911 resultados para 720103 Exchange rates


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Small potted trees of Spondias purpurea were monitored to determine the costs and controls of flowering and fruiting. The effect of photoperiod, extremes in moisture and temperature, and defoliation were examined. The carbon exchange rates of the leaves, shoots and fruits were determined. Light response curves and diurnal levels were also investigated. $\sp{13}$Carbon labeling was used to determine which plant parts are carbon sinks. Photoperiod induces dormancy and bud activity. Extremes in soil moisture and temperature induce leaf fall. Flowers, fruits, and roots are carbon sinks. The results were used to develop a phenological model with latitude, soil moisture, and air temperature as variables. ^

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This dissertation addressed two broad problems in international macroeconomics and conflict analysis. The first problem in the first chapter looked at the behavior of exchange rate and its interaction with industry-level tradable goods prices for three countries, USA, UK and Japan. This question has important monetary policy implications. Here, I computed to what extent changes in exchange rate affected prices of consumer, producer, and export goods. I also studied the timing of these changes in these prices. My results, based on thirty-four industrial prices for USA, UK and Japan, supported the view that changes in exchange rates significantly affect prices of industrial and consumer goods. It also provided an insight to the underlying economic process that led to changes in relative prices. ^ In the second chapter, I explored the predictability of future inflation by incorporating shocks to exchange rates and clearly specified the transmission mechanisms that link exchange rates to industry-level consumer and producer prices. Employing a variety of linear and state-of-the-art nonlinear models, I also predicted growth rates of future prices. Comparing levels of inflation obtained from the above approaches showed superiority of the structural model incorporating the exchange rate pass-through effect. ^ The second broad issue addressed in the third chapter of the dissertation investigated the economic motives for conflict, manifested by rebellion and civil war for seventeen Latin American countries. Based on the analytical framework of Garfinkel, Skaperdas and Syropoulos (2004), I employed ordinal regressions and Markov switching for a panel of seventeen countries to identify trade and openness factors responsible for conflict occurrence and intensity. The results suggested that increased trade openness reduced high intensity domestic conflicts but overdependence on agricultural exports, along with a lack of income earning opportunities lead to more conflicts. Thereafter, using the Cox Proportional Hazard model I studied “conflict duration” and found that over-reliance on agricultural exports explained a major part of the length of conflicts in addition to various socio-political factors. ^

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This dissertation investigates, based on the Post-Keynesian theory and on its concept of monetary economy of production, the exchange rate behavior of the Brazilian Real in the presence of Brazilian Central Bank's interventions by means of the so-called swap transactions over 2002-2015. Initially, the work analyzes the essential properties of an open monetary economy of production and, thereafter, it presents the basic propositions of the Post-Keynesian view on the exchange rate determination, highlighting the properties of foreign exchange markets and the peculiarities of the Brazilian position into the international monetary and financial system. The research, thereby, accounts for the various segments of the Brazilian foreign exchange market. To accomplish its purpose, we first do a literature review of the Post-Keynesian literature about the topic. Then, we undertake empirical exams of the exchange rate determination using two statistical methods. On the one hand, to measure the volatility of exchange rate, we estimate Auto-regressive Conditional Heteroscedastic (ARCH) and Generalized Auto-regressive Conditional Heteroscedastic (GARCH) models. On the other hand, to measure the variance of the exchange rate in relation to real, financial variables, and the swaps, we estimate a Vector Auto-regression (VAR) model. Both experiments are performed for the nominal and real effective exchange rates. The results show that the swaps respond to exchange rate movements, trying to offset its volatility. This reveals that the exchange rate is, at least in a certain magnitude, sensitive to swaps transactions conducted by the Central Bank. In addition, another empirical result is that the real effective exchange rate responds more to the swaps auctions than the nominal rate.

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Terrestrial ecosystems, occupying more than 25% of the Earth's surface, can serve as

`biological valves' in regulating the anthropogenic emissions of atmospheric aerosol

particles and greenhouse gases (GHGs) as responses to their surrounding environments.

While the signicance of quantifying the exchange rates of GHGs and atmospheric

aerosol particles between the terrestrial biosphere and the atmosphere is

hardly questioned in many scientic elds, the progress in improving model predictability,

data interpretation or the combination of the two remains impeded by

the lack of precise framework elucidating their dynamic transport processes over a

wide range of spatiotemporal scales. The diculty in developing prognostic modeling

tools to quantify the source or sink strength of these atmospheric substances

can be further magnied by the fact that the climate system is also sensitive to the

feedback from terrestrial ecosystems forming the so-called `feedback cycle'. Hence,

the emergent need is to reduce uncertainties when assessing this complex and dynamic

feedback cycle that is necessary to support the decisions of mitigation and

adaptation policies associated with human activities (e.g., anthropogenic emission

controls and land use managements) under current and future climate regimes.

With the goal to improve the predictions for the biosphere-atmosphere exchange

of biologically active gases and atmospheric aerosol particles, the main focus of this

dissertation is on revising and up-scaling the biotic and abiotic transport processes

from leaf to canopy scales. The validity of previous modeling studies in determining

iv

the exchange rate of gases and particles is evaluated with detailed descriptions of their

limitations. Mechanistic-based modeling approaches along with empirical studies

across dierent scales are employed to rene the mathematical descriptions of surface

conductance responsible for gas and particle exchanges as commonly adopted by all

operational models. Specically, how variation in horizontal leaf area density within

the vegetated medium, leaf size and leaf microroughness impact the aerodynamic attributes

and thereby the ultrane particle collection eciency at the leaf/branch scale

is explored using wind tunnel experiments with interpretations by a porous media

model and a scaling analysis. A multi-layered and size-resolved second-order closure

model combined with particle

uxes and concentration measurements within and

above a forest is used to explore the particle transport processes within the canopy

sub-layer and the partitioning of particle deposition onto canopy medium and forest

oor. For gases, a modeling framework accounting for the leaf-level boundary layer

eects on the stomatal pathway for gas exchange is proposed and combined with sap

ux measurements in a wind tunnel to assess how leaf-level transpiration varies with

increasing wind speed. How exogenous environmental conditions and endogenous

soil-root-stem-leaf hydraulic and eco-physiological properties impact the above- and

below-ground water dynamics in the soil-plant system and shape plant responses

to droughts is assessed by a porous media model that accommodates the transient

water

ow within the plant vascular system and is coupled with the aforementioned

leaf-level gas exchange model and soil-root interaction model. It should be noted

that tackling all aspects of potential issues causing uncertainties in forecasting the

feedback cycle between terrestrial ecosystem and the climate is unrealistic in a single

dissertation but further research questions and opportunities based on the foundation

derived from this dissertation are also brie

y discussed.

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Currently, there is increasing use of nanomaterials in the food industry thanks to the many advantages offered and make the products that contain them more competitive in the market. Their physicochemical properties often differ from those of bulk materials, which require specialized risk assessment. This should cover the risks to the health of workers and consumers as well as possible environmental risks. The risk assessment methods must go updating due to more widespread use of nanomaterials, especially now that are making their way down to consumer products. Today there is no specific legislation for nanomaterials, but there are several european dispositions and regulations that include them. This review gives an overview of the risk assessment and the existing current legislation regarding the use of nanotechnology in the food industry.

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Some sectors in Brazil are earning notoriety in the international market, configuring itself in dynamic areas for the Country. The most typical case is the agribusiness. Rio Grande do Norte state has important role, because 90% of the output of the melon exported by Brazil is produced at Assu/Mossoró. The present work planned to verify the evolution of the culture of the melon produced at Assu/Mossoró area, from 1990 to 2003. Through descriptive research, utilizing the case study and documentary analysis of secondary data this work showed the evolution of the area reaped of melon in the pole Assu/Mossoró, the quantity produced of melon and of the value of the output of the melon between 1990 and 2003. The research verified that all of the factors studied show growth during the analyzed period, showing up the importance of the agribusiness for the region. However the analysis shows the vulnerability of the sector concerning external macroeconomics factors, such as the exchange rates. Showing the importance and/or dependence of the producers for public actions to development of the culture, that might be on areas like infrastructure, economics or taxes

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This study is aimed to model and forecast the tourism demand for Mozambique for the period from January 2004 to December 2013 using artificial neural networks models. The number of overnight stays in Hotels was used as representative of the tourism demand. A set of independent variables were experimented in the input of the model, namely: Consumer Price Index, Gross Domestic Product and Exchange Rates, of the outbound tourism markets, South Africa, United State of America, Mozambique, Portugal and the United Kingdom. The best model achieved has 6.5% for Mean Absolute Percentage Error and 0.696 for Pearson correlation coefficient. A model like this with high accuracy of forecast is important for the economic agents to know the future growth of this activity sector, as it is important for stakeholders to provide products, services and infrastructures and for the hotels establishments to adequate its level of capacity to the tourism demand.

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Some sectors in Brazil are earning notoriety in the international market, configuring itself in dynamic areas for the Country. The most typical case is the agribusiness. Rio Grande do Norte state has important role, because 90% of the output of the melon exported by Brazil is produced at Assu/Mossoró. The present work planned to verify the evolution of the culture of the melon produced at Assu/Mossoró area, from 1990 to 2003. Through descriptive research, utilizing the case study and documentary analysis of secondary data this work showed the evolution of the area reaped of melon in the pole Assu/Mossoró, the quantity produced of melon and of the value of the output of the melon between 1990 and 2003. The research verified that all of the factors studied show growth during the analyzed period, showing up the importance of the agribusiness for the region. However the analysis shows the vulnerability of the sector concerning external macroeconomics factors, such as the exchange rates. Showing the importance and/or dependence of the producers for public actions to development of the culture, that might be on areas like infrastructure, economics or taxes

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The Marshall-Lerner condition, the J-curve and S-curve have emerged as theoretical and empirical foundations developed for the study of the interaction between exchange rates and international patterns of bilateral trade -- They have a significant bearing on thedevelopment of public policy, and are of equal interest to the academic and professional communities -- The most recently developed of these theories, the S-Curve, is named after the theorized short-run behavior to be found in the cross-correlation function of the real exchange rate and the trade balance -- Considering this theoretical context, the paper seeks empirical evidence of the existence of the S-Curve in the bilateral trade in commodity and non-commodity goods between Colombia and the United States and Venezuela, its main trading partners, for the yearly quarters between 1994:1 and 2009:4

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This paper analyzes import diversification in an aggregated perspective -- Using a dataset for 60 countries covering the period 1995-2010, we study the main determinants of import diversification -- We expect to contribute to the current literature, taking into account that there have been few empirical studies addressing import diversification and more specifically, at the cross-country level -- We take into account variables classified into four categories: Structural factors, macroeconomic factors, international trade factors and political factors -- We find robust evidence that total factor productivity (TFP), capital stock, real Exchange rates and terms of trade are key drivers of import diversification -- On the other hand, domestic consumption and trade openness exert an effect leading to import concentration -- We interpret this finding, taking into account the theoretical framework provided by the international trade and growth theories

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A eficiência dos mercados tem sido uma questão que tem despertado muito interesse no campo dos investimentos e da investigação financeira durante as últimas décadas, mas nos últimos anos com a intensificação dos estudos e surgimento de evidências da existência de comportamentos anómalos nas rentabilidades dos ativos financeiro, esta teoria passou a ser questionada no meio académico. A discussão do tema é ainda muito polémico, pois existem de um lado os defensores da hipótese de eficiência que defendem que as anomalias identificadas não podem ser generalizadas e não são consistentes ao longo do tempo, e de outro lado os defensores da corrente das finanças comportamentais, segundo os quais as anomalias são provocadas por padrões documentados de comportamento irracional dos investidores, sendo que estes comportamentos são inconsistentes com a teoria de eficiência dos mercados. Entre as anomalias detetadas, destacam-se as anomalias de Calendário, tais como o efeito Janeiro, efeito dia da semana, efeito feriado, entre outros; anomalias na valorização de ativos, tais como o efeito tamanho e outras anomalias de sobre reação. O efeito dia da semana é dos mais persistentes detetados em vários mercados internacionais e tendo em conta este cenário, o objetivo desta dissertação é a verificação da existência das anomalias de calendário, mais precisamente o efeito dia da semana onde se irá analisar o efeito segunda-feira, efeito sexta-feira, o efeito fim-de­ semana. Para esta verificação foram utilizadas as cotações diárias médias do Índice da Bolsa de Valores de Cabo Verde, no período de finais de 2005 a finais de 2008. A análise estatística dos resultados diários indicou que não existem evidências da existência do efeito dia da semana. ABSTRACT: The markets efficiency has been an issue of particular interest in the field of financial investigation in recent decades. However, due to the intensification of the studies and the arise of evidences about the existence of abnormal behaviours on financial assets returns, over the last years, this theory begun to be discussed in academic circles. The debate of this theme is still very controversial, because on one hand there are the defenders of the efficiency hypothesis, who defend that identified anomalies cannot be generalized and are not consistent in the long-term; on the other hand, there are the defenders of behavioral finance tendency, to whom the anomalies are caused by documented patterns about the irrational behaviour of investors. These behaviours are inconsistent with the markets efficient theory. Among the detected anomalies, we highlight the calendar anomalies, such as: the January effect, the day of week effect and holiday effect among others; anomalies over the valuation of assets, such as: the size effect and other anomalies on the reaction. The day of week effect is one of the most persistent effect detected in several international markets, and due to this scenario, the objective of this essay is the finding of calendar abnormalities, namely the day of week effect, where the Monday, the Friday and the weekend effects will be analyzed. For this checking, we used the average daily exchange rates from the prices of the Cape Verde Stock Exchange, for the period from late 2005 to late 2008. The statistical analysis of daily results indicated that there is no evidence of the existence of the day of the week effect.

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At head of title:23d Congress,2d session. Doc.No.71. Ho.of Reps. Treas.Dept.