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This thesis presents three essays on credit ratings of regulated utilities, dividend signaling, and asymmetric information and security issuances and repurchases. Chapter 2 investigates the practices of credit rating agencies by using the regulated utility industry as a natural testing ground. Following deregulation and the Enron scandal, the general opinion among industry professionals is that utilities are being punished by rating agencies. Contrary to this popular belief, we find that the utility credit ratings are significantly higher compared to those of other firms, and this significance is more pronounced in the post-deregulation period. Although rating agencies often cite regulatory reasons for placing utilities on negative credit watches, these firms ratings are rarely downgraded after being placed on negative watches. Chapter 3 provides a rational explanation for the disappearing dividend trend. Dividends serve as signaling device and, under models of dividend signaling under information asymmetry, cost of signaling increases with volatility of firms cash flows. Declining propensities to pay dividends imply that (1) information asymmetries have become lower and/or (2) cost of signaling has increased. We find evidence consistent with both. In particular, firms with higher information asymmetries and lower stock price informativeness are more likely to pay dividends: the increasing stock price informativeness has made dividend signaling less valuable, and a significant portion of disappearing dividend trend could be explained by rising risk and increasing stock price informativeness. Chapter 4 investigates the motivations for debt and equity issuances and repurchases in hot and cold markets. I find that firms issue equity in hot markets to reduce adverse selection costs associated with asymmetric information. In particular, firms issuing equity in hot markets possess high asymmetric information while firms issuing equity in cold markets possess less severe asymmetric information. I also find that credit ratings and market-to-book ratios could explain why firms might repurchase equity or issue debt in hot markets rather than issue equity: firms with high credit ratings and low market-to-book ratios are more likely to issue debt even in hot equity markets, and firms with low market-to-book ratios are more likely to repurchase equity in any market. / Finance

Esta tese apresenta três ensaios em macroeconomia aplicada e que possuem em comum o uso de técnicas estatísticas e econométricas em problemas macroeconômicos. Dentre os campos de pesquisa da macroeconomia aplicada, a tese faz uso de modelos macroeconômicos microfundamentados, em sua versão DSGE-VAR, e da macroeconomia financeira por meio da avaliação do comportamento da correlação entre os retornos das ações usando modelos Garch multivariados. Além disso, a tese provoca a discussão sobre um novo campo de pesquisa em macroeconomia que surge a partir do advento da tecnologia. No primeiro ensaio, aplicamos a abordagem DSGE-VAR na discussão sobre a reação do Banco Central do Brasil (BCB) as oscilações na taxa de câmbio, especificamente para o caso de uma economia sob metas de inflação. Para tanto, baseando-se no modelo para uma economia aberta desenvolvido por Gali e Monacelli (2005) e modificado por Lubik e Schorfheide (2007), estimamos uma regra de política monetária para o Brasil e examinamos em que medida o BCB responde a mudanças na taxa de câmbio. Além disso, estudamos o grau de má especificação do modelo DSGE proposto. Mais especificamente, comparamos a verossimilhança marginal do modelo DSGE às do modelo DSGE-VAR e examinamos se o Banco Central conseguiu isolar a economia brasileira, em particular a inflação, de choques externos. Nossas conclusões mostram que as respostas aos desvios da taxa de câmbio são diferentes de zero e menores do que as respostas aos desvios da inflação. Finalmente, o ajuste do modelo DSGE é consideravelmente pior do que o ajuste do modelo DSGE-VAR, independentemente do número de defasagens utilizadas no VAR o que indica que de um ponto de vista estatístico existem evidências de que as restrições cruzadas do modelo teórico são violadas nos dados. O segundo ensaio examina empiricamente o comportamento da correlação entre o retorno de ações listadas na BMF&BOVESPA no período de 2000 a 2015. Para tanto, utilizamos modelos GARCH multivariados introduzidos por Bollerslev (1990) para extrair a série temporal das matrizes de correlação condicional dos retornos das ações. Com a série temporal dos maiores autovalores das matrizes de correlação condicional estimadas, aplicamos testes estatísticos (raiz unitária, quebra estrutural e tendência) para verificar a existência de tendência estocástica ou determinística para a intensidade da correlação entre os retornos das ações representadas pelos autovalores. Nossas conclusões confirmam que tanto em períodos de crises nacionais como turbulências internacionais, há intensificação da correlação entre as ações. Contudo, não encontramos qualquer tendência de longo prazo na série temporal dos maiores autovalores das matrizes de correlação condicional. Isso sugere que apesar das conclusões de Costa, Mazzeu e Jr (2016) sobre a tendência de queda do risco idiossincrático no mercado acionário brasileiro, a correlação dos retornos não apresentou tendência de alta, conforme esperado pela teoria de finanças. No terceiro ensaio, apresentamos pesquisas que utilizaram Big Data, Machine Learning e Text Mining em problemas macroeconômicos e discutimos as principais técnicas e tecnologias adotadas bem como aplicamos elas na análise de sentimento do BCB sobre a economia. Por meio de técnicas de Web Scraping e Text Mining, acessamos e extraímos as palavras usadas na escrita das atas divulgadas pelo Comitê de Política Monetária (Copom) no site do BCB. Após isso, comparando tais palavras com um dicionário de sentimentos (Inquider) mantido pela Universidade de Harvard e originalmente apresentado por Stone, Dunphy e Smith (1966), foi possível criar um índice de sentimento para a autoridade monetária. Nossos resultados confirmam que tal abordagem pode contribuir para a avaliação econômica dado que a série temporal do índice proposto está relacionada com variáveis macroeconômicas importantes para as decisões do BCB. / This thesis presents three essays in applied macroeconomics and who have in common the use of statistical and econometric techniques in macroeconomic problems. Among the search fields of applied macroeconomics, the thesis makes use of microfounded macroeconomic models, in tis DSGE-VAR version, and financial macroeconomics through the evaluation of the behavior of correlation between stock returns using multivariate Garch models. In addition, leads a discussion on a new field of research in macroeconomics which arises from the advent of technology. In the first experiment, we applied the approach to dynamic stochastic general equilibrium (DSGE VAR in the discussion about the reaction of the Central Bank of Brazil (CBB) to fluctuations in the exchange rate, specifically for the case of an economy under inflation targeting. To this end, based on the model for an open economy developed by Gali and Monacelli (2005) and modified by Lubik and Schorfheide (2007), we estimate a rule of monetary policy for the United States and examine to what extent the CBC responds to changes in the exchange rate. In addition, we studied the degree of poor specification of the DSGE model proposed. More specifically, we compare the marginal likelihood of the DSGE model to the DSGE-VAR model and examine whether the Central Bank managed to isolate the brazilian economy, in particular the inflation, external shocks. Our findings show that the response to deviations of the exchange rate are different from zero and lower than the response to deviations of inflation. Finally, the adjustment of the DSGE model is considerably worse than the adjustment of the DSGE-VAR model, regardless of the number of lags used in the VAR which indicates that a statistical point of view there is evidence that the restrictions crusades of the theoretical model are violated in the data. The second essay examines empirically the behavior of the correlation between the return of shares listed on the BMF&BOVESPA over the period from 2000 to 2015. To this end, we use models multivariate GARCH introduced by Bollerslev (1990) to remove the temporal series of arrays of conditional correlation of returns of stocks. With the temporal series of the largest eigenvalues of matrices of correlation estimated conditional, we apply statistical tests (unit root, structural breaks and trend) to verify the existence of stochastic trend or deterministic to the intensity of the correlation between the returns of the shares represented by eigenvalues. Our findings confirm that both in times of crises at national and international turbulence, there is greater correlation between the actions. However, we did not find any long-term trend in time series of the largest eigenvalues of matrices of correlation conditional. In the third test, we present research that used Big Data, Machine Learning and Text Mining in macroeconomic problems and discuss the main techniques and technologies adopted and apply them in the analysis of feeling of BCB on the economy. Through techniques of Web Scraping and Text Mining, we accessed and extracted the words used in the writing of the minutes released by the Monetary Policy Committee (Copom) on the site of the BCB. After that, comparing these words with a dictionary of feelings (Inquider) maintained by Harvard University and originally presented by Stone, Dunphy and Smith (1966), it was possible to create an index of sentiment for the monetary authority. Our results confirm that such an approach can contribute to the economic assessment given that the temporal series of the index proposed is related with macroeconomic variables are important for decisions of the BCB.

Environmental, Social, and Governance (ESG) investing is growing rapidly. Previous research in the area, has mostly been centered around ESG/CSR and its link to corporate financial performance, cost of capital and idiosyncratic risk. Furthermore, relevant previous research is presented that in part challenges the traditional market models and suggests that total risk is a relevant risk factor, instead of only the systematic risk, as proposed by normative theory. In this study, we develop two separate panel regression models, with separate dependent variables. Realized volatility and a GARCH (1,1) estimate of volatility. This is done in order to gain insight into if there is, as propositioned, a negative relation between high ESG/CSR performance and volatility of the shares, i.e. the total risk of the shares. The study uses ESG and financial data from Thomson Reuters Eikon database. The sample size is 481 firms from the S&P 500 Index, for the years 2009-2016. The results of this study indicate that there is a statistically significant negative relationship between high ESG/CSR performance and share price volatility. This result adds to the discussion that challenges existing theory.

Esta tese apresenta três ensaios em macroeconomia aplicada e que possuem em comum o uso de técnicas estatísticas e econométricas em problemas macroeconômicos. Dentre os campos de pesquisa da macroeconomia aplicada, a tese faz uso de modelos macroeconômicos microfundamentados, em sua versão DSGE-VAR, e da macroeconomia financeira por meio da avaliação do comportamento da correlação entre os retornos das ações usando modelos Garch multivariados. Além disso, a tese provoca a discussão sobre um novo campo de pesquisa em macroeconomia que surge a partir do advento da tecnologia. No primeiro ensaio, aplicamos a abordagem DSGE-VAR na discussão sobre a reação do Banco Central do Brasil (BCB) as oscilações na taxa de câmbio, especificamente para o caso de uma economia sob metas de inflação. Para tanto, baseando-se no modelo para uma economia aberta desenvolvido por Gali e Monacelli (2005) e modificado por Lubik e Schorfheide (2007), estimamos uma regra de política monetária para o Brasil e examinamos em que medida o BCB responde a mudanças na taxa de câmbio. Além disso, estudamos o grau de má especificação do modelo DSGE proposto. Mais especificamente, comparamos a verossimilhança marginal do modelo DSGE às do modelo DSGE-VAR e examinamos se o Banco Central conseguiu isolar a economia brasileira, em particular a inflação, de choques externos. Nossas conclusões mostram que as respostas aos desvios da taxa de câmbio são diferentes de zero e menores do que as respostas aos desvios da inflação. Finalmente, o ajuste do modelo DSGE é consideravelmente pior do que o ajuste do modelo DSGE-VAR, independentemente do número de defasagens utilizadas no VAR o que indica que de um ponto de vista estatístico existem evidências de que as restrições cruzadas do modelo teórico são violadas nos dados. O segundo ensaio examina empiricamente o comportamento da correlação entre o retorno de ações listadas na BMF&BOVESPA no período de 2000 a 2015. Para tanto, utilizamos modelos GARCH multivariados introduzidos por Bollerslev (1990) para extrair a série temporal das matrizes de correlação condicional dos retornos das ações. Com a série temporal dos maiores autovalores das matrizes de correlação condicional estimadas, aplicamos testes estatísticos (raiz unitária, quebra estrutural e tendência) para verificar a existência de tendência estocástica ou determinística para a intensidade da correlação entre os retornos das ações representadas pelos autovalores. Nossas conclusões confirmam que tanto em períodos de crises nacionais como turbulências internacionais, há intensificação da correlação entre as ações. Contudo, não encontramos qualquer tendência de longo prazo na série temporal dos maiores autovalores das matrizes de correlação condicional. Isso sugere que apesar das conclusões de Costa, Mazzeu e Jr (2016) sobre a tendência de queda do risco idiossincrático no mercado acionário brasileiro, a correlação dos retornos não apresentou tendência de alta, conforme esperado pela teoria de finanças. No terceiro ensaio, apresentamos pesquisas que utilizaram Big Data, Machine Learning e Text Mining em problemas macroeconômicos e discutimos as principais técnicas e tecnologias adotadas bem como aplicamos elas na análise de sentimento do BCB sobre a economia. Por meio de técnicas de Web Scraping e Text Mining, acessamos e extraímos as palavras usadas na escrita das atas divulgadas pelo Comitê de Política Monetária (Copom) no site do BCB. Após isso, comparando tais palavras com um dicionário de sentimentos (Inquider) mantido pela Universidade de Harvard e originalmente apresentado por Stone, Dunphy e Smith (1966), foi possível criar um índice de sentimento para a autoridade monetária. Nossos resultados confirmam que tal abordagem pode contribuir para a avaliação econômica dado que a série temporal do índice proposto está relacionada com variáveis macroeconômicas importantes para as decisões do BCB. / This thesis presents three essays in applied macroeconomics and who have in common the use of statistical and econometric techniques in macroeconomic problems. Among the search fields of applied macroeconomics, the thesis makes use of microfounded macroeconomic models, in tis DSGE-VAR version, and financial macroeconomics through the evaluation of the behavior of correlation between stock returns using multivariate Garch models. In addition, leads a discussion on a new field of research in macroeconomics which arises from the advent of technology. In the first experiment, we applied the approach to dynamic stochastic general equilibrium (DSGE VAR in the discussion about the reaction of the Central Bank of Brazil (CBB) to fluctuations in the exchange rate, specifically for the case of an economy under inflation targeting. To this end, based on the model for an open economy developed by Gali and Monacelli (2005) and modified by Lubik and Schorfheide (2007), we estimate a rule of monetary policy for the United States and examine to what extent the CBC responds to changes in the exchange rate. In addition, we studied the degree of poor specification of the DSGE model proposed. More specifically, we compare the marginal likelihood of the DSGE model to the DSGE-VAR model and examine whether the Central Bank managed to isolate the brazilian economy, in particular the inflation, external shocks. Our findings show that the response to deviations of the exchange rate are different from zero and lower than the response to deviations of inflation. Finally, the adjustment of the DSGE model is considerably worse than the adjustment of the DSGE-VAR model, regardless of the number of lags used in the VAR which indicates that a statistical point of view there is evidence that the restrictions crusades of the theoretical model are violated in the data. The second essay examines empirically the behavior of the correlation between the return of shares listed on the BMF&BOVESPA over the period from 2000 to 2015. To this end, we use models multivariate GARCH introduced by Bollerslev (1990) to remove the temporal series of arrays of conditional correlation of returns of stocks. With the temporal series of the largest eigenvalues of matrices of correlation estimated conditional, we apply statistical tests (unit root, structural breaks and trend) to verify the existence of stochastic trend or deterministic to the intensity of the correlation between the returns of the shares represented by eigenvalues. Our findings confirm that both in times of crises at national and international turbulence, there is greater correlation between the actions. However, we did not find any long-term trend in time series of the largest eigenvalues of matrices of correlation conditional. In the third test, we present research that used Big Data, Machine Learning and Text Mining in macroeconomic problems and discuss the main techniques and technologies adopted and apply them in the analysis of feeling of BCB on the economy. Through techniques of Web Scraping and Text Mining, we accessed and extracted the words used in the writing of the minutes released by the Monetary Policy Committee (Copom) on the site of the BCB. After that, comparing these words with a dictionary of feelings (Inquider) maintained by Harvard University and originally presented by Stone, Dunphy and Smith (1966), it was possible to create an index of sentiment for the monetary authority. Our results confirm that such an approach can contribute to the economic assessment given that the temporal series of the index proposed is related with macroeconomic variables are important for decisions of the BCB.

Esta pesquisa investigou os efeitos da estrutura de propriedade e da clareza na comunicação entre empresa e mercado sobre o risco idiossincrático das ações negociadas no mercado brasileiro de capitais de 2002 a 2012. O risco idiossincrático(1-R2) foi medida a partir do coeficiente de determinação da regressão dos retornos da ação em relação aos fatores sistemáticos (R2) e reflete o percentual dos retornos da ação não explicados pelos fatores sistemáticos. Neste estudo, empresas com alta concentração acionária são aquelas em que o maior acionista detém mais de 50% do total das ações ou em que os três maiores acionistas detêm, em conjunto, mais de 70% do total das ações. A concentração acionária afeta positivamente a volatilidade idiossincrática, enquanto o porte da empresa e a liquidez do papel na bolsa têm efeito oposto. Foi observada relação positiva entre a concentração acionária e o risco idiossincrático que, por sua vez, é menor nas empresas do setor financeiro, com alta concentração acionária. Contudo, parte do risco idiossincrático observado nas ações das empresas com alta concentração acionária decorre da menor liquidez do papel como consequência da pequena parcela das ações disponível aos investidores, e supostamente não está relacionada à incorporação das informações específicas aos preços. Nas empresas com alta concentração acionária, a volatilidade idiossincrática está positivamente relacionada à rentabilidade reportada e negativamente associada ao endividamento. As oportunidades de crescimento estão positivamente relacionadas com o risco idiossincrático nos casos em que a concentração acionária não é alta. Esse fato é compatível com a suposição de que as divergências sobre o impacto futuro do aproveitamento econômico das oportunidades com as quais a empresa se depara, gerariam variações nos preços decorrentes de informações específicas, corroborando com a suposição de que o risco idiossincrático reflete, ao menos em parte, as informações específicas incorporadas aos preços. Por outro lado, não foram encontradas evidências de que a clareza na comunicação entre a empresa e o mercado tenha efeito significativo na variabilidade dos retornos idiossincráticos. Se as informações específicas são incorporadas aos preços, a incorporação, ao que parece, não se dá pelos mecanismos atuais de fluxo de informação entre empresa e investidores. / This research investigates the effects of the ownership structure and the clarity of firm activities and performance to outsiders with regard to the idiosyncratic volatility of shares traded on the Brazilian stock exchange from 2002 to 2012. The idiosyncratic volatility (1-R²) is based on the coefficient of determination of regression of stock returns in relation to systematic factors (R²), and reflects the percentage of stock returns not explained by these systematic factors. In this study, companies with high stock concentration are those whose largest shareholder holds more than 50% of the total outstanding shares or whose three largest shareholders together hold more than 70% of the total outstanding shares. Ownership concentration positively affects the idiosyncratic volatility, while the firm\'s size and stock liquidity on the stock exchange have an opposite effect. A positive relationship between the ownership concentration and the idiosyncratic volatility is noted, which in turn is lower in financial institutions with high ownership concentration. However, part of the idiosyncratic volatility noted in stocks of firms with high ownership concentration results from lower liquidity of its papers as a consequence of the small number of shares available to investors and supposedly not related to firm-specific information incorporated into stock prices. In firms with high ownership concentration, idiosyncratic volatility is positively related to reported profitability and negatively associated with leverage. Growth opportunities are positively related to idiosyncratic volatility in cases where ownership concentration is not high. This fact is consistent with the assumption that variances of the future impact of the economic use of opportunities faced by a firm would generate variations in in its stock price as a result of specific information, supporting the assumption that the idiosyncratic volatility reflects, at least in part, firm-specific information incorporated into stock prices. On the other hand, no evidence is found that the clarity of firm activities and performance to outsiders has a significant effect on the variability of idiosyncratic returns. If firm-specific information is incorporated into its stock price, the incorporation, it seems, does not occur by current mechanisms of information flow between the firm and investors.

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Yes / A key prediction of the Capital Asset Pricing Model (CAPM) is that idiosyncratic risk is not priced by investors because in the absence of frictions it can be fully diversified away. In the presence of constraints on diversification, refinements of the CAPM conclude that the part of idiosyncratic risk that is not diversified should be priced. Recent empirical studies yielded mixed evidence with some studies finding positive correlation between idiosyncratic risk and stock returns, while other studies reported none or even negative correlation. We revisit the problem whether idiosyncratic risk is priced by the stock market and what are the probable causes for the mixed evidence produced by other studies, using monthly data for the US market covering the period from 1980 until 2013. We find that one-period volatility forecasts are not significantly correlated with stock returns. The mean-reverting unconditional volatility, however, is a robust predictor of returns. Consistent with economic theory, the size of the premium depends on the degree of 'knowledge' of the security among market participants. In particular, the premium for Nasdaq-traded stocks is higher than that for NYSE and Amex stocks. We also find stronger correlation between idiosyncratic risk and returns during recessions, which may suggest interaction of risk premium with decreased risk tolerance or other investment considerations like flight to safety or liquidity requirements. The difference between the correlations of the idiosyncratic volatility estimators used by other studies and the true risk metric the mean-reverting volatility is the likely cause for the mixed evidence produced by other studies. Our results are robust with respect to liquidity, momentum, return reversals, unadjusted price, liquidity, credit quality, omitted factors, and hold at daily frequency. / National Research Foundation of Korea (2016S1A2A2912265)

Most papers in empirical finance implicitly or explicitly assume the same price of risk, for each priced systematic risk factor, across all risky assets within a given domestic market. In doing so, they rely on the assumption that markets are domestically integrated and, as such, that the price of risk is determined independently of individual investors attitude towards risk. This is true in frictionless markets where investors have complete information, homogenous beliefs, and hold the mean-variance efficient combination of the market portfolio and a risk-free asset. However, investors might not hold the market portfolio because of exogenous reasons. In fact, several recent papers have provided evidence that US investors do not, holding instead vastly undiversified portfolios. There are two main implications to the above. First, if one group of investors does not hold the market portfolio, then the remaining set of investors will also not be able to hold the market portfolio and will rationally expect to be compensated for bearing idiosyncratic risk. Therefore, idiosyncratic risk will be priced in expected returns. Second, the price of risk need not be the same across all assets in which case domestic markets are not integrated. In the first essay titled "Is Idiosyncratic Volatility Really priced?" I show that the positive relation between idiosyncratic volatility (IV) and returns found by Fu (2009) only exists for firms that are difficult to arbitrage. The relation between IV and returns is strong for small and illiquid stocks, but decreases with size and liquidity and becomes non-existent for the largest and most liquid firms. Furthermore, zero-cost portfolios based on IV and size do not yield positive returns when conservative trading costs are considered. This evidence is consistent with an efficient market, in which arbitragers exploit profitable investment opportunities and by doing so they prevent systematic mispricing in financial markets. In the second essay titled "Are the U.S. Equity Markets Domestically Integrated?" I investigate whether the three main U.S. equity markets are domestically integrated by comparing the price of commonly used risk factors across the NYSE, Amex, and Nasdaq. I find that the markets have significantly different prices of risks for several risk factors, indicating that the markets are segmented. The magnitude of the difference is both statistically and economically significant, and is not due to arbitrage constraints or model misspecification. Instead, I find evidence consistent with the investor-segmentation hypothesis, in which different investors choose to hold different subsets of firms and demand different prices of risk among the different groups of securities. I do not find that segmentation is restricted to a specific time period. On the contrary, it is present in all sub-periods. In contrast to the results regarding the pricing of idiosyncratic volatility, these results highlight the value of diversification and suggest that domestic equity markets are not fully efficient.

In this dissertation, I explore the impact of idiosyncratic risk on asset returns. The first essay examines how idiosyncratic risk affects the cross-section of stock returns. I use an exponential GARCH model to forecast expected idiosyncratic volatility and employ a combination of the size effect, value premium, return momentum and short-term reversal to measure relative mispricing. I find that stock returns monotonically increase in idiosyncratic risk for relatively undervalued stocks and monotonically decrease in idiosyncratic risk for relatively overvalued stocks. This phenomenon is robust to various subsamples and industries, and cannot be explained by risk factors or firm characteristics. Further, transaction costs, short-sale constraints and information uncertainty cannot account for the role of idiosyncratic risk. Overall, these findings are consistent with the limits of arbitrage arguments and demonstrate the importance of idiosyncratic risk as an arbitrage cost. The second essay studies the cross-sectional determinants of delta-hedged stock option returns with an emphasis on the pricing of volatility risk. We find that the average delta-hedged option returns are significantly negative for most stocks, and they decrease monotonically with both total and idiosyncratic volatility of the underlying stock. Our results are robust and cannot be explained by the Fama-French factors, market volatility risk, jump risk, or the effect of past stock return and volatility-related option mispricing. Our results strongly support a negative market price of volatility risk specification that is proportional to the volatility level. Reflecting this volatility risk premium, writing covered calls on high volatility stocks on average earns about 2% more per month than selling covered calls on low volatility stocks. This spread is higher when it is more difficult to arbitrage between stock and option. / text