We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...

We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...

A new model for time-varying spatial dependencies is introduced. It forms an extension to the popular spatial lag model and can be estimated conveniently by maximum likelihood. The spatial dependence parameter is assumed to follow a generalized autoregressive score (GAS) process. The theoretical...

The market-based SRISK measure introduced in Brownlees and Engle (2015) is used to measure the level of systemic risk in Danish banks for the period 2005-15. We find that SRISK was a very good predictor of which banks that needed public capital injections during the financial crisis of 2007-09....

The market-based SRISK measure introduced in Brownlees and Engle (2015) is used to measure the level of systemic risk in Danish banks and the Danish financial sector as a whole for the period 2005-15. The systemic risk contribution for a bank is measured as its propensity to be undercapitalized...

Using a unique database, this paper examines the interconnection among stress indicators of the Spanish financial markets during the period of January 1999 to April 2021, applying both the connectedness framework and the Time-Varying Parameter Vector Autoregressive connectedness approach. Our...

This paper analyses the spatial pattern of the agricultural yield data. Using the spatial statistics, it is possible to estimate some parameters of the semivariogram to study the problem of the systemic risk, which has great implications for the crop insurance program in Brazil. In particular,...

Using a unique database, this paper examines the interconnection among stress indicators of the Spanish financial markets during the period of January 1999 to April 2021, applying both the connectedness framework and the Time-Varying Parameter Vector Autoregressive connectedness approach. Our...

In this paper, we perform analysis of systemic risk in the financial and energy sector in Europe. In our investigation, we work with daily time series of CDS spreads. We employ factor copula model with GAS dynamics of Oh and Patton (2016) for estimation purposes of dependency structures between...