State space models play a key role in the estimation of time-varying sensitivities in financial markets. The objective of this book is to analyze the relative merits of modern time series techniques, such as Markov regime switching and the Kalman filter, to model structural changes in the...

The study analyses financial cycles based on a global sample of 34 advanced and developing countries over the period 1960Q1 to 2015Q4. We use dynamic factor models and state-space techniques to estimate financial cycles in credit, housing, bond and equity markets, as well as aggregate...

In the wake of the global financial crisis that began in 2008, this book offers a systematic overview of recent developments in regulatory frameworks in advanced and emerging-market countries, outlining challenges to improving regulation, markets, and access in developing economies. - Provided...

This study has investigated to which extent rating events influence sovereign bond yield spreads and overall financial market volatility. While rating agencies are part and parcel of today's financial markets, the study succeeds in tracing some independent effect that ratings exert on financial...