Structural changes and the forecasting of quarterly accounting earnings in the utility industry
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Cited by:
- Ahmed Bouteska & Boutheina Regaieg, 2017. "Overconfidence Bias, Over/Under-reaction of Financial Analysts on the Tunisian Stock Market, and Their Impacts on the Earnings Forecasts," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 208-214.
- John Waterhouse & Michael Gibbins & Alan J. Richardson, 1993. "Strategic Financial Disclosure: Evidence from Labor Negotiations," Contemporary Accounting Research, John Wiley & Sons, vol. 9(2), pages 526-550, March.
- Syouching Lai & Hungchih Li, 2006. "The predictive power of quarterly earnings per share based on time series and artificial intelligence model," Applied Financial Economics, Taylor & Francis Journals, vol. 16(18), pages 1375-1388.
- Callen, Jeffrey L. & Kwan, Clarence C. Y. & Yip, Patrick C. Y. & Yuan, Yufei, 1996. "Neural network forecasting of quarterly accounting earnings," International Journal of Forecasting, Elsevier, vol. 12(4), pages 475-482, December.
- Yang Pang & Shimeng Shi & Yukun Shi & Yang Zhao, 2022. "A nonlinear dynamic approach to cash flow forecasting," Review of Quantitative Finance and Accounting, Springer, vol. 59(1), pages 205-237, July.
- Hannu, Schadewitz, 1997. "Financial and nonfinancial information in interim reports: Determinants and implications," MPRA Paper 44292, University Library of Munich, Germany.
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