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~subject:"Prognoseverfahren"
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Prognoseverfahren
China
18
Theorie
16
Theory
16
Technological change
10
Aktienmarkt
9
Stock market
9
Technischer Fortschritt
9
Börsenkurs
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Forecasting model
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Greenhouse gas emissions
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Share price
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Treibhausgas-Emissionen
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Anlageverhalten
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Behavioural finance
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Learning process
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Lernprozess
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Welt
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World
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Agent-based modeling
6
Capital income
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Kapitaleinkommen
6
Agentenbasierte Modellierung
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Innovation diffusion
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Innovationsdiffusion
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Portfolio selection
5
Portfolio-Management
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Taiwan
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Technological learning
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Technology adoption
5
Chinese stock market
4
Emissions trading
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Emissionshandel
4
Forecast
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Forecasting
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Group decision-making
4
Gruppenentscheidung
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Innovation
4
Prognose
4
Quality management
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English
8
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Johnson, Johnnie E. V.
5
Ma, Tiejun
5
Sung, Ming-chien
3
Liao, Cunfei
2
Ma, Tian
2
Chen, Huayi
1
Costa Sperb, Luis Felipe
1
Green, Lawrence
1
Jiang, Fuwei
1
Kim, A.
1
Lessmann, Stefan
1
Ma, Tieju
1
McGroarty, Frank
1
Sperb, L. F. Costa
1
Sung, M. -C.
1
Sung, M.-C.
1
Tang, Leilei
1
Yang, Y.
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European journal of operational research : EJOR
5
Emerging markets, finance and trade : EMFT
1
International journal of forecasting
1
Pacific-Basin finance journal
1
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ECONIS (ZBW)
8
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1
Analytical debiasing of corporate cash flow forecasts
Ma, Tieju
;
Chen, Huayi
- In:
European journal of operational research : EJOR
243
(
2015
)
3
,
pp. 1004-1015
Persistent link: https://www.econbiz.de/10010513793
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2
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
Saved in:
3
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
Saved in:
4
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
Saved in:
5
Keeping a weather eye on prediction markets : the influence of environmental conditions on forecasting accuracy
Costa Sperb, Luis Felipe
;
Sung, Ming-chien
;
Johnson, …
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 321-335
Persistent link: https://www.econbiz.de/10012300648
Saved in:
6
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
Saved in:
7
Weather sentiment index and stock return predictability : evidence from China
Ma, Tian
;
Liao, Cunfei
;
Jiang, Fuwei
- In:
Emerging markets, finance and trade : EMFT
59
(
2023
)
9
,
pp. 2894-2905
Persistent link: https://www.econbiz.de/10014321047
Saved in:
8
From fundamental signals to stock volatility : a machine learning approach
Liao, Cunfei
;
Ma, Tian
- In:
Pacific-Basin finance journal
84
(
2024
),
pp. 1-17
Persistent link: https://www.econbiz.de/10014534531
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