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Frankel, Jeffrey

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Frankel

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Frankel, Jeffrey

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Now showing 1 - 6 of 6
  • Publication

    Can Leading Indicators Assess Country Vulnerability? Evidence from the 2008-09 Global Financial Crisis

    (Elsevier, 2012) Frankel, Jeffrey; Saravelos, George

    This paper investigates whether leading indicators can help explain the cross-country incidence of the 2008-09 financial crisis. Rather than looking for indicators with specific relevance to the current crisis, the selection of variables is driven by an extensive review of more than eighty papers from the previous literature on early warning indicators. The review suggests that central bank reserves and past movements in the real exchange rate were the two leading indicators that had proven the most useful in explaining crisis incidence across different countries and crises in the past. For the 2008-09 crisis, we use six different variables to measure crisis incidence: drops in GDP and industrial production, currency depreciation, stock market performance, reserve losses, and participation in an IMF program. We find that the level of reserves in 2007 appears as a consistent and statistically significant leading indicator of who got hit by the 2008-09 crisis, in line with the conclusions of the pre-2008 literature. In addition to reserves, recent real appreciation is a statistically significant predictor of devaluation and of a measure of exchange market pressure during the current crisis. So is the exchange rate regime. We define the period of the global financial crisis as running from late 2008 to early 2009, which probably explains why we find stronger results than earlier papers such as Obstfeld, Shambaugh and Taylor (2009, 2010) and Rose and Spiegel (2009a,b) which use annual data.

  • Publication

    Monetary Policy in Emerging Markets: A Survey

    (John F. Kennedy School of Government, Harvard University, 2011) Frankel, Jeffrey

    The characteristics that distinguish most developing countries, compared to large industrialized countries, include: greater exposure to supply shocks in general and trade volatility in particular, procyclicality of both domestic fiscal policy and international finance, lower credibility with respect to both price stability and default risk, and other imperfect institutions. These characteristics warrant appropriate models. Models of dynamic inconsistency in monetary policy and the need for central bank independence and commitment to nominal targets apply even more strongly to developing countries. But because most developing countries are price-takers on world markets, the small open economy model, with nontraded goods, is often more useful than the two-country two-good model. Contractionary effects of devaluation are also far more important for developing countries, particularly the balance sheet effects that arise from currency mismatch. The exchange rate was the favored nominal anchor for monetary policy in inflation stabilizations of the late 1980s and early 1990s. After the currency crises of 1994-2001, the conventional wisdom anointed Inflation Targeting as the preferred monetary regime in place of exchange rate targets. But events associated with the global crisis of 2007-09 have revealed limitations to the choice of CPI for the role of price index. The participation of emerging markets in global finance is a major reason why they have by now earned their own large body of research, but it also means that they remain highly prone to problems of asymmetric information, illiquidity, default risk, moral hazard and imperfect institutions. Many of the models designed to fit emerging market countries were built around such financial market imperfections; few economists thought this inappropriate. With the global crisis of 2007-09, the tables have turned: economists should now consider drawing on the models of emerging market crises to try to understand the unexpected imperfections and failures of advanced-country financial markets.

  • Publication

    Can Leading Indicators Assess Country Vulnerability? Evidence from the 2008-09 Global Financial Crisis

    (John F. Kennedy School of Government, Harvard University, 2011) Frankel, Jeffrey; Saravelo, George

    This paper investigates whether leading indicators can help explain the cross-country incidence of the 2008-09 financial crisis. Rather than looking for indicators with specific relevance to the current crisis, the selection of variables is driven by an extensive review of more than eighty papers from the previous literature on early warning indicators. The review suggests that central bank reserves and past movements in the real exchange rate were the two leading indicators that had proven the most useful in explaining crisis incidence across different countries and crises in the past. For the 2008-09 crisis, we use six different variables to measure crisis incidence: drops in GDP and industrial production, currency depreciation, stock market performance, reserve losses, and participation in an IMF program. We find that the level of reserves in 2007 appears as a consistent and statistically significant leading indicator of who got hit by the 2008-09 crisis, in line with the conclusions of the pre-2008 literature. In addition to reserves, recent real appreciation is a statistically significant predictor of devaluation and of a measure of exchange market pressure during the current crisis. So is the exchange rate regime. We define the period of the global financial crisis as running from late 2008 to early 2009, which probably explains why we find stronger results than earlier papers such as Obstfeld, Shambaugh and Taylor (2009, 2010) and Rose and Spiegel (2009a,b) which use annual data.

  • Publication

    The Forward Market in Emerging Currencies: Less Biased than in Major Currencies

    (John F. Kennedy School of Government, Harvard University, 2009) Frankel, Jeffrey; Poonawala, Jumana

    Many studies have replicated the finding that the forward rate is a biased predictor of the future change in the spot exchange rate. Usually the forward discount actually points in the wrong direction. But, at least until recently, those studies applied only to advanced economies and major currencies. We apply the same tests to a sample of 14 emerging market currencies. We find a smaller bias than for advanced country currencies. The coefficient is on average positive, i.e., the forward discount at least points in the right direction. It is never significantly less than zero. To us this suggests that a time-varying exchange risk premium may not be the explanation for traditional findings of bias. The reasoning is that emerging markets are probably riskier; yet we find that the bias in their forward rates is smaller. Emerging market currencies probably have more easily-identified trends of depreciation than currencies of advanced countries.

  • Publication

    On Global Currencies

    (John F. Kennedy School of Government, Harvard University, 2009) Frankel, Jeffrey

    I approach the state of global currency issues by identifying eight concepts that I see as having recently “peaked” and eight more that I see as currently rising in relevance. Those that I see as having already seen their best days are: the G-7, global savings glut, corners hypothesis, proliferating currency unions, inflation targeting (narrowly defined), exorbitant privilege, Bretton Woods II, and currency manipulation. Those that I see as receiving increased emphasis in the future are: the G-20, the IMF, SDR, credit cycle, reserves, intermediate exchange rate regimes, commodity currencies, and multiple international currency system.

  • Publication

    Over-optimism in Forecasts by Official Budget Agencies and its Implications

    (Oxford University Press, 2011) Frankel, Jeffrey

    The paper studies forecasts of real growth rates and budget balances made by official government agencies among 33 countries. In general, the forecasts are found: (i) to have a positive average bias, (ii) to be more biased in booms, and (iii) to be even more biased at the 3-year horizon than at shorter horizons. This over-optimism in official forecasts can help explain excessive budget deficits, especially the failure to run surpluses during periods of high output: if a boom is forecasted to last indefinitely, retrenchment is treated as unnecessary. Many believe that better fiscal policy can be obtained by means of rules such as ceilings for the deficit or, better yet, the structural deficit. But we also find: (iv) countries subject to a budget rule, in the form of euroland’s Stability and Growth Pact (SGP), make official forecasts of growth and budget deficits that are even more biased and more correlated with booms than do other countries. This effect may help explain frequent violations of the SGP. The question becomes how to overcome governments’ tendency to satisfy fiscal targets by wishful thinking rather than by action. Chile in 2000 created structural budget institutions that may have solved the problem. Independent expert panels, insulated from political pressures, are responsible for estimating the long-run trends that determine whether a given deficit is deemed structural or cyclical. The result is that Chile’s official forecasts of growth and the budget have not been overly optimistic, even in booms. Unlike many countries in the North, Chile took advantage of the 2002–7 expansion to run budget surpluses, and so was able to ease in the 2008–9 recession.