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A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time.

We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.

The Chinese housing market has grown rapidly following its liberalization in the 1990s, generating significant economic activity and demand for base metals. In this paper, we discuss the evolution of the Chinese housing market and quantify its importance for the overall Chinese economy and its linkages to base metal prices.

Fluctuations in the prices of various natural resource products are of concern in both policy and business circles; hence, it is important to develop accurate price forecasts.

Using a novel data set on capital control actions in 17 emerging-market economies (EMEs) over the period 2001–11, we provide new evidence on domestic and multilateral (or spillover) effects of capital controls.

We assess the importance of downward nominal wage rigidity (DNWR) in Canada using both firm- and worker-level microdata. In particular, we analyze employer-level administrative data from the Major Wage Settlements (MWS) and household-based survey data from the Survey of Labour Income Dynamics (SLID).

Awareness of operational risk has increased greatly in recent years, both at individual financial institutions and for payment, clearing, and settlement systems (PCSS). PCSS consist of networks of interconnected elements (i.e., central operators, participants, and settlement agents); operational problems at any one of the key elements have the potential to disrupt the system as a whole and negatively affect financial stability.

Central counterparties can make over-the-counter markets more resilient and reduce systemic risk by mitigating and managing counterparty credit risk. These benefits are maximized when access to central counterparties is available to a wide range of market participants. In an over-the-counter market, there is an important trade-off between risk and competition. A model of an over-the-counter market shows how risk and competition could be influenced by the incentives of market participants as they move to central clearing. In a centrally cleared market, there may be less risk when participation is high. This helps to explain why regulators have put in place requirements for fair, open and risk-based access criteria.

The Survey of Professional Forecasters (SPF) has had vast influence on research related to better understanding expectation formation and the behaviour of macroeconomic agents. Inflation expectations, in particular, have received a great deal of attention, since they play a crucial role in determining real interest rates, the expectations-augmented Phillips curve and monetary policy.

The authors describe a new view of cross-listing that links the impact on firm valuation to the firm's ability to develop an active secondary market for its shares in the U.S. markets.