Managers’ use of language in corrupt firms’ financial disclosures: Evidence from FCPA violators

This paper explores management’s use of language in financial disclosures of corrupt firms by looking at a sample of firms that have been prosecuted for violating the Foreign Corrupt Practices Act (FCPA). We find that the management of FCPA violators use more negative, less litigious, more complex and less conservative language when disclosing financials than non‐violators. The language effect prior to an FCPA prosecution is driven by firms with low corporate governance performance. By contrast, firms with high corporate governance use less complex and more conservative language before an FCPA prosecution than firms with low corporate governance performance. Furthermore, we find that after an FCPA prosecution the language becomes less litigious and complex than before the FCPA litigation.     

Quality investing in Asian stock markets

We examine two quality investing strategies using gross profitability (GP) or FSCORE, respectively, over the period of 2000–2016 in Hong Kong, Japan, Korea, Singapore and Taiwan stock markets. We find that the high-quality stocks generally earn positive returns in these markets. Both FSCORE and GP are significantly positively associated with subsequent stock returns in the cross-sectional regressions. We also find that financial institutions as sophisticated investor concern about stock quality. The actively managed institutions buy significantly more high-quality stocks than low-quality stocks in each of five Asian markets. The trading pattern is not significant in passively managed institutions.     

Perceptions of HR practices,person–organisation fit,and affective commitment: The moderating role of career stage

In a three‐wave survey study among 487 Dutch university employees, we examined how and when employees' perceptions of high‐performance work practices (HPWP) affect employee affective commitment. We proposed that perceived person–organisation (PO) fit mediates this relationship and that the relationships among perceptions of HPWP, perceived PO fit, and affective commitment differ across career stages. Our results confirm that perceptions of HPWP enhance PO fit perceptions and, in turn, strengthen affective commitment. Moreover, the relationship between perceptions of HPWP and perceived PO fit is only significant among employees in the advancement stage of their careers; however, direct comparison across different career stages reveals no significant differences in the HPWP–PO fit relationship. Furthermore, career stage partly moderates the relationship between PO fit and affective commitment, which is only significant among employees in the maintenance career stage. These findings have important implications for the literature on strategic Human Resource Management and PO fit.     

How Does Sustainable Development of Supply Chains Make Firms Lean,Green and Profitable? A Resource Orchestration Perspective

This paper theorizes and tests the effects of sustainable development of supply chains on cost‐reduction (lean), environmental (green) and financial (profitable) performance. Based on the resource orchestration theory, we argue that internal, supplier and customer sustainable development each orchestrate different types of resource and therefore their effects vary. Structural equation modeling of data from a survey of 203 Thai manufacturers was used to test a new theoretical model. Results confirm that financial performance was achieved through cost reduction created by customer sustainable development supported by internal and supplier sustainable development. On the other hand, better environmental performance created by internal sustainable development generated no financial gains. However, internal, supplier and customer sustainable development positively affected each other, and by acting together they made firms lean, green and profitable. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Blockchain as the Database Engine in the Accounting System

This paper examines the prediction that blockchain technology will transform accounting and the profession because transactions recorded on a blockchain can be aggregated into financial statements and confirmed as true and accurate. We argue that blockchain technology affects the database engine of the accounting information system (AIS) through digitisation of the current paper‐based validation process. In a blockchain‐based AIS, accountants will no longer be the central authority but will remain the preparer of financial reports required by regulations; they will continue to influence policies such as the choice and accreditation of validators and serve as validators of last resort. Audit evidence still needs to be gathered for rendering of an audit opinion in a blockchain‐based AIS. While digitisation of the validation process reduces the error rate and lowers the cost of vouching and tracing, and immutability of blockchain data reduces the incentive and opportunities for fraud, a blockchain‐based AIS alone does not guarantee that financial reports are true and fair. Lower error rates and reduced incentives for accounting fraud in a blockchain‐based AIS are expected to improve audit quality. This prediction will need to be empirically tested when blockchain‐based AIS become available. Using the three‐tier architecture of the AIS, this paper addresses the gap in the literature that misses how characteristics of blockchain technology can influence the implementation of a blockchain‐based AIS with related implications for the accounting profession.     

Information flows and stock market volatility

This study examines how news is distributed across stocks. A model is developed that categorizes a stock's latent news into normal and nonnormal news, and allows both types of news to be filtered through to other stocks. This is achieved by formulating a model that jointly incorporates a multivariate lognormal‐Poisson jump process (for nonnormal news) and a multivariate GARCH process (for normal news), in addition to a news (or shock) transmission mechanism that allows the shocks from both processes to impact intertemporally on all stocks in the system. The relationship between news and the expected volatility surface is explored and a unique news impact surface is derived that depends on time, news magnitude, and news type. We find that the effect of nonnormal news on volatility expectations typically builds up before dissipating, with the news transmission mechanism effectively crowding‐out normal news and crowding‐in nonnormal news. Moreover, in contrast to the standard approach for measuring leverage effects using asymmetric generalized autoregressive conditional heteroskedasticity models, we find that leverage effects stem predominantly from nonnormal news. Finally, we find that the capacity to identify positively or negatively correlated stock returns is ambiguous in the short term, and depends heavily on the behavior of the nonnormal news component.     

Globalisation,Institutional Reforms and Financial Development in East Asian Economies

This study investigates the dynamic effects of globalisation on institutions and financial development in East Asian economies using panel data tests. Our empirical results demonstrate that globalisation has a significant influence on institutional quality, and that institutional reforms in turn facilitate and support financial development, in particular the development of the banking sector in East Asia. Globalisation is also found to have a favourable direct impact on stock market development without passing through an institutional quality channel.     

Predicting economic contractions and expansions with the aid of professional forecasts

Traditional econometric models of economic contractions typically perform poorly in forecasting exercises. This criticism is also frequently levelled at professional forecast probabilities of contractions. This paper addresses the problem of incorporating the entire distribution of professional forecasts into an econometric model for forecasting contractions and expansions. A new augmented probit approach is proposed, involving the transformation of the distribution of professional forecasts into a ‘professional forecast’ prior for the economic data underlying the probit model. Since the object of interest is the relationship between the distribution of professional forecasts and the probit model’s economic-data dependent parameters, the solution avoids criticisms levelled at the accuracy of professional forecast based point estimates of contractions. An application to US real GDP data shows that the model yields significant forecast improvements relative to alternative approaches.