The Portuguese contemporary art as an investment

In this paper we investigate what drives the prices of Portuguese contemporary art at auction and explore the potential of art as an asset. Based on a hedonic prices model we construct an Art Price Index as a proxy for the Portuguese contemporary art market over the period of 1994 to 2014. A performance analysis suggests that art underperforms the S&P500 but overperforms the Portuguese stock market and American Government bonds. However, It does it at the cost of higher risk. Results also show that art as low correlation with financial markets, evidencing some potential in risk mitigation when added to traditional equity portfolios.

An analog model for global macro investing

This study proposes a systematic model that is able to fit the Global Macro Investing universe. The Analog Model tests the possibility of capturing the likelihood of an optimal investment allocation based on similarity across different periods in history. Instead of observing Macroeconomic data, the model uses financial markets’ variables to classify unknown short-term regimes. This methodology is particularly relevant considering that asset classes and investment strategies react differently to specific macro environment shifts.

Predicting market direction with hidden Markov models

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.

The refinancing of Cimpor- Case study

The present case is about the refinancing of Cimpor, a highly profitable Portuguese cement group that encounters a set of obstacles in its debt restructuring. The case is intended to be used in a Corporate Finance class and is divided in three distinct parts: a case A which presents a detailed description of the internal and external events that increased Cimpor’s refinancing risk, a case B which informs the audience of the outcome of the refinancing process, and a Teaching Note with suggested questions and answers to be used in class. Key words:

Ser lean project- Internship at Millennium BCP

Financial institutions are turning their attentions to lean methodology. Strong competitive financial markets demand that organizations search for new ways to achieve competitive advantage. Lean thinking proposes a new method to reach high efficiency: the kaizen approach, which advocates a change in the mind set of all stakeholders towards continuous improvement. In this work project is represented the lean methodology applied at the bank, from a bottom-up spirit, as well as the evaluation of the benefits and the achievement of the proposed goals.

Has the time for renewables finally arrived? – An event study on EPA’s Clean Power Plan

The recent proposals presented by EPA aimed to reduce the dependency of fossil fuels and to lower current emissions levels, hoping to gradually shift electric generation units to renewable energy sources. Actually, the Final Rule Proposal announcement day exhibited a negative Abnormal Return on Fossil Fuels but the following days had positive Abnormal Returns, mostly due to legislative change perceived by financial markets which eased up implementation periods of the proposed measures in the Final Rule when compared to the Draft Rule. Oppositely, Renewables and Solar Portfolios exhibited negative Cumulative Abnormal Returns over the period surrounding the Final Rule.

Estrutura Conceptual do Relato Financeiro : Da Definição de um Domínio à Sua Análise para uma Sociedade em Rede

Considerando a língua como um produto da sociedade, mas também como um meio fundamental para o estabelecimento de relações entre os homens, procuramos perceber o seu lugar na sociedade globalizada, com o objectivo de desenvolver uma metodologia de análise terminológica que contribua para uma maior qualidade da comunicação especializada na sociedade em rede. Este trabalho está organizado em duas partes, sendo a primeira dedicada à reflexão sobre o papel da língua na sociedade em rede, focando questões essenciais em torno da tensão existente entre o multilinguismo e a hegemonia do inglês enquanto lingua franca, sobretudo no espaço europeu. Interessa-nos, por um lado, reflectir sobre a definição de políticas linguísticas, concretamente na Europa multilingue dos 28, e, por outro, salientar o papel preponderante que a língua tem na transmissão do conhecimento. A segunda parte deste trabalho concretiza a investigação efectuada na primeira com base na análise do relato financeiro, um domínio do saber que não só é inerentemente multilingue ¾ porque a sua aplicação é transnacional ¾ mas também reflecte a tensão identificada na primeira parte, na medida em que o inglês assume, no mundo dos negócios em geral e nos mercados financeiros em particular, o papel hegemónico de lingua franca. A abordagem terminológica que defendemos é semasiológica para fins onomasiológicos, pelo que partimos da análise do texto de especialidade, organizado em corpora de especialidade. Discutimos subsequentemente os resultados da nossa análise com os especialistas que os irão validar e cuja colaboração em diversos vi momentos do processo de análise terminológica e conceptual é fundamental para garantir a qualidade dos recursos terminológicos produzidos. Nesta óptica, exploramos um corpus de textos legislativos no âmbito do Sistema de Normalização Contabilística (SNC), de modo a delinearmos uma metodologia de trabalho que, no futuro, conduzirá à construção de uma base de dados terminológica do relato financeiro. Concomitantemente, efectuamos também um estudo sobre a Estrutura Conceptual do SNC, para o qual elaboramos uma comparação ao nível da tradução especializada no relato financeiro, com base num corpus paralelo composto pela legislação contabilística internacional endossada pela União Europeia. Utilizamos o corpus paralelo constituído por textos redigidos originalmente em inglês e traduzidos para português, em articulação com o corpus de especialidade criado com a legislação relativa ao normativo contabilístico português, para testar uma metodologia de extracção de equivalentes. Defendemos, por fim, que a harmonização no relato financeiro para além de se reger por políticas contabilísticas comuns, deve ter subjacentes questões terminológicas. É necessário, portanto, harmonizar a terminologia do relato financeiro, possibilitando aos especialistas uma comunicação em português isenta da interferência do inglês herdado das normas internacionais, através dos dois processos que identificamos: a tradução e a adaptação das Normas Internacionais de Contabilidade.

Os fatores de risco da rendibilidade das ações: análise e evidência empírica em países da Zona Euro

Tese de Doutoramento em Ciências Empresariais.

A nonlinear threshold model for the dependence of extremes of stationary sequences

One of the main implications of the efficient market hypothesis (EMH) is that expected future returns on financial assets are not predictable if investors are risk neutral. In this paper we argue that financial time series offer more information than that this hypothesis seems to supply. In particular we postulate that runs of very large returns can be predictable for small time periods. In order to prove this we propose a TAR(3,1)-GARCH(1,1) model that is able to describe two different types of extreme events: a first type generated by large uncertainty regimes where runs of extremes are not predictable and a second type where extremes come from isolated dread/joy events. This model is new in the literature in nonlinear processes. Its novelty resides on two features of the model that make it different from previous TAR methodologies. The regimes are motivated by the occurrence of extreme values and the threshold variable is defined by the shock affecting the process in the preceding period. In this way this model is able to uncover dependence and clustering of extremes in high as well as in low volatility periods. This model is tested with data from General Motors stocks prices corresponding to two crises that had a substantial impact in financial markets worldwide; the Black Monday of October 1987 and September 11th, 2001. By analyzing the periods around these crises we find evidence of statistical significance of our model and thereby of predictability of extremes for September 11th but not for Black Monday. These findings support the hypotheses of a big negative event producing runs of negative returns in the first case, and of the burst of a worldwide stock market bubble in the second example. JEL classification: C12; C15; C22; C51 Keywords and Phrases: asymmetries, crises, extreme values, hypothesis testing, leverage effect, nonlinearities, threshold models

The Timing of Asset Trade and Optimal Policy in Dynamic Open Economies

Using a standard open economy DSGE model, it is shown that the timing of asset trade relative to policy decisions has a potentially important impact on the welfare evaluation of monetary policy at the individual country level. If asset trade in the initial period takes place before the announcement of policy, a national policymaker can choose a policy rule which reduces the work effort of households in the policymaker’s country in the knowledge that consumption is fully insured by optimally chosen international portfolio positions. But if asset trade takes place after the policy announcement, this insurance is absent and households in the policymaker’s country bear the full consumption consequences of the chosen policy rule. The welfare incentives faced by national policymakers are very different between the two cases. Numerical examples confirm that asset market timing has a significant impact on the optimal policy rule.

Forecasting the European Carbon Market

In an effort to meet its obligations under the Kyoto Protocol, in 2005 the European Union introduced a cap-and-trade scheme where mandated installations are allocated permits to emit CO2. Financial markets have developed that allow companies to trade these carbon permits. For the EU to achieve reductions in CO2 emissions at a minimum cost, it is necessary that companies make appropriate investments and policymakers design optimal policies. In an effort to clarify the workings of the carbon market, several recent papers have attempted to statistically model it. However, the European carbon market (EU ETS) has many institutional features that potentially impact on daily carbon prices (and associated nancial futures). As a consequence, the carbon market has properties that are quite different from conventional financial assets traded in mature markets. In this paper, we use dynamic model averaging (DMA) in order to forecast in this newly-developing market. DMA is a recently-developed statistical method which has three advantages over conventional approaches. First, it allows the coefficients on the predictors in a forecasting model to change over time. Second, it allows for the entire fore- casting model to change over time. Third, it surmounts statistical problems which arise from the large number of potential predictors that can explain carbon prices. Our empirical results indicate that there are both important policy and statistical bene ts with our approach. Statistically, we present strong evidence that there is substantial turbulence and change in the EU ETS market, and that DMA can model these features and forecast accurately compared to conventional approaches. From a policy perspective, we discuss the relative and changing role of different price drivers in the EU ETS. Finally, we document the forecast performance of DMA and discuss how this relates to the efficiency and maturity of this market.

Why do UK banks securitize?

The eight years from 2000 to 2008 saw a rapid growth in the use of securitization by UK banks. We aim to identify the reasons that contributed to this rapid growth. The time period (2000 to 2010) covered by our study is noteworthy as it covers the pre- financial crisis credit-boom, the peak of the fi nancial crisis and its aftermath. In the wake of the financial crisis, many governments, regulators and political commentators have pointed an accusing finger at the securitization market - even in the absence of a detailed statistical and economic analysis. We contribute to the extant literature by performing such an analysis on UK banks, focussing principally on whether it is the need for liquidity (i.e. the funding of their balance sheets), or the desire to engage in regulatory capital arbitrage or the need for credit risk transfer that has led to UK banks securitizing their assets. We show that securitization has been signi ficantly driven by liquidity reasons. In addition, we observe a positive link between securitization and banks credit risk. We interpret these latter findings as evidence that UK banks which engaged in securitization did so, in part, to transfer credit risk and that, in comparison to UK banks which did not use securitization, they had more credit risk to transfer in the sense that they originated lower quality loans and held lower quality assets. We show that banks which issued more asset-backed securities before the financial crisis suffered more defaults after the financial crisis.

A Simple Characterization of Dynamic Completeness in Continuous Time

This paper investigates dynamic completeness of financial markets in which the underlying risk process is a multi-dimensional Brownian motion and the risky securities dividends geometric Brownian motions. A sufficient condition, that the instantaneous dispersion matrix of the relative dividends is non-degenerate, was established recently in the literature for single-commodity, pure-exchange economies with many heterogenous agents, under the assumption that the intermediate flows of all dividends, utilities, and endowments are analytic functions. For the current setting, a different mathematical argument in which analyticity is not needed shows that a slightly weaker condition suffices for general pricing kernels. That is, dynamic completeness obtains irrespectively of preferences, endowments, and other structural elements (such as whether or not the budget constraints include only pure exchange, whether or not the time horizon is finite with lump-sum dividends available on the terminal date, etc.)

Irish Land Bonds: 1891-1938

This paper introduces a new database on Irish land bonds listed on the Dublin Stock Exchange from 1891 to 1938: it outlines the nature of these bonds and presents data on their size, liquidity and market returns. These government-guaranteed bonds arose during a period when the possibility of Irish secession from the United Kingdom appeared ever more likely, and were used to finance the transfer of land ownership from landlords to tenants in Ireland (North & South). Movements in the prices of these bonds can help to understand how financial markets responded to events in the early economic and political history of the Irish Free State, including Irish partition, Independence, Civil War and de facto default. Understanding these issues has contemporary relevance for regions in Spain (Catalonia, Euskadi), Great Britain (Scotland) and Belgium (Flanders).

Education and the local equity bias around the world

Using a panel of 38 economies, over the period 2001 to 2010, we analyse the link between different facets of education and diversification in international portfolios. We find that university education, mathematical numeracy, in addition to financial skill, play an important role in reducing home bias. After separating countries according to their level of financial development, we find that less developed economies with more university graduates, or with higher level of mathematical numeracy, have lower level of local equity bias compared to more developed countries. We also find that the beneficial effect of education is more pronounced during the most recent financial crisis, especially for economies with less developed financial markets.