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Expectations, use and judgmental adjustment of external financial and economic forecasts : an empirical investigation

Gönül, Sinan; Önkal, Dilek; Goodwin, Paul - In: Journal of forecasting 28 (2009) 1, pp. 19-37

Persistent link: https://www.econbiz.de/10003831020

Improving the Role of Judgment in Economic Forecasting

Goodwin, Paul; Önkal, Dilek; Lawrence, Michael - In: The Oxford handbook of economic forecasting. 2012

Persistent link: https://www.econbiz.de/10012882028

Supporting judgment in predictive analytics : scenarios and judgmental forecasts

Önkal, Dilek; Gönül, M. Sinan; Goodwin, Paul - In: Judgment in Predictive Analytics, (pp. 245-264). 2023

Persistent link: https://www.econbiz.de/10014301364

Is a more liberal approach to conservatism needed in forecasting?

Goodwin, Paul - In: Journal of business research : JBR 68 (2015) 8, pp. 1753-1754

Persistent link: https://www.econbiz.de/10011317068

Scenarios as channels of forecast advice

Önkal, Dilek; Sayım, Kadire Zeynep; Gönül, Mustafa Sinan - In: Technological forecasting & social change : an … 80 (2013) 4, pp. 772-788

Persistent link: https://www.econbiz.de/10009727714

Using scenarios to forecast outcomes of a refugee crisis

Wicke, Lars; Dhami, Mandeep K.; Önkal, Dilek; Belton, … - In: International journal of forecasting 38 (2022) 3, pp. 1175-1184

Persistent link: https://www.econbiz.de/10013349775

Reproducibility in forecasting research

Boylan, John E.; Goodwin, Paul; Mohammadipour, Maryam; … - In: International journal of forecasting 31 (2015) 1, pp. 79-90

Persistent link: https://www.econbiz.de/10011327464

A parsimonious explanation of observed biases when forecasting one's own performance

Meeran, Sheik; Goodwin, Paul; Yalabik, Baris - In: International journal of forecasting 32 (2016) 1, pp. 112-120

Persistent link: https://www.econbiz.de/10011596479

Using Naïve Forecasts to Assess Limits to Forecast Accuracy and the Quality of Fit of Forecasts to Time Series Data

Goodwin, Paul - 2014

Naïve 1 forecasts are often used as a benchmark when assessing the accuracy of a set of forecasts. A ratio is obtained to show the upper bound of a forecasting method's accuracy relative to naïve 1 forecasts when the mean squared error is used to measure accuracy. Formulae for the ratio are...

Persistent link: https://www.econbiz.de/10013044996