907 resultados para Good-level real exchange rate


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The paper analyzes Brazil's Real Plan, an exchange-rate based stabilization program, implemented in 1994, which mixed a spectacular price stabilization with some serious macroeconomic destabilization. The paper focuses on two of these imbalances: the consumption boom and the financial destabilization; showing that the former represented nothing the reverse side of a collapsed investment boom, which, in turn, led to the financial (banking) crisis. We hold that these instabilities were produced by a policy arrangement in which monetary and fiscal policies alone had to compensate for a largely appreciated, almost fixed, exchange rate anchor. (C) 2000 Elsevier Science Ltd. All rights reserved.

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Incluye Bibliografía

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This paper analyzes the Real Plan and its effects on two administrations of President Fernando Henrique Cardoso (FHC), a period which extends from 1995 to 2002. To this end, the study includes a brief review of the problems faced by previous plans, especially the Cruzado Plan and the reasons for the belief that it has been successfull in relation to inflation control. Additionally, seeking to describe the process of moving to the new currency towards stabilization, the paper describes the theoretical foundations of the Plan. In sequence, it defines the backround of both international and domestic monetary reform which was one important part of the Plan and therefore the reasons for the implementation of the monetary reform. Subsequently the paper deals with the effects of the Plan on the economy as a whole, covering also the way the economic measures were taken concerning the Mexican and Asian crisis, the policies used fot the exchange rate, interest rate, fiscal accounts, balance of payments, among other factors and the relationship between them. Hence, it describes the immediate and the long-term consequences of stabilization program in terms of output, employment, public deficit and debt. Therefore, it is important to note the various junctures to which the economy was exposed, and also to point out the challenges and obstacles arising from these changes for growth, which was sometimes fast, sometimes slowing down - the so-called stop and go. Of course, facts as the moving to floating exchange rate regime, the adoption of inflation targeting regime and the adoption of fiscal responsibility law along with the primary surplus policy were able to create a new economic environment and to contribute to later success of the Cardoso years

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We study the labor market effects of realignment in fixed bilateral exchange rates, such as China's peg to the US dollar. We employ the open economy model by de Melo and Robinson to identify the core parameters of the real, trade side of the economy driving the unemployment effects of bilateral exchange rate realignment. A small open economy version of the model is explored analytically and a large multicountry version numerically. Analytics in the small open economy model show that unemployment effects of adjusting of a bilateral peg hinge on the fraction exported to and imported from the trading partner. A larger fraction exported to and a smaller fraction imported from the trading partner make it more likely that revaluation of a trading partner's currency has beneficial effects. Numerics in the large economy model show that Chinese revaluation can generate both positive and negative unemployment effects depending upon underlying parameter values. Adverse unemployment effects can go along with an improving trade balance.

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Despite the extensive work on currency mismatches, research on the determinants and effects of maturity mismatches is scarce. In this paper I show that emerging market maturity mismatches are negatively affected by capital inflows and price volatilities. Furthermore, I find that banks with low maturity mismatches are more profitable during crisis periods but less profitable otherwise. The later result implies that banks face a tradeoff between higher returns and risk, hence channeling short term capital into long term loans is caused by cronyism and implicit guarantees rather than the depth of the financial market. The positive relationship between maturity mismatches and price volatility, on the other hand, shows that the banks of countries with high exchange rate and interest rate volatilities can not, or choose not to hedge themselves. These results follow from a panel regression on a data set I constructed by merging bank level data with aggregate data. This is advantageous over traditional studies which focus only on aggregate data.

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We develop a portfolio balance model with real capital accumulation. The introduction of real capital as an asset as well as a good produced and demanded by firms enriches extant portfolio balance models of exchange rate determination. We show that expansionary monetary policy causes exchange rate overshooting, not once, but twice; the secondary repercussion comes through the reaction of firms to changed asset prices and the firms' decisions to invest in real capital. The model sheds further light on the volatility of real and nominal exchange rates, and it suggests that changes in corporate sector profitability may affect exchange rates through portfolio diversification in corporate securities.

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This paper investigates how exchange rates affect the utilization of a free trade agreement (FTA) scheme in trading. Changes in exchange rates affect FTA utilization by two ways. The first way is by changing the excess profits gained by utilizing the FTA scheme, and the second way is by promoting the compliance of rules of origin. Our theoretical models predict that the depreciation of exporters' currency against that of importers enhances the likelihood of FTA utilization through those two channels. Furthermore, our empirical analysis, which is based on rich tariff-line-level data on the utilization of FTA schemes in Korea's imports from ASEAN countries, supports the theoretical prediction. We also show that the effects are smaller for more differentiated products.

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Since the abolition of the official peg and the introduction of a managed float in April 2012, the Central Bank of Myanmar has operated the daily two–way auctions of foreign exchange aimed at smoothing exchange rate fluctuations. Despite the reforms to the foreign exchange regime, however, informal trading of foreign exchange remains pervasive. Using the daily informal exchange rate and Central Bank auction data, this study examines the impacts of auctions on the informal market rate. First, a VAR analysis indicates that the official rate did not Granger cause the informal rate. Second, GARCH models indicate that the auctions did not reduce the conditional variance of the informal rate returns. Overall, the auctions have only a quite modest impact on the informal exchange rate.

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A novel method is reported, whereby screen-printed electrodes (SPELs) are combined with dispersive liquid–liquid microextraction. In-situ ionic liquid (IL) formation was used as an extractant phase in the microextraction technique and proved to be a simple, fast and inexpensive analytical method. This approach uses miniaturized systems both in sample preparation and in the detection stage, helping to develop environmentally friendly analytical methods and portable devices to enable rapid and onsite measurement. The microextraction method is based on a simple metathesis reaction, in which a water-immiscible IL (1-hexyl-3-methylimidazolium bis[(trifluoromethyl)sulfonyl]imide, [Hmim][NTf2]) is formed from a water-miscible IL (1-hexyl-3-methylimidazolium chloride, [Hmim][Cl]) and an ion-exchange reagent (lithium bis[(trifluoromethyl)sulfonyl]imide, LiNTf2) in sample solutions. The explosive 2,4,6-trinitrotoluene (TNT) was used as a model analyte to develop the method. The electrochemical behavior of TNT in [Hmim][NTf2] has been studied in SPELs. The extraction method was first optimized by use of a two-step multivariate optimization strategy, using Plackett–Burman and central composite designs. The method was then evaluated under optimum conditions and a good level of linearity was obtained, with a correlation coefficient of 0.9990. Limits of detection and quantification were 7 μg L−1 and 9 μg L−1, respectively. The repeatability of the proposed method was evaluated at two different spiking levels (20 and 50 μg L−1), and coefficients of variation of 7 % and 5 % (n = 5) were obtained. Tap water and industrial wastewater were selected as real-world water samples to assess the applicability of the method.

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This note takes a look at the development of monetary aggregates and debt in the G7 (US, UK, France, Germany, Italy, Canada and Japan), plus non-G7 euro-area countries, which have an important bearing on the future development of price levels. It also discusses the problem of restoring external competitiveness in the weaker euro-area countries without aggravating their debt burden. The key conclusions are i) monetary and debt developments in the G7 countries point to relatively sluggish growth but do not signal deflation risks and ii) the realignment of ‘internal real exchange rates’ in the euro area will most likely come through a rise in prices in Germany (and a few other stronger countries). The lessons learned in the early 1930s have made a come-back of deflation quite unlikely.

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Thesis (Ph.D.)--University of Washington, 2016-06

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In this paper, the exchange rate forecasting performance of neural network models are evaluated against the random walk, autoregressive moving average and generalised autoregressive conditional heteroskedasticity models. There are no guidelines available that can be used to choose the parameters of neural network models and therefore, the parameters are chosen according to what the researcher considers to be the best. Such an approach, however,implies that the risk of making bad decisions is extremely high, which could explain why in many studies, neural network models do not consistently perform better than their time series counterparts. In this paper, through extensive experimentation, the level of subjectivity in building neural network models is considerably reduced and therefore giving them a better chance of Forecasting exchange rates with linear and nonlinear models 415 performing well. The results show that in general, neural network models perform better than the traditionally used time series models in forecasting exchange rates.