In this paper, I investigated the effects of cross border capital flows induced by the rate of risk adjusted excess returns (Sharpe ratio) on the transitional dynamics of the nominal exchange rate's deviation from its fundamental value. For this purpose, a two state time varying transition probability Markov (TVTPM) regime switching process is added to the sticky price exchange rate model with shares (SPERS). I estimated this model using quarterly data on the four most active floating rate currencies for the years 1973 to 2009: the Australian Dollar (AUD), the Canadian Dollar (CAD), the Japanese Yen (JPY) and the British Pound (UKP). The results provide evidence that the Sharpe ratios of debt and equity investments influence the evolution of transitional dynamics of the currencies' deviation from their fundamental values. In addition, I found that the relationship between economic fundamentals and the nominal exchange rates vary depending on the overvaluation or undervaluation of the currencies.

"This is a very timely book that brings the reader to the forefront of current research on macroeconomic policy issues in economies subject to sizable capital flows".--Guillermo A. Calvo, University of Maryland.

The present paper examines the degree of comovement of gross capital inflows, which is a highly sensitive issue for policy makers. We estimate a dynamic hierarchical factor model that is able to decompose inflows in a sample of 47 economies into (i) a global factor common to all types of flows and all recipient countries, (ii) a factor specific to a given type of capital inflows, (iii) a regional factor and (iv) a country-specific component. We find that the latter explains by far the largest fraction of fluctuations in capital inflows followed by regional factors, which are particularly important for emerging markets' FDI and portfolio inflows as well as bank lending to emerging Europe. The global factor, however, explains only a small share of overall variation. The exposure to global drivers of capital flows, i.e. the global factor and the factor specific to each type of capital inflows, is particularly pronounced for countries with a more developed financial system. A fixed exchange rate regime does not shield countries from the ebb and flow of global capital flow cycles. -- Capital flows ; dynamic hierarchical factor model ; emerging economies ; financial crises

This study quantifies the importance of a Global Financial Cycle (GFCy) for capital flows. We use capital flow data dis-aggregated by direction and type between 1990Q1 and 2015Q5 for 85 countries, and conventional techniques, models and metrics. Since the GFCy is an unobservable concept, we use two methods to represent it: directly observable variables in center economies often linked to it, such as the VIX; and indirect manifestations, proxied by common dynamic factors extracted from actual capital flows. Our evidence seems mostly inconsistent with a significant and conspicuous GFCy; both methods combined rarely explain more than a quarter of the variation in capital flows. Succinctly, most variation in capital flows does not seem to be the result of common shocks nor stem from observables in a central country like the United States.

A comprehensive examination of policy measures intended to help emerging markets contend with large and volatile capital flows. While always episodic in nature, capital flows to emerging market economies have been especially volatile since the global financial crisis. After peaking at $680 billion in 2007, flows to emerging markets turned negative at the onset of crisis in 2008, then rebounded only to recede again during the U.S. sovereign debt downgrade in 2011. Since then, flows have continued to swing wildly, leaving emerging market policy makers wondering whether they can put in place policies during the inflow phase that will soften the blow when flows subsequently recede. This book offers the first comprehensive treatment of policy measures intended to help emerging markets contend with large and volatile capital flows. The authors, all IMF experts, explain that, in the spirit of liberalization and deregulation in the 1980s and 1990s, many emerging market governments eliminated capital inflow controls along with outflow controls. By 2012, however, capital inflow controls were again acknowledged as legitimate policy tools. Focusing on the macroeconomic and financial-stability risks associated with capital flows, the authors combine theoretical and empirical analysis to consider the interaction between monetary, exchange rate, macroprudential, and capital control policies to mitigate these risks. They examine the effectiveness of various policy tools, discuss the practical considerations and multilateral implications of their use, and provide concrete policy advice for dealing with capital inflows.

We document the behavior of macro and credit variables during episodes of capital inflows reversals in economies with different degrees of exchange rate flexibility. We find that exchange rate flexibility is associated with milder credit growth during the boom but, even though smaller than in more rigid regimes, it cannot shield the economy from a credit reversal. Furthermore, we observe what we dub as a recovery puzzle: credit growth in economies with more flexible exchange rate regimes remains tepid well after the capital flow reversal takes place. This results stress the complementarity of macro-prudential policies with the exchange rate regime. More flexible regimes could help smoothing the credit cycle through capital surchages and dynamic provisioning that build buffers to counteract the credit recovery puzzle. In contrast, more rigid exchange rate regimes would benefit the most from measures to contain excessive credit growth during booms, such as reserve requirements, loan-to-income ratios, and debt-to-income and debt-service-to-income limits.

In recent years, portfolio flows to emerging markets have become increasingly large and volatile. Using weekly portfolio fund flows data, the paper finds that their short-run dynamics are driven mostly by global “push” factors. To what extent do these cross-border flows and global risk aversion drive asset volatility in emerging markets? We use a Dynamic Conditional Correlation (DCC) Multivariate GARCH framework to estimate the impact of portfolio flows and the VIX index on three asset prices, namely equity returns, bond yields and exchange rates, in 17 emerging economies. The analysis shows that global risk aversion has a significant impact on the volatility of asset prices, while the magnitude of that impact correlates with country characteristics, including financial openness, the exchange rate regime, as well as macroeconomic fundamentals such as inflation and the current account balance. In line with earlier literature, portfolio flows to emerging markets are also found to affect the level of asset prices, as was the case in particular during the global financial crisis.