IIMB hosts 4th Journal of Accounting, Auditing, and Finance (JAAF) Symposium, from January 11–13, 2020
13 January 2020, Bengaluru: The Indian Institute of Management Bangalore (IIMB) welcomed participants to the 4th JAAF Symposium, organised in association with the Journal of Accounting, Auditing, and Finance (JAAF), IIM Ahmedabad (IIMA), IIM Calcutta (IIMC), and the Indian School of Business (ISB), and the Centre for Monitoring Indian Economy (CMIE), from January 11–13, 2020.
The conference was spread over three days and featured keynote talks and paper presentations aimed at helping young researchers in India and other emerging countries attain exposure to accounting, finance, economics, and related research.
Prof. Bharat Sarath, Editor-in-Chief, Journal of Accounting, Auditing, and Finance (JAAF), and Faculty in the Dept. of Accounting & Information Systems at Rutgers Business School, USA, delivered the keynote lecture on ‘Accounting Theory and JAAF’. He touched upon subjects like Principal Market Frictions and Impact/Value of Accounting while sharing findings and information about questions such as why Financial Reporting rules are complicated and what Asset Value should be reported on the balance sheet.
Ajay Bahl, Founder and Managing Partner at AZB & Partners, P.R. Ramesh, Chairman of Deloitte India, Raghuvir Srinivasan, Business Editor at The Hindu, and Prof. Shyam Sunder, Department of Economics at Yale University, shared their perspectives on ‘Corporate Fraud – Legal Environment and Audit Expectations Gap’ during a panel discussion moderated by Prof. R Narayanaswamy, from the area of Finance & Accounting at IIMB.
Highlighting the responsibilitiese of faculty in B-schools, Prof. Shyam Sunder said: “We must design a curriculum that incorporates discussions with students around subjects like liberal arts, history, philosophy, ethics, morality and introspection of life. We should pursue broader goals that we expect professional auditors, lawyers, and journalists to follow.”
Prof. Pulak Ghosh, from the Decision Sciences area at IIMB, who spoke on ‘Big Data and Machine Learning for Empirical Research’, said: “Artificial Intelligence is an output mimicking human behaviour based on certain input with some intelligent thinking.” He spoke of Statistical Learning, Bias and Variance Trade-off, Prediction Policy Problem, Shrinkage Estimators, Elastic Net, and Bootstrap-based methods in Machine Learning.
Scholars at the symposium presented their published/ongoing research studies followed by interaction with fellow participants and panellists.
Click here photo gallery from Day 1 of the symposium
Click here photo gallery from Day 2 of the symposium
Click here photo gallery from Day 2 of the symposium