Accounting and Management Science Seminars Fall 2010

This is a joint seminar series between Department of Accounting, Auditing and Law (RRR) and Department of Finance and Management Science (FOR). 

Seminar responsibles RRR: Frøystein Gjesdal and Gorm Grønnevet

Seminar responsibles FOR: Gunnar Eskeland and Bård Støve 

Any downloading problems should be reported to Stein Fossen.

Previous seminars 

Time and place

Lecturer

Title

Wednesday 08.09, 12.15-13.30, Karl Borch's Aud.

Dr. Peter Thejll, Danish Meteorological Institute

Statistics in Climate Research: What are the main problems?
- Abstract

Wednesday 08.09, 12.15-13.30, Meeting room, 9th floor

Dr. Kim Ittonen, University of Vaasa

Characteristics of Individual Audit Partners and their Client Portfolios: Effects on Discretionary Accruals and Audit Fees

Friday 24.09, 10.15-11.30, Meeting room, 9th floor

Niels Sandalgard, University of Aalborg

 

Wednesday 06.10, 12.15-13.30, Meeting room, 9th floor

Prof. Debashis Pal, University of Cincinnati

 

Friday 08.10, 13.30-14.30, Karl Borch's Aud.

PhD Student Cristina Campanale, Scuola Superiore Sant’Anna, Pisa

 

Wednesday 27.10, 12.15-13.30, Karl Borch's Aud.

Prof. Karine Nyborg, University of Oslo

Corporate social responsibility as labor market screening: Theory and evidence
- Paper 1, paper 2, paper 3

Wednesday 10.11, 12.15-13.30, Meeting room, 9th floor

Prof. Ann Vanstraelen, Maastricht University

Audit Firm Governance: Do Transparency Reports Reveal Audit Quality?

Wednesday 17.11, 12.15-13.30, Meeting room, 9th floor

Dr. Tobias Svanström, Norwegian School of Management (BI) / Umeå School of Business

Auditor-In-Charge Characteristics and Going Concern Reporting Behavior: Does number of assignments, age and client fee dependence matter?

Monday 29.11, 12.15-13.30, Meeting room, 9th floor

Prof. Ilia Dichev, Emory University
- Vita

The Dark Side of Trading

Wednesday 08.12, 12.15-13.30, Karl Borch's Aud.

Dr. Sjur Westgaard, Norwegian University of Science and Technology (NTNU)

Covariance estimation using high-frequency data: Analysis of Nord Pool electricity forward data