structure of price interdependencies across stocks. For correct empirical network determination of such dynamic liquidity price … bootstrap procedure. We document the importance of LOB liquidity network spillovers even for a small blue-chip NASDAQ portfolio. …

financial econometrics. We propose a Tail Event driven Network Quantile Regression (TENQR) model which addresses these three …) autoregression involving network effects quantified through an adjacency matrix. To reflect the nature and risk content of systemic … thus provides measures for the required level of additional loss absorbency. It is discovered that the network effect, as a …

This paper contributes to model the industry interconnecting structure in a network context. General predictive model … interdependency networks. Empirical results show a denser network with heterogeneous central industries in tail cases. Network … out-of-sample forecast of portfolio returns and network centrality-based trading strategies seem to outperform market …

the default probabilities. Extending the Dynamic Nelson Siegel (DNS) model, we propose a network DNS model to analyze the … of the network DNS model indicates that the prediction on CDS curve requires network information. …

network attention proxy, network degree, provides a robust and significant cross-sectional predictability of the monthly stock …