Variations in the foreign exchange market influence all aspects of the world economy, and understanding these dynamics is one of the great challenges of international economics. This book provides a new, comprehensive, and in-depth examination of the standard theories and latest research in exchange-rate economics. Covering a vast swath of theoretical and empirical work, the book explores established theories of exchange-rate determination using macroeconomic fundamentals, and presents unique microbased approaches that combine the insights of microstructure models with the macroeconomic forces.

This book looks at the PPP persistence puzzle, and econometric aspects of exchange rate dynamics and their implications. It also explores the importance of exchange rate dynamics in the pass-through effects (PTE) and the econometric aspects of the exchange rates dynamics linked to structural shocks on different economies.

Until now, thinking on open economy macroeconomics has been largely schizophrenic. When it comes to analyzing exchange rate dynamics, an empirically-minded economist abandons modern current account models which, while theoretically coherent, fail to address the awkward reality of sticky nominal prices. In this paper we develop an analytically tractable two-country model that marries a full account of dynamics to a supply framework based on monopolistic competition and sticky prices. It offers simple and intuitive predictions about exchange rates and current accounts that sometimes differ sharply from those of either modern flexible-price intertemporal models, or traditional sticky-price Keynesian models. The model also leads to a novel perspective on the international welfare spillovers of monetary and fiscal policies.

This book collects my scholarly research on the behavior of foreign exchange rates conducted over the past twenty-five years. The collection includes papers that study the behavior of exchange rates from the traditional macroeconomic and newer microstructure perspectives. The former perspective considers the linkages between the macro economy and currency prices in an effort to understand the behavior of exchange rates over quarters, years and decades. By contrast, the microstructure perspective considers how the details of currency trading affect how macroeconomic information becomes embedded in currency prices, a process which drives exchange-rates over intraday horizons. The book also contains papers with a hybrid perspective that consider the details of currency trading and macroeconomic linkages in an effort to understand exchange-rate dynamics across all horizons.

Guillermo Calvo, who foresaw the financial crisis that followed the devaluationn of Mexico's peso, has spent much of his career thinking beyond the conventional wisdom. In a quiet and understated way, Calvo has made seminal contributions to several major research areas in macroeconomics, particularly monetary policy, exchange rates, public debt, and stabilization in Latin America and post-communist countries. Money, Exchange Rates, and Output brings together these contributions in a broad selection of the author's work over the past two decades. There are introductions to each section, and an introduction to the entire collection that outlines the connections throughout and survey the current state of macroeconomic theory. Specific issues covered are predetermined exchange rates, currency substitution, domestic public debt and seigniorage, and stabilizing transition economics.

Just as macroeconomic models describe the overall economy within a changing, or dynamic, framework, the models themselves change over time. In this text Stephen J. Turnovsky reviews in depth several early models as well as a representation of more recent models. They include traditional (backward-looking) models, linear rational expectations (future-looking) models, intertemporal optimization models, endogenous growth models, and continuous time stochastic models. The author uses examples from both closed and open economies. Whereas others commonly introduce models in a closed context, tacking on a brief discussion of the model in an open economy, Turnovsky integrates the two perspectives throughout to reflect the increasingly international outlook of the field. This new edition has been extensively revised. It contains a new chapter on optimal monetary and fiscal policy, and the coverage of growth theory has been expanded substantially. The range of growth models considered has been extended, with particular attention devoted to transitional dynamics and nonscale growth. The book includes cutting-edge research and unpublished data, including much of the author's own work.

The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.