Modeling the Costs of Trade Finance During the Financial Crisis of 2008–2009: An Application of Dynamic Hierarchical Linear Model

Shantanu Mullick, Ashwin Malshe, Nicolas Glady

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

The authors propose a dynamic hierarchical linear model (DHLM) to study the variations in the costs of trade finance over time and across countries in dynamic environments such as the global financial crisis of 2008–2009. The DHLM can cope with challenges that a dynamic environment entails: nonstationarity, parameters changing over time and cross-sectional heterogeneity. The authors employ a DHLM to examine how the effects of four macroeconomic indicators – GDP growth, inflation, trade intensity and stock market capitalization - on trade finance costs varied over a period of five years from 2006 to 2010 across 8 countries. We find that the effect of these macroeconomic indicators varies over time, and most of this variation is present in the year preceding and succeeding the financial crisis. In addition, the trajectory of time-varying effects of GDP growth and inflation support the “flight to quality” hypothesis: cost of trade finance reduces in countries with high GDP growth and low inflation, during the crisis. The authors also note presence of country-specific heterogeneity in some of these effects. The authors propose extensions to the model and discuss its alternative uses in different contexts.
Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 18th International Conference, IPMU 2020, Proceedings
EditorsMarie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Anna Wilbik, Bernadette Bouchon-Meunier, Ronald R. Yager
PublisherSpringer Nature
Pages639-652
Number of pages14
ISBN (Electronic)978-3-030-50146-4
ISBN (Print)978-3-030-50145-7
DOIs
Publication statusPublished - 5 Jun 2020
Externally publishedYes
EventInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - Lisbon, Portugal
Duration: 15 Jun 202019 Jun 2020
Conference number: 18th
https://ipmu2020.inesc-id.pt/

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer International Publishing
Volume1237 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Abbreviated titleIPMU 2020
Country/TerritoryPortugal
CityLisbon
Period15/06/2019/06/20
Internet address

Keywords

  • Bayesian inference
  • Trade finance

ASJC Scopus subject areas

  • Artificial Intelligence

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