This paper develops a stylized, small, open economy macro model that incorporates an explicit and non-trivial role for financial intermediation. It illustrates how such a model could be used for policy analysis in an emerging market economy where policymakers are concerned about risks associated with rapid credit growth, financial dollarization, and foreign borrowing, while lacking traditional tools to effect monetary policy transmission, and hence could resort to more direct instruments, such as foreign exchange market intervention and regulatory and administrative measures. Calibrating the model to a stylized emerging European economy, the paper simulates real and financial sector implications of various external and policy-related shocks that could be used as input for monetary policy making.

This paper develops a stylized, small, open economy macro model that incorporates an explicit and non-trivial role for financial intermediation. It illustrates how such a model could be used for policy analysis in an emerging market economy where policymakers are concerned about risks associated with rapid credit growth, financial dollarization, and foreign borrowing, while lacking traditional tools to effect monetary policy transmission, and hence could resort to more direct instruments, such as foreign exchange market intervention and regulatory and administrative measures. Calibrating the model to a stylized emerging European economy, the paper simulates real and financial sector implications of various external and policy-related shocks that could be used as input for monetary policy making.

This book deals with the challenges of macro financial linkages in the emerging markets.

This note explores the costs and benefits of different policy options to reduce the risks associated with credit booms, drawing upon several country experiences and the findings from econometric analysis.

The recent financial crisis and the difficulty of using mainstream macroeconomic models to accurately monitor and assess systemic risk have stimulated new analyses of how we measure economic activity and the development of more sophisticated models in which the financial sector plays a greater role. Markus Brunnermeier and Arvind Krishnamurthy have assembled contributions from leading academic researchers, central bankers, and other financial-market experts to explore the possibilities for advancing macroeconomic modeling in order to achieve more accurate economic measurement. Essays in this volume focus on the development of models capable of highlighting the vulnerabilities that leave the economy susceptible to adverse feedback loops and liquidity spirals. While these types of vulnerabilities have often been identified, they have not been consistently measured. In a financial world of increasing complexity and uncertainty, this volume is an invaluable resource for policymakers working to improve current measurement systems and for academics concerned with conceptualizing effective measurement.

This paper develops a small open economy dynamic stochastic general-equilibrium model with macrofinancial linkages. The model includes a financial accelerator--entrepreneurs are assumed to partially finance investment using domestic and foreign currency debt--to assess the importance of financial frictions in the amplification and propagation of the effects of transitory shocks. We use Bayesian estimation techniques to estimate the model using India data. The model is used to assess the importance of the financial accelerator in India and the optimality of monetary policy.

This important new book from a group of Keynesian, but nonetheless technically-oriented economists explores one of the dominant paradigms in financial economics: the ‘intertemporal general equilibrium approach’.