Financial stocks and political bonds: stock market participation and political behavior in the United States and Britain

This dissertation investigates the effect of stock market participation on political behavior. Some observers claim that financial assets—stocks and mutual funds—have a causal effect on political behavior. The “investor class theory” asserts that as people invest in the stock market their partisan attachments shift rightward. The “asset effect theory” claims that financial investments increase political interest and participation. I examine these claims with longitudinal data from the United States and Great Britain covering a twenty-year period from the early 1980s through the mid-2000’s. I also examine the effect of financial asset ownership on political attitudes in the United States during the 2008 stock market crash. I find no evidence to support the argument that stock market participation has any causal effect on partisanship, participation, or political attitudes.

The export performance of the 2004 EU enlargement economies since the 1990s : a constant market share analysis

This study focuses the export performance of the 2004 EU enlargement economies between 1990 and 2013. The long time span analysed allows to capture different stages in the relationship of these new members with the EU before and after accession. The study is based on the Constant Market Share methodology of decomposing an ex-post country’s export performance into different effects. Two different Constant Market Share Analysis (CMSA) were selected in order to disentangle, for the exports of the new members to the EU15, (i) the growth rate of exports and (ii) the growth rate of exports relatively to the world. Both approaches are applied to manufactured products first without disaggregating results by sectors and then grouping all products into two different classification of sectors: one considering the technological intensity of manufactured exports and another evaluating the specialization factors of the products exported. Results provide information not only on the ten economies’ export performance as a group but also individually considered and on the importance of each EU15 destination market to the export performance of these countries.

Verificação da existência de assimetria de informação no processo de emissão de ações no mercado brasileiro

O presente estudo busca realizar uma revisão bibliográfica sobre Assimetria de Informação, de forma a permitir sua análise no mercado brasileiro de capitais. A análise será conduzida com base no modelo de equilíbrio da decisão de emissão-investimento desenvolvido por Myers e Majluf. Este trabalho procurará discutir novas formas de medir Assimetria de Informação através da utilização de modelos estatísticos que permitam, posteriormente, utilizar modelos tais como ARCH e GARCH que consideram a heterocedasticidade da série de dados, desta forma, ampliando o conceito de medida correta sugerido por Nathalie Dierkens.

Il conflitto fra trasparenza sui mercati finanziari ed esigenza di riservatezza della società

The thesis main topic is the conflict between disclosure in financial markets and the need for confidentiality of the firm. After a recognition of the major dynamics of information production and dissemination in the stock market, the analysis moves to the interactions between the information that a firm is tipically interested in keeping confidential, such as trade secrets or the data usually covered by patent protection, and the countervailing demand for disclosure arising from finacial markets. The analysis demonstrates that despite the seeming divergence between informational contents tipically disclosed to investors and information usually covered by intellectual property protection, the overlapping areas are nonetheless wide and the conflict between transparency in financial markets and the firm’s need for confidentiality arises frequently and sistematically. Indeed, the company’s disclosure policy is based on a continuous trade-off between the costs and the benefits related to the public dissemination of information. Such costs are mainly represented by the competitive harm caused by competitors’ access to sensitive data, while the benefits mainly refer to the lower cost of capital that the firm obtains as a consequence of more disclosure. Secrecy shields the value of costly produced information against third parties’ free riding and constitutes therefore a means to protect the firm’s incentives toward the production of new information and especially toward technological and business innovation. Excessively demanding standards of transparency in financial markets might hinder such set of incentives and thus jeopardize the dynamics of innovation production. Within Italian securities regulation, there are two sets of rules mostly relevant with respect to such an issue: the first one is the rule that mandates issuers to promptly disclose all price-sensitive information to the market on an ongoing basis; the second one is the duty to disclose in the prospectus all the information “necessary to enable investors to make an informed assessment” of the issuers’ financial and economic perspectives. Both rules impose high disclosure standards and have potentially unlimited scope. Yet, they have safe harbours aimed at protecting the issuer need for confidentiality. Despite the structural incompatibility between public dissemination of information and the firm’s need to keep certain data confidential, there are certain ways to convey information to the market while preserving at the same time the firm’s need for confidentality. Such means are insider trading and selective disclosure: both are based on mechanics whereby the process of price reaction to the new information takes place without any corresponding activity of public release of data. Therefore, they offer a solution to the conflict between disclosure and the need for confidentiality that enhances market efficiency and preserves at the same time the private set of incentives toward innovation.

Stock return comovements and integration within the Latin American integrated market

Financial integration has been pursued aggressively across the globe in the last fifty years; however, there is no conclusive evidence on the diversification gains (or losses) of such efforts. These gains (or losses) are related to the degree of comovements and synchronization among increasingly integrated global markets. We quantify the degree of comovements within the integrated Latin American market (MILA). We use dynamic correlation models to quantify comovements across securities as well as a direct integration measure. Our results show an increase in comovements when we look at the country indexes, however, the increase in the trend of correlation is previous to the institutional efforts to establish an integrated market in the region. On the other hand, when we look at sector indexes and an integration measure, we find a decreased in comovements among a representative sample of securities form the integrated market.

Analysis of Earnings, Stock Prices and Bond Yields: The Fed Model Approach

Prediction of the stock market valuation is a common interest to all market participants. Theoretically sound market valuation can be achieved by discounting future earnings of equities to present. Competing valuation models seek to find variables that affect the equity market valuation in a way that the market valuation can be explained and also variables that could be used to predict market valuation. In this paper we test the contemporaneous relationship between stock prices, forward looking earnings and long-term government bond yields. We test this so-called Fed model in a long- and short-term time series analysis. In order to test the dynamics of the relationship, we use the cointegration framework. The data used in this study spans over four decades of various market conditions between 1964-2007, using data from United States. The empirical results of our analysis do not give support for the Fed model. We are able to show that the long-term government bonds do not play statistically significant role in this relationship. The effect of forward earnings yield on the stock market prices is significant and thus we suggest the use of standard valuation ratios when trying to predict the future paths of equity prices. Also, changes in the long-term government bond yields do not have significant short-term impact on stock prices.

Country Risk and Market Reactions to Earnings Announcements: Evidence from Finnish Stock Markets

The objective of this thesis is to examine the market reaction around earnings announcements in Finnish stock markets. The aim is to find out whether the extreme market conditions during the financial crisis are reflected in stock prices as a stronger reaction. In addition to this, the purpose is to investigate how extensively Finnish listed companies report the country segmentation of revenues in their interim reports and whether the country risk is having a significant impact on perceived market reaction. The sample covers all companies listed in Helsinki stock exchange at 1.1.2010 and these companies’ interim reports from the first quarter of 2008 to last quarter of 2009. Final sample consists of 81 companies and 630 firm-quarter observations. The data sample has been divided in two parts, of which country risk sample contains 17 companies and 127 observations and comparison sample covers 66 companies and 503 observations. Research methodologies applied in this thesis are event study and cross-sectional regression analysis. Empirical results indicate that the market reaction occurs mainly during the announcement day and is slightly stronger in case of positive earnings surprises than the reactions observed in previous studies. In case of negative earnings surprises no significant differences can be observed. In case of country risk sample and negative earnings surprise market reaction is negative already in advance of the disclosure contrary to comparison sample. In case of positive surprise no differences can be observed. Country risk variable developed during this study seems to explain only minor part of the market reaction.

Forecasting financial weather - can we foresee market sentiment? Spectrum of stock price behavior - NYSE case study

The desire to create a statistical or mathematical model, which would allow predicting the future changes in stock prices, was born many years ago. Economists and mathematicians are trying to solve this task by applying statistical analysis and physical laws, but there are still no satisfactory results. The main reason for this is that a stock exchange is a non-stationary, unstable and complex system, which is influenced by many factors. In this thesis the New York Stock Exchange was considered as the system to be explored. A topological analysis, basic statistical tools and singular value decomposition were conducted for understanding the behavior of the market. Two methods for normalization of initial daily closure prices by Dow Jones and S&P500 were introduced and applied for further analysis. As a result, some unexpected features were identified, such as a shape of distribution of correlation matrix, a bulk of which is shifted to the right hand side with respect to zero. Also non-ergodicity of NYSE was confirmed graphically. It was shown, that singular vectors differ from each other by a constant factor. There are for certain results no clear conclusions from this work, but it creates a good basis for the further analysis of market topology.

An analysis of herd behavior in Latin American stock markets

This research investigates whether the major stock markets in Latin America (Brazil, Mexico, Chile, Colombia, Peru and Argentina) exhibited herd behavior over the period January 2, 2002 to June 30, 2014, using the variation in the returns overall and by sector in the most representative stock market index in each country, using the model proposed by Christie y Huang (1995) -- The results do not reveal any herd behavior in the total market, or in the sectors of the markets examined in the study

Estratégias de oferta em leilões simétricos no âmbito dos mercados liberalizados de electricidade

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

Análise técnica dos principais índices bolsistas europeus

Mestrado em Controlo e Gestão e dos Negócios

Power law analysis of financial index dynamics

Power law PL and fractional calculus are two faces of phenomena with long memory behavior. This paper applies PL description to analyze different periods of the business cycle. With such purpose the evolution of ten important stock market indices DAX, Dow Jones, NASDAQ, Nikkei, NYSE, S&P500, SSEC, HSI, TWII, and BSE over time is studied. An evolutionary algorithm is used for the fitting of the PL parameters. It is observed that the PL curve fitting constitutes a good tool for revealing the signal main characteristics leading to the emergence of the global financial dynamic evolution.

Analysis of financial indices by means of the windowed Fourier transform

The goal of this study is to analyze the dynamical properties of financial data series from nineteen worldwide stock market indices (SMI) during the period 1995–2009. SMI reveal a complex behavior that can be explored since it is available a considerable volume of data. In this paper is applied the window Fourier transform and methods of fractional calculus. The results reveal classification patterns typical of fractional order systems.

Especulação em mercado bolsista : análise técnica : o caso Nasdaq-100 perante a crise subprime

Mestrado em Controlo de Gestão e dos Negócios