The work presented in this dissertation can be grouped around three major themes. The first theme relates to risk, the second theme relates to asset pricing, whereas the third theme relates to serial correlation of asset returns. The three chapters of this dissertation investigate these themes Chapter Two analyses the behavior over time of market risk, aggregate idiosyncratic risk and correlations in portfolio of Taiwan listing stocks and studied pattern of aggregate correlation between the 3 most important Taiwan stock index and Taiwan value-weighted index. We find (1) Idiosyncratic risk is trended upwards; (2) The conditional stock returns correlation process is asymmetric. The implication of our finding is (1) It takes more stocks to achieve a given level of diversification; (2) Diversification strategies perform poorly in bear markets. Chapter Three investigates the role of the asset co-skewness and conditioning information in asset pricing. First, I estimate long-run predictive regressions of asset returns to test whether aggregate idiosyncratic risk is a price factor of industrial returns. Then I use data on Taiwan 19 industry portfolios to fit various assets pricing models. I find (1) the cross-sectional ctional correlation between 2 i £] (the gamma coefficient from the 3M-CAPM equation) and 3 i ϕ (the interaction coefficient from the CCAPM equation) is positive and fairly large. (2) The firm-level volatility is a good proxy for cay as conditioning information variable. (3) The gamma coefficient can pick up the extent of beta co-vary with the market wide excess-return over the business cycle. (4)among 19 industrial returns, the 2 industrial returns can be explained by 3M-CAPM; the 7 industrial returns can be explained by CCAPM; the 5 industrial returns can be explained by 3M-CAPM+CCAPM, Others can¡¦t be explained by either of three models. Chapter Four examines the impact of positive feedback trading behavior of the investors on the short-term dynamics of return for four Taiwan index futures contracts by utilizing the framework of the model developed by Sentana & Wadhwani(1992). Use of the Asymmetric Nonlinear Smooth Transition GARCH Model demonstrates that positive feedback trading of investors is the main determinant of short-term dynamics of return for Taiwan index futures contracts. Moreover, it shows that positive trading is more intense during market declines than it is during market advances due to extensive use of spot-loss trading for investors. Finally it is shown that the sophisticated professional investors intend to take positive feedback trades wave so that they lead to increase positive feedback trading in Taiwan index futures since the government opened the enterprises for managed futures.

In this thesis we survey several interpolation methods that are used to construct the yield curves. We also review the bootstrapping and show that the bootstrap is closely connected to the interpolation in the case of bootstrapping yield curve. The most effort is dedicated, in this thesis, on the monotone convex method and on investigation of the difficulties to get accurate yield curves.

Most research on stock prices is based on the present value model or the more general consumption-based model. When applied to real economic data, both of them are found unable to account for both the stock price level and its volatility. Three essays here attempt to both build a more realistic model, and to check whether there is still room for bubbles in explaining fluctuations in stock prices. In the second chapter, several innovations are simultaneously incorporated into the traditional present value model in order to produce more accurate model-based fundamental prices. These innovations comprise replacing with broad dividends the more narrow traditional dividends that are more commonly used, a nonlinear artificial neural network (ANN) forecasting procedure for these broad dividends instead of the more common linear forecasting models for narrow traditional dividends, and a stochastic discount rate in place of the constant discount rate. Empirical results show that the model described above predicts fundamental prices better, compared with alternative models using linear forecasting process, narrow dividends, or a constant discount factor. Nonetheless, actual prices are still largely detached from fundamental prices. The bubble-like deviations are found to coincide with business cycles. The third chapter examines possible cointegration of stock prices with fundamentals and non-fundamentals. The output gap is introduced to form the non-fundamental part of stock prices. I use a trivariate Vector Autoregression (TVAR) model and a single equation model to run cointegration tests between these three variables. Neither of the cointegration tests shows strong evidence of explosive behavior in the DJIA and S&P 500 data. Then, I applied a sup augmented Dickey-Fuller test to check for the existence of periodically collapsing bubbles in stock prices. Such bubbles are found in S&P data during the late 1990s. Employing econometric tests from the third chapter, I continue in the fourth chapter to examine whether bubbles exist in stock prices of conventional economic sectors on the New York Stock Exchange. The ‘old economy’ as a whole is not found to have bubbles. But, periodically collapsing bubbles are found in Material and Telecommunication Services sectors, and the Real Estate industry group.

The dissertation describes the issue of purchase financing of a long-term property from external financial sources in the concrete company. The dissertation is engaged in analysis of investment credit and finacial leasing offers and benchmarking of both. On the basis of the selected decision-making method there is chosen one financial product in the dissertation, which is most suitable product for financing of new equipment in the defined company.

No description available.

本文研究目的是在探討跨國的投資者在面對國際投資日益開放的同時，是否充分的利用國際上的資產市場以分散投資者所面對的風險。本文參考Brandt, Cochrane, and Santa-Clara（2006），建立一種衡量國際間風險分散程度的風險分散指數，並以台灣為本國基準，取台灣前三大貿易夥伴：美國、日本、中國為外國基準，以分析此四國的國際風險分散指數，衡量的標的為各國資產市場中的主要股票交易市場指數報酬率，以分析各國風險分散的情形。此外我們亦嘗試解釋國際間風險分散的情形並解釋我們所計算出的結果，並進行一些模型參數的演算，以分析在面對其他總體變化時將會遇到的情形。經由本文的實證研究發現，對於台灣而言，在國際間的風險分散程度是偏高的，亦即，面對此四國的資產市場，台灣投資者的投資配置符合風險分散的趨勢，當匯率波動愈小時，國際風險分散程度亦將愈高，大致上與Brandt et al.(2006)之以美國為本國基準所得之國際風險分散程度結果相似。 / This thesis tries to discuss if risks are shared internationally by the international asset markets. This study refers to the Brandt, Cochrane, and Santa-Clara (2006) which built an international risk sharing index to measure the degree of international risk sharing. We set up a international risk sharing indices between Taiwan and its important trading partners, US, Japan and China by the asset returns composed by the main stock indices in each country. Furthermore, we try to explain the empirical results and to show how the degree of international risk sharing will different with the changes of the macro-variables. Our empirical analyses find that the degree of the international risk sharing for Taiwan using asset-based method is better than we think. In addition, the empirical results of this thesis are similar to Brandt et al. (2006) that if the volatility of exchange rates declines, the degree of the international risk sharing will be better.

Submitted by Laura Simonsen Leal (arula@fgvmail.br) on 2016-06-22T12:59:34Z No. of bitstreams: 1 laura_tese14(final).pdf: 1036208 bytes, checksum: eac8007047195b00593f30884e72a3e2 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2016-06-22T13:18:16Z (GMT) No. of bitstreams: 1 laura_tese14(final).pdf: 1036208 bytes, checksum: eac8007047195b00593f30884e72a3e2 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2016-06-29T13:38:50Z (GMT) No. of bitstreams: 1 laura_tese14(final).pdf: 1036208 bytes, checksum: eac8007047195b00593f30884e72a3e2 (MD5) / Made available in DSpace on 2016-06-29T13:39:56Z (GMT). No. of bitstreams: 1 laura_tese14(final).pdf: 1036208 bytes, checksum: eac8007047195b00593f30884e72a3e2 (MD5) Previous issue date: 2016-03-21 / The main purpose of this paper is to propose a methodology to obtain a hedge fund tail risk measure. Our measure builds on the methodologies proposed by Almeida and Garcia (2015) and Almeida, Ardison, Garcia, and Vicente (2016), which rely in solving dual minimization problems of Cressie Read discrepancy functions in spaces of probability measures. Due to the recently documented robustness of the Hellinger estimator (Kitamura et al., 2013), we adopt within the Cressie Read family, this specific discrepancy as loss function. From this choice, we derive a minimum Hellinger risk-neutral measure that correctly prices an observed panel of hedge fund returns. The estimated risk-neutral measure is used to construct our tail risk measure by pricing synthetic out-of-the-money put options on hedge fund returns of ten specific categories. We provide a detailed description of our methodology, extract the aggregate Tail risk hedge fund factor for Brazilian funds, and as a by product, a set of individual Tail risk factors for each specific hedge fund category.

Given the wide range of macroeconomic, financial and econometric frameworks commonly used to accommodate uncomfortable empirical evidence associated with the Forex market, this article aims to model and predict the monthly variation in American Dollar-Brazilian Real exchange rate, from January 2000 to December 2009, based on asset pricing theory. Wang (2008) and Engel and West (2005) are closer to ours, in terms of fundamentals of finance, while methodologically, we are close to Chong, Chung and Ahmad (2002) and da Costa et al. (2010). Our work is relevant to the empirical literature, since the prediction results are better than the random walk approach ones. The prediction error is about 5% and 14% for the exchange rate variation and in level, respectively. In 57.5% of the changes, our model predicts the correct change direction. The main contribution based on this framework, already used to understand the Forward Premium Puzzle for advancedeconomies, consists in the derivation and the implications of a system of linear relationships characterized by a Bivariate Generalized Autoregressive Conditional Heteroskedasticity-in-Mean (GARCH-M), useful empirically, once we have extracted a time series for a Stochastic Discount Factor (SDF) able to price the covered and the uncovered trading with U.S. Government bonds. The results suggest to the theoretical literature that, at least for monthly frequency, one should not omit the temporal variation of conditional moments of the second order. The hypothesis about the lognormal distribution of discounted returns and a parsimonious specification for conditional Heteroskedastic models can influence the predictive power of SDF, as well as the effects of the inclusion of risk premium. / Diante da vasta gama de arcabouÃos macroeconÃmicos, economÃtricos e financeiros que visam acomodar evidÃncias empÃricas desconfortÃveis associadas ao mercado cambial, este artigo visa modelar e prever a variaÃÃo mensal entre as moedas real brasileiro e dÃlar americano, de janeiro de 2000 a dezembro de 2009, baseado na teoria de apreÃamento de ativos. Este estudo agrega-se à literatura empÃrica, ao obter resultados preditivos superiores a um modelo de passeio aleatÃrio, com erros de previsÃo da ordem de grandeza de 5% e 14% para depreciaÃÃo e para o cÃmbio em nÃvel, respectivamente, e um acerto em 57,5% das vezes com relaÃÃo à direÃÃo da variaÃÃo cambial. Alinhado em fundamentos a Wang (2008) e Engel e West (2005) e metodologicamente a Chong, Chung e Ahmad (2002) e da Costa et al. (2010), a principal contribuiÃÃo no uso deste arcabouÃo, jà utilizado no entendimento do Forward Premium Puzzle para economias avanÃadas, consiste na derivaÃÃo e nas implicaÃÃes de um sistema de relaÃÃes lineares caracterizado por um Generalized Autoregressive Conditional Heteroskedasticity-in- Mean (GARCH-M) bivariado, o qual pode ser testÃvel, a partir da extraÃÃo via componentes principais da sÃrie temporal para um Fator EstocÃstico de Desconto capaz de apreÃar operaÃÃes coberta e descoberta de aquisiÃÃo de tÃtulos do governo americano. Os resultados sugerem, ainda, à literatura teÃrica que, ao menos para frequÃncia mensal, nÃo se deve desprezar a variaÃÃo temporal dos momentos condicionais de segunda ordem. A hipÃtese sobre a distribuiÃÃo lognormal dos retornos descontados e uma especificaÃÃo parcimoniosa para modelos de heterocedasticidade condicional podem prejudicar a capacidade preditiva associada do Fator EstocÃstico de Desconto, assim como os efeitos da incorporaÃÃo do prÃmio de risco.

Submitted by Fernando Luiz Cordeiro (fernandolpcordeiro@gmail.com) on 2018-06-22T20:12:54Z No. of bitstreams: 1 SDFDecomposition_finalv.pdf: 845158 bytes, checksum: 5ceb09364caa557c2198d20e41ee5522 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2018-06-29T19:55:51Z (GMT) No. of bitstreams: 1 SDFDecomposition_finalv.pdf: 845158 bytes, checksum: 5ceb09364caa557c2198d20e41ee5522 (MD5) / Made available in DSpace on 2018-07-02T18:21:34Z (GMT). No. of bitstreams: 1 SDFDecomposition_finalv.pdf: 845158 bytes, checksum: 5ceb09364caa557c2198d20e41ee5522 (MD5) Previous issue date: 2018 / In this work, we use the framework developed by Christensen (2017) and Hansen and Scheinkman (2009) to study the long-term interest rates in the US and Brazil. In our first set of results, we assess Christensen (2017) estimator using Monte Carlo simulations in order to evaluate the estimator performance in the rare disasters and habit formation asset pricing models. Generally, the estimation quality is not uniform and, in some cases, requires a large sample size to attain reasonable results. Next, we apply the nonparametric estimation to US and Brazilian data and estimate how the yield of a long-term zero-coupon bond responds to the initial state of the economy. Using a flexible specification for the state process leads to an interesting non-linear response of the yield to changes in the initial state. We find that the Brazilian long-term interest rate is about 5.3% per year.

In this study we analyse relationship between classical approach to valuation of linear interest rate derivatives and post-crisis approach when the valuation better reflects credit and liquidity risk and economic costs of the transaction on top of the risk-free rate. We discuss the method of collateralization to diminish counterparty credit risk, its impact on derivatives pricing, and how overnight indexed swap (OIS) rates became market standard for discounting future derivatives' cash flows. We show that using one yield curve to both estimating the forward rates and discounting the expected future cash flows is no longer possible in arbitrage free market. We review in detail three fundamental interest rate derivatives (interest rate swap, basis swap and cross-currency swap) and we derive discount factors used for calculating the present value of expected future cash flows that are consistent with market quotes. We also investigate drivers behind basis spreads, in particular, credit and liquidity risk, and supply and demand forces, and show how they impact valuation of derivatives. We analyse Czech swap rates and propose an estimation of CZK OIS curve and approximate discount rates in case of cross-currency swaps. Finally, we discuss inflation markets and consistent valuation of inflation swaps.