Water pollution is subject to the effects of various drivers and exhibits significant
spatiotemporal effects. This paper reviews the spatiotemporal variation pattern of water …

This paper constructs a tail event driven network to investigate the interdependence of tail
risks among industries in the Chinese stock market from 2014 to 2019, and identifies …

This study presents financial network indicators that can be applied to inspect the financial
contagion on real economy, as well as the spatial spillover and industry aggregation effects …

This paper presents evidence of distressed property spillover in coastal flood-prone areas.
By utilizing a hedonic pricing model, this study may contribute to the global discussion on …

This work focuses on functional data presenting spatial dependence. The spatial
autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries was …

This study investigates fear transmission between the US financial market and the Euro-
Asian financial markets. Our spatial regression models show that the US VIX index (Chicago …

This paper studies the impact of macroeconomic factors on co-movement in the foreign
exchange rate markets. Data of foreign exchange rates from 24 merging markets is used to …

Purpose This study is the first that aims to investigate international transmission channels of
sovereign risk among G20 and explore its influential factors by applying the …

Interval-valued data receives much attention due to its wide applications in the fields of
finance, econometrics, meteorology and medicine. However, most regression models …

Spatial econometrics is a subset of econometric methods evolved from the need to account
for the location and spatial interaction. This means that what happens in one economic unit …