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This paper aims to examine the impact of the Australian Securities Exchange Corporate Governance recommendations on the breadth (amount of items covered) of (environmental and social) sustainability reporting by the firms in the Top 100, around the change from G3.1 to G4 disclosure regimes.

This paper undertakes comparisons of means and regression models to investigate the changes between disclosure scores of 98 listed entities from the 2013 G3.1 to the 2015 G4 disclosure regimes.

This paper finds that average disclosure levels did not change. Nonetheless, disclosure practices did vary by entity size and performance. Analysis of 2015 disclosures contingent on 2013 disclosure practice indicates that disclosure changes are consistent with a pattern of mean reversion.

Evidence that low disclosers increased disclosure and high disclosers reduced disclosers is consistent with the idea that sustainability disclosure is not so much driven by any ethical considerations, but rather by a desire to not be a disclosure outlier. Reliance on voluntary disclosure to achieve a socially desired level of disclosure is unlikely to bear fruit.

This paper contributes to the literature on sustainability by examining firm responses to change in disclosure regimes, and concluding that size and peer relativities drive the disclosure process.

Given the impending introduction of legislation requiring large Australian listed companies to make supply chain disclosures about modern slavery, the paper aims to reveal current voluntary practice. The purpose of this paper is to provide a benchmark for assessing the current engagement of large companies with modern slavery in Australia.

Institutional theory provides the foundation for assessing current voluntary practice in relation to modern slavery disclosures by large Australian listed companies. Content analysis is used to identify quantity and quality of modern slavery disclosures of the top 100 companies listed on the Australian Stock Exchange. The contents of annual and standalone reports available on websites, as well as other online disclosures, are examined using terms associated with modern slavery identified from the literature.

Evidence gathered about modern slavery disclosures by ASX 100 companies shows information in annual and standalone reports reveal far less than other disclosures on company websites. Overall, the volume and quality of disclosures are low and, where made, narrative. A wide range of themes on modern slavery are disclosed with bribery and corruption and human rights issues dominant. Although currently in line with institutional theory, as there appear to be mimetic processes encouraging disclosure, results support the idea that legislation is needed to encourage further engagement.

The paper provides a baseline of understanding about the volume and quality of modern slavery disclosures as a foundation for future research into the practices of Australian companies prior to the signalled introduction of legislation mandating reporting. It also identifies potential lines of research. The sample only examines large Australian listed companies which restricts generalisation from the results.

This is the first academic research paper to examine quantity and quality of modern slavery disclosures of large Australian companies. Results add support for the introduction of legislation by government.

The algorithmic trading has advanced exponentially and necessitates the evaluation of intraday stock market forecasting on the grounds that any stock market series are foreseen to follow the random walk hypothesis. The purpose of this paper is to forecast the intraday values of stock indices using data mining techniques and compare the techniques’ performance in different markets to accomplish the best results.

This study investigates the intraday values (every 60th-minute closing value) of four different markets (namely, UK, Australia, India and China) spanning from April 1, 2017 to March 31, 2018. The forecasting performance of multivariate adaptive regression spline (MARSplines), support vector regression (SVR), backpropagation neural network (BPNN) and autoregression (1) are compared using statistical measures. Robustness evaluation is done to check the performance of the models on the relative ratios of the data.

MARSplines produces better results than the compared models in forecasting every 60th minute of selected stocks and stock indices. Next to MARSplines, SVR outperforms neural network and autoregression (1) models. The MARSplines proved to be more robust than the other models.

Forecasting provides a substantial benchmark for companies, which entails long-run operations. Significant profit can be earned by successfully predicting the stock’s future price. The traders have to outperform the market using techniques. Policy makers need to estimate the future prices/trends in the stock market to identify the link between the financial instruments and monetary policy which gives higher insights about the mechanism of existing policy and to know the role of financial assets in many channels. Thus, this study expects that the proposed model can create significant profits for traders by more precisely forecasting the stock market.

This study contributes to the high-frequency forecasting literature using MARSplines, SVR and BPNN. Finding the most effective way of forecasting the stock market is imperative for traders and portfolio managers for investment decisions. This study reveals the changing levels of trends in investing and expectation of significant gains in a short time through intraday trading.

This paper aims to examine the “quality” of narrative risk management disclosures (RMD) from a “quantity” and “richness” (width and depth) perspective, utilising a finer-grained approach. Evidence is then provided on the relationships between RMD quality and the corporate determinants driving that quality.

Within a multidimensional quality disclosure framework, annual report narrative RMD from the top 100 Australian Securities Exchange (ASX) listed companies precisely “matched” for the 2010 and 2012 years were examined using semantic content analysis. The relationship between the dimensions and sub-dimensions of RMD “quantity” and “richness”, and various corporate characteristics were explored using ordinary least squares (OLS) regression analysis.

The results indicate that RMD are considerably lacking in quality, from the “quantity”, “width” and particularly the “depth” dimension and sub-dimensions for both years. Many companies provide “boiler plate” RMD over consecutive years and many do not comply with the intent of the ASX Corporate Governance Principles and Recommendations under the “if not, why not” regime (ASX CGC, 2010). Company size and cross-listing were found to be the primary determinants of higher quality RMD and, to a lesser extent, firm risk. Some evidence was found that “quality” RMD were less likely where companies are more highly leveraged and when their shareholders are more concentrated.

Although two coders independently coded the RMD and specific decision rules were followed, the subjectivity inherent in conducting semantic content analysis into the dimensions and sub-dimensions of the framework cannot be completely eliminated. However, by adopting a finer-grained approach, this study contributes to the global literature on the quality of RMD. Previous studies are extended by analysing and testing the individual dimensions and sub-dimensions of “quantity” and “richness” which provides new empirical evidence and a more comprehensive portrayal of RMD quality and a greater understanding why some companies are more likely to disclose higher quality RMD than others.

These results provide useful and predominantly new empirical evidence on the quality of RMD for practitioners, regulators and researchers. As many companies are not complying with the “intent” of the “if not, why not” approach, these results support the argument for mandated narrative RMD regulations at an international level.

The multidimensional framework of RMD “quantity” and “richness” provides a basis for examining not only how much is disclosed, but what is disclosed and how. In adopting a finer-grained approach, this study analyses and tests the individual dimensions and sub-dimensions of the framework. This provides a deeper understanding of the overall quality of RMD and the determinants driving RMD quality for the sample companies.

US studies show significant price effects when shares enter or leave an index during index revisions. Studies on other markets generally yield similar results with smaller price reactions. This study aims to examine the price effects resulting from revisions to the Australian S&P/ASX 100 and 300 indices.

The event study methodology is used to examine abnormal price and volume effects around the announcement dates and implementation dates of index revisions.

In contrast with studies on US index changes, this study shows no abnormal returns for additions to or deletions from the S&P/ASX 100 index and only a weak effect for the S&P/ASX 300, which showed a median abnormal return of  + 1.06 per cent on the implementation date for additions and −2.78 per cent for deletions.

These results give a cautionary warning to those who wish to speculate on the changes to index constituents on the Australian market, or other similar markets where the strength of the index effect has not been clearly quantified.

This study adds to the body of knowledge on the index effect by providing Australian evidence.

This paper aims to use Australian analysts' forecast data to compare the relative accuracy of consensus and the most recent forecast in the month before the earnings announcement.

Cross‐sectional regression is used on a sample of 4,358 company‐year observations of annual analyst forecasts to examine whether the number of analysts following and the timeliness of an individual analyst's forecast is more strongly associated with the superior forecast measure.

The results suggest that whilst in the late 1980s the most recent forecast was more accurate than the consensus, since the early 1990s the accuracy of the consensus forecast has outperformed the most recent forecast in 15 out of 17 years, and the differences are significant for nine out of 15 years. The forecasting superiority of the consensus can be attributed to the aggregating value of the consensus outweighing the small timing advantage of the most recent forecast over the short forecast horizon examined in this paper.

Given the consistent use of analysts' forecasts as proxies for expected earnings in Australian research, this paper provides insights to what extent the expected level of forecast accuracy is realised and the reasons for the greater accuracy in the superior forecast measure.

The findings confirm market practitioners' views that the consensus forecast is a better measure of the market's earnings expectations.

This paper provides direct evidence of the accuracy of alternative forecast measures and the importance of diversifying idiosyncratic individual error across analyst forecasts.

This paper aims to examine the relationship between risk management committees (RMCs) and risk management disclosure (RMD) quality. Specifically, the existence of stand-alone RMCs and a number of RMC characteristics, including RMC size, RMC independence, number of RMC meetings and RMC members’ human capital is investigated.

The sample comprises top 100 Australian Securities Exchange (ASX)-listed companies during the period between 2010 and 2012, when RMD began to be guided by detailed recommendations in Australia. Following the RMD framework used by Jia et al. (2016), RMD quality is measured based on its quantity, relevance, width and depth. Ordinary least squares (OLS) regressions were used to test the relationship between stand-alone RMC, RMC characteristics and RMD quality.

The results show that the existence of a stand-alone RMC, the human capital of RMC and RMC size are positively associated with RMD quality. In contrast, RMC independence and the number of RMC meetings are not found to have a significant association with RMD quality.

This study contributes to the current RMD literature by investigating whether a stand-alone RMC and different RMC characteristics are associated with RMD quality. The results of this study provide useful and new empirical evidence about the relationship between RMCs and RMD quality for researchers, companies, and regulators.

This paper aims to explore how corporate Australia engages in reconciliation through recognizing and providing pathways for Indigenous Australians' corporate leadership aspirations.

The research design is informed by the prior literature on pathways by minority groups to corporate leadership through the theoretical lens of transformational leadership. The investigation is conducted using textual analysis of reconciliation action plans (RAPs), a contemporary and voluntary practice adopted by Australian listed companies to disclose their commitment to national reconciliation. RAPs are publicly available from the official websites of listed companies.

The analysis of contemporary RAPs highlights organizational initiatives to support Indigenous Australians related to corporate and community leadership. Since the authors’ focus is the former, corporate leadership initiatives are further analyzed. Two initiatives for Indigenous Australians to pursue corporate leadership positions are emerging future leaders' programs and mentoring programs. This is the extent to which the authors observe Australian firms' transformational leadership. While some firms have implemented these initiatives with specific targets, other firms do not have specific initiatives or targets. The paper also conducts longitudinal analysis into the transformational leaders' past RAPs and triangulates to other evidence of reconciliation commitment such as the Uluru Statement from the Heart.

This paper contributes new insights to the research area of board cultural diversity, specifically to the limited literature on Indigenous reconciliation. It provides insights into firms and policymakers to address the ongoing issue of the underrepresentation of Indigenous Australians in corporate leadership. The sample of firms comprises Australian listed firms that have adopted higher-order RAPs, which restricts the generalizability of the findings to other sectors.

This paper explores the under researched phenomenon of Indigenous people's pathways to corporate leadership. The research design is informed by transformational leadership theory through considering institutional actions for reconciliation. This research provides evidence of the extent to which corporate Australia has taken action on the issue of the under-representation of Australian Indigenous people in corporate leadership.

The purpose of this study is to examine the linkages between Australian house prices and stock prices under the Toda and Yamamoto test framework. Specifically, it investigated whether there is a capital switching effect between house prices and stock prices.

This study examined the linkages between house prices and stock prices under the Toda and Yamamoto test framework. To accommodate the impact of the global financial crisis (GFC), a sub-period analysis was undertaken. To assess the impact of investor structure, the tests were also performed for small cap stocks and large cap stocks individually.

The empirical results reveal a negative lead–lag relationship between house prices and stock prices in Australia, suggesting the existence of capital switching activities between housing and stocks. The impact of the GFC on the lead–lag relationship between house prices and stock prices is also documented. Before the crisis, a causality transmission was running from house prices to stock prices, whilst stock prices appeared to lead house prices after the crisis. The capital switching activities between housing and stocks are more evident for small cap stocks.

This study is the first to examine the linkages between house prices and stock prices under the Toda and Yamamoto test framework. This is the first study to explore the impacts of the GFC on the lead–lag relationship between the two asset prices under the capital switching framework. This study is also the first to provide empirical evidence regarding the existence of capital switching activities between housing and stocks. In addition, the impact of investor structure on the interrelationship between the two asset prices is examined for the first time under the capital switching framework.

The purpose of this paper is to study whether auditor independence reforms introduced in 2004 led to an enhancement in earnings quality in the post-reform era.

This study predicts that as the cost of compliance will vary based on a firm's existing corporate governance regime and the level of external scrutiny (monitoring) it faces, we compare the earnings quality of a sample of “established” (S&P/ASX 100) to a sample of “emerging” (S&P/ASX Small Ordinaries Index) firms. The paper examines the reporting behaviour of the two groups of listed entities, covering the regulatory change period 2003-2006. The paper uses regression modelling to test the associations between increased audit independence, earnings quality and corporate governance mechanisms over the pre- and post-regulatory period.

The paper's results confirm that earnings quality for the established firms was enhanced in the post-reform period; while this was not the case for emerging firms. The evidence also suggests that corporate governance mechanisms of board independence and board financial skill are associated with higher earnings quality; while the higher the concentration of insider firm ownership is associated with lower earnings quality.

This study provides policy makers with evidence as to changes in reporting behaviour following law reform aimed at strengthening auditor independence.

The studies on earnings quality are informed by the US market practices. Australia provides a unique setting through its auditor independence reforms to examine the impact of reform choices. This study also investigates two specific subsets of the market: established firms and emerging firms.