Studies on Binary Time Series Models with Applications to Empirical Macroeconomics and Finance

This thesis studies binary time series models and their applications in empirical macroeconomics and finance. In addition to previously suggested models, new dynamic extensions are proposed to the static probit model commonly used in the previous literature. In particular, we are interested in probit models with an autoregressive model structure. In Chapter 2, the main objective is to compare the predictive performance of the static and dynamic probit models in forecasting the U.S. and German business cycle recession periods. Financial variables, such as interest rates and stock market returns, are used as predictive variables. The empirical results suggest that the recession periods are predictable and dynamic probit models, especially models with the autoregressive structure, outperform the static model. Chapter 3 proposes a Lagrange Multiplier (LM) test for the usefulness of the autoregressive structure of the probit model. The finite sample properties of the LM test are considered with simulation experiments. Results indicate that the two alternative LM test statistics have reasonable size and power in large samples. In small samples, a parametric bootstrap method is suggested to obtain approximately correct size. In Chapter 4, the predictive power of dynamic probit models in predicting the direction of stock market returns are examined. The novel idea is to use recession forecast (see Chapter 2) as a predictor of the stock return sign. The evidence suggests that the signs of the U.S. excess stock returns over the risk-free return are predictable both in and out of sample. The new "error correction" probit model yields the best forecasts and it also outperforms other predictive models, such as ARMAX models, in terms of statistical and economic goodness-of-fit measures. Chapter 5 generalizes the analysis of univariate models considered in Chapters 2 4 to the case of a bivariate model. A new bivariate autoregressive probit model is applied to predict the current state of the U.S. business cycle and growth rate cycle periods. Evidence of predictability of both cycle indicators is obtained and the bivariate model is found to outperform the univariate models in terms of predictive power.

Essays on the Role of Time in Price Discovery (summary section only)

The purpose of this thesis is to examine the role of trade durations in price discovery. The motivation to use trade durations in the study of price discovery is that durations are robust to many microstructure effects that introduce a bias in the measurement of returns volatility. Another motivation to use trade durations in the study of price discovery is that it is difficult to think of economic variables, which really are useful in the determination of the source of volatility at arbitrarily high frequencies. The dissertation contains three essays. In the first essay, the role of trade durations in price discovery is examined with respect to the volatility pattern of stock returns. The theory on volatility is associated with the theory on the information content of trade, dear to the market microstructure theory. The first essay documents that the volatility per transaction is related to the intensity of trade, and a strong relationship between the stochastic process of trade durations and trading variables. In the second essay, the role of trade durations in price discovery is examined with respect to the quantification of risk due to a trading volume of a certain size. The theory on volume is intrinsically associated with the stock volatility pattern. The essay documents that volatility increases, in general, when traders choose to trade with large transactions. In the third essay, the role of trade durations in price discovery is examined with respect to the information content of a trade. The theory on the information content of a trade is associated with the theory on the rate of price revisions in the market. The essay documents that short durations are associated with information. Thus, traders are compensated for responding quickly to information

Essays on Risk and Return

Perhaps the most fundamental prediction of financial theory is that the expected returns on financial assets are determined by the amount of risk contained in their payoffs. Assets with a riskier payoff pattern should provide higher expected returns than assets that are otherwise similar but provide payoffs that contain less risk. Financial theory also predicts that not all types of risks should be compensated with higher expected returns. It is well-known that the asset-specific risk can be diversified away, whereas the systematic component of risk that affects all assets remains even in large portfolios. Thus, the asset-specific risk that the investor can easily get rid of by diversification should not lead to higher expected returns, and only the shared movement of individual asset returns – the sensitivity of these assets to a set of systematic risk factors – should matter for asset pricing. It is within this framework that this thesis is situated. The first essay proposes a new systematic risk factor, hypothesized to be correlated with changes in investor risk aversion, which manages to explain a large fraction of the return variation in the cross-section of stock returns. The second and third essays investigate the pricing of asset-specific risk, uncorrelated with commonly used risk factors, in the cross-section of stock returns. The three essays mentioned above use stock market data from the U.S. The fourth essay presents a new total return stock market index for the Finnish stock market beginning from the opening of the Helsinki Stock Exchange in 1912 and ending in 1969 when other total return indices become available. Because a total return stock market index for the period prior to 1970 has not been available before, academics and stock market participants have not known the historical return that stock market investors in Finland could have achieved on their investments. The new stock market index presented in essay 4 makes it possible, for the first time, to calculate the historical average return on the Finnish stock market and to conduct further studies that require long time-series of data.

Conditional Moments in Asset Pricing

A better understanding of stock price changes is important in guiding many economic activities. Since prices often do not change without good reasons, searching for related explanatory variables has involved many enthusiasts. This book seeks answers from prices per se by relating price changes to their conditional moments. This is based on the belief that prices are the products of a complex psychological and economic process and their conditional moments derive ultimately from these psychological and economic shocks. Utilizing information about conditional moments hence makes it an attractive alternative to using other selective financial variables in explaining price changes. The first paper examines the relation between the conditional mean and the conditional variance using information about moments in three types of conditional distributions; it finds that the significance of the estimated mean and variance ratio can be affected by the assumed distributions and the time variations in skewness. The second paper decomposes the conditional industry volatility into a concurrent market component and an industry specific component; it finds that market volatility is on average responsible for a rather small share of total industry volatility — 6 to 9 percent in UK and 2 to 3 percent in Germany. The third paper looks at the heteroskedasticity in stock returns through an ARCH process supplemented with a set of conditioning information variables; it finds that the heteroskedasticity in stock returns allows for several forms of heteroskedasticity that include deterministic changes in variances due to seasonal factors, random adjustments in variances due to market and macro factors, and ARCH processes with past information. The fourth paper examines the role of higher moments — especially skewness and kurtosis — in determining the expected returns; it finds that total skewness and total kurtosis are more relevant non-beta risk measures and that they are costly to be diversified due either to the possible eliminations of their desirable parts or to the unsustainability of diversification strategies based on them.

Corporate Governance Mechanisms and Firm Performance:Evidence from Finland

This paper examines the association between corporate governance attributes and firm performance of Finnish firms during 1990 – 2000. The empirical results suggest that corporate governance matters for firm performance. First, univariate test results indicate that firms characterized by a high (efficient) level of corporate governance have delivered greater stock returns, are higher valued based on the measure of Tobin’s Q, and exhibit higher ratios of cash flow to assets, on average, in comparison to their counterparts characterized by a low (inefficient) level of corporate governance. Second, controlling for a number of well-known determinants of stock returns, we find evidence that firms categorized by inefficient corporate governance have delivered inferior returns to shareholders during the investigation period. Finally, after controlling for several common determinants of firm value, we find that firms characterized by efficient corporate governance have been valued higher during the investigation period, measured by Tobin’s Q.

The Weekend-Dividend Effect in the Spanish Market

Revised: 2006-05

Long memory in return structures from developed markets

[En]The present study aimed at investigating the existence of long memory properties in ten developed stock markets across the globe. When return series exhibit long memory, the series realizations are not independent over time and past returns can help predict future returns, thus violating the market efficiency hypothesis. It poses a serious challenge to the supporters of random walk behavior of the stock returns indicating a potentially predictable component in the series dynamics. We computed Hurst-Mandelbrot’s Classical R/S statistic, Lo’s statistic and semi parametric GPH statistic using spectral regression. The findings suggest existence of long memory in volatility and random walk for logarithmic return series in general for all the selected stock market indices. Findings are in line with the stylized facts of financial time series.

Exposição cambial: o impacto do câmbio nas ações das empresas brasileiras internacionalizadas

O aumento da internacionalização das economias emergentes e a tendência de financeirização da economia mundial motivaram este estudo que tem como principal objetivo analisar estatisticamente o impacto das variações cambiais no retorno das ações das principais empresas brasileiras internacionalizadas, segundo o ranking realizado pela Fundação Dom Cabral, no período entre 2000 e 2012. Além disso, buscou-se, também, descrever o processo inicial de internacionalização dessas mesmas companhias. Para isso, foi realizada uma pesquisa descritiva e quantitativa, por meio da utilização do método estatístico de regressão linear múltipla. Constatou-se que nas 28 empresas analisadas não há correlação entre variações nas taxas de câmbio e variações no retorno das ações das empresas brasileiras internacionalizadas, evidenciando assim, que outras variáveis são as responsáveis por impactarem o retorno dessas ações. Verificou-se, ainda, que a maior parte das empresas brasileiras iniciam seu processo de internacionalização por meio da instalação de linhas de produção no exterior, seguida de exportação e fusões e aquisições com outras companhias.

Long-term return reversals-Value and growth or tax? UK evidence

This paper examines (i) whether value-growth characteristics have more power than past performance in predicting return reversals; and (ii) whether typical rational behaviour such as incentives to delay paying capital gain taxes can better explain long-term reversals than past performance. We find that value-growth characteristics generally provide better explanations for long-term stock returns than past performance. The evidence also shows that winners identified by capital gains dominate past performance winners in predicting reversals in the cross-sectional comparison. However, in the time-series analysis, when returns on capital gain winners are adjusted by the Fama and French (1996) risk factors, the predictive power of capital gain winners disappears. Our results show that capital gain winners are heavily featured as growth stocks. Return reversals in capital gain winners potentially reflect market price corrections for growth stocks. We conclude that investors’ incentives to delay paying capital gain taxes cannot fully rationalise long-term reversals in the UK market. Our results also imply that the long-term return pattern potentially reflects a mixture of investor rational and irrational behaviour.

The character and denomination of shares in the Victorian equity market

The seminal work of J. B. Jefferys highlighted two unusual features of the Victorian equity market, namely high share denomination and uncalled capital. This article examines the extent to which publicly traded company stocks in the nineteenth century had these features. It also analyses the effect of these features on stock returns using monthly data for the London Stock Market over the period 1825–70. We find that stocks with unpaid capital earned a higher return, which is consistent with investors being rewarded for the risk of a call on their personal assets. We also find that stocks with a high share denomination earned a lower return, which is consistent with the view that this feature was conducive to superior corporate governance.

Evaluating monthly volatility forecasts using proxies at different frequencies

This paper analyses the forecastability of stock returns monthly volatility. The forecast obtained from GARCH and AGARCH models with Normal and Student's t errors are evaluated with respect to proxies for the unobserved volatility obtained through sampling at different frequencies. It is found that aggregation of daily multi-step ahead GARCH-type forecasts provide rather accurate predictions of monthly volatility.

Do financial distress and liquidity crises affect value and size premiums?

This study investigates the impact of liquidity crises on the relationship between stock (value and size) premiums and default risk in the US market. It first examines whether financial distress can explain value and size premiums, and then, subsequently, aims to determine whether liquidity crises increase the risk of value and size premium investment strategies. The study employs a time-varying approach and a sample of US stock returns for the period between January 1982 and March 2011, a period which includes the current liquidity crisis, so as to examine the relationship between default risk, liquidity crises and value and size premiums. The findings indicate that the default premium has explanatory power for value and size and premiums, which affect firms with different characteristics. We also find that liquidity crises may actually increase the risks related to size and value premium strategies.

Mercados bolsistas

O intenso intercâmbio entre os países, resultante do processo de globalização, veio acrescer importância ao mercado de capitais. Os países em desenvolvimento procuram abrir as suas economias para receber investimentos externos. Quanto maior for o grau de desenvolvimento de uma economia mais ativo será o seu mercado de capitais. No entanto, tem-se verificado uma tendência de substituição de enfoque económico, que antes era mais dirigido ao planeamento empresarial para metas mais ligadas ao meio ambiente. O mercado de capitais é um sistema de distribuição de valores mobiliários cujo objectivo é proporcionar liquidez a títulos emitidos pelas empresas, com a finalidade de viabilizar o processo de capitalização desses papéis. O mercado de capitais é composto pelas bolsas de valores, sociedades corretoras e outras instituições financeiras que têm autorização da Comissão de Valores dos Mercados Mobiliários (CMVM). O mercado bolsista insere-se no mercado de capitais. Nesses mercados, é importante conseguir conjuntamente a maximização dos recursos (retornos) e minimização dos custos (riscos). O principal objectivo das bolsas de valores é promover um ambiente de negociação dos títulos e dos valores mobiliários das empresas. Muitos investidores têm a sua própria maneira de investir, consoante o perfil que cada um tem. Além do perfil dos investidores, é também pertinente analisar a questão do risco. Vaughan (1997) observa que, nos dias atuais, a questão da administração do risco está presente na vida de todos. Este trabalho tem o propósito de demonstrar a necessidade da utilização de ferramentas para a seleção de ativos e para a mensuração do risco e do retorno de aplicações de recursos financeiros nesses activos de mercados de capitais, por qualquer tipo de investidor, mais especificamente na compra de ações e montagem de uma carteira de investimento. Para isso usou-se o método de Elton e Gruber, analisou-se as rentabilidades, os riscos e os índices de desempenho de Treynor e Sharpe. Testes estatísticos para os retornos das ações foram executados visando analisar a aleatoriedade dos dados. Este trabalho conclui que pode haver vantagens na utilização do método de Elton e Gruber para os investidores propensos a utilzar ações de empresas socialmente responsáveis.

Testing for volatility persistence change: The effect of the credit crisis on the Portuguese banks

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Brazilian equity risk premium analysis: A macroeconomic approach

Double Degree Masters in Economics Program from Insper and NOVA School of Business and Economics