On this page I summarize the research I am working on and published papers.
Network modeling:
- Epidemics of liquidity shortages in interbank markets, Physisca A (2018). [DOI] [PDF]
- Systemic contagion in the European interbank market, Journal of Economic Interaction and Coordination (2021). [DOI] [PDF]
Econometrics and Data analysis:
- Predicting multidimensional data via tensor learning, Journal of Computational Science (2021). [DOI] [PDF]
- Higher-Order Hierarchical Spectral Clustering for Multidimensional Data, International Conference on Computational Science (2021). [DOI] [PDF]
- Unveil stock correlation via a new tensor-based decomposition method, Journal of Computational Science (2020). [DOI] [PDF]
- A new multilayer network construction via Tensor learning, International Conference on Computational Science (2020). [DOI] [PDF]
Applied mathematics in Finance:
- On the statistics of scaling exponents and the Multiscaling Value at Risk, European Journal of Finance (2021). [DOI] [PDF]
- The use of scaling properties to detect relevant changes in financial time series: A new visual warning tool, Physica A (2018). [DOI] [PDF]
- On the interplay between multiscaling and stock dependence, Quantitative Finance (2019). [DOI] [PDF]
- Multiscaling and rough volatility: an empirical investigation, International Review of Financial Analysis (2022). [DOI] [PDF]