[pt] Neste trabalho estuda-se, por meio de simulação Monte- Carlo, a importância de duas restrições para a estimação e a previsão do Modelo Vetorial Autoregressivo - VAR, quais sejam: cointegração e características cíclicas comuns, relativas ao longo-prazo e ao curto-prazo, respectivamente. Cabe observar que as restrições cíclicas comuns de curto- prazo consideradas neste trabalho estão na forma fraca (Weak Form - WF), como definido por Hecq, Palma e Urbain (2006). Esta tese tem dois objetivos. O primeiro trata da investigação do desempenho de duas classes de critérios de informação para a seleção dos parâmetros do modelo. O primeiro critério, denotado por IC(p), refere-se ao critério tradicional, enquanto o segundo, denotado por IC (p, s), refere-se ao critério de seleção alternativo como proposto por Vahid e Issler (2002). Quanto aos segundo objetivo, a investigação avalia o desempenho da previsão de três modelos: i) modelo que considera as restrições de cointegração e do tipo WF; ii) modelo que apenas considera as restrições de cointegração e iii) modelo sem restrições. Os resultados indicam que o critério de informação alternativo, IC(p, s), apresenta desempenho superior ao modelo escolhido pelos critérios convencionais IC(p). Em relação ao desempenho da previsão, o modelo que considera as restrições de cointegração e do tipo WF apresenta desempenho predicativo superior. / [en] This paper investigates the importance of two restrictions included in the estimation and the forecasting of the Vectorial Autoregressive - VAR model using simulation Monte- Carlo. Those are the cointegration and the common cyclical characteristics restrictions related to the long run and the short run, respectively. The short run common cyclical restrictions considered in this work are in the Weak Form - WF, as defined by Hecq, Palm and Urbain (2006). This thesis has two main objectives. The first goal deals with performance of two classes of information criteria for the selection of the parameters in the model. The first criterion, denoted by IC(p) refers to the traditional technique, while the second one, denoted by IC(p,s) refers to the alternative selection criterion as proposed by Vahid and Issler (2002). On the concern of the second objective, it evaluates the forecasting accuracy of three models: i) model that considers the cointegration and WF restrictions; ii) model that just considers the cointegration restrictions and iii) model without any restrictions. On balance, the results indicate that the alternative information criterion, IC(p, s), has a better performance than the chosen model using the conventional criteria IC (p). In terms of the forecasting accuracy, the model which considers the cointegration and WF restrictions presents superior predicative performance.

L’objectif de cette thèse est l’étude de la croissance et du développement économique des pays émergents à travers l’Investissement Direct Etranger. Les pays émergents adoptent des stratégies d’attractivité des IDE, lesquels favorisent ensuite l’assimilation des transferts technologiques qu’ils véhiculent. Ces stratégies sont articulées autour de plusieurs points : surcroît de réglementation, instauration d’un système de bonne gouvernance, renforcement de la stabilité macroéconomique et développement des infrastructures et du capital humain. Nous nous intéressons aux pays de la région MENA qui viennent de subir des changements politiques et sociaux profonds. Des pays que l’Europe occidentale gagnerait à accompagner, pour assurer le succès de cette phase transitionnelle. C’est pourquoi, nous prenons exemple sur les pays de la région PECO au lendemain de la chute du mur de Berlin et sur les pays de l’Europe occidentale au lendemain de la seconde guerre mondiale. A partir de la décennie 1980, suite à l’effondrement des cours du pétrole qui a eu des conséquences majeures sur leurs économies fragiles, les pays de la région MENA se sont efforcés de diversifier leur économie. Dans un premier chapitre, nous montrons la nature des canaux, à travers lesquels se concrétisent les effets des IDE sur la croissance des pays émergents. A partir des théories récentes de la croissance économique, les politiques d’attraction des IDE menées par les pays émergents constituent un élément moteur de la croissance, à partir du moment où ces pays possèdent un capital humain capable d’absorber les technologies et le savoir-faire véhiculés par l’IDE. Dans un deuxième chapitre et à travers diverses méthodes empiriques, nous établissons les déterminants des IDE. A l’aide de comparaisons à l’échelle régionale, nous nous focalisons, plus particulièrement, sur les déterminants institutionnels à court terme. En nous appuyant par la suite sur un modèle gravitationnel dans les troisième et quatrième chapitres, nous mettons en évidence les déterminants essentiels de l’IDE dans les pays d'Europe centrale et orientale (PECO), ainsi que les éventuelles différences de comportement des investisseurs étrangers envers l’ancienne UE-15 et les PECO, et ce, dix ans après l’élargissement de la Communauté européenne. Nous montrons ainsi un glissement à la fois dans l’orientation géographique des investisseurs mais aussi dans leurs motivations. Nous n’observons donc pas de rapprochement des déterminants des PECO vers ceux de l’UE-15. En revanche, l’effet de concurrence fiscale tend à se diffuser dans les stratégies des firmes des PECO vers l’ensemble de l’Union européenne. Ceci coïncide avec la survenue de la crise qui a occasionné une plus grande volatilité dans les flux d’IDE. Dans le cinquième chapitre, nous analysons à long terme les déterminants institutionnels des IDE dans la région MENA. Nous mettons en relief une panoplie d’indicateurs institutionnels afin d’identifier leur importance relative sur les flux d’IDE ; et ce, après le contrôle des déterminants macroéconomiques. Nous prenons en considération les effets de retournement de conjoncture économique, dus principalement aux récessions et aux crises économiques. Nos résultats indiquent que les indicateurs institutionnels sont positivement reliés aux IDE. Enfin, dans le sixième chapitre, et pour la même région, nous examinons la relation entre la croissance économique, l’IDE, les exportations, la population active et l’investissement en capital. Ladite relation demeurant l'un des problèmes les plus importants de la littérature économique, elle rencontre un regain d'intérêt, principalement pour les pays de la région MENA, qui souffrent de problèmes sociaux, économiques et de retard technologique. En utilisant l’approche ARDL, nous montrons enfin qu’il existe une relation de cointégration entre ces variables, aussi bien à long terme qu’à court terme. / This thesis aims at studying the growth and the economic development of emerging countries through Foreign Direct Investment. Emerging countries adopt FDI-luring strategies, which subsequently guarantee the assimilation of the technological transfers they convey. Such strategies are built around several axes: increased regulation, the implementation of a good governance system, the invigorating of macroeconomic stability and the development of infrastructure and human resources. We focus on the OECD countries that have just undergone profound political and social changes. Indeed, Western Europe has to support these countries to ensure the success of this transitional phase. It is precisely for this reason that we follow the example of the CEEC countries in the wake of the Berlin Wall fall on the one hand and the Western European countries in the aftermath of WWII on the other. Starting from the 1980s, after the collapse of oil prices- which had tremendous repercussions on fragile economies-, the OECD countries sought to diversify their economy. In the first chapter, we show the nature of the channels that materialize the FDI effects on the emerging countries’ growth. With reference to the latest theories of economic growth, the FDI attraction policies adopted by the emerging countries represent a driving force for growth as long as these countries are endowed with human resources capable of absorbing the technologies and the know-how conveyed by the FDIs. In the second chapter, relying on a variety of empirical methods, we establish the FDI determinants. More particularly, we focus on the short-term institutional determinants at a national comparative scale.Then, in the third and fourth chapters, relying on the gravitational model, we highlight the main FDI determinants in the Central and Eastern Europe countries (CEECs) as well as the possible differences of foreign investors’ behavior towards the former EU-15 and the CEEC, and that is ten years after the extension of the European Community. Thus, we show a fall in the investors’ geographical orientation as well as motivations. Therefore, there is no reconciliation between the CEEC’s determinants and those of the EU-15. However, the tax competition seems to spread among the CEEC firms’ policiestowards the EU as a whole. This concurs with the financial crisis which brought about a bigger volatility in the FDI flows. In the fifth chapter, we analyze the long run institutional FDI determinants in the OECD region. We emphasize a range of institutional indicators in order to identify their relative impact on the FDI flows; and this after having examined the macroeconomic determinants. We take into consideration the effects of economic conjuncture downturns, which are mainly due to recessions and economic crises. Our findings show that the institutional indicators are positively related to FDIs.Finally, in the sixth chapter and for the same region, we investigate the relationship between economic growth, FDI, exportation, workforce and capital investment. Since the so-called relationship is still one of the main problems in the economic literature, it has witnessed renewed interest, mainly for the OECD countries, which are affected by social and economic problems as well as a technological gap. Based on an ARDL approach, we eventually show that there is eventually a cointegration relationship between these variables, both in the long run as well as in the short run.

This study examines which monetary aggregates, namely nominal M0, M1 and M2, can be used by the People’s Bank of China to conduct monetary policy. The model includes real M0, M1 and M2 as the dependent variable respectively and their determinants, such as real income, real inflation rate, and real rate of one-year saving deposit. Johansen (1988) and Johansen and Juselius’s (1990) procedures are used to estimate the long-run relationship between the monetary aggregates and their variables. Short-run model is applied to M0, M1 and M2 respectively to see whether the error term is negative to validate the significance of the long-run relationship using the Ordinary Least Square estimation.

本文的主要目的為比較不同模型或者不同檢定所產生的不同結果。選擇的遞延期數(lag)不同,則所得到的模型與共積數目也不一樣,使得不同遞延期數(lag)、不同模型 所得到的共積關係也不相同。所以本文將驗證在不同遞延期數下,所得到的不同模型共積關係的表現。因此希望利用Johansen Sequential Testing Procedure來同時決定共積關係數目及資料產生過程(DGP),而且也能探討共積關係。但其仍有缺點,例如Johansen Sequential Testing Procedure所取的遞延期數不同則所選定的模型也將不一樣,另一點是共積係數的估計值只是一basis。

本篇研究主要在探討，臺灣股價指數與重要總體經濟變數之間是否具有長期的穩定關係。並藉由計量模型的估計、比較與研究，希望能因而找出較為準確的估計方法，並瞭解各經濟變數之間的影響與關係。 　　選擇的變數包括：臺灣股票發行量加權指數(SIDX)、美元匯率(UER)、貨幣供給(M2)、利率(IR)、消費者物價指數(CPI)、工業生產指數(PIDX)。資料期間從1975年7月至1995年12月，頻率為月，共246筆資料。 　　第一步我們先對各變數資料作分析檢定，檢定其是否具有單根，亦即檢定其是否為穩定變數；結果有一單根（PIDX）。分析完資料特性之後再做各變數之間的相關檢定，在此以(Canonical Analysis)典型分析的方法為之；結果得出一穩定的共積關係，藉此找出誤差調整項。最後做模型的選定與解釋變數的選擇，以做股價指數（SIDX）的迴歸估計，因其中含有穩定與非穩定的解釋變數，因此我們採取FMOLS（FULLY MODIFIED OLS）作為估計的方法，其中加入誤差調整項為下一期變動方向的解釋，希望如此有助於我們對股價的分析預測，此外並做DYNAMIC-OLS的估計方法與FM-OLS估計方法比較，最後再作股價變動的估計分析。結果發現M2、IR、UER對股價指數（SIDX）較具影響力的變數，而落後一，二期的誤差調整項是最顯著的參數，且股市波動較小時，似乎總體的經濟因素可能有較顯著的影響，股市波動較大時，可能受風險報酬的影響較顯著，詳細內容參見本文。

This paper empirically analyses the interest rate transmission mechanism from money market rate to lending rate by utilizing the bank-level data in the distinction of cash, automobile, housing and corporate loans in Turkey. The main objective is to reveal the possible asymmetries of the adjustment process as well as the extent of the pass through. Empirical results indicate that mark-up value is the minimum for corporate rates on average, followed by housing, automobile and cash rates, respectively. Additionally, while large banks follow small mark-up pricing, small banks follow large mark-up pricing for corporate loans. Furthermore, a complete pass through is detected in 75 percent of the corporate loans, whereas the rates of banks that completely react to money market changes are 58 percent for cash and housing loans and 50 percent for automobile loans. We also find evidence that cash loans having high mark-up values do not adjust completely to variations in money market rate. Based on TAR and MTAR models of Enders and Siklos (2001), substantial asymmetries exist for all lending types. In general, adjustment towards the long-run equilibrium is faster when the disequilibrium or change in disequilibrium is above the threshold (upward rigidity).

In the last few decades, vector autoregressive (VAR) models have gained tremendous popularity as an all-purpose tool in econometrics and other disciplines. Some of their most prominent uses are for forecasting, causality tests, tests of economic theories, hypothesis-seeking, data characterisation, innovation accounting, policy analysis, and cointegration analysis. Their popularity appears to be attributable to their flexibility relative to other models rather than to their virtues per se. In addition, analysts often use VAR models as benchmark models. VAR modeling has not gone uncriticised, though. A list of relevant arguments against VAR modelling can be found in Section 2.3 of this thesis. There is one additional problem which is rarely mentioned though, namely the often heavily biased estimates in VAR models. Although methods to reduce this bias have been available for quite some time, it has probably not been done before, at least not in any systematic way. The present thesis attempts to systematically examine the performance of bias-reduced VAR estimates, using two existing and one newly derived approximation to the bias. The thesis is orginanised as follows. After a short introductory chapter, a brief history of VAR modelling can be found in Chapter 2 together with a review of different representations and a compilation of criticisms against VAR models. Chapter 3 reports the results of very extensive Monte Carlo experiments serving dual purposes: Firstly, the simulations will reveal whether or not bias really poses a serious problem, because if it turns out that biases appear only by exception or are mainly insignificant, there would be little need to reduce the bias. Secondly, the same data as in Chapter 3 will be used in Chapter 4 to evaluate the bias approximations, allowing for direct comparison between bias-reduced and original estimates. Though Monte Carlo methods have been (rightfully) criticised for being too specific to allow for any generalisation, there seems to be no good alternative to analyse small-sample properties of complicated estimators such as these. Chapter 4 is in a sense the core of the thesis, containing evaluations of three bias approximations. The performance of the bias approximations is evaluated chiefly using single regression equations and 3D surfaces. The only truly new research result in this thesis can also be found in Chapter 4; a second-order approximation to the bias of the parameter matrix in a VAR(p) model. Its performance is compared with the performance of two existing first-order approximations, and all three are used to construct bias-reduced estimators, which are then evaluated. Chapter 5 holds an application of US money supply and inflation in order to find out whether the results in Chapter 4 can have any real impacts. Unfortunately though, bias reduction appears not to make any difference in this particular case. Chapter 6 concludes. / Diss. Stockholm : Handelshögsk.

Markets have an important role to play in advancing an improved understanding of international trading relationships. Two most important economic issues, which contribute to improved national welfare and ensure long-run competitive market equilibrium in international markets, are market integration and market efficiency. To provide softwood lumber markets related information to the policy makers, economic analyses relating market integration and market efficiency of the combined markets of Canada and the US have been conducted. The economic analyses include: (i) testing cointegration of prices among North American softwood lumber markets; (ii) identifying price leading markets in long-run price structure of these cointegrated markets; (iii) examining the degree of market integration among these markets; and (iv) testing the efficiency of spatial arbitrage among these markets. First, the price linkages in the North American softwood lumber markets have been explored over different trade regimes. The results indicate that market integration is affected by product aggregation of data. Further investigations of market integration are, therefore, limited to homogeneous softwood lumber product markets. Second, oligopsonistic pricing behavior of traders is identified as the possible reason for imperfect competition among Douglas Fir product markets, while imperfect competition among the markets of Spruce-Pine-Fir and Hem Fir products can not be explained by this behavior. Third, a comprehensive picture of the adherence to price parity is formulated by evaluating the magnitude and persistence of deviations from equilibrium relation of prices. It is found that large volumes of trade, product substitutability, lower prices, and certainty of trade are the factors which contribute to higher degree of market integration among North American softwood lumber product markets. Finally, the inter-temporal shifts in regime probabilities of competitive market equilibrium are assessed over different trade regimes. It is found that lower transaction costs, large volumes of trade, short distances between markets, and certainty of trade contribute to high market efficiency among softwood lumber product markets of North America.

Forestry activities play a crucial role in climate change mitigation. To make carbon credits generated from such activities a tradable commodity, it is important to analyze the price dynamics of carbon markets. This dissertation contains three essays that examine various issues confronting world’s carbon markets. The first essay investigates cointegration of carbon markets using Johansen maximum likelihood procedure. All carbon markets of the world are not integrated. North American carbon markets show integration and so do the CDM markets. For future, the possibilities of arbitrage across world’s markets are expected to be limited, and carbon trading in these markets will be globally inefficient. There is a strong need of a global agreement that allows carbon trade to prevent climate change at the least cost options. The second essay evaluates various econometric models for predicting price volatility in the carbon markets. Voluntary carbon market of Chicago is relatively more volatile; and like other financial markets, its volatility is forecasted best by a complex non-linear GARCH model. The compliance market of Europe, on the other hand, is less volatile and its volatility is forecasted best by simple econometric models like Historical Averages and GARCH and hence is different from other markets. Findings could be useful for investment decision making, and for making choice between various policy instruments. The last essay focuses on agent based models that incorporate interactions of heterogeneous entities. Artificial carbon markets obtained from such models have statistical properties - lack of autocorrelations, volatility clustering, heavy tails, conditional heavy tails, and non-Gaussianity; which are similar to the actual carbon markets. These models possess considerably higher forecasting capabilities than the traditional econometric models. Forecast accuracy is further improved considerably through experimentation, when agent characteristics like wealth distribution, proportion of allowances and number of agents are set close to the real market situations.

Forestry activities play a crucial role in climate change mitigation. To make carbon credits generated from such activities a tradable commodity, it is important to analyze the price dynamics of carbon markets. This dissertation contains three essays that examine various issues confronting world’s carbon markets. The first essay investigates cointegration of carbon markets using Johansen maximum likelihood procedure. All carbon markets of the world are not integrated. North American carbon markets show integration and so do the CDM markets. For future, the possibilities of arbitrage across world’s markets are expected to be limited, and carbon trading in these markets will be globally inefficient. There is a strong need of a global agreement that allows carbon trade to prevent climate change at the least cost options. The second essay evaluates various econometric models for predicting price volatility in the carbon markets. Voluntary carbon market of Chicago is relatively more volatile; and like other financial markets, its volatility is forecasted best by a complex non-linear GARCH model. The compliance market of Europe, on the other hand, is less volatile and its volatility is forecasted best by simple econometric models like Historical Averages and GARCH and hence is different from other markets. Findings could be useful for investment decision making, and for making choice between various policy instruments. The last essay focuses on agent based models that incorporate interactions of heterogeneous entities. Artificial carbon markets obtained from such models have statistical properties - lack of autocorrelations, volatility clustering, heavy tails, conditional heavy tails, and non-Gaussianity; which are similar to the actual carbon markets. These models possess considerably higher forecasting capabilities than the traditional econometric models. Forecast accuracy is further improved considerably through experimentation, when agent characteristics like wealth distribution, proportion of allowances and number of agents are set close to the real market situations.