Combining Judgmental and Statistical Forecasts: An Application to Earnings Forecasts

Decision Sciences

Volumn 21, Issue 2, 1990, Pages 446-460

  Lobo, Gerald J ^a   Nair, R D ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Accounting; Finance and Forecasting

Indexed keywords

EID: 84985759876     PISSN: 00117315     EISSN: 15405915     Source Type: Journal    
DOI: 10.1111/j.1540-5915.1990.tb01696.x     Document Type: Article

References (20)

1. The time‐series properties of annual earnings
2. An empirical evaluation of accounting income numbers
3. Some time‐series properties of accounting income numbers
4. The combination of forecasts
5. The superiority of analyst forecasts as measures of expectations: Evidence from earnings
6. Univariate time‐series models of quarterly accounting earnings per share: A proposed model
7. Combining economic forecasts
8. A multivariate analysis of annual earnings forecasts generated from quarterly forecasts of financial analysts and univariate time‐series models
9. Company forecast accuracy for exponential smoothing models of earnings‐pershare data for financial decision making: A comment
10. Structural change and the combination of forecasts
11. Optimal aggregation of money supply forecasts: Accuracy, profitability and market efficiency
12. Quarterly accounting data: Time‐series properties and predictive‐ability results
13. Improved methods of combining forecasts
14. The time‐series behavior of quarterly earnings: Preliminary evidence
15. Analysis and comparison of earnings forecast agents
16. Predicting annual net earnings with quarterly earnings time‐series models
17. Averages of forecasts: Some empirical results
18. Experience with forecasting univariate time series and the combination of forecasts
19. The time series of annual earnings
20. The combination of forecasts