STEPHEN CICCONE, Ph.D. Assistant Professor of Finance Interests: Investments and int'l. corporate governance

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STEPHEN CICCONE
Assistant Professor of Finance

Stephen is currently an Assistant Professor of Finance at the University of New Hampshire’s Whittemore School of Business and Economics.  He has taught courses in financial management, investments, and derivative securities.  His current research interests include stock return anomalies, international corporate governance, and analyst forecast issues.

Stephen obtained his Ph.D. in finance from Florida State University in 2000.  He studied accounting at the University of Florida where he received a Bachelor’s and Master’s degree in 1994.  He is also a Certified Public Accountant.  Prior to entering academia, he worked for Arthur Andersen, LLP as an auditor.
 
 

PUBLICATIONS:

Ciccone, Stephen J. and Ahmad Etebari. 2003. “Analyst Earnings Forecast Trends in Pacific Rim Countries.” Managerial Finance, forthcoming.

Ciccone, Stephen J. 2003. “Does Analyst Optimism about Future Earnings Distort Stock Prices?” Journal of Behavioral Finance, forthcoming.

Ciccone, Stephen J. 2003. “Forecast Dispersion and Error Versus Size, Book-to-Market Ratio, and Momentum: A Comparison of Anomalies from 1992 to 2001.” Journal of Asset Management, vol. 3, no. 4 (March): 333-344.

Ciccone, Stephen J. 2002. “GAAP Versus Street Earnings: Making Earnings Look Higher and Smoother.” Accounting Enquiries, vol. 11, no. 2 (Spring/Summer): 155-186.

Benesh, Gary A. and Stephen J. Ciccone. 2000. “Trading Commissions, Portfolio Turnover Rates, and Wealth Accumulation.” Journal of Research in Finance, vol. 3, nos. 1 and 2 (Summer/Winter): 152-171.
 

WORKING PAPERS:

“Analyst forecasts and stock returns” (with James S. Ang)
“International differences in analyst forecast properties” (with James S. Ang)
“Analyst forecast properties, financial distress, and business risk”
“Dividend policy and signaling theory? Evidence against signaling using analyst forecast properties”
 “Trends in analyst earnings forecast properties”
“The tech industry or the regulated industry: Which one has the true glamour stocks?”