Practices and attitudes to derivatives use in Australian commonwealth organisations

Little is known about risk management in the public sector This study reports on a survey of senior officers in Australian Commonwealth companies and statutory authorities concerning their practice and attitudes towards the use of derivative instruments for risk management. Using a variety of tests, the most important issue identified by respondents concerning the use of derivatives is for budgeting purposes. Of note, respondents rank commonly cited reasons advanced in the private sector such as reduced bankruptcy costs and taxation, as being relatively unimportant, which is consistent with arguments advanced in the paper The results also indicate that there are significant differences in the level of importance in some issues regarding derivatives use across public sector organisations, particularly those differentiated by a documented risk management plan. The study also documents for the first time the extent of derivatives use in the Australian public sector.

Cross-border insolvency: Adoption of CLERP 8 as an evolution of Australian insolvency law

In 1997 the United Nations adopted the UNCITRAL Model Law on Cross-Border Insolvency and recommended that member states adopt it as part of domestic legislation. In 2002 Australia, an active participant in UNCITRAL's Working Group on Insolvency Law, announced that the next phase of the Commonwealth Government's Corporate Law Economic Reform Program would be a review of cross-border insolvency law. CLERP 8 seeks feedback on the proposed enactment of the Model Law by a separate Commonwealth statute. This article places such a development within the context of Australian cross-border insolvency law as it has evolved from early English bankruptcy legislation through case law arising from the banking collapses of the late 19th century to the more recent jurisprudence produced by corporate collapses of the late 1980s to early 1990s and current high-profile insolvencies.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Survival Analysis Employed in Predicting Corporate Failure: A Forecasting Model Proposal

In face of the current economic and financial environment, predicting corporate bankruptcy is arguably a phenomenon of increasing interest to investors, creditors, borrowing firms, and governments alike. Within the strand of literature focused on bankruptcy forecasting we can find diverse types of research employing a wide variety of techniques, but only a few researchers have used survival analysis for the examination of this issue. We propose a model for the prediction of corporate bankruptcy based on survival analysis, a technique which stands on its own merits. In this research, the hazard rate is the probability of ‘‘bankruptcy’’ as of time t, conditional upon having survived until time t. Many hazard models are applied in a context where the running of time naturally affects the hazard rate. The model employed in this paper uses the time of survival or the hazard risk as dependent variable, considering the unsuccessful companies as censured observations.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Praying Doves and Preying Vultures

The most saddening feature in this entire debate is that the Church in Goa, instead of transmitting the image of kingdom of God, of Jesus who emptied himself (kenosis) and was crucified with nothing that he could call his own (“rights”) is increasingly revealing a spiritual bankruptcy. Obviously, the mystical body does not feed on mystical rice and curry. A mere suggestion of State legislation to check the transparency and accountability of the temporal goods of the Church was sufficient to raise the hackles of the rich and the powerful who need the Church, but present themselves as its faithful servants, who can ensure that the more humble sons and daughters of the Church benefit from crumbs of their charity. *Spiritus ubi vult spirat* – the Spirit blows where it wills, and the history of the Church has umpteen illustrations of this. As the saying goes, “The road to Hell is paved with good intentions”. Only the kicks of history have brought about most significant reforms.

Previsão da vulnerabilidade financeira no setor sem fins lucrativos

Dissertação de Mestrado em Ciências Económicas e Empresariais

Estudo empírico sobre insolvências no setor de alojamento e restauração

Mestrado em Contabilidade e Análise Financeira

A eficácia dos modelos de previsão de falência: aplicação ao caso das sociedades portuguesas

Mestrado em Controlo e Gestão e dos Negócios

Marketing: estratégias de sucesso em tempos de crise económica

Mestrado em Gestão e Empreendedorismo

Estudo sobre a memória longa na volatilidade dos preços do ouro : uma abordagem com base nos modelos de tipo ARCH

Mestrado em Contabilidade e Análise Financeira

A gestão do risco em instituições bancárias: uma análise com recurso a medidas de avaliação da performance ajustadas ao risco

Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria sob orientação do Mestre Carlos Mota

A Influência da teoria da agência na estrutura de capital na indústria do calçado

apresentado ao Instituto de Contabilidade e Administração do Porto para a Dissertação de Mestrado para obtenção do grau de Mestre em Contabilidade e Finanças sob orientação do Mestre Adalmiro Álvaro Malheiro de Castro Andrade Pereira

A exoneração do passivo restante: considerações sobre as causas de indeferimento liminar

Dissertação de Mestrado em Solicitadoria

Classificação dos créditos sobre a insolvência – Os créditos subordinados

Dissertação de Mestrado em Solicitaria