This paper estimates the impact of China's exchange rate changes on exports of competitor countries in third markets, which we call the "spillover effect". We use recent theory to develop an identification strategy in which competition between China and its developing country competitors in specific products and destinations plays a key role. We exploit the variation - afforded by disaggregated trade data - across exporters, importers, product, and time to estimate this spillover effect. We find robust evidence of a statistically and quantitatively significant spillover effect. Our estimates suggest that a 10 percent appreciation of China's real exchange rate boosts on average a developing country's exports of a typical 4-digit HS product category to third markets by about 1.5-2 percent. The magnitude of the spillover effect varies systematically with product characteristics as implied by theory.

The objective of this handbook is to provide the readers with insights about current dynamics and future potential transformations of global financial markets. We intend to focus on four main areas: Dynamics of Financial Markets; Financial Uncertainty and Volatility; Market Linkages and Spillover Effects; and Extreme Events and Financial Transformations and address the following critical issues, but not limited to: market integration and its implications; crisis risk assessment and contagion effects; financial uncertainty and volatility; role of emerging financial markets in the global economy; role of complex dynamics of economic and financial systems; market linkages, asset valuation and risk management; exchange rate volatility and firm-level exposure; financial effects of economic, political and social risks; link between financial development and economic growth; country risks; and sovereign debt markets.

Discusses economic issues associated with exchange rates, commodity prices, the economic size of countries and alternatives to PPP exchange rates.

This paper explores the effects of unconventional monetary and exchange rate policies. We find that official foreign asset purchases have large effects on current accounts that diminish as capital mobility rises and spill over to financially integrated countries. There is an additional effect through the stock of central bank assets. Domestic asset purchases have an effect on current accounts only when capital mobility is low. We also find that rising US bond yields drive foreign yields, stock prices and depreciations, but less so on days of policy announcements. We develop a theoretical model that is broadly consistent with our results.

Most trade is invoiced in very few currencies. Despite this, the Mundell-Fleming benchmark and its variants focus on pricing in the producer’s currency or in local currency. We model instead a ‘dominant currency paradigm’ for small open economies characterized by three features: pricing in a dominant currency; pricing complementarities, and imported input use in production. Under this paradigm: (a) the terms-of-trade is stable; (b) dominant currency exchange rate pass-through into export and import prices is high regardless of destination or origin of goods; (c) exchange rate pass-through of non-dominant currencies is small; (d) expenditure switching occurs mostly via imports, driven by the dollar exchange rate while exports respond weakly, if at all; (e) strengthening of the dominant currency relative to non-dominant ones can negatively impact global trade; (f) optimal monetary policy targets deviations from the law of one price arising from dominant currency fluctuations, in addition to the inflation and output gap. Using data from Colombia we document strong support for the dominant currency paradigm.

This book contains several innovative models for the prices of financial assets. First published in 1986, it is a classic text in the area of financial econometrics. It presents ARCH and stochastic volatility models that are often used and cited in academic research and are applied by quantitative analysts in many banks. Another often-cited contribution of the first edition is the documentation of statistical characteristics of financial returns, which are referred to as stylized facts. This second edition takes into account the remarkable progress made by empirical researchers during the past two decades from 1986 to 2006. In the new Preface, the author summarizes this progress in two key areas: firstly, measuring, modelling and forecasting volatility; and secondly, detecting and exploiting price trends. Sample Chapter(s). Chapter 1: Introduction (1,134 KB). Contents: Features of Financial Returns; Modelling Price Volatility; Forecasting Standard Deviations; The Accuracy of Autocorrelation Estimates; Testing the Random Walk Hypothesis; Forecasting Trends in Prices; Evidence Against the Efficiency of Futures Markets; Valuing Options; Appendix: A Computer Program for Modelling Financial Time Series. Readership: Academic researchers in finance & economics; quantitative analysts.