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Maria Chiara Iannino

 

CV

Research

Teaching

 

Queen Mary University of London

School of Economics and Finance

Mile End road, E1 4NS London

Email: m.c.iannino@qmul.ac.uk

 

 

 

Research

Research interests

Empirical Finance, Behavioural finance, Herding, Financial Econometrics.

 

Most recent papers

Stock splits and Herding (Job Market Paper)

The relation between institutional herding and stock splits is being examined. Using data on buying and selling activity of US institutional investors, from 1994 to 2005, I compared the abnormal correlation of trades in a sample of companies that have announced at least a stock split, with the rest of the market. The results show a significant level of convergence in both groups, slightly higher for splitting companies between 1998 and 2001, and a stabilizing effect of herding in the future returns of splitting companies. Decomposing the correlation of trades into the contributions of several types of herding, there is evidence of a significant impact of informational-based herding for companies under analysis.

 

 

Stock splits and Dispersion of beliefs

This paper investigates the relation between the dispersion of beliefs among investors and the future performance of splitting companies. In a sample of US splits, occurred between 1993 and 2004, evidence shows that the distribution of analysts' forecasts changes in mean and dispersion around the announcement of the event. Moreover, the differences of opinion among analysts have an impact on the future performance of the splitting firms and on the motivations behind the event.

 

 

 

 

Teaching

Current teaching

Course organizer:

  • Economics of Innovation ECN344, UG

  • Development Economics ECN370, UG

  • Health Economics ECN369, UG

Teaching Assistant:

  • Empirical Finance,  MSc

  • Financial Statement Analysis, MSc

  • Risk Management for Banks, MSc

 

Previous years teaching

Teaching Assistant:

·   Finance area: Investment Analysis, Financial Markets and Institutions, Financial Statement Analysis, Financial institutions (Università degli Studi di Brescia)

·   Econometrics and Quantitative Methods area: Introductory Econometrics, Statistical Methods for Economics, Applied Econometrics (City University London), Quantitative Research Methods (QM, School of Business and Management)

·   Economics area: Economics of Social Issues, Macroeconomics I