Measuring the Systematic Risk of IPO's Using Empirical Bayes Estimates in the Thinly Traded Istanbul Stock Exchange
Yaz Gulnur Muradoglu
Queen Mary University of London; City University London - Sir John Cass Business School
Pakistan Institute of Development Economics
Fatih University - Department of Economics
International Journal of Business, Vol. 8, No. 3, 2003
Cass Business School Research Paper
CUBS Finance Working Paper No. 07
The systematic risk of IPO's in the thinly traded Istanbul Stock Exchange (ISE) are estimated using Empirical Bayes Estimators (EBE). The sectors that the firms belong to, provide the priors. Comparisons are made with OLS estimators across different estimation and forecasting periods. Two benchmark criteria are used; sum of squared residuals and sum of absolute residuals. The application requires some complicated manipulation of the theory where some inferiors of the ordinary Bayesian approach are avoided. Results show that using the EBE procedure, betas can be calculated with greater precision than OLS. This enables us to evaluate IPO's on similar intuition with other stocks, i.e. in a portfolio context rather than in isolation.
Number of Pages in PDF File: 20
Keywords: Empirical Bayes method, Beta estimation, Forecasting, Capital Asset Pricing Model, Initial public offering
JEL Classification: C2, C11, C52, G1, G12Accepted Paper Series
Date posted: August 19, 2003
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