Guiding local regression using visualisation

Solving many scientific problems requires effective regression and/or classification models for large high-dimensional datasets. Experts from these problem domains (e.g. biologists, chemists, financial analysts) have insights into the domain which can be helpful in developing powerful models but they need a modelling framework that helps them to use these insights. Data visualisation is an effective technique for presenting data and requiring feedback from the experts. A single global regression model can rarely capture the full behavioural variability of a huge multi-dimensional dataset. Instead, local regression models, each focused on a separate area of input space, often work better since the behaviour of different areas may vary. Classical local models such as Mixture of Experts segment the input space automatically, which is not always effective and it also lacks involvement of the domain experts to guide a meaningful segmentation of the input space. In this paper we addresses this issue by allowing domain experts to interactively segment the input space using data visualisation. The segmentation output obtained is then further used to develop effective local regression models.

Essays in book -tax income differences and analyst forecasts /recommendations

Prior research suggests that book-tax income differences (BTD) relate to both firms' earnings quality and operating performance. In this dissertation, I explore whether and how financial analysts signal the implications of BTD efficiently. This dissertation is comprised of three essays on BTD. The three essays seek to develop a better understanding of how financial analysts utilize information reflected in BTD (derived from the ratio of taxable income to book income). The first essay is a review and discussion of prior research regarding BTD. The second essay of this dissertation investigates the role of BTD in indicating the consensus and dispersion of analyst recommendations. I find that sell recommendations are positively related to BTD. I also document that analyst coverage has a positive effect on the standard deviation of consensus recommendations with respect to BTD. The third essay is an empirical analysis of analysts' forecast optimism, analyst coverage, and BTD. I find a negative association between forecast optimism and BTD. My results are consistent with a larger BTD being associated with less forecast bias. Overall, I interpret the sum of the evidence as being consistent with BTD reflecting information about earnings quality, and consistent with analysts examining and using this information in making decisions regarding both forecasts and recommendations.

The Terminal Value (TV) Performing in Firm Valuation: The Gap of Literature and Research Agenda

The uncertainty about the future of firms must be modeled and incorporated in the valuation of enterprises outside the explicit period of analysis, i.e., in the continuing or terminal value (TV). There is a multiplicity of factors that influence the TV of firms which are not being considered within current evaluation models. This aspect leads to the incurring of unrecoverable errors, thus leading to values of goodwill or bad will far away from the substantial value of intrinsic assets. As a consequence, the evaluation results will be presented markedly different from market values. There is no consensus in the scientific community about the method of computation of the TV as a forecast in an infinite horizon. The size of the terminal, or non-explicit period, assumed as infinite, is never called into question by scientific literature, or the probability of business bankruptcy. This paper aims to promote a study of the existing literature on the TV, to highlight the fragility of the evaluation models of companies that have been used by the academic community and by financial analysts, and to point out lines for future research to minimize these errors.

Tuple-based morphisms for interoperability establishment of financial information models

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e Computadores

Tool for discovering sequential patterns in financial markets

The goal of this thesis is the study of a tool that can help analysts in finding sequential patterns. This tool will have a focus on financial markets. A study will be made on how new and relevant knowledge can be mined from real life information, potentially giving investors, market analysts, and economists new basis to make informed decisions. The Ramex Forum algorithm will be used as a basis for the tool, due to its ability to find sequential patterns in financial data. So that it further adapts to the needs of the thesis, a study of relevant improvements to the algorithm will be made. Another important aspect of this algorithm is the way that it displays the patterns found, even with good results it is difficult to find relevant patterns among all the studied samples without a proper result visualization component. As such, different combinations of parameterizations and ways to visualize data will be evaluated and their influence in the analysis of those patterns will be discussed. In order to properly evaluate the utility of this tool, case studies will be performed as a final test. Real information will be used to produce results and those will be evaluated in regards to their accuracy, interest, and relevance.

Characteristic Approach to Predicting Analysts’ Forecast Errors in the Finnish Market

Extensive literature shows that analysts’ forecasts and recommendations are often biased. Thus, it is important for the financial market to be able to recognize this bias to be able to correctly valuate public companies. This thesis uses characteristic approach, which was introduced by So (2013, pp. 615-640), to forecast analysts’ forecast errors and tests if predictable forecast error is fully incorporated into share prices. Data is collected of listed Finnish companies. Thesis’ timeframe spans over ten years from 2004 to 2013 consisting of 788 firm-years. Although there is earlier evidence that the characteristic approach is able to predict analysts’ forecast errors, no support for this is found in the Finnish market. This thesis contributes to the current knowledge by showing that the characteristic approach does not work universally as such but requires development to work especially in the smaller markets.

Compliance com os requisitos de divulgação do IFRS - International Financial Reporting Standards e sua relação com o erro de previsão dos analistas de mercado

O objetivo deste estudo é fazer uma análise da relação entre o erro de previsão dos analistas de mercado quanto à rentabilidade das empresas listadas na BM&FBOVESPA S.A. (Bovespa) e os requerimentos de divulgação do International Financial Reporting Standards (IFRS). Isto foi feito através da regressão do erro de previsão dos analistas, utilizando a metodologia de dados em painel no ano de implantação do IFRS no Brasil, 2010, e, complementarmente em 2012, para referenciamento desses dados. Partindo desse pressuposto, foi determinado o erro de previsão das empresas listadas na Bovespa através de dados de rentabilidade (índice de lucro por ação/earnings per share) previstos e realizados, disponíveis nas bases de dados I/B/E/S Earnings Consensus Information, providos pela plataforma Thomson ONE Investment Banking e Economática Pro®, respectivamente. Os resultados obtidos indicam uma relação negativa entre o erro de previsão e o cumprimento dos requisitos de divulgação do IFRS, ou seja, quanto maior a qualidade nas informações divulgadas, menor o erro de previsão dos analistas. Portanto, esses resultados sustentam a perspectiva de que o grau de cumprimento das normas contábeis é tão ou mais importante do que as próprias normas. Adicionalmente, foi verificado que quando a empresa listada na BM&FBOVESPA é vinculada a Agência Reguladora, seu erro de previsão não é alterado. Por fim, esses resultados sugerem que é importante que haja o aprimoramento dos mecanismos de auditoria das firmas quanto ao cumprimento dos requerimentos normativos de divulgação, tais como: penalidades pela não observância da norma (enforcement), estruturas de governança corporativa e auditorias interna e externa.

Reforming the international financial architecture: consensus and divergence

Includes bibliography

Financial decision making about found oil and gas in Ghana : real options vs. traditional methods

This research is a study of the use of capital budgeting methods for investment decisions. It uses both the traditional methods and the newly introduced approach called the real options analysis to make a decision. The research elucidates how capital budgeting can be done when analysts encounter projects with high uncertainty and are capital intensive, for example oil and gas production. It then uses the oil and gas find in Ghana as a case study to support its argument. For a clear understanding a thorough literature review was done, which highlights the advantages and disadvantages of both methods. The revenue that the project will generate and the costs of production were obtained from the predictions by analysts from GNPC and compared to others experts’ opinion. It then applied both the traditional and real option valuation on the oil and gas find in Ghana to determine the project’s feasibility. Although, there are some short falls in real option analysis that are presented in this research, it is still helpful in valuing projects that are capital intensive with high volatility due to the strategic flexibility management possess in their decision making. It also suggests that traditional methods of evaluation should still be maintained and be used to value projects that have no options or those with options yet the options do not have significant impact on the project. The research points out the economic ripples the production of oil and gas will have on Ghana’s economy should the project be undertaken. These ripples include economic growth, massive job creation and reduction of the balance of trade deficit for the country. The long run effect is an eventually improvement of life of the citizens. It is also belief that the production of gas specifically can be used to generate electricity in Ghana which would enable the country to have a more stable and reliable power source necessary to attract more foreign direct investment.

Does Mandatory IFRS Adoption in the EU Level the International Playing Field Between Foreign and Domestic Analysts? ACES Working Papers, October 2011

International Financial Reporting Standards (IFRS) have been promoted as a global set of financial reporting standards that will help integrate global capital markets. We examine whether the mandatory European-wide adoption of IFRS in 2005 improved the forecast accuracy for foreign analysts relative to that of domestic analysts. We find that, on average, foreign analysts experience no incremental improvement in forecast accuracy relative to domestic analysts. However, we find that those foreign analysts who are familiar with IFRS do experience an incremental improvement in forecast accuracy relative to domestic analysts. We also find that this incremental improvement in forecast accuracy relative to domestic analysts is concentrated among firms domiciled in countries with both strong enforcement regimes and domestic accounting standards that differ significantly from IFRS. Our results highlight that both familiarity with IFRS and the quality of countries' enforcement environments play key roles in determining the extent to which IFRS adoption can reduce information asymmetry between foreign and domestic analysts.

Szisztematikus optimizmus a válság idején = Overoptimism during the financial crises

Számos publikáció bizonyította, hogy az elemzők a tőzsdei vállalatokra készült egy részvényre jutó nyereség- (EPS-earnings per share) előrejelzéseikben szisztematikusabban kedvezőbb tervértéket adnak meg, mint a tényérték. A cikkben az EPS-előrejelzéseket vizsgálta meg a szerző a válság első másfél évében, melyek ezen időszakban is optimistának bizonyultak a vizsgált adatbázison. Az elmúlt húsz évben számos magyarázat látott napvilágot a pénzügyi előrejelzésekben tapasztalható „túltervezésre”. A viselkedéstani magyarázatok jelentős része az elemzők túlzott önbizalmát, jövőbe vetett túlzott optimizmusát jelölték meg okként. Jelen cikk – az empirikus kutatáson túl – nagy hangsúlyt fektet a két fogalom részletes bemutatására, mivel a válság éveit is optimista EPS-előrejelzések jellemezték. _____ There are numerous evidences from the 1980s that analysts give systematically more favorable forecasts for the earnings per share of listed companies than the fact, i.e. they are generally optimistic. In the current article the author investigated the EPS forecasting error in the first two and a half years of the crisis (2008-2010), which was also proved to be an era of the optimistic forecasting error. During the last 20 years reasons of so called “overplanning” have been explained in several ways. Many of these cognitive thinking patterns explanations relied on the phenomenon of overconfidence, and overoptimism without giving detailed description of these concepts. Beside the empirical part of the research current article puts more emphasis on the analysis of these theoretical concepts.

A válság mint negatív információ és bizonytalansági tényező. A válság hatása az egy részvényre jutó nyereség-előrejelzésekre (The financial crisis as negative information and a factor of uncertainty. Analysing the EPS forecasting error in Hungary and Austria)

A szerző a 2008-ban kezdődött gazdasági világválság hatását vizsgálja az egy részvényre jutó nyereség előrejelzésének hibájára. Számos publikáció bizonyította, hogy az elemzők a tényértékeknél szisztematikusan kedvezőbb tervértéket adnak meg az egy részvényre jutó előrejelzéseikben. Más vizsgálatok azt igazolták, hogy az egy részvényre jutó előrejelzési hiba bizonytalan környezetben növekszik, míg arra is számos bizonyítékot lehet találni, hogy a negatív hírek hatását az elemzők alulsúlyozzák. A gazdasági világválság miatt az elemzőknek számtalan negatív hírt kellett figyelembe venniük az előrejelzések készítésekor, továbbá a válság az egész gazdaságban jelentősen növelte a bizonytalanságot. A szerző azt vizsgálja, hogy miként hatott a gazdasági világválság az egy részvényre jutó nyereség- előrejelzés hibájára, megkülönböztetve azt az időszakot, amíg a válság negatív hír volt, attól, amikor már hatásaként jelentősen megnőtt a bizonytalanság. _____ The author investigated the impact of the financial crisis that started in 2008 on the forecasting error for earnings per share. There is plentiful evidence from the 1980s that analysts give systematically more favourable values in their earnings per share (EPS) forecasts than reality, i.e. they are generally optimistic. Other investigations have supported the idea that the EPS forecasting error is greater under uncertain environmental circumstances, while other researchers prove that the analysts under-react to the negative information in their forecasts. The financial crisis brought a myriad of negative information for analysts to consider in such forecasts, while also increasing the level of uncertainty for the entire economy. The article investigates the impact of the financial crisis on the EPS forecasting error, distinguishing the period when the crisis gave merely negative information, from the one when its effect of uncertainty was significantly increased over the entire economy.

On the Use of Regression and Verbal Protocol Analysis in Modeling Analysts’ Behavior in an Unstructured Task Environment: A Methodological Note

This paper discusses areas for future research opportunities by addressing accounting issues faced by management accountants practicing in hospitality organizations. Specifically, the article focuses on the use of the uniform system of accounts by operating properties, the usefulness of allocating support costs to operated departments, extending our understanding of operating costs and performance measurement systems and the certification of practicing accountants.

Financial distress, financial constraint and investment decision: Evidence from Brazil

This paper analyses the presence of financial constraint in the investment decisions of 367 Brazilian firms from 1997 to 2004, using a Bayesian econometric model with group-varying parameters. The motivation for this paper is the use of clustering techniques to group firms in a totally endogenous form. In order to classify the firms we used a hybrid clustering method, that is, hierarchical and non-hierarchical clustering techniques jointly. To estimate the parameters a Bayesian approach was considered. Prior distributions were assumed for the parameters, classifying the model in random or fixed effects. Ordinate predictive density criterion was used to select the model providing a better prediction. We tested thirty models and the better prediction considers the presence of 2 groups in the sample, assuming the fixed effect model with a Student t distribution with 20 degrees of freedom for the error. The results indicate robustness in the identification of financial constraint when the firms are classified by the clustering techniques. (C) 2010 Elsevier B.V. All rights reserved.