editorial

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Journal of Forecasting, Vol. 2, 323 (1983) Editorial This symposium issue arose out of the great interest expressed by practitioners and academics in applying forecasting techniques to accounting and finance topics at the First International Symposium on Forecasting (Quebec City, 1981). Our intent is to expose readers of the Journal of Forecasting to an interesting segment of the forecasting literature while at the same time to present specific research topics in the accounting and finance disciplines. Included in this issue are papers that evaluate different methods for predicting companies’ earnings, sales and common stock returns. Other papers assess the differential forecasting ability of experts versus extrapolative models and review the developing literature on the time-series properties of financial variables. Publication of this symposium issue would not have been possible without the many accounting and finance researchers who submitted to us more than 40 manuscripts. We also greatly appreciate the help of numerous highly qualified referees (see back page of this issue) whose detailed and timely comments greatly facilitated the process of selecting the papers. Finally, we wish to express our sincere appreciation to the editors of the Journal of Forecasting whose support and encouragement has enabled us to bring together a timely collection of relevant accounting and financial research results. LAWRENCE D. BROWN State Unirersity of New York at Bufalo PAUL A. GRIFFIN University of California at Davis

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Page 1: Editorial

Journal of Forecasting, Vol. 2, 323 (1983)

Editorial

This symposium issue arose out of the great interest expressed by practitioners and academics in applying forecasting techniques to accounting and finance topics at the First International Symposium on Forecasting (Quebec City, 1981). Our intent is to expose readers of the Journal of Forecasting to an interesting segment of the forecasting literature while at the same time to present specific research topics in the accounting and finance disciplines. Included in this issue are papers that evaluate different methods for predicting companies’ earnings, sales and common stock returns. Other papers assess the differential forecasting ability of experts versus extrapolative models and review the developing literature on the time-series properties of financial variables.

Publication of this symposium issue would not have been possible without the many accounting and finance researchers who submitted to us more than 40 manuscripts. We also greatly appreciate the help of numerous highly qualified referees (see back page of this issue) whose detailed and timely comments greatly facilitated the process of selecting the papers. Finally, we wish to express our sincere appreciation to the editors of the Journal of Forecasting whose support and encouragement has enabled us to bring together a timely collection of relevant accounting and financial research results.

LAWRENCE D. BROWN State Unirersity of New York at Bufalo

PAUL A. GRIFFIN University of California at Davis