Co-movement of Banking Stress Across Emerging and Developed Economies: A Dynamic Factor Model and Wavelet Coherence Approach

2021 ◽  
pp. 097215092110368
Author(s):  
S. P. Rajesh

This study develops a robust banking stability indicator for emerging and advanced economies and examines the linkage of banking stress across economies. We contribute by including interbank borrowings and banking sector volatility to measure contagious risk besides the traditional variables. Second, we use aggregate banking sector data for five countries (China, India, Japan, the UK and the USA) from 1998 to 2015 and employ dynamic factor model to develop the index. Results show higher stress levels in the UK and China, and all economies witness increased stress during the 2007–2009 crises, but the recovery phase varies. Finally, we use wavelet coherence analysis and find evidence of stress transmission from emerging economies to other emerging and advanced economies.

2018 ◽  
Vol 118 ◽  
pp. 281-317 ◽  
Author(s):  
Tao Ma ◽  
Zhou Zhou ◽  
Constantinos Antoniou

2018 ◽  
Vol 33 (5) ◽  
pp. 625-642 ◽  
Author(s):  
Mario Forni ◽  
Alessandro Giovannelli ◽  
Marco Lippi ◽  
Stefano Soccorsi

2021 ◽  
pp. 1-45
Author(s):  
Matteo Barigozzi ◽  
Matteo Luciani

Abstract We propose a new measure of the output gap based on a dynamic factor model that is estimated on a large number of U.S. macroeconomic indicators and which incorporates relevant stylized facts about macroeconomic data (co-movements, non-stationarity, and the slow drift in long-run output growth over time). We find that, (1) from the mid-1990s to 2008, the U.S. economy operated above its potential; and, (2) in 2018:Q4, the labor market was tighter than the market for goods and services. Because it is mainly data-driven, our measure is a natural complementary tool to the theoretical models used at policy institutions.


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