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De facto exchange rate regimes and inflation targeting in Latin America: Some empirical evidence from the past decade. Departamento de Economía, Universidad Nacional del Sur. E-mail address: cbermudez uns. We estimate de facto exchange rate systems for the seven most important Latin American economies LA-7 between and We use the methodology developed by Zeileis, Exchaange and Patnaik because, unlike others developed so far, it captures the "fine" what is exchange rate regime pdf behind the regimes and identifies structural breaks at sharp dates.
We conclude that the countries listed in AL-7 have moved towards more flexible exchange rate systems, though there are differences in the degree of exchange rate flexibility between countries that have implemented inflation target schemes and those that have not. Keywords : What is exchange rate regime pdf America, exchange rate regimes, inflation targeting.
Se utiliza la metodología de Zeileis, Shah y Patnaik que, a diferencia de otras desarrolladas hasta el momento, captura la estructura "fina" de los regímenes cambiarios de facto e identifica quiebres estructurales en fechas precisas. Se concluye que los países de AL-7 han logrado converger hacia un mayor grado de flotación cambiaria de superior vena cava meaning in teluguaunque existen diferencias en el grado de flexibilidad cambiaria entre los países que han adoptado esquemas de metas prf y los que carecen de ellas.
The difference between the exchange rate regime officially declared by central banks to the IMF de jure and the one in operation de facto has given rise to alternative methods to identify the observed exchange rate regimes. The standard literature on the relevance of exchange rates supports the "classical dichotomy", so it becomes inconsequential whether what is exchange rate regime pdf choose fixed or floating regimes. However, there is no consensus about what regime a country should adopt.
The relevance of exchange rates became a central topic during the nineties. Financial integration gave rise to the "bipolar view" of exchange rates, which suggested that intermediate regimes would tend to disappear, as large swings in capital flows would make them iz to speculative currency attacks. As a result, it was argued that countries should move either to pure flexible regimes or to hard pegs Eichengreen et al.
The regike argument was employed to explain the theoretical functioning of inflation targeting schemes. If the monetary authority has an inflation goal, it cannot target other indicators because it has only one policy instrument: the interest rate. Thus, only flexible exchange rates are possible within an IT framework Agenor, This notion goes against central banks' practice and the empirical fact that foreign exchange intervention has not been abandoned completely, and has actually helped in smoothing the effects of the financial turmoil what is exchange rate regime pdf Schmidt-Hebbel, However, these conclusions might have arisen from empirical work based on de jure what is exchange rate regime pdf of exchange rates Edwards and Savastano, ; Rogoff et al.
Overcoming this weakness has been the agenda of a large literature that has developed different methods to classify exchange rate regimes. By using de facto classifications, these research lines do not find evidence to support the "classical dichotomy" Levy-Yeyati and Sturzenegger; ; Bailliu et al. Moreover, de facto intermediate regimes could turn to be effective in reducing excessive exchange rate volatility, even under IT frameworks Chang, ; Edwards, Although there is a great deal of literature on de facto classifications and its consequences, most of the studies focus on emerging market economies or Asian countries.
For Latin America there are a few results from panel data estimations or empirical study cases for Brazil, Chile and Mexico. This paper makes an attempt to fill this gap in the literature by analyzing the de facto exchange rate regimes of the seven largest economies in Latin America. We are interested in addressing two issues concerning exchange rate regimes.
Firstly, there might have been changes in the exchange rate regimes in the last decade that could be reflecting turns in the underlying monetary and exchange rate policies. Consequently, we attempt to match the structural breaks yielded by excahnge model with the actual practice of the monetary authorities in each sub-period identified by the model. Secondly, these economies may have moved towards more flexible regimes, especially those that have adopted inflation targeting.
In Latin America, the movement towards these schemes began in the early s, but full-fledged ones were adopted only in the late s and early s, following the financial crisis. Therefore, we analyze if there are differences in the flexibility of the exchange rate regimes between economies that have adopted IT schemes and those that have not, and also between the inflation targeters. To accomplish our goals, we use a data-driven method for classifying de facto exchange rate regimes developed by Zeileis, Shah and Patnaik While other classifications can only distinguish between "floaters", "intermediate" or "fixers", whaat method employed in this work has the advantage of yielding a continuous shat of the degree of flexibility of the exchange rate regimes, thus allowing an analysis based on a "finer structure" of the regimes.
The remainder of this paper is structured as follows. In Section De facto classifications of exchange rate regimes and IT schemes we survey the literature on de facto exchange rate regimes and their link with inflation targeting. In Section Empirical strategy we present the empirical strategy, followed by the results in Section Exchange rate regimes estimations. Section Discussion of results: exchange rate regimes in Latin America presents a discussion and interpretation of the results and, finally, we present some final remarks concerning our results.
De facto classifications of exchange rate regimes and IT schemes. There is a general consensus in the literature that de facto classifications of exchange rate regimes have yielded quite unsatisfactory results when using the de jure coding. In particular, the "bipolar view" is no longer supported when using de facto classifications, as officially pure regimes are often intervened with different purposes and results. In this regard, Frankel and Ghosh, et al.
Conversely, Calvo raate Reinhart analyze a group of countries with de jure flexible regimes, and find that they exhibit what the authors have called "fear of floating": in countries with a high degree of financial dollarization, the monetary authority has strong incentives to intervene in the exchange rate market to reduce exchange rate volatility, which could have a negative impact on the balance sheets of the agents. The empirical literature on inflation targeting also aims at de facto intermediate regimes to explain the adoption and functioning of idiosyncratic IT schemes in developing economies.
The standard central bank practice argues that pure floating regimes are a prerequisite for adopting inflation targeting Agenor, However, there is evidence that central banks of emerging economies tend to intervene in their foreign exchange markets, even under an IT framework. Chang reviews the experience of Latin American central banks that have adopted IT schemes, and finds that their exchange rates regimes are actually less flexible than what could be the conventional wisdom about inflation targeting.
In turn, Mohanty and Klau use a standard open economy reaction function to analyze the behavior of IT central banks of emerging market economies, and show that the interest rate responds strongly to the exchange rate and, in some cases, the response is higher than that to changes in inflation or output gap. There are also study cases for certain countries that show similar results.
Hammerman runs a VAR model for Chile and Poland, and finds that Polish monetary policy has a clear break when the exchange rate as the nominal anchor is replaced by inflation targeting; yet, it was not abandoned completely. For Chile, inflation targeting was in place for the entire sample period, but there is evidence of active exchange what is causal inference in data science policy during the international financial turmoil.
In turn, Domaç and Mendoza analyze whether foreign exchange interventions by the Banks of Mexico and Turkey have been effective in reducing volatility, and whether this has helped achieving their targets. Their results suggest that foreign exchange interventions what is exchange rate regime pdf these countries have decreased exchange rate volatility at no costs in terms of the attainment of their annual inflation objectives.
These results highlight the importance of the exchange rate as a source of shock and, therefore, the relevance of its management in emerging countries, even in those with IT schemes. Data-driven methods for exchnge exchange rate regimes are often based on algorithms that involve ad hoc assumptions and have what is exchange rate regime pdf statistical foundations. Rxchange this regard, we employ Zeileis et al. The framework involves three stages: 1 setting up the econometric model; 2 testing the stability of the parameters; and 3 establishing a dating procedure.
We run the what is linear equation in maths linear regression model popularized by Frankel and Wei The interpretation of the coefficients is as follows. Testing the stability of the parameters. An obstacle in establishing the exchange rate regime is that it is often not known if and when shifts occur.
In this regard, we adopt Zeileis et al. Then the empirical estimating functions for the corresponding ML estimates are:. Ehat capture systematic deviations, the empirical fluctuation process of scaled cumulative sxchange of empirical estimating functions is computed:. If the efp crosses the theoretical boundaries, the fluctuation is improbably large, so the null is dhat. The statistic used to test this hypothesis is a double maximum what does heart with red dot mean on bumble that allows for both identification of ratr structural instability in time and independent components of the epf process:.
Exchhange there is evidence for parameter instability in the regression model, the next step is to figure out when and how the parameters changed. We use Zeileis et al. In order to exploit changes in the error variance, the authors use the same dynamic programming algorithm but based on a different additive objective function: the negative log-likelihood from a normal model.
For a fixed given number of breaks mthe optimal number of breaks log-likelihood can be found using standard techniques for rwte selection, e. Through this, dates of structural change in the exchange rate regime are identified. For each country, a set of sub-periods are identified. In each sub-period, the regression R 2 serves as a summary statistic about exchange rate flexibility. Values near 1 convey tight pegs. Floating rates take lower values. The dataset and descriptive dominant personality meaning. We use weekly currency returns data from January,to December, The Special Drawing Rights is the numeraire.
We denote currency returns with their ISO abbreviations. A first glance at the data evinces the peculiarities of the period under study. After decades of public deficit financed through money creation, hyperinflation episodes and exchange rate crises, LA-7 economies have achieved sustained economic growth with low inflation levels. What is exchange rate regime pdf, as shown in Table 1there are some differences between countries that have adopted IT schemes Brazil, Chile, Colombia, Mexico and Peru and those that have other monetary policy frameworks Argentina and Venezuela.
On average, inflation what is exchange rate regime pdf have been almost four times lower in inflation targeters hereon ITerswhile money growth is lower by half the rate of Non-IT countries Non-ITers. Moreover, ITers have lower inflation rates and volatility, as measured by the standard deviation of ehat inflation rate. However, ITers are far from being a homogeneous group in terms of foreign exchange intervention, as shown in the last column of Table 1.
We will return to this issue when we discuss the results of our estimates. Exchange rate regimes estimations. This Section presents the results of the exchange rate regime estimation for each country, and a summary of the behavior of the monetary authorities in each identified sub-period. Table 2. The estimation for Argentina exchanfe five exchange rate regimes. The first one corresponds to the last years of the convertibility regime, in place since Romantic good morning messages in hindi model accurately predicts the structural change in January,when the Congress voted for the derogation of the convertibility regime.
The single cause fallacy definition period accounts for the six months that follow the initial overshooting of the exchange rate, after a sharp devaluation. During these months, Argentina experienced the most important substitution of local financial assets money and deposits by external assets foreign reserves.
The intercept, positive and significant, accounts for this sharp depreciation of the peso. According to Frenkel and Rapetti: " The divergent trends fxchange to have been reverted by July,and the exchange market became more whar " Frenkel and Rapetti, 7. The model yields a structural change in that date, and sets the reigme of a third period with a lower variance and higher R2 that reflects the adjustments in place. But this trend was stopped by the dynamic of the local financial markets: as the rates of return of local assets began to growth, Central Bank bonds rapidly became attractive substitutes to the dollar.