Dr Xu Huang

Dr Xu Huang currently serves as Senior Lecturer at the School of Accounting, Finance and Economics. She is also a Fellow of the Higher Education Academy since 2016. Her research interests are AI, blockchain, Fin-Tech, applied statistics, econometrics, general data science advancements in economics and finance. 

Selected journal articles and book:

Book

Hassani, H., Huang, X., and Silva, E. (2019). Fusing Big Data, Blockchain and Cryptocurrency: Their Individual and Combined Importance in the Digital Economy. Palgrave Macmillan, Springer. (about 8000 accesses to date according to publisher record)

Articles

Silva, E. S., Hassani, H., Heravi, S., and Huang, X. (2019). Forecasting tourism demand with denoised neural networks. Annals of Tourism Research, 74, 134-154. (ABS 4*, Q1, IF 12.86)

Huang, X., Paula, M., Hassani, H., Fernando, C. and Gurjeet, D. (2019). Hydrological Natural Inflow and Climate Variables: Time and Frequency Causality Analysis. Physica A: Statistical Mechanics and its Applications, 516, 480-495. (ABS 2*, Q1, IF 3.95, CS 7.1)

Hassani, H., Ghodsi, M., Huang, X. and Silva, E. (2020) Is there a causal relationship between oil price and tourist arrivals? Journal of Applied Statistics, 48, 191-202. (ABS 2*, Q2, IF 1.42, CS 2.5)

Hassani, H., Huang, X., MacFeely, S. (2022) Enabling Digital Twins to Support the UN SDGs. Big Data Cognitive Computing, 6 (4), 115. (Q1, CS 6.1)

Hassani H, Huang X, MacFeely S. (2022). Impactful Digital Twin in the Healthcare Revolution. Big Data and Cognitive Computing, 6 (3), 83. (Q1, CS 6.1)

Hassani, H.; Huang, X.; MacFeely, S.; Entezarian, M.R. (2021) Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance. Big Data Cognitive Computing, 5, 28. (Q1, CS 6.1)

Hassani, H., Huang, X. and Silva, E. (2019). Banking with blockchain-ed big data. Journal of Management Analytics. Taylor & Francis. (Q1, IF 6.56, CS 8.4)

Hassani, H., Huang, X., and Silva, E. (2019). Big data and climate change. Big Data and Cognitive Computing, 3(1), 12. (Q1, CS 6.1)

Hassani, H., Huang, X. and Silva, E. (2018). Big-Crypto: Big Data and Cryptocurrency. Big Data and Cognitive Computing.  (Q1, CS 6.1)

Hassani, H., Huang, X. and Silva, E. (2018). Digitalisation and Big Data Mining in Banking. Big Data and Cognitive Computing.  (Q1, CS 6.1)

Hassani, H., Huang, X., Silva, E., Ghodsi, M. (2020) Deep Learning and Implementations in Banking. Annals of Data Science, 7, 433-446. (Q2, IF 2.77)

Huang, X., Hassani, H., Ghodsi, M, Mukherjee, Z. and Gupta, R. (2017). Do trend extraction approaches affect causality detection in climate change studies? Physica A: Statistical Mechanics and its Applications, 469, 604-624. Elsevier. (ABS 2*, Q1, IF 3.95, CS 7.1)

Hassani, H., Huang, X., Gupta, R. and Ghodsi, M. (2016). Does sunspot numbers cause global temperatures? A reconsideration using non-parametric causality tests. Physica A: Statistical Mechanics and its Applications, 460, 54-65. Elsevier. (ABS 2*, Q1, IF 3.95, CS 7.1)

Demirer, R., Gupta, R., Hassani, H. and Huang, X. (2020). Time-Varying Risk Aversion and the Profitability of Carry Trades: Evidence from the Cross-Quantilogram. Economies, 8(1), 18. (ABS 1*, Q2)

Applied Econometrics and Data Science

(programming, modelling, visualizing and forecasting)

PhD, Bournemouth University, UK

MSc in International Economics, Banking and Finance, Cardiff University, UK

Royal Statistics Society

International Institute of Forecasters

HEA Fellow (since 2016)

Huang, X. (2019). Multivariate Analysis Advancements in Association Measure and Causality Detection by Subspace Based Techniques. In: 11th International Conference on Mathematical Methods in Reliability (MMR2019), 3-7 June, City University of Hong Kong, Hong Kong. 

Huang, X. (2018). Advancements of multivariate analysis by subspace-based techniques. In: Royal Statistical Society 2018 International Conference, September 3-6, 2018. Cardiff, UK. 

Huang, X. (2017). Causality between oil price and tourist arrivals: evidences from advanced nonparametric causality detection methods. In: 37th International Symposium on Forecasting, June 25-28, 2017. Cairns, Australia.

Huang, X. (2016). Novel Non-Parametric Dynamic Causality Detection Methods. In: 36th International Symposium on Forecasting, 19 – 22 June, 2016 Santander, Spain.

Huang, X. (2016). Causality between Sunspot Number and Global Temperature: Evidences from Novel Non-Parametric Dynamic Causality Detection Methods. In: UK Causal Inference Meeting 2016, 11 – 15 April, London, UK.

Huang, X. (2014). Causality between Alcohol and Crime. In: 34th International Symposium on Forecasting, 29 June – 2 July, 2014 Rotterdam, Netherlands.