Este trabalho tem por objetivo principal aplicar o modelo de precificação de opções de taxas de juros proposto por Barbachan e Ornelas (2003), com base nos modelos de taxa de juro e avaliação de opções de Cox, Ingerssol e Ross (1985), para avaliação de opções de compra sobre o Índice de Taxa Média de Depósitos Interfinanceiros de Um Dia (IDI), negociadas na BM&FBovespa. Para estimação dos parâmetros deste modelo, foi empregado o método de Máxima Verossimilhança. Neste contexto, também fez-se uso da fórmula de precificação de opções proposta por Black (1976), adaptada para o mercado de derivativos brasileiros, conforme implementação verificada no trabalho de Gluckstern et al. (2002). Tal aplicação torna-se interessante, pois este modelo é amplamente utilizado pelo mercado brasileiro para avaliação de opções sobre o IDI. De forma a verificar a aderência dos preços teóricos gerados pelos modelos, em comparação aos preços de mercado, métricas de erro foram empregadas. De forma geral, nossos resultados mostraram que ambos os modelos apresentam erros sistemáticos de precificação, onde o modelo CIR subavalia os prêmios das opções e o modelo de Black superprecifica. No entanto, bons resultados foram encontrados ao avaliarmos opções in-the-money e out-of-money com o modelo de Black. / This work aims to apply the interest rate option pricing model proposed by Barbachan and Ornelas (2003), based on the interest rate model and option pricing model developed by Cox, Ingersoll and Ross (1985), to evaluate call options on the 1 day Brazilian Interfinancial Deposits Index - IDI, traded at BM&FBovespa. The Maximum Likelihood method was applied to estimate the model parameters. In this context, the option pricing formula proposed by Black (1976), adapted for the Brazilian derivative Market, was also used, according implementation verified in Gluckstern et al. (2002). This application becomes interesting because this model is widely used by the Brazilian Market to evaluate options on IDI. In order to verify the adherence of theoretical prices generated by the models, in comparison to the Market prices, error metrics were applied. In general, our results pointed out that both models presented systematic pricing errors, in which the CIR model underestimates the option prices and Black’s model overestimates. However, good results were found on the evaluation of options in-the-money and out-of-money with the Black’s Model.

Este trabalho tem por objetivo principal aplicar o modelo de precificação de opções de taxas de juros proposto por Barbachan e Ornelas (2003), com base nos modelos de taxa de juro e avaliação de opções de Cox, Ingerssol e Ross (1985), para avaliação de opções de compra sobre o Índice de Taxa Média de Depósitos Interfinanceiros de Um Dia (IDI), negociadas na BM&FBovespa. Para estimação dos parâmetros deste modelo, foi empregado o método de Máxima Verossimilhança. Neste contexto, também fez-se uso da fórmula de precificação de opções proposta por Black (1976), adaptada para o mercado de derivativos brasileiros, conforme implementação verificada no trabalho de Gluckstern et al. (2002). Tal aplicação torna-se interessante, pois este modelo é amplamente utilizado pelo mercado brasileiro para avaliação de opções sobre o IDI. De forma a verificar a aderência dos preços teóricos gerados pelos modelos, em comparação aos preços de mercado, métricas de erro foram empregadas. De forma geral, nossos resultados mostraram que ambos os modelos apresentam erros sistemáticos de precificação, onde o modelo CIR subavalia os prêmios das opções e o modelo de Black superprecifica. No entanto, bons resultados foram encontrados ao avaliarmos opções in-the-money e out-of-money com o modelo de Black. / This work aims to apply the interest rate option pricing model proposed by Barbachan and Ornelas (2003), based on the interest rate model and option pricing model developed by Cox, Ingersoll and Ross (1985), to evaluate call options on the 1 day Brazilian Interfinancial Deposits Index - IDI, traded at BM&FBovespa. The Maximum Likelihood method was applied to estimate the model parameters. In this context, the option pricing formula proposed by Black (1976), adapted for the Brazilian derivative Market, was also used, according implementation verified in Gluckstern et al. (2002). This application becomes interesting because this model is widely used by the Brazilian Market to evaluate options on IDI. In order to verify the adherence of theoretical prices generated by the models, in comparison to the Market prices, error metrics were applied. In general, our results pointed out that both models presented systematic pricing errors, in which the CIR model underestimates the option prices and Black’s model overestimates. However, good results were found on the evaluation of options in-the-money and out-of-money with the Black’s Model.

This diploma thesis evaluates out-of-sample predictive ability of exchange rate models. The first part of the thesis summarizes existing empirical findings about exchange rate predictability and describes exchange rate models chosen to be evaluated. The second part of the thesis evaluates predictive ability of purchasing power parity, uncovered interest parity, monetary model and Taylor rule model. The exchange rate models are evaluated on CZK/EUR and CZK/USD currency pairs. The analysis is made using quarterly data from 1999 to 2013, while 2009 to 2013 period is reserved for forecast evaluation. The predictive ability of exchange rate models is evaluated in one quarter, one year and three years horizons. The exchange rate models are specified in first differences and estimated by ordinary least squares method. The forecasts are made using rolling regression. The exchange rate models are evaluated using RMSE, Theil's U, CW test and direction of change criterion. The diploma thesis concludes with description of own empirical findings.

The objective of the thesis is to acquaint readers with field of structured product valuation. It is a relatively complex issue which is, however, based on general valuation foundations. The opening chapter is dedicated to these general fundamentals of valuation. Emphasis is placed mainly on present value principle, a specific variant of comparison, and its related aspects. The second section describes key elements of structured product valuation. Greater part of this chapter is devoted to the Monte Carlo simulation, the most employed tool in valuation of these products in practice. An important part of Monte Carlo simulation is an option spread, which arises as by-product of the simulation and reflects value of an option contained in the evaluated instrument. Third chapter is focused on interest rate and prepayment models. Level of prepayment is dependent on interest rates development which both are the most critical factors that affect value of structured products. Description of models includes theoretical and mathematical formulation as well as mentioning their advantages and disadvantages. Valuation model is illustrated in the last part, which is demonstrated on valuation of hypothetical structured products example. Based on the model, the development of cash flows from underlying asset portfolio is forecasted which in turn determines the value of evaluated instruments. The final section deals with advantages of structured products and, hence, why banks and other institutions use them in practice.

<p>Recently, the Conway-Maxwell Poisson (COM-Poisson) cure rate model has been proposed which includes as special cases some of the well-known cure rate models discussed in the literature. Data obtained from cancer clinical trials are often right censored and the expectation maximization (EM) algorithm can be efficiently used for the determination of the maximum likelihood estimates (MLEs) of the model parameters based on right censored data.</p> <p>By assuming the lifetime distribution to be exponential, lognormal, Weibull, and gamma, the necessary steps of the EM algorithm are developed for the COM-Poisson cure rate model and some of its special cases. The inferential method is examined by means of an extensive simulation study. Model discrimination within the COM-Poisson family is carried out by likelihood ratio test as well as by information-based criteria. Finally, the proposed method is illustrated with a cutaneous melanoma data on cancer recurrence. As the lifetime distributions considered are not nested, it is not possible to carry out a formal statistical test to determine which among these provides an adequate fit to the data. For this reason, the wider class of generalized gamma distributions is considered which contains all of the above mentioned lifetime distributions as special cases. The steps of the EM algorithm are then developed for this general class of distributions and a simulation study is carried out to evaluate the performance of the proposed estimation method. Model discrimination within the generalized gamma family is carried out by likelihood ratio test and information-based criteria. Finally, for the considered cutaneous melanoma data, the two-way flexibility of the COM-Poisson family and the generalized gamma family is utilized to carry out a two-way model discrimination to select a parsimonious competing cause distribution along with a suitable choice of a lifetime distribution that provides the best fit to the data.</p> / Doctor of Philosophy (PhD)

在WTO成立，各國國際化程度日益提高的同時，企業與個人進行跨國投資的情形也愈來愈普遍，跨國投資除了要考慮標的資產之報酬與波動性之外，尚須考量匯率變動所產生之風險與不確定性。當某一國外資產具有正向預期報酬率的同時，實現後的報酬率卻又不一定為正，正是因為匯率波動所產生的影響。又，傳統財務理論告訴我們，藉由增加投資組合中所有非完全正相關的資產個數可以有效的降低投資組合的非系統風險，因此投資人在進行投資時往往採用建構投資組合的方式取代持有少數資產的型態。然而，在建構跨通貨避險投資組合時，若是對於投資組合中的各項資產與外幣分別進行避險（分別利用衍生性商品避險），往往是費時、費力又不具有效率。因此，對於整個投資組合進行避險反而是一個比較好的方法，當投資組合價值發生變動時，可以即時對於各項資產部位與外幣分別做調整，遠較於對個別資產進行避險來的方便、快速且有效。 / In most cases, investment is made of building a portfolio rather than single asset. Therefore, it is necessary to develop techniques of valuing portfolio derivatives. Moreover, we consider a cross-currency portfolio that account for currency and interest rate risk. As interest rate is stochastic, we use Heath-Jarrow Morton (HJM) Approach to describe its dynamics. Applying Vorst (1992); Geman, Karoui and Rochet(1995), we derive the approximated close-form of the cross-currency portfolio option. In HJM Approach, it is difficult to acquire hedge ratios of options. We apply another method to build a hedging portfolio. Then, we perform numerical simulations to test its hedging efficiency and sensitivity with respect to different variables.

The aim of this study is to compare the performance of the four interest rate models (Vasicek Model, Cox Ingersoll Ross Model, Ho Lee Model and Black Der- man Toy Model) that are commonly used in pricing zero coupon bond options. In this study, 1{5 years US Treasury Bond daily data between the dates June 1, 1976 and December 31, 2007 are used. By using the four interest rate models, estimated option prices are compared with the real observed prices for the begin- ing work days of each months of the years 2004 and 2005. The models are then evaluated according to the sum of squared errors. Option prices are found by constructing interest rate trees for the binomial models based on Ho Lee Model and Black Derman Toy Model and by estimating the parameters for the Vasicek and the Cox Ingersoll Ross Models.

Diss. (sammanfattning) Stockholm : Handelshögskolan, 2008 Sammanfattning jämte 3 uppsatser

Made available in DSpace on 2010-04-20T20:54:49Z (GMT). No. of bitstreams: 0 Previous issue date: 2002-02-22T00:00:00Z / The objective of this dissertation is to analyze the use of simple restricted and optimum unrestricted monetary rules for the Brazilian economy, with special attention to the impact of the exchange rate in the transmission of monetary policy. The rules were found by a dynamic programming process e compared in terms of their economic efficiency, measured by the reduction of inflation and product variance. These results were used as a benchmark to evaluate the performance of the Brazilian inflationary target regime, since its implementation in July 1999. / O objetivo desta dissertação é analisar o uso de regras ótimas irrestritas e de regras simples restritas de política monetária para a economia brasileira, com especial atenção ao impacto da taxa de câmbio na transmissão da política monetária. As regras foram encontradas através de um processo de programação dinâmica e comparadas em termos da eficiência econômica de cada uma, medida pela redução da variância do produto e da inflação. Estes resultados serviram de referência para avaliar o desempenho do regime de metas de inflação no Brasil, desde a sua implementação em julho de 1999.

Afin de mieux connaitre puis d'optimiser les trajectoires suivies par les patients arrivés au stade terminal de leur insuffisance rénale chronique, il a été nécessaire de mettre au point des outils permettant de modéliser ces trajectoires complexes. Les différentes modalités de traitement n'ont pas été comparées une à une mais une approche globale a été privilégiée tenant compte d'une vision intégrée où les modalités de traitement sont considérées comme complémentaires et non concurrentielles. Ce travail de modélisation a utilisé des modèles à compartiments avec prise en compte de risque concurrents et un modèle de mélange pour données de survie avec fraction non à risque. Les paramètres des modèles ont été estimés à partir des données du registre du Réseau Épidémiologie et Information en Néphrologie (REIN). L'outil de prédiction développé a également pu être alimenté par les données de remboursement de l'assurance maladie (SNIIRAM) sur l'année 2009. Cette première version de l'outil a permis d'évaluer les conséquences en termes d'espérance de vie restreinte à 15 ans et de coût moyen par mois de différentes stratégies simulées de prise en charge des patients en IRCT dans le cadre d'une analyse médico-économique, en partenariat avec la Haute Autorité de Santé. L'objectif final de ce travail sera de proposer des outils d'aide à la décision reposant sur des stratégies de prise en charge les mieux adaptées aux besoins des patients. A terme, les outils développés lors de ce travail pourraient également servir de base à une plateforme de simulation afin d'accompagner les décideurs publics lors de la réflexion sur les schémas d'organisation sanitaire / In order to better understand and then optimize the trajectories followed by end-stage renal disease patients, it was necessary to develop tools to model these complex trajectories. The different treatment modalities were not compared but a comprehensive approach was preferred taking into account an integrated vision where treatment modalities are considered complementary and non-competitive. We used compartments models which took into account competitive risk and a mixture model for survival with fraction not at risk. The model parameters were estimated from the data from the Renal Epidemiology and Information Network registry. Reimbursement data from the national health insurance (SNIIRAM) were also used. The prediction tool developed was used to evaluate the consequences in terms of expected 15- years restricted lifetime and average cost per month for different strategies in a medicoeconomic analysis, in partnership with the Haute Autorité de Santé. The final aim of this work is to offer decision support tools based on strategies best adapted to patients’ needs. The tools developed in this work could also serve as a basis for a simulation platform to accompany public decision-makers in their reflection on health organization