We examine empirically the episode of extraordinary turbulence in global financial markets during 1998. The analysis focuses on the market assessment of credit risk captured by daily movements in bond spreads for twelve countries. A dynamic latent factor model is estimated using indirect...

Episodes of extraordinary turbulence in global financial markets are examined during eight crises ranging from Asia in 1997-98 to the recent great recession of 2008-10. The analysis focuses on changes in the dependence structures of equity markets through correlation and coskewness to answer the...

Using a unique dataset on daily foreign exchange intervention and a new methodological framework of a latent factor model of central bank intervention, this paper addresses the effects of intervention in an emerging market. Events in financial markets from 2002 to 2010 provide a natural...

The behaviour of real estate markets during the 1997-98 financial crisis in Asian economies has received little attention despite the extensive research on other asset markets over this time. This paper examines the transmission of shocks across national real estate markets prior to and during...

August to September 1998 has been characterized as one of the worst episodes of global financial distress in decades. This paper investigates the transmission of the Russian and the LTCM crises through global equity markets using a panel of 14 developing and industrial countries. The results...

The effects of unanticipated movements in global risk on nine emerging bond markets are investigated. The components of global risk are volatility, credit, and liquidity risks. Country and contagion risks are also studied individually. A historical decomposition of bond spreads is used to...

The existing literature suggests a number of alternative methods to test for the presence of contagion during financial market crises. This paper reviews those methods and shows how they are related in a unified framework. A number of extensions are also suggested that allow for multivariate...