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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.

The purpose of this paper is to examine the extent to which “corporate governance” and “conservatism” variables can contribute to the predictive ability of corporate financial disclosures.

Multiple discriminant analysis is used to differentiate between good and poor companies in Australian manufacturing industry on the basis of their 2009 performance. A classification model including size, governance and conservatism variables, together with financial ratio data is constructed based on 2008 data, and used to predict 2009 performance.

A model with conservatism, total debt/total assets, company size, and “percentage of shareholdings held by non‐executive directors” (representing corporate governance) as its independent variables, has a classification accuracy of 80.6 percent, and a predictive accuracy of 62.2 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 the importance of both “conservatism” and “corporate governance” measures in determining corporate financial performance.

The paper uses familiar discriminant methods in an unfamiliar context – focusing on surviving companies exhibiting extremes of financial performance.

This study aims to make some contribution to the process of corporate compliance governance in China.

This paper adopts qualitative method, literature research, case analysis and comparative methods to explore the Chinese compliance governance model in the field of collusive bidding crimes.

In the process of criminal prosecution of enterprises suspected of committing crimes, the judicial authorities should promote the restoration of normal production and operation of corporate enterprises by promoting the construction of corporate compliance, which is conducive to solving the difficult problem of attribution of collusive bidding crimes. In addition, corporate compliance under prosecutorial supervision is also conducive to optimizing the regulatory path of collusive bidding and achieving more effective prevention and control of unit crimes in the mode of co-regulation between the state and corporate.

Compliance governance corporate crime is at a nascent stage in China, and this study seeks to provide some reference for future compliance review governance in China through the analysis of specific business crime cases.

This paper aims to construct a measure of integration among global banks and examine its impact on bank insolvencies and bank crises.

The authors apply principal component analysis to measure a bank’s degree of integration to the global banking market. Moreover, they test whether bank integration affects bank insolvency risk, in which they treat the equity of individual banks as a call option.

The authors find that the banking industry has become more globally integrated over the past two decades. At the individual bank level, results indicate that banks with higher integration levels have more assets, more nontraditional banking services and more interbank businesses. Overall, they find that a bank’s integration level is negatively associated with insolvency risk, which suggests that greater integration with global markets diversifies a bank’s risk. At the country level, banking systems with less integrated big banks, or more integrated smaller banks, are more stable and hence less likely to suffer a banking crisis.

The authors construct a novel measure of integration among global banks and examine its impact on bank insolvencies and bank crises.