This thesis examines the validity of the cost of carry model for pricing FTSE100 futures contracts and the relationship between FTSE100 spot and futures markets during two sub-periods characterised by different market trading systems employed by the LSE and LIFFE. The empirical work is carried out using three approaches to econometric modeling: a basic VECM for spot and futures prices, a VECM extended with a DCCTGARCH framework to account for the conditional variance-covariance structure for spot and futures prices and a threshold VECM to capture regime-dependent spot-futures price dynamics. Overall, both the basic VECM and the DCC-TGARCH analysis suggest that there are deviations from the cost of carry relationship in the first sub-sample when transactions costs in both markets are relatively high but that the cost of carry relationship tends to be valid in the second sub-sample when transactions costs are lower. This is further confirmed by the evidence of higher conditional correlations between the two markets in the second sub-sample as compared with the first, using the DCC-TGARCH analysis. This implies that the no-arbitrage cost of carry relationship between spot and futures markets is more effectively maintained by index arbitrageurs in the second period when market conditions are closer to perfect market assumptions, and hence the cost of carry model could be more reasonably used as a benchmark for pricing stock index futures. The threshold VECM analysis depicts regime-dependent price dynamics between FTSE100 spot and futures markets and leads to some interesting and important findings: arbitrage may not be practicable under some market conditions, either because it is difficult to find counterparties for the arbitrage transactions, or because there is significant risk associated with arbitrage; as a result, the cost of carry model may not always be suitable for pricing stock index futures. Furthermore, the threshold values yielded from estimating the threshold VECM reflect the average transaction costs for most arbitrageurs that are more reliable and fair than subjective estimations.

This paper focuses on analysing and modelling inflation and its dynamics in Czech Republic applying a special kind of econometric models. Firstly economic theory of inflation is mentioned - fundamental terms, measuring methods of inflation, the way Czech national bank is monitoring the inflation and obviously a short summary of historical evolution of inflation in Czech economy. In the second part of this paper two econometric concepts of modelling time series are introduced - vector autoregression models (VAR models) and volatility models, concretely ARCH and GARCH models. In connection with the VAR models, Granger causality, impulse response functions, cointegration and error correction models are described. The empirical part includes application of selected models on real time series of chosen macroeconomic indicators. The estimation outputs are interpreted and forecasts are implemented. The quality of chosen econometric models for modelling inflation in Czech Republic is discussed.

The main purpose of this study is to empirically assess the relationship between inflation and economic growth in Ethiopia using quarterly dataset from 1992Q1 to 2010Q4. In doing so, an interesting policy issue arises. What is the threshold level of inflation for the Ethiopian economy? Based on the Engle-Granger and Johansen co-integration tests it is found out that there is a positive long-run relationship between inflation and economic growth. The error correction models show that in cases of short-run disequilibrium, the inflation model adjusts itself to its long-run path correcting roughly 40% of the imbalance in each quarter. In addition, based on the conditional least square technique, the estimated threshold model suggests 10% as the optimal level of inflation that facilitates growth. An inflation level higher or lower than the threshold level of inflation affects the economic growth negatively and hence fiscal and monetary policy coordination is vital to keep inflation at the threshold. / Economics / M. Com. (Economics)

A segmentação dos mercados internacionais permite a existência do pricing-to-market, hipótese inicialmente formulada por Krugman (1986). O primeiro objetivo deste trabalho foi testar o pricing-to-market realizado pelos exportadores brasileiros entre 1999 e 2012 utilizando dados para 26 setores industriais. À partir do modelo de Marston (1990), a sua estratégia de identificação adotada foi expandida para ser utilizada em dados em painel e considerar a possibilidade de cointegração entre as variáveis. Modelos de correção de erros em painel foram estimados utilizando diferentes técnicas de estimação, o efeito médio da taxa real de câmbio no longo prazo é de 0.673, ou seja, um aumento de 1% na taxa real de câmbio leva a um aumento de aproximadamente 0.07% nos preços relativos. No curto prazo, o efeito médio da taxa real de câmbio é de 0.233 nos preços relativos. Então há um efeito maior da taxa real de câmbio no longo prazo que no curto prazo. Após encontrar evidências de pricing-to-market nas exportações brasileiras, este estudo testou a assimetria do pricing-to-market através do modelo de painel com parâmetros limiares proposto por Hansen (1999). Foi estudado se a assimetria ou a volatilidade cambial possuem efeitos no nível de pricing-to-market realizado. As evidências encontradas mostram que a taxa real de câmbio possui efeitos assimétricos, há um aumento do pricing-to-market com a desvalorização cambial. / The segmentation of international markets allows the pricing-to-market, hypothesis initially defined by Krugman (1986). The first objective of this work is to test the pricing-to-market held by Brazilian exporters between 1999 and 2012 using data panel for 26 industrial sectors. Using the model proposed by Marston (1990), his identification strategy has been expanded from and consider the possibility of cointegration between the variables. Panel error correction models were estimated using differents estimation techniques, the average effect of the real exchange rate in the long run is 0.673, i.e. an increase of 1% in the real exchange rate leads to an increase of 0.07% in relative prices. In the short term, the average effect of the real exchange rate is 0.233 in relative prices. So there is a higher effect of real exchange rate in the long run than the in the short term. After finding evidence of the Brazilian pricing-to-market, this study tested the asymetric pricingto-market using the panel threshold model proposed by Hansen (1999). It was examined whether the exchange rate asymmetry or the volatility have effects on the level of pricing-tomarket. The evidences shows the real exchange rate has asymmetric effects, there is an increase of brazilian pricing-to-market associated with a depreciated exchange rate.

Cette thèse étudie les déterminants de l’épargne des ménages, à la fois dans leur dimension microéconomique et macroéconomique, en coupe et en panel. L’étude de ces déterminants ne se limite pas au cas français, mais est également étendue à la zone euro, au Royaume-Uni et aux États-Unis. Le premier chapitre introductif rappelle les principaux modèles et théories de l’épargne développés depuis les années 1930, et compare les approches macroéconomique et microéconomique de l’épargne des ménages. Les principales différences entre ces deux approches sont mises en exergue, ainsi que les hypothèses qui sous-tendent le passage du niveau micro au niveau agrégé. Dans un deuxième chapitre, on teste d'abord l’homogénéité des comportements d'épargne en étudiant les liens entre taux d’épargne et revenu (courant et permanent) des ménages français, à partir des données de l'enquête INSEE Budget de famille 2011. On met ensuite empiriquement en évidence et on quantifie une épargne de précaution liée au risque sur le revenu. Dans un troisième chapitre, on s’attache à décrire et à expliquer l’hétérogénéité des comportements d’épargne à l’intérieur et entre les pays européens, à partir des déterminants socio-économiques et des variables de protection sociale. On cherche ainsi à mettre en évidence un effet d'éviction entre épargne publique et épargne privée. Le dernier chapitre exploite la dimension macroéconomique de l'épargne et de la consommation : on passe en revue les principaux déterminants de la consommation (donc de l’épargne), avec une analyse particulière de l’effet de richesse, c’est à dire l’impact du patrimoine financier et immobilier sur le comportement d’épargne. / This PhD dissertation investigates the determinants of households’ savings, both in theirmicro- and macroeconomic dimensions, on cross section and panel data. This analysis is notrestricted to the French case, but also examines the euro area, the United Kingdom and theUnited States. The introduction recalls main models and theories of savings which were developed in the 1930s, and compares the macroeconomic and microeconomic approaches of households’ savings. The main discrepancies between these two approaches are highlighted, as well as the hypotheses which underpin the aggregation of data. In the second chapter, I investigate the relationship between savings rates and (current and permanent) income to test the homogeneity of French households’ behaviours. Then I highlight and measure precautionary savings related to the income risk. In the third chapter, I describe the heterogeneity of savings behaviours within and between European countries, by analyzing social and economic determinants and social protection variables. I try to highlight a crowding-out effect between public and private savings. The last chapter is on the macroeconomic side: the main determinants of consumption (and savings) are scanned, with an emphasis on wealth effect – i.e. the effect of financial wealth and real estate wealth on savings rate.

The question of an equilibrium exchange rate has always been a debatable issue. Along with rapid growth of the Chinese economy over the past two decades, a number of studies have been undertaken to investigate whether or not the RMB exchange rate is at its long run ‘equilibrium’ level. Because the equilibrium exchange rate affects the competitiveness of a country’s economy, these studies have focused on whether or not the real exchange rate is misaligned with respect to its long-run equilibrium level. One of the main reasons for this concern is that effective management of the exchange rate system could help a country’s economy achieve internal and external balance. Otherwise, it could negatively influence the stability of a country’s financial economy, possibly resulting in regional financial crises. This study estimates time varying values of the equilibrium real effective exchange rate (EREER) and associated exchange rate misalignments for China in recent years (from the first quarter of 1999 to fourth quarter of 2007). The study focuses on the reduced-form equilibrium real exchange rate (ERER) model for developing countries presented by Elbadawi (1994) and follows Edwards’ (1989, 1994) work on models of exchange rate determination. We identify the terms of trade, openness, government expenditure, productivity, and money supply as important explanatory variables of the RMB long-run equilibrium value. We use the Johansen-Juselius (1990) co-integration procedure to analyse our data. Using the ERER model, our results show there is a cointegrating relationship between the real effective exchange rate and its economic fundamentals. Subsequently, compare to other previous studies discussed in Chapter 2, our restricted error-correction model suggests that the extent of the misalignment is not very large, moving in a narrow band of plus and minus 12 percent of the long-run equilibrium level during the sample period. Focusing on the RMB real exchange rate misalignment in recent years, our result shows that the RMB was undervalued by an average of 6.7 percent during the period of 2005Q:3-2007Q:4. Furthermore, our short-run empirical error correction model indicates that, on average, the real exchange rate takes over one quarter to reach its long-run equilibrium level.

本文探討匯率不確定性與台灣對中國大陸出口之關係，模型中參考Cushman (1986) 觀點加入第三國變數之效果。研究期間以1997年至2010年之季資料，同時考慮總合資料以及部門別資料，並以GARCH估計實質匯率波動性。第三國則利用出口近似度的計算選擇了前四大競爭國，分別為南韓，日本，馬來西亞及新加坡。此外，部門則以HS二碼分類選擇出口至中國大陸前四大之部門，包括機械與電子、精密儀器、橡膠與塑膠類產品及化學品。 本文檢定變數是否有單根。若有單根則進一步檢定這些變數是否存在共整合關係。在確定存在共整合關係後，利用完全修正最小平方法及誤差修正模型進行估計。本文實證結果顯示：匯率不確定性對出口量有負向之影響關係。就部門而言，本文探討的四個部門之結果也反映匯率不確定性對出口具有負向影響，但是以電子產品及塑膠橡膠類之影響最為顯著。 / This paper investigates the relationship between exchange rate volatility and Taiwan’s exports to Mainland China. In the empirical model, the third country effects suggested by Cushman (1986) are considered. GARCH model is employed to estimate real exchange rate volatility. Both aggregate and sectoral quarterly data covering 1997 to 2010 are used in our sample. The third countries are determined by export similarity. The top 4 countries with the highest degree of export similarity are chosen, including South Korea, Japan, Malaysia and Singapore. In addition, the top 4 Taiwan’s exporting sectors are examined respectively, including machinery and electronic equipment, precision equipment, rubber and plastics, chemicals industries. We first test for unit root of the variables used in the study, and then check the existence of co-integration between the variables with unit root. After confirming the existence of co-integration relationship, we use FMOLS (Fully Modified OLS) and VECM (Vector Error Correction Model) to estimate the coefficients. Our empirical results suggest that there is a significantly negative effect of exchange rate volatility on Taiwan’s total exports. They also indicate that there is a negative relationship between exchange rate volatility and Taiwan’s sectoral exports. Among the top 4 exporting sectors, exchange rate volatility tends to have higher impacts on the machinery and electronic industry as well as chemical industry.

Vektorfehlerkorrekturmodelle (VECM) erlauben es, Abhängigkeiten zwischen den Veränderungen mehrerer potenziell endogener Variablen simultan zu modellieren. Die Idee, ein langfristiges Gleichgewicht gleichzeitig mit kurzfristigen Veränderungen zu modellieren, lässt sich vom Eingleichungsansatz des Fehlerkorrekturmodells (ECM) zu einem Mehrgleichungsansatz für Variablenvektoren (VECM) verallgemeinern. Die Anzahl der kointegrierenden Beziehungen und die Koeffizientenmatrizen werden mit dem Johansen-Verfahren geschätzt. An einer einfachen Verallgemeinerung einer Konsumfunktion wird die Schätzung und Wirkungsweise eines VECM für Verbrauch, Einkommen und Aktienkurse in Deutschland gezeigt. Die Anwendung der Beveridge- Nelson-(BN)-Dekomposition auf vektorautoregressive Prozesse ermöglicht zudem, Abhängigkeiten zwischen den aus den kointegrierten Zeitreihen extrahierten zyklischen Komponenten zu schätzen. / Vector error correction models (VECM) allow to simultaneously model dependencies between the changes of several potentially endogenous variables. The idea is the modelling of a long-run equilibrium together with the short-run dynamics. Therefore a single equation approach (ECM) can be generalised to a multi equation approach (VECM) for variable vectors. The number of cointegration relations and the coefficient matrices are estimated with the Johansen procedure. The estimation of a VECM for income, consumption and stock prices for Germany is demonstrated by using a generalised consumption function. The Beveridge-Nelson-(BN)-Decomposition procedure for vectorautoregressive processes allows extracting cyclical components of cointegrated time series and estimating the degree of co-movement between these transitory components.

In der vorliegenden Arbeit soll der Zusammenhang zwischen Staatsverschuldung und Inflation untersucht werden. Es werden theoretische Übertragungswege von der Staatsverschuldung über die Geldmenge und die langfristigen Zinsen hin zur Inflation gezeigt. Aufbauend auf diesen theoretischen Überlegungen werden die Variablen Staatsverschuldung, Verbraucherpreisindex, Geldmenge M3 und langfristige Zinsen im Rahmen eines Vektor-Fehlerkorrekturmodells untersucht. In der empirischen Analyse werden die Variablen für Deutschland in dem Zeitraum vom 1. Quartal 1991 bis zum 4. Quartal 2010 betrachtet. In ein Vektor-Fehlerkorrekturmodell fließen alle Variablen als potentiell endogen in das Modell ein. Die Ermittlung der Kointegrationsbeziehungen und die Schätzung des Vektor-Fehlerkorrekturmodells erfolgen mithilfe des Johansen-Verfahrens. / In the following study the relation between the public debt and the inflation will be analysed. The transmission from the public debt to the inflation through the money supply and long term interest rate will be shown. Based on these theoretical thoughts the variables public debt, consumer price index, money supply m3 and the long term interest rate will be analysed within a vector error correction model. In the empirical part of this paper we will evaluate the timeperiod from the first quarter in 1991 until the fourth quarter in 2010 for Germany. In a vector error correction model every variable can be taken as endogenous. The variables in the model will be tested for cointegrated relationships and estimated with the Johansen-Approach.

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.