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11	Análise das cotações e transações intradiárias da Petrobrás utilizando dados irregularmente espaçados Silva, Marília Gabriela Elias da 27 August 2014 (has links) Submitted by Marília Gabriela Elias da Silva (marilia.gabriela.es@gmail.com) on 2014-09-18T19:07:04Z No. of bitstreams: 1 Marilia_Gabriela_tese.pdf: 512980 bytes, checksum: 8ab7fc0b5b89fa1bd8f99a705ae51920 (MD5) / Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2014-09-18T19:43:45Z (GMT) No. of bitstreams: 1 Marilia_Gabriela_tese.pdf: 512980 bytes, checksum: 8ab7fc0b5b89fa1bd8f99a705ae51920 (MD5) / Made available in DSpace on 2014-09-18T19:51:23Z (GMT). No. of bitstreams: 1 Marilia_Gabriela_tese.pdf: 512980 bytes, checksum: 8ab7fc0b5b89fa1bd8f99a705ae51920 (MD5) Previous issue date: 2014-08-27 / This study uses data provided by BM&FBovespa to analyze Petrobras' stock for the months between July and August 2010 and October 2008. First, we present a detailed discussion about handling data, we show the impossibility of using the mid-price quote due to the high number of buy / sell orders that present very high / low prices. We checked some of the empirical stylized facts pointed out by Cont (2001), among others enshrined in the microstructure literature. In general, the stylized facts were replicated by the data. We apply the filter, proposed by Brownlees and Gallo (2006), to Petrobras' stock and we analyze the sensitivity of the number of possible outliers found by the filter with respect to the filter's parameters variation. We propose using the Akaike criterion to sort and select conditional duration models whose samples have different length sizes. The selected models are not always those in which the data has been filtered. For the ACD (1,1) setting, when we consider only well-adjusted models, the Akaike criterion indicates as better model as one in which the data were not filtered. / O presente trabalho utiliza os dados disponibilizados pela BM&FBovespa para analisar as ações da Petrobrás para os meses compreendidos entre julho e agosto de 2010 e outubro de 2008. Primeiramente, apresentamos uma discussão detalhada sobre a manipulação desses dados, na qual explicitamos a impossibilidade de se usar o mid-price quote devido ao número elevado de ofertas de compra/venda com preços muito elevados/baixos. Verificamos alguns dos fatos estilizados empíricos apontados por Cont (2001), entre outros consagrados na literatura de microestrutura. Em geral, os dados replicaram os fatos estilizados. Aplicamos o filtro proposto por Brownlees e Gallo (2006) às ações da Petrobrás e analisamos a sensibilidade do número de possíveis outliers encontrados pelo filtro a variação dos parâmetros desse filtro. Propomos utilizar o critério de Akaike para ordenar e selecionar modelos de duração condicional cujas amostras de duração possuem tamanhos distintos. Os modelos selecionados, nem sempre são aqueles em que os dados foram filtrados. Para o ajuste ACD (1,1), quando considerados apenas os modelos bem ajustados (resíduos não autocorrelacionados), o critério de Akaike indica como melhor modelo aquele em que os dados não foram filtrados. Dados de alta frequência Filtro Brownlees e Gallo High frequency data Brownless and Gallo filter Economia PETROBRAS Mercado financeiro Ações (Finanças) Métodos estatísticos
12	An analysis of the determinants of private investment in the manufacturing sector: the case of the state of Tigray, Ethiopia Gizachew Yirtaw Gebrewubet 03 1900 (has links) Economic and political reforms have been introduced in Ethiopia and these have boosted private investment over the last two decades. Reforms have brought about measurable improvements, but the progress of the status of private investment has remained slow. This study was conducted with the objective of investigating the microeconomic level determinants of private investment in the manufacturing sector. These micro-level determinants of private investment in the State of Tigray, Ethiopia, were analysed using both descriptive and econometric methods. Thus, an econometric method of data analysis using a duration model was applied to analyse the microeconomic data collected. In addition, descriptive analysis was employed to analyse the survey data. Here, a chi-square test and factor analysis were used to analyse the relationship between variables and their constraints on the operations of the manufacturing sector. The major microeconomic determinants of private investment status in the State of Tigray were found to be investment areas, access to credit, infrastructure facilities, the judicial system, corruption, investment incentives and bureaucratic red tape. The econometric result revealed that infrastructure facilities, the judicial system, and investment areas negatively and significantly delayed the entire private investment status. However, interest rates and investment location were positively and significantly supported to continue their status of the entire private investors in the manufacturing sector. Infrastructure facilities, investment incentives, and investment areas were negatively and significantly related to the started group of investors’ progress. However, investment location was related positively and significantly to the started group and the ability of the implementation and operation statuses of private investors to proceed to operation status. In the case of the non-started group, infrastructure facilities and investment areas are related significantly and negatively to investment status delay. By contrast, interest rates and investment location significantly and positively affect private investment status delay. According to the descriptive analysis, access to credit, bureaucratic red tape and corruption were the additional major factors that hinder private investment from progressing from one xii status to the next. The investor’s level of education, access to land and political instability risks in the survey were not determinants of private investment status. In addition, the survey of private investors for those who have already started production shows that infrastructural, technological, and economic and financial factors have the highest absolute value of the loading factors that hinders operations in the manufacturing sector. The results of this study revealed that most of the problems encountered in the manufacturing sector were institutional but some were related to the private investors themselves. Thus, the government should take measures to establish a true, independent and efficient institution so as to create access to credit and provide infrastructure facilities to the private sector. This could be done by minimising corruption and ensuring transparent investment regulations. Thus, the State of Tigray, Ethiopia, must attract and encourage private investors by applying and improving policies which promote private investment. In this way they will actively contribute to the overall development and growth of the Ethiopian economy. Finally, as this study is made on the causes of delay in each phases of investment, it contributes a new knowledge to all investment sectors in the developing countries as whole and particularly to all regions of Ethiopia for advanced polices and strategies development on investment decisions. Then, based on the results of the study and solving these identified problems of investment phases, all actors of investment can retain and encourage the existing and attract new private investors to enhance the economic development of the society. The findings from this study have important implications for prospective business owners, lenders, and policy makers on how to improve private investment and create conducive business environment. / Business Management / D.B.L. Determinants Private investment Status of investment Groups Duration model State of Tigray Ethiopia 332.6709634
13	Trois essais empiriques en économie de l’éducation et de la formation / Three empirical essays on the economics of education and training Rain, Audrey 19 October 2017 (has links) Les travaux présentés dans cette thèse s’intéressent aux rendements individuels de l’éducation et de la formation, et cherchent à mettre en évidence des modalités d’intervention publique plus efficaces pour accroître ces rendements. Les deux premiers chapitres de ce travail étudient la manière dont les rendements des investissements individuels en éducation peuvent être optimisés en améliorant l’efficacité des systèmes éducatifs et de formation professionnelle. La dernière étude porte sur les liens entre l’investissement en capital humain et l’environnement légal ou économique qui l’encadre. Le premier article de cette thèse s’intéresse en particulier à l’effet de la scolarisation dans une école privée française en CP et CE1 sur les résultats scolaires en CE2. Le second chapitre vise à mesurer l’efficacité des formations certifiantes destinées aux demandeurs d’emploi français sur leur retour en emploi. La dernière étude montre le lien existant entre la flexibilisation du marché du travail anglais et l’accès à la formation des salariés. Les analyses réalisées reposent sur des méthodes microéconométriques qui visent à identifier l’effet causal des politiques publiques étudiées. Nous utilisons ainsi la méthode des variables instrumentales et celle des différences de différences. Cette thèse repose également sur l’estimation de modèles de durée, en utilisant la méthode du "timing-of-events" ou en estimant un modèle à risques concurrents bivarié. / This thesis work focuses on individual returns to education and training, and aims at highlighting more efficient public interventions in order to increase these returns. The first two chapters of this study consider how returns to individual investments can be optimized by improving public policies efficiency in the field of education and vocational training. The last study analyzes the link between investment in human capital and the legal and economic environment in which it is realized. In details, the first article of this thesis focuses on the effect of private schooling during the first and second grade in France on test scores achievement in third grade. The second chapter aims at measuring the efficiency of certifying training programs followed by unemployed individuals on their probability to find a job. The last study shows the link between the English labor market flexibility and workers’ access to training. The analyses conducted rely on microeconometric methodologies which aim at identifying the causal effect of considered public policies. We thus use the instrumental variable methodology as well as the difference-in-difference one. This thesis also relies on the estimation of duration models, using the “timing-of-events” methodology, and estimating a bivariate competing risks model. Politique du marché du travail Rendements de l’éducation Evaluation des politiques Formation professionnelle Modèle de durée Législation de protection de l'emploi Returns to education Evaluation of public policy Vocational training Labo rmarket Duration model Legislation on employement protection
14	工資、工作配合與工作轉換之期間分析的實証研究林建志, Lin, Steve Unknown Date (has links) 本論文將勞動市場的狀態過程說明非常完整，即是勞動者的搜尋過程、工作配合過程都是詳細介紹其理論背景，以及實証的結果。由於，在勞動市場上，由於勞動者與廠商之間的訊息不完全，造成勞動者與廠商兩者之間往往無法一拍即合，而導致勞動者可能離職他就，廠商亦可能另聘高明，於是工資變動與工作異動就成為經常看到的現象。在本文研究勞動者工作異動的情形，在理論模型上是以工作契合理論為基礎，而要討論工作契合理論的基礎則必須先知道Lippmam與MaCall(1976)所提出的工作搜尋理論。因為工作契合理論又是以工作搜尋理論為基礎，因此在理論模型上必先討論工作搜尋理論，進而討論工作契合理論。文中研究主要藉由民國八十五年九月高希均教授與林祖嘉教授於八十四年四月至八十五年六月期間針對民國八十一年六月專上畢業生的資料，分析全体專上畢業生、女性專畢業生與男性畢業生在工資、工作契合期間與勞工離職率決定以及動態行為決定。並且我們把這些資料分為四大類基本資料：個人背景資料、工作配合資料、人力資本資料與工作特徵及其基本資料。在工資的模型方面則利用一般的最小平方法來估計，因為假設市場上的工資分配為一常態分配，是一般實証文獻常用的。就勞工的契合期間，我們運用林祖嘉(1991)的模型，本文則用在勞動者的離職率與工作契合期間的決定。我們分為四個模型，分別是：Weibull、exponential、lognormal與logistic四種分配。在勞工離職方面我們運用了Cox(1972)的比例危險率模型，Lynch(1991)首次將之運用在勞動者工作異動的決定，除此之外，我們也進一步的討論工資、工作契合期間與離職率的進一步的動態的分析。工作配合工作契合工作異動工作轉換工資期間模型危險率 job search job match job switch job turnover wage duration model hazard function
15	Univariate and Bivariate ACD Models for High-Frequency Data Based on Birnbaum-Saunders and Related Distributions Tan, Tao 22 November 2018 (has links) This thesis proposes a new class of bivariate autoregressive conditional median duration models for matched high-frequency data and develops some inferential methods for an existing univariate model as well as the bivariate models introduced here to facilitate model fitting and forecasting. During the last two decades, the autoregressive conditional mean duration (ACD) model has been playing a dominant role in analyzing irregularly spaced high-frequency financial data. Univariate ACD models have been extensively discussed in the literature. However, some major challenges remain. The existing ACD models do not provide a good distributional fit to financial durations, which are right-skewed and often exhibit unimodal hazard rates. Birnbaum-Saunders (BS) distribution is capable of modeling a wide variety of positively skewed data. Median is not only a robust measure of central tendency, but also a natural scale parameter of the BS distribution. A class of conditional median duration models, the BS-ACD and the scale-mixture BS ACD models based on the BS, BS power-exponential and Student-t BS (BSt) distributions, have been suggested in the literature to improve the quality of the model fit. The BSt-ACD model is more flexible than the BS-ACD model in terms of kurtosis and skewness. In Chapter 2, we develop the maximum likelihood estimation method for the BSt-ACD model. The estimation is performed by utilizing a hybrid of optimization algorithms. The performance of the estimates is then examined through an extensive Monte Carlo simulation study. We also carry out model discrimination using both likelihood-based method and information-based criterion. Applications to real trade durations and comparison with existing alternatives are then made. The bivariate version of the ACD model has not received attention due to non-synchronicity. Although some bivariate generalizations of the ACD model have been introduced, they do not possess enough flexibility in modeling durations since they are conditional mean-based and do not account for non-monotonic hazard rates. Recently, the bivariate BS (BVBS) distribution has been developed with many desirable properties and characteristics. It allows for unimodal shapes of marginal hazard functions. In Chapter 3, upon using this bivariate BS distribution, we propose the BVBS-ACD model as a natural bivariate extension of the BS-ACD model. It enables us to jointly analyze matched duration series, and also capture the dependence between the two series. The maximum likelihood estimation of the model parameters and associated inferential methods have been developed. A Monte Carlo simulation study is then carried out to examine the performance of the proposed inferential methods. The goodness-of-fit and predictive performance of the model are also discussed. A real bivariate duration data analysis is provided to illustrate the developed methodology. The bivariate Student-t BS (BVBSt) distribution has been introduced in the literature as a robust extension of the BVBS distribution. It provides greater flexibility in terms of the kurtosis and skewness through the inclusion of an additional shape parameter. In Chapter 4, we propose the BVBSt-ACD model as a natural extension of the BSt-ACD model to the bivariate case. We then discuss the maximum likelihood estimation of the model parameters. A simulation study is carried out to investigate the performance of these estimators. Model discrimination is then done by using information-based criterion. Methods for evaluating the goodness-of-fit and predictive ability of the model are also discussed. A simulated data example is used to illustrate the proposed model as compared to the BVBS-ACD model. Finally, in Chapter 5, some concluding comments are made and also some problems for future research are mentioned. / Thesis / Master of Science (MSc) High-frequency financial data Conditional quantile duration Student-t Birnbaum-Saunders distribution Bivariate Birnbaum-Saunders distribution Maximum likelihood estimation Nelder-Mead algorithm BFGS method Monte Carlo simulation Density forecast Goodness-of-fit Model discrimination Information-based criterion
16	市場風險值管理之應用分析以某金融控股公司為例 / The analysis of Market Risk VaR management ：the case of financial holding company 周士偉, Chou, Jacky Unknown Date (has links) 2008年次貸風暴橫掃全球金融市場，Basel II制度歷經多年的實施，卻無法有效防阻金融風暴的發生。觀察2008已採用內部模型法之主要國際金融機構之年報，亦發現採用蒙地卡羅模擬法之代表銀行『德意志銀行』於該年度竟發生了35次穿透，市場風險管理到底出了什麼問題？這是被極度關心的現象，產官學界也對此現象提出了許多議題。2012年的現在，次貸的風暴尚未遠去，新的歐債危機也正在蔓延，若金融風暴再次來臨，市場風險管理是否能克服次貸風暴後所凸顯的缺失，市場風險管理的價值除被動管理外，是否還可以進階到主動預警，以作為經營決策的重要參考資訊？這些都是國內金融機構需積極面對的急迫的市場風險管理議題。個案金控的市場風險管理機制致力於解決次貸以來所凸顯的市場風險管理議題、提升市場風險衡量的精準度、擴大市場風險管理之應用範圍，並將市場風險管理的價值由被動管理角色進階到主動預警角色，以期作為經營決策的重要參考。經過多年的淬煉，其發展理念與經驗應具相當參考價值，故本論文以個案金融控股公司(以下簡稱個案金控)之實務經驗進行個案研究，除分析個案金控市場風險管理機制的基礎架構外，也將研究重心放在個案金控如何在此基礎架構下，開發多種進階市場風險量化管理功能。本論文除研究個案金控如何完善市場風險值量化機制外，也對各量化功能的實施結果進行分析，以期研究成果可更客觀的作為其他金融控股公司未來發展進階市場風險衡量機制之參考。市場風險風險值經濟價值信託基金操作風險風險因子一般風險值壓力風險值條件風險值增額風險值邊際風險值變異數-共變異數法歷史模擬法蒙地卡羅模擬法隱含波動度厚尾順景氣循環標準法內部模型法市場流動性風險外生性市場流動性風險內生性市場流動性風險流動性調整後風險值壓力測試回溯測試 Market Risk Value at Risk Economic Value Active Management VaR Tracking Error Risk Factor Common VaR Stressed VaR Conditional VaR Incremental VaR Marginal VaR Variance-Covariance Approach Historical Simulation Approach Monte Carlo Simulation Approach Fat Tail Time-Varying Volatility pro-cyclical Standardized Approach Internal Models Approach Implied Volatility Generalized Error Distribution Bernoulli trial test Likelihood ratio test Unconditional Coverage Test Conditional Coverage Test Backward Looking Model Forward Looking Model Forecasting VaR Pearson Correlation Cholesky decomposition Kendall Correlation Copula method Future Volatility Disconnection Market Liquidity Risk Exogenous Market Liquidity Risk Endogenous Market Liquidity Risk Liquidity-adjusted VaR Stress Test Backtesting Net Interest Income Re-pricing Model Maturity Model Duration Model

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