Business Commons^™

Nonlinear Time Series And Neural-Network Models Of Exchange Rates Between The Us Dollar And Major Currencies, David E. Allen, Michael Mcaleer, Shelton Peiris, Abhay Kumar Singh

Research outputs 2014 to 2021

This paper features an analysis of major currency exchange rate movements in relation to the US dollar, as constituted in US dollar terms. Euro, British pound, Chinese yuan, and Japanese yen are modelled using a variety of non-linear models, including smooth transition regression models, logistic smooth transition regressions models, threshold autoregressive models, nonlinear autoregressive models, and additive nonlinear autoregressive models, plus Neural Network models. The models are evaluated on the basis of error metrics for twenty day out-of-sample forecasts using the mean average percentage errors (MAPE). The results suggest that there is no dominating class of time series models, and …

Prediction Models For Corporate Financial Distress In Southeast Asia, Viet Dung Dinh

ECU Posters

Building prediction models of corporate financial distress plays a critical part of evaluating and managing credit risk. There is a combination of financial statements and volatility in market values of firm assets to measure distance to default as well as discriminate between distressed and non-distressed firms

Improving Forensic Software Tool Performance In Detecting Fraud For Financial Statements, Brian Cusack, Tau’Aho Ahokov

Australian Digital Forensics Conference

The use of computer forensics is important for forensic accounting practice because most accounting information is in digital forms today. The access to evidence is increasingly more complex and in far greater volumes than in previous decades. The effective and efficient means of detecting fraud are required for the public to maintain their confidence in the reliability of accounting audit and the reputation of accounting firms. The software tools used by forensic accounting can be called into question. Many appear inadequate when faced with the complexity of fraud and there needs to be the development of automated and specialist problem-solving …

Corporate Governance And Environmental Disclosure In The Indonesian Mining Industry, Terri Trireksani, Hadrian Geri Djajadikerta

Research outputs 2014 to 2021

Sustainability and corporate governance issues are now considered to be important and integral aspects of company performance. Both have established themselves as well-studied topics in the organisational and accountability areas. While there has been a growing interest to study the relationship between these two areas, research publication in this topic is still mainly focused on the Western societies. This study focuses on the corporate governance and sustainability disclosure practices in one of the emerging economies, Indonesia, and assesses the relationships between corporate governance variables and the extent of environmental disclosures made by the mining companies listed in the Indonesia Stock …

Factors Affecting Csr Disclosure In Nepalese Banks: A Global Reporting Initiative Perspective, Gopi Bidari

Theses: Doctorates and Masters

This thesis examines the extent of Corporate Social Responsibility (CSR) disclosures made by Nepalese banks in their annual reports based on GRI G4 guidelines. Also, this thesis accentuates the relationships between the influencing factors (i.e. bank size, bank age, bank profitability and ownership structure) and the CSR disclosure levels (i.e., economic, social, environmental and the overall CSR disclosures).

A sample of 82 banks was selected from the Nepal Stock Exchange for the year 2014. CSR related information was collected from the annual reports of the sample banks. Content analysis and multiple regression analysis tools were used to test the developed …

Measuring The Quality And Identifying Influencing Factors Of Sustainability Reporting: Evidence From The Resources Industry In Australia, Siew Hoon Ong

Theses: Doctorates and Masters

The lack of a standardised reporting framework in sustainability reporting has resulted in companies producing unaudited generic sustainability information that are not reflective of companies’ actual sustainability performance. The disclosures also differ in quality and hinder comparison. This study addresses these problems with the development of a new scoring index that integrates the hard and soft principles in Clarkson, Li, Richardson and Vasvari’s (2008) environmental index with performance indicators of the Global Reporting Initiatives (GRI) framework. The newly developed index comprises all three aspects of sustainability (economic, environmental and social) and adopts a standardised scoring scale that is reflective of …

The Effect Of Hypothesis Framing, Prior Expectation And Professional Trait Scepticism On Experts’ And Novices’ Evidence Selected In A Complex Task, Abhijit Das

Theses: Doctorates and Masters

This study examines evidence selection strategy among external auditors (i.e. professionals) and accounting students (i.e. novices) in a going concern assessment task considering three factors; hypothesis framing, prior expectation and professional “trait” scepticism as measured by Hurtt (2010) scale. Within this context, the study sets out to accomplish three goals: (1) to re-examine evidence selection strategy based on hypothesis framing and prior expectation, (2) to validate the Hurtt (2010) scale using expert reviews and confirmatory factor analysis and (3) to investigate whether professional trait scepticism influences selection strategy.

Owing to the incidence of high-profile accounting and auditing scandals worldwide, the …