219 resultados para Russian equity market
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The aim of this work project is to find a model that is able to accurately forecast the daily Value-at-Risk for PSI-20 Index, independently of the market conditions, in order to expand empirical literature for the Portuguese stock market. Hence, two subsamples, representing more and less volatile periods, were modeled through unconditional and conditional volatility models (because it is what drives returns). All models were evaluated through Kupiec’s and Christoffersen’s tests, by comparing forecasts with actual results. Using an out-of-sample of 204 observations, it was found that a GARCH(1,1) is an accurate model for our purposes.
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This paper develops the model of Bicego, Grosso, and Otranto (2008) and applies Hidden Markov Models to predict market direction. The paper draws an analogy between financial markets and speech recognition, seeking inspiration from the latter to solve common issues in quantitative investing. Whereas previous works focus mostly on very complex modifications of the original hidden markov model algorithm, the current paper provides an innovative methodology by drawing inspiration from thoroughly tested, yet simple, speech recognition methodologies. By grouping returns into sequences, Hidden Markov Models can then predict market direction the same way they are used to identify phonemes in speech recognition. The model proves highly successful in identifying market direction but fails to consistently identify whether a trend is in place. All in all, the current paper seeks to bridge the gap between speech recognition and quantitative finance and, even though the model is not fully successful, several refinements are suggested and the room for improvement is significant.
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This research is empirical and exploratory intending to analyse the attractiveness of banking in Mozambique, considering its positive outlook. To identify the opportunities and barriers, the methods adopted were elite interviews with banking executives, complemented by secondary data. The opportunities for new entrants seem to include bankarization and the emergence of micro and smallmedium enterprises; other avenues seem to include investment banking, support of mega-projects (e.g. energy, infrastructures) through syndicates and cooperation with multilaterals, and the participation in developing capital markets. Conversely, the main barriers include shortage of talent, inadequate infrastructures, poverty, unsophisticated entrepreneurial culture (e.g. informal economy, inadequate financial reporting), burdensome bureaucracy (e.g. visas), foreign exchange regulation, as well as low liquidity and high funding costs for banks. The key conclusions suggest a window of opportunity for niche markets, and new products and services in retail and investment banking.
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The objective of this master thesis is to evaluate the impact of CSR measures in the financial performance of the European pharmaceutical industry. By definition, CSR measures is quantified as corporate social disclosure considering the published CSR keywords on the annual reports of the selected companies, over four fiscal years (2010-2013). The financial performance of the companies were measured as return on assets (ROA) and Tobin’s Q. In order to defend the hypothesis developed, a multivariate regression is performed. The results obtained show no significant impact on the financial performance of a company nor in the short-time, nor in the long-time. Moreover, by comparison with other studies, it was possible to conclude that the financial performance is differently affected when considering different industries.
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This paper studies the impact of the Brazilian anticorruption legislation, PL 6826/2010, on stock returns. I show that, around the law approval date, the greater the link between the corporate and political worlds, the worse is the companies’ performance. Companies awarded with public contracts in 2012 suffer more with the new legislation approval. Firms with above median contract values have 2.9% lower returns than its peers. The negative effect is more pronounced for bigger and more complex entities, associated with higher levels of Corporate Responsibility and Governance and not subject to the US FCPA.
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UNL - NSBE