Seventh Annual Mergers & Acquisitions Research Centre Conference

Conference date

19 Jun 2023

Location

London, UK

Description

ABOUT THE EVENT: Following the success of the sixth conference in 2022, we are pleased to announce that the Seventh Mergers and Acquisitions Research Centre (MARC) Conference will be held at Bayes Business School, City, University of London on Monday 19 June 2023, in continued cooperation with the European Corporate Governance Institute (ECGI).

The conference organisers invite authors to submit original, theoretical and empirical papers covering issues related to mergers and acquisitions (M&A), including topics such as deal structure from financing to integration, activism, regulatory changes, domestic and cross border transactions and corporate social responsibility among others.

SUBMISSION INSTRUCTIONS: The submission deadline is 16 January 2023 at 10pm GMT (United Kingdom time). There is no submission fee. To be eligible for submission, the paper must still be at a revisable stage (i.e. neither forthcoming nor close to being accepted at a journal) by the date of the conference.

Please email a pdf version of your paper to BayesMARC@city.ac.uk. The file name must be: [presenting author’s last name]_[shortened paper title] (for example, Smith_Deal integration.pdf). Please include “MARC2023” in the subject of your email.

We expect to notify authors about acceptances by 29 March 2023.

PRACTICALITIES: Sessions will take place between 8:30am and 5:30pm on Monday 19 June 2023 with a keynote speech during lunch and reception following the conference. The conference will be held in-person at Bayes Business School, and all presenters and discussants are expected to attend in-person.

The conference dinner for presenters, discussants, and program committee members will be held immediately after the event on the same day.

TRAVEL AND ACCOMMODATION: The conference organisers offer complimentary hotel accommodation near the conference venue for two nights 18-19 June 2023 for presenters, discussants, and program committee members.

Queries should be directed to: BayesMARC@city.ac.uk