In this paper, we have employed non-linear model reexamine real interest parity (RIP) of five European economies with respect to the US. We focus on using linear and nonlinear unit root tests to test real interest rate differentials (RIRD). And we add time trend in the logistic and exponential smooth transition regression models to monthly data. The results are as follows. First, the evidence for the full-sample is favorable using three traditional unit root tests and one powerful nonlinear unit root test. Almost all economics are support real interest parity. Second, we use nonlinear error correction model to find which factors influence on RIRD. There are three economics influenced by both domestic and foreign factors at the same time.

-Les dynamiques du taux de change en présence de frictions sur les marchés financiers.Cette analyse est une extension du modéle du surajustement « Overshooting » de Dornbusch. Il s'éloigne du modéle de base en faisant l'hypothèse que les marchés financiers ne s'ajustent pas instantanément, « generalised interest parity condition ». Le modele de taux de change sous cette hypothèse, reproduit le surajustement retarde du taux de change nominal. Notre modele arrive aussi a capturer la variation en forme de bosse du taux de change reel et suite a un choc monetaire.-Électorale Cycle de taux de change en CoréeCe papier analyse empiriquement les variations du taux de change reel en Coree du Sud, a l'approche des elections et un peu apres de celles-ci. Nous remarquons que le taux de change baisse juste avant les election mais nous n'avons pu deceler de tendance nette apres. Ce resultat est a l'oppose de celui trouve lors de l'étude des cycles électorales en Amérique latine. Nous expliquons cette divergence par des différences dans la structure économique entre la Corée du Sud et les pays d'Amerique latine-Le régime de change, l'ouverture des marchés de la capitale et de la politique monétaire; Le trilemme en CoréeCet article teste la proposition trilemme en effectuant une étude empirique de Corée. La Corée possède périodes distinctes de toutes les combinaisons de régime de taux de change et l'ouverture du marché des capitaux dans le trilemme: rattaché au régime de taux de change sous le contrôle des capitaux, rattaché au régime de taux de change sous libre circulation des capitaux et des taux de change flottant régime en vertu libre circulation des capitaux. Nous vérifions si l'autonomie monétaire existe dans chacune des trois combinaisons différentes. Nous constatons que l'autonomie monétaire existé au cours des périodes où les contrôles de capitaux et les périodes de régime de taux de change flottant. Pour les périodes avec le régime de parité fixe et libre circulation des capitaux, l'autonomie monétaire a été limitée. En outre, nous identifions que, juste avant la crise financière, le gouvernement a poursuivi la politique monétaire autonome sous le régime de taux de change arrimé et libre circulation des capitaux, défiant ainsi le trilemme. / -Exchange Rate Dynamics under Financial Market FrictionsThis paper extends Dornbusch's overshooting model by proposing “generalized interest parity condition”, which assumes sluggish adjustment on the asset market. The exchange rate model under the generalized interest parity condition is able to reproduce the delayed overshooting of nominal exchange rates and the hump-shaped response to monetary shocks of both nominal and real exchange rates.-Electoral Cycle of Exchange Rate in KoreaThis paper empirically investigates the real exchange rate behavior around elections in Korea. We find that the real exchange rate depreciates more before the elections but there is no clear pattern found after the elections. Interestingly, this result is the opposite of the electoral cycle found in Latin American countries. To explain this results we should consider the difference between economic backgrounds of Korea and Latin American countries.-Exchange Rate Regime, Capital Market Openness and Monetary Policy; The Trilemma in KoreaThis paper tests the trilemma proposition by performing an empirical study of Korea. Korea has distinct periods of all combinations of exchange rate regime and capital market openness in trilemma: pegged exchange rate regime under capital controls, pegged exchange rate regime under free capital mobility, and floating exchange rate regime under free capital mobility. We check whether monetary autonomy exists in each of the three different combinations. We find that monetary autonomy existed over the periods with capital controls and the periods with floating exchange rate regime. For the periods with the pegged exchange rate regime and free capital mobility, monetary autonomy was limited. In addition, we identify that just before the financial crisis the government pursued autonomic monetary policy under pegged exchange rate regime and free capital mobility, thereby defying the trilemma.

The paper analyses validity of main exchange rate theories in case of the Czech crown. Investigated relationships comprise purchasing power parity, interest rate parity and real interest monetary model. Technical part of the analysis involves cointegration, namely Johansen's method based on vector autoregressive models. Two currency pairs are in the focus: CZK/EUR and CZK/USD. Empirical calculations did not prove the absolute validity of the theories but pointed out to other factors of exchange rate, such as convergence process, impacts on inflation targeting decisions, non-monetarist determinants and the recent financial crisis.

The characteristics of interest rate differentials’ relationships with the change in nominal exchange rates are here investigated from the small open economy Sweden’s pointof view. We assume rational expectations and risk neutrality. However, these are solelysufficient but not necessary conditions. The only necessary condition is that the deviationsfrom rational expectations and risk neutrality are uncorrelated with the interestrate differential (Chinn and Meredith 2004, p. 412). We find no evidence for the interestrate differentials to be unbiased predictors of the percentage change in nominalexchange rates. With 3- and 6-month maturity interest rates, the signs are positivealthough not statistically different from zero.

本文主要在探討在較為短的時間段以及不同的金融環境之下，是否仍然能捕捉到匯率市場中主要解釋投組報酬變動的共同風險因子－平均超額報酬以及利差報酬。我們依據重要金融事件將全樣本分為八個子樣本；總共使用39種幣別並將1983年11月至2015年10月的遠期貼水由小到大排序後，依序建構六個投資組合。全文以美國投資者的觀點出發。結果顯示平均超額報酬無論是在長期或短期的時間段下，仍然為匯率市場中解釋匯率報酬變動的主要風險因子。然而，利差報酬則不然。在銀行危機期間，利差報酬與第二主要成分之相關係數皆為高度負相關。近期自2008年次貸危機開始，利差報酬與解釋投組變動的第二主要成分之相關係數也從先前的0.8~0.9降至-0.80.此結果顯示利差交易似乎在次貸危機之後有所轉變。此外利差風險因子無法有效的解釋動能報酬。 / This paper investigates whether or not the common risk factors, dollar and carry trade risk, in currency markets proposed by Lustig, Roussanov and Verdelhan (2011) will still exist even under a short-run period with a concern of different financial backgrounds. A split of full sample into eight subsamples with respect of financial events is made. A total of 39 currencies is used to build six portfolios on the basis of the forward discounts from November 1983 to October 2015. The whole paper is in the view of an American investor. The finding suggests that under both long-run and short-run period, the dollar return is always the common factor in currency markets. However, it is not the same case for the carry trade return. During bank crises, the carry trade return is strongly negative correlated with the second component. The carry trade return turns out to have a negative correlation with the second component during and after the subprime crisis, decreasing from 0.8~0.9 in the previous subsamples to -0.80. It indicates that the desirability of carry trade activities has changed since the subprime crisis. Besides, the carry trade risk has a little power to explain the variations of momentum returns.

Made available in DSpace on 2016-03-15T19:32:58Z (GMT). No. of bitstreams: 1 Marisa Gomes da Costa.pdf: 2649705 bytes, checksum: 9dfdf2c39e3c4389540dc1f3a8f8d26f (MD5) Previous issue date: 2016-02-01 / This study aims to identify the determinants of Brazil country risk level, during the period from February 1995 to August 2015, based on the deviations from the covered interest rate parity condition. These deviations represent a measure of the risk assumed by an investor who choose to invest in a Brazilian security in Brazil, rather than do it abroad. Using Autometrics, an algorithm for automatic model selection, developed by Doornik (2009), thirty-nine explanatories variables were selected from previous studies. The Brazil country risk level is susceptible to changes in the balance of payments, import by GDP, the deviation covered interest rate parity of the previous period, the inflation rate, the change in exports, total debt per GDP, and external debt by exports. / Este estudo propõe-se a identificar os fatores determinantes do nível do risco Brasil, durante o período de fevereiro de 1995 a agosto de 2015, calculado pelos desvios da condição da paridade coberta de juros. Estes desvios representam a medida do risco assumido por um investidor ao optar investir em um título brasileiro no Brasil, ao invés de fazê-lo no exterior. Utilizando a técnica de seleção automática de modelos com a aplicação do algoritmo Autometrics, desenvolvido por Doornik (2009), trinta e nove variáveis explicativas foram selecionadas a partir de estudos anteriores. O nível do risco Brasil é altamente suscetível às variações do balanço de pagamento, da importação por PIB, do desvio da condição da paridade coberta do período anterior, à taxa de inflação, à variação das exportações (em $ e em volume), à dívida total por PIB e à dívida externa pela exportação.

This work scrutinises, evaluates and systematises the modern exchange rate theories. Its aim is to familiarise the reader with the concepts of expectation, Purchasing Power Parity and Interest Rate Parity, which together form the basis of the following analysis of monetary and portfolio theories of the exchange rate determination. Then, it provides a comparison of the various approaches to these theoretical frameworks with regard to their respective authors. The paper is concluded by an evaluative description of the conditions under which such theories could be applied.

The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.

The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.

The thesis investigates different exchange rate models and their forecasting performance. The work takes previous literature overview and summarize their findings. Despite the significant amount of papers which were done on the topic of exchange rate forecast, basically none of them cannot find an appropriate model which would outperform a forecast of a simple random walk in every horizon or for any currency pair. However, there are some positive findings in specific cases (e.g. for specific pair or for specific time horizon). The study provides up-to-date analysis of four exchange rates (USD/CZK, USD/ILS, USD/GBP and USD/EUR) for the period of time from January 2000 to August 2013 and analyse forecasting performance of seven exchange rate models (uncovered interest rate parity model, purchasing power parity model, monetary model, monetary model with error correction, Taylor rule model, hidden Markov model and ESTAR model). Although, the results are in advantage of Taylor rule model, especially for the exchange rate of USD/CZK, I cannot prove that the forecasting performance is significantly better than the random walk model. Except of the overall analysis, the work suppose instabilities in the time. Stock and Watson (2003) found that the forecast predictability is not stable over time. As a consequence, the econometric model can give us better forecast than random walk process at some period of time, however at other period, the forecasting ability can be worse than random walk. Based on Fluctuation test of Giacomini and Rossi (2010a) every model is analysed how the out-of-sample forecast ability changes over time.