Unconditional conservatism under the Chinese version of IFRS

This study explores the level of unconditional conservatism (UNCC) in accounting after China’s convergence with International Financial Reporting Standards (IFRS). Using the intercept of the Basu (1997) model, an overall reduction is found in UNCC under the Chinese version of IFRS. This study is the first attempt to conduct a comprehensive theoretical comparison between old and new Chinese accounting standards (CAS) in terms of UNCC. Additionally, it is the first study on the impact of convergence with IFRS, not the full adoption of IFRS, on UNCC. Finally, the study covers a relatively more extended period than most previous studies, from 1996 to 2017.     

Can country trade flows benefit from improved corporate social responsibility ratings?

We set out in this study to examine the effects of country ‘corporate social responsibility’ (CSR) ratings on the international trade flows of 28 countries. Drawing on categorization theory, we examine whether country CSR engagement is a categorizing factor capable of influencing the overall process of categorization. Based upon a two-stage approach, comprising of gravity and panel Tobit models, we find that a country's CSR rating has significantly positive effects on the country's international trade flows. When the CSR rating of a country is higher than that of another rival trading country, this will have significantly positive effects on the bilateral trade flows between the two countries.     

A simple combination of univariate models

This paper describes the approach that we implemented for producing the point forecasts and prediction intervals for our M4-competition submission. The proposed simple combination of univariate models (SCUM) is a median combination of the point forecasts and prediction intervals of four models, namely exponential smoothing, complex exponential smoothing, automatic autoregressive integrated moving average and dynamic optimised theta. Our submission performed very well in the M4-competition, being ranked 6^th for the point forecasts (with a small difference compared to the 2^nd submission) and prediction intervals and 2^nd and 3^rd for the point forecasts of the weekly and quarterly data respectively.     

Real effects of governmental accounting standards: Evidence from GASB statement No. 53 – Accounting and financial reporting for derivative instruments

GASB Statement No. 53, Accounting and Financial Reporting for Derivative Instruments, (GASB 53) significantly altered U.S. governmental sector accounting of derivative instruments by mandating the recognition of hitherto off-balance sheet derivative instruments in the government-wide statement of net assets and requiring that ineffective hedges be clearly identified. These requirements have an unfavorable financial statement impact for municipalities with net negative fair value derivative positions and municipalities holding ineffective hedges. Using a hand-collected, comprehensive dataset of municipal derivatives, we examine whether the level of U.S. municipal derivative holdings changed following the adoption of GASB 53. Consistent with GASB 53 affecting municipal officials’ derivative decisions, we find a significant post-GASB 53 reduction in derivative holdings for municipalities with net negative fair value derivative positions and ineffective hedges. Our findings suggest that governmental accounting regulations could affect real decisions of municipal officials and therefore could potentially have public policy implications beyond the provision of information to stakeholders.     

How does the executive pay gap influence audit fees? The roles of R&D investment and institutional ownership

Using a sample of US firms from 2003–2014, this study examines how the executive pay gap affects audit fees for firms with different levels of R&D investment and institutional ownership. Consistent with managerial power theory, we find that the executive pay gap is positively associated with audit fees, and that the positive association is attenuated by intense R&D investment and higher institutional ownership. We also find that the executive pay gap more strongly affects audit fees after the passage of the 2010 Dodd–Frank Act and the PCAOB's 2012 call to identify the audit risk related to executive incentive compensation. Additional analyses show that the moderating effects of R&D investment and institutional ownership on the pay gap–audit fees association are not conditional on auditor tenure, but the moderating effect of institutional ownership is stronger for firms hiring specialist auditors. Collectively, our findings suggest that auditors consider the business context, such as innovation initiative and external monitoring, when assessing audit risk related to the executive pay gap.     

The M4 Competition: 100,000 time series and 61 forecasting methods

The M4 Competition follows on from the three previous M competitions, the purpose of which was to learn from empirical evidence both how to improve the forecasting accuracy and how such learning could be used to advance the theory and practice of forecasting. The aim of M4 was to replicate and extend the three previous competitions by: (a) significantly increasing the number of series, (b) expanding the number of forecasting methods, and (c) including prediction intervals in the evaluation process as well as point forecasts. This paper covers all aspects of M4 in detail, including its organization and running, the presentation of its results, the top-performing methods overall and by categories, its major findings and their implications, and the computational requirements of the various methods. Finally, it summarizes its main conclusions and states the expectation that its series will become a testing ground for the evaluation of new methods and the improvement of the practice of forecasting, while also suggesting some ways forward for the field.     

Correlation analysis of forecasting methods: The case of the M4 competition

This commentary introduces a correlation analysis of the top-10 ranked forecasting methods that participated in the M4 forecasting competition. The “M” competitions attempt to promote and advance research in the field of forecasting by inviting both industry and academia to submit forecasting algorithms for evaluation over a large corpus of real-world datasets. After performing the initial analysis to derive the errors of each method, we proceed to investigate the pairwise correlations among them in order to understand the extent to which they produce errors in similar ways. Based on our results, we conclude that there is indeed a certain degree of correlation among the top-10 ranked methods, largely due to the fact that many of them consist of a combination of well-known, statistical and machine learning techniques. This fact has a strong impact on the results of the correlation analysis, and therefore leads to similar forecasting error patterns.     

The determinants of companies’ levels of integration: Does one size fit all?

This article extends current knowledge in the field of integrated thinking and reporting (ITR) by providing new empirical evidence on the nature and determinants of companies' levels of integration (i.e. ITR levels). Based on legitimacy theory and stakeholder theory, we empirically investigate companies' levels of integration and examine the drivers of different ITR levels. Our results suggest that companies' levels of ITR, namely Holistic, Integrated, Conservative, and Minimalist, are related to company characteristics and tend to remain consistent over time exhibiting routine and imitation. Companies with greater size, leverage, bigger board size and meetings, as well as companies operating in sensitive industries and with higher environmental performance are more likely to exhibit a Holistic or Integrated level of integration, while Minimalist and Conservative levels are driven by the same variables in opposite direction. Furthermore, at country level, economic growth, market performance, citizens freedom and lower environmental performance significantly contribute to higher integration. These results could drive companies' choices alongside policymakers’ initiatives, by identifying which levers should be pulled to achieve the desired level of integration, and suggest the need for a tailored approach rather than a one size fits all within the debate on the future developments of ITR.     

Paving the way for children: Family firm succession and corporate philanthropy in China

We investigate whether internal succession in family firms motivates founders to engage in corporate philanthropy. We argue that founders who intend to pass control of the firm to their children are likely to prepare for the internal succession by building up family assets such as reputation and political connections through corporate philanthropy. Supporting our argument, we find that both the likelihood and the amount of philanthropic donations increase when listed family firms in China are in the internal succession process. The effect of successions on philanthropic donations is stronger for family firms that have political connections or are located in areas with stronger government influence in the local economy. The effect concentrates on family firms when heirs are young and inexperienced. When heirs are established, family firms actually make fewer philanthropic donations. Our results remain robust after addressing endogeneity issues.