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~isPartOf:"Computational economics"
~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"European journal of operational research : EJOR"
~isPartOf:"Management science : journal of the Institute for Operations Research and the Management Sciences"
~person:"Johnson, Johnnie E. V."
~subject:"Forecasting model"
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Johnson, Johnnie E. V.
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Computational economics
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To what extent can new web-based technology improve forecasts? : assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial ma...
Green, Lawrence
;
Sung, Ming-chien
;
Ma, Tiejun
;
Johnson, …
- In:
European journal of operational research : EJOR
278
(
2019
)
1
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pp. 226-239
Persistent link: https://www.econbiz.de/10012102607
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Probabilistic forecasting with discrete choice models : evaluating predictions with pseudo-coefficients of determination
Sung, Ming-chien
;
McDonald, David C. J.
;
Johnson, …
- In:
European journal of operational research : EJOR
249
(
2016
)
3
,
pp. 1021-1030
Persistent link: https://www.econbiz.de/10011412507
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Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements
Sung, Ming-chien
;
McDonald, David C. J.
;
Johnson, …
- In:
European journal of operational research : EJOR
272
(
2019
)
1
,
pp. 389-405
Persistent link: https://www.econbiz.de/10011942078
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It takes all sorts : a heterogeneous agent explanation for prediction market mispricing
Restocchi, Valerio
;
McGroarty, Frank
;
Gerding, Enrico
; …
- In:
European journal of operational research : EJOR
270
(
2018
)
2
,
pp. 556-569
Persistent link: https://www.econbiz.de/10011869096
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