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Rickard Nyman
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News and narratives in financial systems: exploiting big data for systemic risk assessment
R Nyman, S Kapadia, D Tuckett
Journal of Economic Dynamics and Control 127, 104119, 2021
2022021
Predicting economic recessions using machine learning algorithms
R Nyman, P Ormerod
arXiv preprint arXiv:1701.01428, 2017
542017
Tracking phantastic objects: A computer algorithmic investigation of narrative evolution in unstructured data sources
D Tuckett, RE Smith, R Nyman
Social Networks 38, 121-133, 2014
542014
Big data and economic forecasting: A top-down approach using directed algorithmic text analysis
R Nyman, P Ormerod, R Smith, D Tuckett
Workshop on using big data for forecasting and statistics. European Central …, 2014
212014
Bringing social-psychological variables into economic modelling: Uncertainty, animal spirits and the recovery from the great recession
D Tuckett, P Ormerod, R Smith, R Nyman
Animal Spirits and the Recovery from the Great Recession (Jnauary 12, 2014), 2014
152014
The role of sentiment in the US economy: 1920 to 1934
A Kabiri, H James, J Landon‐Lane, D Tuckett, R Nyman
The Economic History Review 76 (1), 3-30, 2023
13*2023
Measuring financial sentiment to predict financial instability: A new approach based on text analysis
P Ormerod, R Nyman, D Tuckett
arXiv preprint arXiv:1508.05357, 2015
112015
Nowcasting economic and social data: when and why search engine data fails, an illustration using Google Flu Trends
P Ormerod, R Nyman, RA Bentley
arXiv preprint arXiv:1408.0699, 2014
82014
Understanding the Great Recession using machine learning algorithms
R Nyman, P Ormerod
arXiv preprint arXiv:2001.02115, 2020
72020
Text as data: a machine learning-based approach to measuring uncertainty
R Nyman, P Ormerod
arXiv preprint arXiv:2006.06457, 2020
62020
An Algorithmic Investigation of Conviction Narrative Theory: Applications in Business, Finance and Economics
RBE Nyman
UCL (University College London), 2016
62016
An algorithmic investigation of conviction narrative theory: applications in business
R Nyman
Finance and Economics (Ph. D. Thesis). University College London, The …, 2015
62015
Big data, socio-psychological theory, algorithmic text analysis and predicting the Michigan consumer sentiment index
R Nyman, P Ormerod
arXiv preprint arXiv:1405.5695, 2014
62014
Efficiently vectorized code for population based optimization algorithms
O Rice, R Nyman
RN 13, 21, 2013
62013
The relative sentiment shift series for tracking the economy
D Tuckett, R Nyman
UCL working paper, 2018
52018
Improving economic prediction: A new method for measuring economic confidence and its impact on the evolution of the us economy
D Tuckett, P Ormerod, RE Smith, R Nyman
Working Paper. https://www. researchgate. net/publication/275333686, 2015
52015
Macroeconomics with human sentient and social actors
D Tuckett, P Ormerod, RE Smith, R Nyman
Economic and Social Research Council Conference on Diversity in …, 2014
52014
Measuring the influencers in the news media's narratives
SO Stern, D Tuckett, RE Smith, R Nyman
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
42018
INFORMATION AND ECONOMICS: A NEW WAY TO THINK ABOUT EXPECTATIONS AND TO IMPROVE ECONOMIC PREDICTION1.
D Tuckett, P Ormerod, R Nyman, RE Smith
Institute for New Economic Thinking 2015 Plenary conference," Liberté …, 2015
32015
Parallel Multi-Objective Genetic Algorithm: GPU Accelerated Asynchronously Distributed NSGA II
O Rice, RE Smith, R Nyman
Theory and Practice of Natural Computing: Second International Conference …, 2013
32013
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