Abstract Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such is emphasised by the costly high‐profile companies in recent past. Consequently, a significant interest has been generated within academia as well finance industry. Statistical attempt predict or success business. Discriminant logit analyses have traditionally most popular approaches, but there are also range...

Financial distress and then the consequent failure of a business is usually an extremely costly disruptive event. Statistical financial prediction models attempt to predict whether will experience in future. Discriminant analysis logistic regression have been most popular approaches, but there also large number alternative cutting – edge data mining techniques that can be used. In this paper, semi-parametric Cox survival model non-parametric CART decision trees applied compared with each...

Abstract Financial illiteracy is widespread amongst the elderly. Financially illiterate people are more likely to experience asset loss and outlive their savings after retirement. This paper measures financial literacy of elderly Australians using Item Responses Theory. Using a Lasso regression, we find that younger, married males with higher income greater net wealth be financially literate. Better also associated good health, educational attainment, better occupation outright home...

This paper analyzes the use of big data techniques in auditing and finds it not as widespread is other related fields. We first introduce contemporary to promote understanding their potential application. Next, we review existing research on accounting finance. In addition auditing, our analysis shows that extends across three genealogies: financial distress modelling, fraud stock market prediction quantitative modelling. Auditing lagging behind streams valuable techniques. A possible...

Abstract Consumption behaviour and financial literacy are primary factors in determining the well‐being of retirees. This paper uses an existing index to examine how directly, via interaction with consumption patterns, affects elderly Australians’ well‐being. We find that most Australians hold optimistic attitude towards their situation, those who relatively older, more educated, healthier outright homeowners likely report higher levels Financial significantly improves It also helps...

The development and application of computational data mining techniques in financial fraud detection business failure prediction has become a popular cross-disciplinary research area recent times involving economists, forensic accountants modellers. Some the popularly used context can also be effectively applied fraudulent insurance claims therefore, immense practical value to industry. We provide comparative analysis performance battery using real-life automotive data. While we have our...

Prediction of financial distress is a crucial concern for decision-makers, especially in industries prone to external shocks, such as the aviation sector. This study employs machine learning techniques on comprehensive global dataset companies develop highly accurate prediction models. These models empower stakeholders with informed decision-making capabilities navigate industry's challenges, most notably exemplified by COVID-19 pandemic. The industry holds substantial economic importance,...

Purpose Financial distress is a socially and economically important problem that affects companies the world over. Having power to better understand – hence aid businesses from failing, has potential save not only company, but also potentially prevent economies sustained downturn. Although Islamic banks constitute fraction of total banking assets, their importance have been substantially increasing, as asset growth rate surpassed conventional in recent years. The paper aims discuss these...

This paper proposes a new framework to provide insights into the techniques launderers adopt clean illicit funds, drawing on existing literature and theories including rational choice, public value, structural coupling, stakeholder. The proposed APPT is named after four factors that explain choice of techniques: Actors involved, Predicate crime, Purpose laundering, Technological innovations. While current money laundering primarily directs attention toward aspects such as regulatory...

ABSTRACT Using survey research, we investigate accountants' self‐rated knowledge of a variety digital technologies (DTs). We find that established DTs is almost in line with IES2 requirements, but their emerging significantly below requirements. Of greater concern, for both and DTs, key anticipated to have profound impact on accounting practice quite weak. These findings are consistent accountants across functions, career levels settings. discuss the implications these policy, curricula...

Abstract We investigate the statistical and economic effect of positive negative sentiment on daily excess returns volatility in FTSE 100 index, using business news articles published by Guardian Media Group between 01/01/2000 01/06/2016. The analysis indicates that while derived from aimed at retail traders does not influence it affect volatility, with increasing reducing it. Further, an ETF ‐based trading strategy based these findings is found to outperform naïve buy‐and‐hold approach.

Abstract This study enables practitioners and researchers to make an informed choice for a financial statement fraud detection model, rather than defaulting popular, yet dated, models. Using specifically devised performance criterion, our newly configured ensemble outperforms 31 others in the most comprehensive comparison date spanning parametric, non‐parametric, big data techniques. We use large set of input variables holdout relative prior studies. find empirical support non‐financial...

This article analyses how the financial literacy of elderly people affects their decisions on adoption various strategies. Multiple mediator models with bootstrap techniques are used to identify mediating mechanisms concerns that transmit effects onto specific We find (1) mediate majority literacy-strategy nexuses; specifically, financially illiterate more likely have and cut back spending, seek job opportunities, increase debts downsize or sell residence as a result; (2) literate...

In an effort to contribute a quantitative, objective and real-time tool proactively precisely manage the factors underlying exacerbating operational risks, this pre-registered study executes empirical methodology approved in associated report (Cornwell et al., 2023). The application of Bayesian network-based approach Australian insurance company shows that integrating financial institution's loss data way can effectively model probability event within its interconnected risk environment....