This paper introduces a novel panel approach to structural vector autoregressive analysis. For identification, we impose independence of structural innovations at the pooled level. We demonstrate robustness of the method under cross‐sectional correlation and heterogeneity through simulation...

To improve the dynamic assessment of risks of speculative assets, we apply a Markov switching MGARCH approach to portfolio risk forecasting. More specifically, we take advantage of the flexible Markov switching copula multivariate GARCH (MS‐C‐MGARCH) model of Fülle and Herwartz (2022). As...

Using a data-driven approach to identify structural vector autoregressive models, we examine key factors influencing the US dollar exchange rate across eight advanced economies from 1980 to 2022. We find that shocks to inflation expectations, which are closely tied to unfunded government...

Using a data-driven approach to identify structural vector autoregressive models, we examine key factors influencing the US dollar exchange rate across eight advanced economies from 1980 to 2022. We find that shocks to inflation expectations, which are closely tied to unfunded government...

Using a data-driven approach to identify structural vector autoregressive models, we examine key factors influencing the US dollar exchange rate across eight advanced economies from 1980 to 2022. We find that shocks to inflation expectations, which are closely tied to unfunded government...