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A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction
Lessmann, Stefan; Sung, Ming-chien; Johnson, Johnnie E. V. - In: European journal of operational research : EJOR 218 (2012) 1, pp. 163-174
Persistent link: https://www.econbiz.de/10009501053
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Time is money : costing the impact of duration misperception in market prices
Ma, Tiejun; Tang, Leilei; McGroarty, Frank; Sung, Ming-chien - In: European journal of operational research : EJOR 255 (2016) 2, pp. 397-410
Persistent link: https://www.econbiz.de/10011532085
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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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Are the least successful traders those most likely to exit the market? : a survival analysis contribution to the efficient market debate
Ma, Tiejun; Fraser-Mackenzie, Peter A. F.; Sung, Ming-chien - In: European journal of operational research : EJOR 299 (2022) 1, pp. 330-345
Persistent link: https://www.econbiz.de/10013206989
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Turning the heat on financial decisions : examining the role temperature plays in the incidence of bias in a time-limited financial market
Sperb, L. F. Costa; Sung, M. -C.; Ma, Tiejun; Johnson, … - In: European journal of operational research : EJOR 299 (2022) 3, pp. 1142-1157
Persistent link: https://www.econbiz.de/10013207253
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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, pp. 226-239
Persistent link: https://www.econbiz.de/10012102607
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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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Can deep learning predict risky retail investors? : A case study in financial risk behavior forecasting
Kim, A.; Yang, Y.; Lessmann, Stefan; Ma, Tiejun; Sung, M.-C. - In: European journal of operational research : EJOR 283 (2020) 1, pp. 217-234
Persistent link: https://www.econbiz.de/10012161963
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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