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Introduction: Financial failure is a concept that may arise from many internal and external factors such as operational, financial, and economic items and may incur serious losses. Over-indebtedness arising from managerial misjudgments may cause high financial distress, insufficiency, and bankruptcy. In this regard, determination of effects of capital structure decisions on financial failure risk is crucial.

Aim: The main purpose of this study is to explore the relationship between capital structure decisions and financial failure risk. For this purpose, data from Borsa İstanbul (BIST) for listed food and beverage companies for the period from 2004 to 2019 is used. Another purpose of this study is to compare the financial failure models considering capital structure theories.

Method: In the study, capital structure decisions are associated with five different financial ratios; while the financial failure risk is proxied by financial failure scores of Altman (1968), Springate (1978), Ohlson (1980), Taffler (1983), and Zmijewski (1984). Therefore, five different panel data models are used for testing these hypotheses.

Findings: The results of panel data analysis reveal that capital structure decisions have statistically significant effects on financial failure risk for all models; however, those effects vary from one financial failure model to another. Also, the results show that in the models in which financial failure risk is proxied by the Altman (1968) and Taffler (1983) scores, the aggressive financial policies increase the financial failure risk. However, regarding the models in which financial failure risk is proxied by the Springate (1978), Ohlson (1980), and Zmijewski (1984) scores, aggressive financial policies decrease the financial failure risk.

Originality of the Study: To the best of our knowledge, this chapter is original and important in terms of revealing the effects of capital structure decisions on the financial failure risk and comparing the financial failure models.

Implications: The results revealed that the risk of financial failure models represented by Altman (1968) and Taffler (1983) scores are found to be statistically stronger and more successful in meeting theoretical expectations compared to other models. Therefore, it would be more appropriate to refer Altman’s (1968) and Taffler’s (1983) financial failure models in financial failure risk measurements.

In this study, scales are developed for phantasy and its determinants, which is accepted as an important variable in investment preference with an emotional finance perspective. The scales developed in this framework are narrative, divided mind, group feel, informed herding, uninformed herding and phantasy. In addition, the power of these determinants to explain phantasy was investigated.

For this purpose, the data was obtained between May 01, 2019 and November 30, 2019 via an online survey with convenience sampling. First, a pilot study consisting of 200 subjects was performed. Then, additional data was collected. The total number of subjects was 648. The authors used IBM SPSS Statistics and AMOS for analysis. Exploratory factor analysis and discriminant analysis were performed. In addition, confirmatory factor analysis was performed after an additional data collection process with structural equation modeling.

As a result of analyses, the validity and reliability of these scales were ensured statistically. It was also found that divided mind directly affects phantasy, but group feel and narrative indirectly affect by informed herding. The “unknown and new investment” preference, which is accepted as a typical feature of the bubble periods, is modeled with the relevant variables. In this framework, it has been found that the variables that refer individuals to the relevant investment preferences are phantasy, group feel, uninformed herding and divided mind.

The study is unique because of its findings and developed scales. The findings are valuable in that the theoretically alleged relations were also obtained empirically.

The ever‐increasing cost of seeing a graduate training contract through to its successful completion has made the selection decision, and indeed the choice of selection techniques used, increasingly vital. This paper identifies the selection methods currently used by the Scottish accountancy profession to recruit graduate trainees, compares these against best practice and highlights a number of areas where improvements to current practice would be recommended. Analysis of the selection literature revealed the range of selection techniques on offer, and from a consideration of the validity and reliability of each technique, it was possible to identify best practice in graduate selection. Data was collected by sending a questionnaire to 79 firms of Scottish Chartered Accountants. The targeted firms constituted the entire population of Scottish firms seeking to recruit a graduate trainee to commence in Autumn 2002 (as detailed within the annual ICAS Directory of Training Vacancies). Using the results of the primary and secondary data, the skills currently being sought by firms of Chartered Accountants in their graduate trainees were identified. The methods used by firms to identify these skills were then examined with each method being examined in terms of its current use as well as its value and effectiveness in practice. It was found that there have been significant changes to the skill‐set sought by firms in the early 21st Century as compared with a decade ago, with less emphasis on numeracy and more interest in softer skills such as communication and problem‐solving. As regards the techniques currently employed by firms to identify these skills, it was found that there has been some progress made over the last decade. However, the majority of firms are still reluctant to let go of what is now considered to be the more traditional interview‐based approach to selection, favouring this above what might be considered the more innovative techniques on offer. Further, it was found that few firms have designed their selection process specifically to identify the skill‐set that they have delineated. Thus, a consequent lack of consistency throughout the selection decisions was evidenced.

The thinking of the philosopher Baruch Spinoza is gradually entering the field of social science. In this paper, we are particularly interested in applying his theory of affects to the analysis of passionate collective behaviours at work in the field of financial markets. The general hypothesis that underpins our work is the idea that, in a context of radical uncertainty about the future, the succession of common affect regimes translates into passionate sequences that determine investor behaviour and produce market dynamics. Using an analysis of the stock market cycles of Taffler, Bellotti, and Agarwal (2018), Taffler, Agarwal, and Wang (2019), we show that the Spinozist concept of common affects can help us to understand the mechanisms in the production of collective emotion and to account for the speculative dynamics at the origin of the great financial bubbles.

Presumably all revolutions have some good and some bad effects. It is with the latter and the computer revolution that we are concerned with here (Information Technology is merely the latest stage). The trouble with revolutions is that they occur quickly — in our case the speed of the development of ideas (of application) has not kept up with increasing technical facilities. The morals are mainly educational and concern the philosophy and methodology of science.

The purpose of this paper is to investigate the relationship between narrative disclosures and corporate performance based on Australian evidence. In particular it builds a model which discriminates between good and poor performing companies based on their corporate narratives.

A sample of Australian manufacturing companies is classified into two groups based on earnings per share (EPS) movement between 2008 and 2009. A content analysis of their discretionary narrative disclosures is used to classify and predict group membership.

This study finds that the word‐based variables based on discretionary disclosures are significantly correlated with corporate performance. Word‐based variables can successfully classify companies between “good” performers and “poor” performers with an accuracy of 86 percent.

The relatively small sample size, for Australian manufacturing companies, limits both the predictive ability of the model and its generalisability elsewhere.

The findings of the paper demonstrate that certain keywords, notably the use of “high/highest” and “dividends” are significantly and positively associated with superior performance.

The study builds a classification model for continuing Australian companies, whereas prior research focuses on UK and US companies and is based on a healthy/failed distinction.

Accounts manipulation has been the subject of research, discussion and even controversy in several countries including the USA, Canada, the U.K., Australia, Finland and France. The objective of this paper is to provide a comprehensive review of the literature and propose a conceptual framework for accounts manipulation. This framework is based on the possibility of wealth transfer between the different stake‐holders, and in practice, the target of the manipulation appears generally to be the earnings per share and the debt/equity ratio. The paper also describes the different actors involved and their potential gains and losses. We review the literature on the various techniques of accounts manipulation: earnings management, income smoothing, big bath accounting, creative accounting, and window‐dressing. The various definitions of all these, the main motivations behind their application and the research methodologies used are all examined. This study reveals that all the above techniques have common elements, but there are also important differences between them.

There is strong excitement during Ponzi schemes and financial bubble periods. This emotion causes investors to turn to “unknown and new investment instruments”. This study, the factors that made “unknown and new investment instruments” preferable to “known and experienced investment instruments” were investigated.

It was taken into account unconscious like phantasy, emotional like emotional intelligence, both affective and cognitive like financial literacy and subjective beliefs like trust and overconfidence. In addition, risk preferences were measured with four different risk variables. In this context, data were collected by online survey method between November 2020 and May 2021 with convenience sampling. First, the data were collected from 832 participants in the pilot study. Additional data were also collected using convenience sampling and online surveys, and a total of 1,692 participants were obtained. Data were analyzed using Statistical Package for the Social Sciences (SPSS) 25 and AMOS 24.

As a result of the analyses made, the variables that lead investors to choose “unknown and new investment instruments” were determined as risky investment intention, phantasy, risk taking/risk avoidance, confidence, risk tolerance and subjective financial literacy. Trust and risk perception have a very weak effect on preferences. However, no effect of emotional intelligence and objective financial literacy was detected. In addition, a moderately positive and significant relationship was found between objective and subjective financial literacy. Subjective financial literacy was found to have a strong and significant relationship with emotional intelligence, confidence, trust, risky investment intention and phantasy.

This study investigates the factors underlying individuals' investment preferences from a broad perspective. We think that this study is unique in this structure and wide variables. We believe that the findings obtained in this manner are unique to both academics and practitioners. We also believe that the findings of the study will make an important contribution to understanding participation behavior in various Ponzi schemes and financial bubbles.