Université de Fribourg

How do the global stock markets influence one another? Evidence from finance big data and Granger causality directed network

Tang, Yong ; Xiong, Jason Jie ; Luo, Yong ; Zhang, Yi-Cheng

In: International Journal of Electronic Commerce, 2019, vol. 23, no. 1, p. 85–109

The recent financial network analysis approach reveals that the topologies of financial markets have an important influence on market dynamics. However, the majority of existing Finance Big Data networks are built as undirected networks without information on the influence directions among prices. Rather than understanding the correlations, this research applies the Granger causality test to...

Université de Fribourg

Complexities in financial network topological dynamics: modeling of emerging and developed stock markets

Tang, Yong ; Xiong, Jason Jie ; Jia, Zi-Yang ; Zhang, Yi-Cheng

In: Complexity, 2018, p. -

Policy makings and regulations of financial markets rely on a good understanding of the complexity of financial markets. There have been recent advances in applying data-driven science and network theory into the studies of social and financial systems. Financial assets and institutions are strongly connected and influence each other. It is essential to study how the topological structures of...

Université de Fribourg

Quantitative learning strategies based on word networks

Zhao, Yue-Tian-Yi ; Jia, Zi-Yang ; Tang, Yong ; Xiong, Jason Jie ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2018, vol. 491, p. 898–911

Learning English requires a considerable effort, but the way that vocabulary is introduced in textbooks is not optimized for learning efficiency. With the increasing population of English learners, learning process optimization will have significant impact and improvement towards English learning and teaching. The recent developments of big data analysis and complex network science provide...