This paper uses a multi-factor Arbitrage Pricing model to measure the systematic risks of U.S. Foreign Direct Investments (FDI) in the largest emerging markets of Latin America: Argentina, Brazil, Chile, and Mexico. The Arbitrage Pricing Theory (APT) states that returns on investments are exposed to and affected by a number of economy-wide factors or risks. Moreover, risk is defined as the potential losses due to the unanticipated or unexpected changes in the systematic risk factors . Because the unexpected changes in those factors account for the discrepancies between expected and actual returns, we can measure systematic risk by using traditional econometrics and multivariable analysis. Essentially, APT postulates expected returns are a linear function of unexpected changes in various regressors. The magnitude and sign of the coefficients generated provide a way to obtain a dollar denominated time explicit measure of risk. This model is estimated with a variety of estimators and it identifies four risk factors: the annual growth rates of Gross Domestic Product (GDP), money supply (M1), total exports, and total external debt, as determinants of returns. The Ordinary Least Square (OLS) results are somewhat robust--three out of four factors have the expected sign, thus supporting the hypothesis. GLS procedures reveal similar results. / Master of Arts

No / By assuming that all uninsurable risk is permanent, a closed form multi-period, multiple agent and multiple asset incomplete market asset pricing model is presented that allows for jump as well as diffusion risk to personal income.

General content: Current methods of estimation of cost of capital in the emerging markets are often neglecting various contradictions with the essentials of the model structure and assumptions. As the result of such imprecisions, the cost of equity is often understated (overstated). This thesis will attempt to assess current level of emerging market integration, liquidity and concentration. This will be followed by evaluation of traditional and alternative models for estimation of cost of equity. The author will address several currently available models such as Credit Rating Model, D-CAPM model, various versions of traditional CAPM models. Furthermore, she will compare and contrast their limitations taking into account the context of emerging markets. The testing of the models will be performed on country basis through the means of index data. In the last chapter, discussion of the results and possible improvements of the valuation approaches will take place.

In this paper, we obtain convergence of solutions of stochastic differential systems with memory gap to those with full finite memory. More specifically, solutions of stochastic differential systems with memory gap are processes in which the intrinsic dependence of the state on its history goes only up to a specific time in the past. As a consequence of this convergence, we obtain a new existence proof and approximation scheme for stochastic functional differential equations (SFDEs) whose coefficients have linear growth. In mathematical finance, an option pricing formula with full finite memory is obtained through convergence of stock dynamics with memory gap to stock dynamics with full finite memory.

The Paradise Papers represent one of the largest public data leaks comprising 13.4 million con_dential electronic documents. A dominant theory presented by Neal (2014) and Gri_th, Miller and O'Connell (2014) concerns the use of these offshore services in the relocation of intellectual property for the purposes of compliance, privacy and tax avoidance. Building on the work of Fernandez (2011), Billio et al. (2016) and Kou, Peng and Zhong (2018) in Spatial Arbitrage Pricing Theory (s-APT) and work by Kelly, Lustig and Van Nieuwerburgh (2013), Ahern (2013), Herskovic (2018) and Proch_azkov_a (2020) on the impacts of network centrality on _rm pricing, we use market response, discussed in O'Donovan, Wagner and Zeume (2019), to characterise the role of offshore services in securities pricing and the transmission of price risk. Following the spatial modelling selection procedure proposed in Mur and Angulo (2009), we identify Pro_t Margin and Price-to-Research as firm-characteristics describing market response over this event window. Using a social network lag explanatory model, we provide evidence for social exogenous effects, as described in Manski (1993), which may characterise the licensing or exchange of intellectual property between connected firms found in the Paradise Papers. From these findings, we hope to provide insight to policymakers on the role and impact of offshore services on securities pricing.

This dissertation describes the development and empirical testing of strategic asset pricing theory (STRAPT). This explains the processes by which investors form ideas and judgments about a given firm‘s competitive strategy, and their ultimate belief about the impact these strategies will have on the firm‘s future stock price. My model explicitly accounts for information investors associate with dimensions of a firm‘s pattern of competitive actions, how investors process and interpret this information, and how they form opinions about the relationship between competitive strategy and future value of the firm‘s equity shares. Thus, by accounting for observed competitive behavior, my model stands in stark contrast to asset pricing theory – which asserts that financial markets are efficient and all investors rational – and instead sides with Hirshleifer (2001) who contends some investors form biases, and that the next stage of asset pricing theory is to look at how investors form opinions about stocks. Drawing from some unique theoretical areas: information perception/salience, information processing, social judgment, and decision making, my dissertation develops a conceptual model of this process by which long-buyers and short-sellers view and react to patterns of competitive actions carried out among rivals. My findings about how long-buyers regard between-firm ―differences‖ in the pattern of competitive actions the firm carries out over time, or strategic heterogeneity, are generally supportive of Miller and Chen (1996), who posited that distinctive processes such as heterogeneous strategies may decrease the ―legitimacy‖ of the firm. They exhibit a negative relationship with stock returns. Due to a different decision-making process, short-sellers come to different conclusions. Strategic heterogeneity exhibits a U-shaped relationship with short interest. My findings pertaining to how long-buyers value the number of strategic moves carried out by a firm generally support Young, Smith, and Grimm (1996) and Ferrier (2001). Specifically, I demonstrate that these investors value exposure to a firm, and this translates into positive stock market returns. Short-sellers, on the other hand, see the value of a large number of strategic actions only to an extent. Through their systematic analysis, they subscribe to the Porter (1980) and Shamsie (1990) viewpoint that more is not always better. This results in a U-shaped relationship with short interest.

This dissertation studies the impact of multiple pre-specified sources of risk in the return of three non-overlapping groups of countries, through an Arbitrage Pricing Theory (APT) model. The groups are composed of emerging and developed markets. Emerging markets have become important players in the world economy, especially as capital receptors, but they were not included in the majority of previous related works. Two strategies are used to choose two set of risk factors. The first one is to use macroeconomic variables, as prescribed by most of the literature, such as world excess return, exchange rates, variation in the spread between Eurodollar deposit tax and U.S. Treasury bill (TED spread) and change in the oil price. The second strategy is to extract factors by using a principal component analysis, designated as statistical factors. The first important result is a great resemblance between the first statistical factor and the world excess return. We estimate the APT model using two statistical methodologies: Iterated Nonlinear Seemingly Unrelated Regression (ITNLSUR) by McElroy and Burmeister (1988) and the Generalized Method Moments (GMM) by Hansen (1982). The results from both methods are very similar. With macroeconomic variables, only the world excess of return is priced in the three groups with a premium varying from 4.4% to 6.3% per year and, in the model with statistical variables, only the first statistical factor is priced in all groups with a premium varying from 6.2% to 8.5% per year. / Essa dissertação estuda o impacto de múltiplas fontes de riscos pré-especificados nos retornos de três grupos de países não sobrepostos, através de um modelo de Teoria de Precificação por Arbitragem (APT). Os grupos são compostos por mercados emergentes e desenvolvidos. Mercados emergentes tornaram-se importantes na economia mundial, especialmente como receptores de capital, mas não foram inclusos na maioria dos trabalhos correlatos anteriores. Duas estratégias foram adotadas para a escolha de dois conjuntos de fatores de risco. A primeira foi utilizar variáveis macroeconômicas, descritas na maior parte da literatura, como e excesso de retorno da carteira mundial, taxas de câmbio, variação da diferença entre a taxa de depósito em Eurodólar e a U.S. Treasury Bill (TED Spread) e mudanças no preço do petróleo. A segunda estratégia foi extrair fatores de risco através de uma análise de componentes principais, denominados fatores estatísticos. O primeiro resultado importante é a grande semelhança entre o primeiro fator estatístico e o retorno da carteira mundial. Nós estimamos o modelo APT usando duas metodologias estatísticas: Regressões Aparentemente não Correlacionadas Iteradas (ITNLSUR) de McElroy e Burmeister (1988) e o Método dos Momentos Generalizados (GMM) de Hansen (1982). Os resultados de ambas as metodologias são muito similares. Utilizando variáveis macroeconômicas, apenas o excesso de retorno da carteira mundial é precificado nos três grupos com prêmios variando de 4,4% a 6.3% ao ano e, no modelo com variáveis estatísticas, apenas o primeiro fator estatístico é precificado em todos os grupos com prêmios que variam entre 6,2% a 8,5% ao ano.

<p><font face="F59" size="3"><font face="F59" size="3"> <p align="left">This study examines the relationship between stock returns and market segmentation. Monthly returns of stocks listed on the JSE from 1997-2007 are analysed using mostly the analytic factor and cluster analysis techniques. Evidence supporting the use of multi-index models in explaining the return generating process on the JSE is found. The results provide additional support for Van Rensburg (1997)'s hypothesis on market segmentation on the JSE.</p> </font></font></p>

Spending on investments in integrative information systems (IIS) has considerably risen during the last few years due to a high need for linking various information systems. The demand for integrating the systems stems from developments like mergers and acquisitions and is typically satisfied in practice using Enterprise Application Integration solutions, Enterprise Resource Planning systems, Portals, or Data Warehouses. For the valuation of such an investment previous literature recommends the use of a real options analysis (ROA) since traditional capital budgeting methods such as the Net Present Value underestimate its value. Contrary, the ROA is able to conveniently account for managerial flexibility, represented by the possibility to implement follow-on opportunities, generated by the IIS. However, in practice ROA suffers from a lack of appliance mainly because of its complexity. This thesis precisely closes this gap and develops a simplified process model for a ROA by exactly tailoring the broad real options concept to the requirements of an investment valuation of IIS. For that, it reviews option pricing models from the financial world as well as previous research in the area of ROA and creates the desired model by conducting a ROA for four case studies in detail. The study reveals new findings concerning the question of how a decision-maker can apply the real options method and at the same time, when he/she is able to abandon a detailed ROA or a ROA at all. (author's abstract)

<p><font face="F59" size="3"><font face="F59" size="3"> <p align="left">This study examines the relationship between stock returns and market segmentation. Monthly returns of stocks listed on the JSE from 1997-2007 are analysed using mostly the analytic factor and cluster analysis techniques. Evidence supporting the use of multi-index models in explaining the return generating process on the JSE is found. The results provide additional support for Van Rensburg (1997)'s hypothesis on market segmentation on the JSE.</p> </font></font></p>