Automatic model selection for forecasting brazilian stock returns

This study aims to contribute on the forecasting literature in stock return for emerging markets. We use Autometrics to select relevant predictors among macroeconomic, microeconomic and technical variables. We develop predictive models for the Brazilian market premium, measured as the excess return over Selic interest rate, Itaú SA, Itaú-Unibanco and Bradesco stock returns. We nd that for the market premium, an ADL with error correction is able to outperform the benchmarks in terms of economic performance. For individual stock returns, there is a trade o between statistical properties and out-of-sample performance of the model.

Automatic model selection for forecasting Brazilian stock returns

This study aims to contribute on the forecasting literature in stock return for emerging markets. We use Autometrics to select relevant predictors among macroeconomic, microeconomic and technical variables. We develop predictive models for the Brazilian market premium, measured as the excess return over Selic interest rate, Itaú SA, Itaú-Unibanco and Bradesco stock returns. We find that for the market premium, an ADL with error correction is able to outperform the benchmarks in terms of economic performance. For individual stock returns, there is a trade o between statistical properties and out-of-sample performance of the model.

The Sao Paulo stock exchange and the economic stabilization

The inflationary stabilization recently observed in Brazil brings a lot of changes in all aspects of the country’s economic life. In this work we look at the impacts on the stock market, specifically at Bovespa - the São Paulo Stock Exchange. We analyze the leading variables and statistics that describe Bovespa’s behavior, such as volatility and systematic risk, comparing the four years preceding and the four years after 1994, when the Real Plan was implemented. In order to eliminate exogenous influences, we use control series made with international Stock Exchanges Indexes. The results show that after 1994 there was reduced volatility, increased trade volume, reduced efficiency of the Bovespa Index and no changes in systematic risk.

Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study

Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The Örst reduces parameter space by imposing long-term restrictions on the behavior of economic variables as discussed by the literature on cointegration, and the second reduces parameter space by imposing short-term restrictions as discussed by the literature on serial-correlation common features (SCCF). Our simulations cover three important issues on model building, estimation, and forecasting. First, we examine the performance of standard and modiÖed information criteria in choosing lag length for cointegrated VARs with SCCF restrictions. Second, we provide a comparison of forecasting accuracy of Ötted VARs when only cointegration restrictions are imposed and when cointegration and SCCF restrictions are jointly imposed. Third, we propose a new estimation algorithm where short- and long-term restrictions interact to estimate the cointegrating and the cofeature spaces respectively. We have three basic results. First, ignoring SCCF restrictions has a high cost in terms of model selection, because standard information criteria chooses too frequently inconsistent models, with too small a lag length. Criteria selecting lag and rank simultaneously have a superior performance in this case. Second, this translates into a superior forecasting performance of the restricted VECM over the VECM, with important improvements in forecasting accuracy ñreaching more than 100% in extreme cases. Third, the new algorithm proposed here fares very well in terms of parameter estimation, even when we consider the estimation of long-term parameters, opening up the discussion of joint estimation of short- and long-term parameters in VAR models.

Tests of conditional asset pricing models in the brazilian stock market

In this paper, we test a version of the conditional CAPM with respect to a local market portfolio, proxied by the Brazilian stock index during the period 1976-1992. We also test a conditional APT modeI by using the difference between the 3-day rate (Cdb) and the overnight rate as a second factor in addition to the market portfolio in order to capture the large inflation risk present during this period. The conditional CAPM and APT models are estimated by the Generalized Method of Moments (GMM) and tested on a set of size portfolios created from individual securities exchanged on the Brazilian markets. The inclusion of this second factor proves to be important for the appropriate pricing of the portfolios.

Do shocks permanently change output? : Local persistency in economic time series

While it is recognized that output fuctuations are highly persistent over certain range, less persistent results are also found around very long horizons (Conchrane, 1988), indicating the existence of local or temporary persistency. In this paper, we study time series with local persistency. A test for stationarity against locally persistent alternative is proposed. Asymptotic distributions of the test statistic are provided under both the null and the alternative hypothesis of local persistency. Monte Carlo experiment is conducted to study the power and size of the test. An empirical application reveals that many US real economic variables may exhibit local persistency.

Environmental protection and economic growth

This paper explores the link between environmental policy and economic growth by employing an extension of the AK Growth Model. We include a state equation for renewable natural resources. We assume that the change in environmental regulations induces costs and that economic agents also derive some utility from capital stock accumulation vis-`a-vis the environment. Using the Hopf bifurcation theorem, we show that cyclical environmental policy strategies are optimal, providing theoretical support for the Environmental Kuznets Curve.

Plano real e a bolsa de valores de São Paulo

A redução dos índices de inflação introduzida no Brasil pelo Plano Real trouxe alterações nos mais diferentes aspectos da vida econômica do país. Este trabalho visa analisar as principais alterações provocadas nos mercados de ações, analisando os impactos na Bovespa - Bolsa de Valores de São Paulo. Para tal foram analisadas as principais variáveis e medidas estatísticas que descrevem a Bovespa, como, por exemplo, a volatilidade e risco sistemático, nos períodos de quatro anos anteriores e posteriores ao início do Plano Real. De forma a separar os efeitos causados pelo Plano Real de outros de extensão global, utilizamos séries de controles baseadas em índices de bolsas da América Latina e de mercados centrais. Os resultados das análises realizadas indicam que houve uma redução da volatilidade no período pós-real em relação ao pré-real, o risco sistemático dos ativos brasileiros não se alterou, e o Ibovespa tornou-se menos eficiente em comparação com uma carteira formada pelos índices dos mercados centrais.

Essays in corporate risk management

This research investigates the factors that lead Latin American non-financial firms to manage risks using derivatives. The main focus is on currency risk management. With this purpose, this thesis is divided into an introduction and two main chapters, which have been written as stand-alone papers. The first paper describes the results of a survey on derivatives usage and risk management responded by the CFOs of 74 Brazilian non-financial firms listed at the São Paulo Stock Exchange (BOVESPA), and the main evidence found is: i) larger firms are more likely to use financial derivatives; ii) foreign exchange risk is the most managed with derivatives; iii) Brazilian managers are more concerned with legal and institutional aspects in using derivatives, such as the taxation and accounting treatment of these instruments, than with issues related to implementing and maintaining a risk management program using derivatives. The second paper studies the determinants of risk management with derivatives in four Latin American countries (Argentina, Brazil, Chile and Mexico). I investigate not only the decision of whether to use financial derivatives or not, but also the magnitude of risk management, measured by the notional value of outstanding derivatives contracts. This is the first study, to the best of my knowledge, to use derivatives holdings information in emerging markets. The use of a multi-country setting allows the analysis of institutional and economic factors, such as foreign currency indebtedness, the high volatility of exchange rates, the instability of political and institutional framework and the development of financial markets, which are issues of second-order importance in developed markets. The main contribution of the second paper is on the understanding of the relationship among currency derivatives usage, foreign debt and the sensitivity of operational earnings to currency fluctuations in Latin American countries. Unlikely previous findings for US firms, my evidence shows that derivatives held by Latin American firms are capable of producing cash flows comparable to financial expenses and investments, showing that derivatives are key instruments in their risk management strategies. It is also the first work to show strong and robust evidence that firms that benefit from local currency devaluation (e.g. exporters) have a natural currency hedge for foreign debt that allows them to bear higher levels of debt in foreign currency. This implies that firms under this revenue-cost structure require lower levels of hedging with derivatives. The findings also provide evidence that large firms are more likely to use derivatives, but the magnitude of derivatives holdings seems to be unrelated to the size of the firm, consistent with findings for US firms.

Implementação de sistemas de gestão integrados no setor de construção: estudo de casos brasileiros

As pressões de mercado, os programas de abertura financeira, a desregulamentação da atividade produtiva e a diminuição de barreiras protecionistas afetam significativamente a competitividade da indústria nacional. Outras mudanças, não apenas econômicas, mas sociais, políticas e tecnológicas, também pressionam as organizações a adotar novas estratégias empresariais e deixam claro que modelos de gestão tradicionais já não são mais suficientes para enfrentar estes novos desafios. Na busca de diferenciais competitivos, as empresas têm adotado sistemas de gestão da qualidade, de gestão ambiental e de gestão da saúde e segurança do trabalhador. Como forma de evidenciar a terceiros sua preocupação simultânea com estas três disciplinas, as empresas têm buscado a certificação integrada destes sistemas por meio das normas ISO 9001, ISO 14001 e OHSAS 18001. Surgem, assim, os Sistemas de Gestão Integrados (SGIs), objetos de pesquisa deste estudo. O recorte é setorial, sendo que o setor de construção foi escolhido devido a características como singularidade de seus produtos, alto impacto ambiental e alto índice de acidentes de trabalho. Com o objetivo de investigar como os SGIs foram implementados no setor de construção, foram escolhidos três casos de empresas sabidamente adotantes deste modelo de gestão. Foram analisadas as motivações, o processo de implementação e certificação do sistema, os fatores críticos de sucesso, as dificuldades encontradas e os benefícios colhidos com a adoção de SGIs. A pesquisa confirmou estudos anteriores que demonstram que a motivação, dependendo do contexto em que as empresas se inserem, pode ser por necessidade de maior competitividade, de legitimação, ou ainda, por responsabilidade ambiental de sua liderança. Os fatores críticos de sucesso são, dentre outros, comprometimento da alta administração, comunicação eficiente com as partes interessadas, disponibilidade de recursos e maturidade das equipes. As dificuldades encontradas foram a valorização excessiva de resultados econômico-financeiros, a complexidade do modelo adotado, a utilização burocrática do sistema, a falta de maturidade e preparo dos profissionais, o porte dos projetos, o perfil de competências dos profissionais e variados tipos de resistências. A adoção do SGI nas empresas estudadas esteve condicionada a situações do cenário econômico, do alto índice de terceirização verificado no setor e às dificuldades com a qualificação da mão-de-obra. Não obstante as dificuldades e os condicionantes, o SGI trouxe vários benefícios para as organizações e, um dado relevante, é que ele pode desencadear reações positivas ao longo da cadeia de valor, uma vez que as empresas adotantes de SGI passam a ser mais exigentes em relação a seus fornecedores.

Public investment in basic education and economic growth

The main objective of this paper was to visualize the relation between government spending on basic education and the human capital accumulation process, observing the impacts of this spending on individual investments in higher education, and on economic growth. It is used an overlapping-generations model where the government tax the adult generation and spent it in basic education of the next generations. It was demonstrated that the magnitude of the marginal effect of government spending in basic education on growth crucially depends on public budget constrains. The paper explains why some countries with a lot of public investment in basic education growth at low rates. In that sense if a country has only a lot of public investment in basic education without investment in higher education it may growth at low rates because the taxation can cause distortions in the agents incentives to invest in higher education.

Essays on regulation and risk

In this thesis, we investigate some aspects of the interplay between economic regulation and the risk of the regulated firm. In the first chapter, the main goal is to understand the implications a mainstream regulatory model (Laffont and Tirole, 1993) have on the systematic risk of the firm. We generalize the model in order to incorporate aggregate risk, and find that the optimal regulatory contract must be severely constrained in order to reproduce real-world systematic risk levels. We also consider the optimal profit-sharing mechanism, with an endogenous sharing rate, to explore the relationship between contract power and beta. We find results compatible with the available evidence that high-powered regimes impose more risk to the firm. In the second chapter, a joint work with Daniel Lima from the University of California, San Diego (UCSD), we start from the observation that regulated firms are subject to some regulatory practices that potentially affect the symmetry of the distribution of their future profits. If these practices are anticipated by investors in the stock market, the pattern of asymmetry in the empirical distribution of stock returns may differ among regulated and non-regulated companies. We review some recently proposed asymmetry measures that are robust to the empirical regularities of return data and use them to investigate whether there are meaningful differences in the distribution of asymmetry between these two groups of companies. In the third and last chapter, three different approaches to the capital asset pricing model of Kraus and Litzenberger (1976) are tested with recent Brazilian data and estimated using the generalized method of moments (GMM) as a unifying procedure. We find that ex-post stock returns generally exhibit statistically significant coskewness with the market portfolio, and hence are sensitive to squared market returns. However, while the theoretical ground for the preference for skewness is well established and fairly intuitive, we did not find supporting evidence that investors require a premium for supporting this risk factor in Brazil.

On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century

Lucas (1987) has shown a surprising result in business-cycle research: the welfare cost of business cycles are very small. Our paper has several original contributions. First, in computing welfare costs, we propose a novel setup that separates the effects of uncertainty stemming from business-cycle fluctuations and economic-growth variation. Second, we extend the sample from which to compute the moments of consumption: the whole of the literature chose primarily to work with post-WWII data. For this period, actual consumption is already a result of counter-cyclical policies, and is potentially smoother than what it otherwise have been in their absence. So, we employ also pre-WWII data. Third, we take an econometric approach and compute explicitly the asymptotic standard deviation of welfare costs using the Delta Method. Estimates of welfare costs show major differences for the pre-WWII and the post-WWII era. They can reach up to 15 times for reasonable parameter values -β=0.985, and ∅=5. For example, in the pre-WWII period (1901-1941), welfare cost estimates are 0.31% of consumption if we consider only permanent shocks and 0.61% of consumption if we consider only transitory shocks. In comparison, the post-WWII era is much quieter: welfare costs of economic growth are 0.11% and welfare costs of business cycles are 0.037% - the latter being very close to the estimate in Lucas (0.040%). Estimates of marginal welfare costs are roughly twice the size of the total welfare costs. For the pre-WWII era, marginal welfare costs of economic-growth and business- cycle fluctuations are respectively 0.63% and 1.17% of per-capita consumption. The same figures for the post-WWII era are, respectively, 0.21% and 0.07% of per-capita consumption.

On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century

Lucas(1987) has shown a surprising result in business-cycle research: the welfare cost of business cycles are very small. Our paper has several original contributions. First, in computing welfare costs, we propose a novel setup that separates the effects of uncertainty stemming from business-cycle uctuations and economic-growth variation. Second, we extend the sample from which to compute the moments of consumption: the whole of the literature chose primarily to work with post-WWII data. For this period, actual consumption is already a result of counter-cyclical policies, and is potentially smoother than what it otherwise have been in their absence. So, we employ also pre-WWII data. Third, we take an econometric approach and compute explicitly the asymptotic standard deviation of welfare costs using the Delta Method. Estimates of welfare costs show major diferences for the pre-WWII and the post-WWII era. They can reach up to 15 times for reasonable parameter values = 0:985, and = 5. For example, in the pre-WWII period (1901-1941), welfare cost estimates are 0.31% of consumption if we consider only permanent shocks and 0.61% of consumption if we consider only transitory shocks. In comparison, the post-WWII era is much quieter: welfare costs of economic growth are 0.11% and welfare costs of business cycles are 0.037% the latter being very close to the estimate in Lucas (0.040%). Estimates of marginal welfare costs are roughly twice the size of the total welfare costs. For the pre-WWII era, marginal welfare costs of economic-growth and business-cycle uctuations are respectively 0.63% and 1.17% of per-capita consumption. The same gures for the post-WWII era are, respectively, 0.21% and 0.07% of per-capita consumption.

Essays on economic regulation

It is known that stock prices of public listed regulated companies react to price revisions by the regulator, and that the information conveyed by this price reaction might be used by the regulator on the contract design. This paper builds on Laffont and Tirole's (1986) regulation model with observable costs to better understand the effects the inclusion of the stock market can have on the regulator-regulated firm relationship. Our numerical simulations show that the inclusion of the market induce more powerful incentive schemes, with higher cost-reducing efforts, smaller informational rent by the firms and higher overall social welfare. In particular, we find that when the regulator is committed, the presence of short-term investors can make the first-best contract feasible, and that in the non-commitment case the market affects the firm's strategy by making it reveal more information about its cost than it normally would.