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Of course, there are some clear limits of the proposed analysis. Among them:<br />

• The limited number of issuers / financial ratios considered;<br />

• The heterogeneous structure of the data sample;<br />

• The short data span;<br />

• The possible disturbances induced by the nonlinear interactions among the<br />

explanatory variables etc.<br />

Further research directions should minimally: 1) considering an underlying<br />

mechanism for the potential impact in the changes in financial status and policies<br />

dividends at issuers level for both the market values and business turnovers; 2)<br />

integrating a larger set of explanatory variables especially from the descriptors of<br />

financial equilibrium and performances; 3) providing more conceptual explanations<br />

for the signaling effects of the financial ratios and for their impact on investors’<br />

decisions.<br />

Despite such caveats, it can be argued that even such a limited study can highlight the<br />

existence of some signaling mechanisms through which the informational variables<br />

describing the issuers’ financial status can affect the prices even in a case of an<br />

emergent market with significant informational imperfections such as the Romanian<br />

one.<br />

REFERENCES<br />

Arrelano M., and Bover O., (1995) „Another look at the instrumental variables estimation of<br />

error components models”, Journal of Econometrics, , pp. 68, 29-51.<br />

Baltagi B.H., (2008) „Econometric Analysis of Panel Data”, Chichester:John Wiley & Sons<br />

Ltd, 4th edition,.<br />

Blundell R., Bond S., (2000) „GMM Estimation with persistent panel data: an application to<br />

production functions”, Econometric Reviews, Taylor and Francis Journals, 19(3),<br />

pp. 321-340.<br />

Blundell R., Bond S., (1998) „Initial conditions and moment restrictions in dynamic panel<br />

data models”, Journal of Econometrics, Elsevier, 87(1), pp.115-143.<br />

Blundell R., Bond S., Windmeijer F., (2000) „Estimation in dynamic panel data models:<br />

improving on the performance of the standard GMM estimato”, IFS Working Papers<br />

W00/12, Institute for Fiscal Studies,.<br />

Bond S., (2002) „Dynamic Panel Models: A Guide to Micro Data Methods and Practice”,<br />

Institute for Fiscal Studies, Department of Economics, UCL, CEMMAP (Centre for<br />

Microdata Methods and practice) Working Paper CWPO9/02,. Available online:<br />

http://cemmap.ifs.org.uk/wps/cwp0209.pdf.<br />

Bucharest Stock Exchange (2011) available at: www.bvb.ro „Indices and indicators”,<br />

„Trading and statistics” accesed on 12.03.2011<br />

Campbell J.Y., and R. J. Shiller, (1989) „The Dividend-Price Ratio and Expectations of<br />

Future Dividends and Discount Factors”, Review of Financial Studie, No 1,<br />

pp. 195–228.<br />

Campbell, J.Y., Shiller R.J., Stock price, (1988) „Earnings and Expected Dividends”, Journal<br />

of Finance, No 43, pp. 661-676.<br />

Chang Hsu-Ling, Yahn-Shir Chen, Chi-Wei Su, Chang Ya-Wen, (2008) „The Relationship<br />

between Stock Price and EPS: Evidence Based on Taiwan Panel Data”, Economics<br />

Bulletin, 30 (3): 1-12.<br />

Cochrane J.H., (2001) „Asset Pricing”, Princeton University Press,.<br />

Fama E.F., French K.R., (1988) „Dividend Yields and Expected Stock Returns”, Journal of<br />

Financial Economics No. 22, pp. 3–27.<br />

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