an earnings call, supporting the Management Blathering Hypothesis: Firms experiencesignificantly lower cumulative abnormal returns following their earnings calls when managers blather more.This finding cannot be explained by time-constant firm characteristics or management style. Further, weinvestigate the motives behind blathering and observe that blathering is particularly pronounced when earningsmanagement is more likely, when analysts’ questions are tougher, and when last quarters’ return on equitywas poor.

Conferences & Summer schools7th Paris Financial Management Conference (PFMC-2019), December 2019 - Presentation & discussionSummer School in Machine Learning in Economics and Businuss with Prof. Dr. Johannes Binswanger - Johannes GutenbergUniversity Mainz - September 2019International Finance and Banking Society (IFABS 2018 Porto Conference), Porto, June 30 - July 2, 2018 - Presentation21st Annual Conference of the Swiss Society for Financial Market Research, Zurich, April 6, 2018 - Presentation & discussionUniversitätsübergreifendes Doktorandenseminar, Eltville, November 17-18, 2017 - Presentation

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