Towards a conceptual model of whistle-blowing intentions among external auditors

Whistle-blowing has received considerable attention in the ethics literature. However, following the collapse of Arthur Andersen in the Enron debacle, whistle-blowing within audit firms has taken on greater importance. Given the profession's requirements to be confidential, independent and to act in the public interest (e.g. Sarbanes–Oxley Act, 2002), there is a need for a model that is specific to the audit profession (e.g. Louwers, Ponemon, & Radtke, 1997), and in particular, that addresses auditors' whistle-blowing intentions. This paper presents a conceptual model on whistle-blowing intentions among external auditors where an auditor's individual factors (attitudes toward whistle-blowing, perceived behavioural control, independence commitment, personal responsibility for reporting and personal cost of reporting) have a direct influence on his or her intentions to whistle-blow, but are moderated by isomorphic factors (perceived organisational support and team norms) and issue-specific factors (perceived moral intensity). Using justice and institutional theories, the proposed model anticipates that whistle-blowing within an audit firm produces both positive and negative consequences to society, the audit firm and the individual whistle-blower. However, where audit firms have adequate formal supporting mechanisms for reporting wrongdoings to internal and external parties, the negative effects and personal costs of reporting will be minimised.     

Repeated measures and longitudinal data analysis using higher‐order entropies

This paper implements the generalized maximum entropy (GME) method in longitudinal data setup to investigate the regression para meters and correlation among the repeated measurements. We derive the GME system using Shannon classical entropy as well as some higher‐order entropies assuming an autoregressive correlation structure. This method is illustrated using two simulated examples to study the effect of changing the support range and compare the performance of the GME approach with the classical estimation methods.     

On the accuracy of Blue Chip forecasts of interest rates and country risk premiums

We examine the accuracy of Blue Chip forecasts of short- and long-term interest rates and country risk premiums for the Eurozone and six other industrial countries for 1999–2008. In so doing, we utilize comparable random walk forecasts as benchmarks. Consistent with the efficient market hypothesis, the long-term interest rate forecasts fail to outperform the random walk. Our findings on the accuracy of short-term interest rate forecasts are, however, mixed. Further results reveal that Blue Chip is more (less) accurate in predicting country risk premiums associated with short-term (long-term) interest rates. Such evidence is reasonable since the short-term country risk premiums contain only the perceived default risk, while the long-term risk premiums, in addition, can contain the perceived inflation and exchange rate differentials.     

A fuzzy-based roadmapping model for enhancing high-tech small firms’ technological entrepreneurship capabilities: cases of Iran

ABSTRACT

Technology-based firms need to survive via technological changes. Technological entrepreneurship is concentrated on identifying and exploiting the tech-opportunities for creating product innovation. This paper introduces a fuzzy-based tool to promote innovation throughout firms in order to enhance technological entrepreneurship capabilities (TEC). The effort involves identifying components of TEC to develop the inference system, specifying the fuzzy relationship among these components, assessing the TEC in firms, and designing a TEC roadmap after a fuzzy-based gap analysis. Designed roadmaps introduce technological change priorities as a growth path to firms to move up along the ladder of competitiveness. Based on the results, a method for categorizing firms into four distinct levels that involve passive, reactive, proactive and innovative is introduced. Hence, firms have an action plan to enhance TEC from passive to innovative level in a time-based transition pathway.     

Empirics of currency crises: A duration analysis approach

This paper empirically analyzes the origins of currency crises for a group of OECD economies from 1970 through 1998. We apply duration analysis to examine how the probability of a currency crisis depends on the length of non‐crisis periods, contagion channels, and macroeconomic fundamentals. Our findings confirm the negative duration dependence of a currency crisis—the likelihood of speculative attack sharply increases at the beginning of non‐crisis periods and then declines over time until it abruptly rises again. The results also indicate the hazard of a crisis increase with high values of the volatility of unemployment rates, inflation rates, contagion factors—which mostly work through trade channels, unemployment rates, real effective exchange rate, trade openness, and size of economy. To address concerns regarding validity of the identified crisis episodes, we exploit crisis episodes that are identified by a more objective approach based on the extreme value theory. Our results are robust under various specifications including two different crisis event sets that are identified on monthly and quarterly basis.     

How does the flow of remittances affect the trade balance of the Middle East and North Africa?

ABSTRACT

The Middle Eastern and North African (MENA) economies have one of the highest degrees of dependency on received remittances worldwide. In this study, we have examined the role of remittances in the trade balance of 11 labour abundant MENA countries. Our panel regression analysis showed that the inflow of remittances has fostered the trade deficit. We also found that the final effect of remittances depends on the level of domestic capital formation. The results are robust after controlling for other drivers of trade deficit such as income, inflation, exchange rate and institutions as well as country and year fixed effects.     

Hedging performance of multiscale hedge ratios

In this study, the wavelet multiscale model is applied to selected assets to hedge time-dependent exposure of an agent with a preference for a certain hedging horizon. Based on the in-sample and out-of-sample portfolio variances, the wavelet-based generalized autoregressive conditional heteroskedasticity (GARCH) model produces the lowest variances. From a utility standpoint, wavelet networks combined with GARCH have the highest utility. Finally, the wavelet-GARCH model has the lowest minimum capital risk requirements. Overall, the wavelet GARCH and wavelet networks offer improvements over traditional hedging models.