Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/317036 
Year of Publication: 
2023
Citation: 
[Journal:] Empirical Economics [ISSN:] 1435-8921 [Volume:] 66 [Issue:] 5 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2023 [Pages:] 2083-2103
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
This paper provides two specification tests for the system of spatial autoregressive model of order m . We derive the theoretical limit distributions and show in a detailed Monte Carlo simulation study that the tests result in reasonable sized testing procedures with large power. In the empirical application, we analyze Euro Stoxx 50 returns in two different time spans, looking for insights how well models with different specifications of the spatial weighting matrices (local, country, industry and country-industry specific dependencies including interaction effects) fit to the data. The analyzes also demonstrate the ability of the tests to detect inaccurate Value-at-Risk forecasts.
Subjects: 
Heteroscedasticity
Method of moments
Spatial dependence
Stock returns
Value-at-Risk
JEL: 
C12
C51
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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