Evidence on the efficacy of interest-rate risk disclosures by commercial banks

This paper documents evidence on the efficacy of maturity-gap disclosures of commercial banks in indicating their net interest income that is exposed to interest-rate risk. For the large sample of banks that filed call reports from 1990 to 1997, a period that includes a wide range of interest rate movements, we find that (i) one-year maturity gap measures are significantly related to the one-year- and three-years-ahead change in net interest income, (ii) fixed-rate and variable-rate instruments differ in explanatory ability, and (iii) the one-to-five-year aggregate gap measures also have some power in explaining three-year-ahead changes in net interest income. These findings hold after controlling for the ex post growth in assets as well as the amount of rate-sensitive assets and liabilities (a competing set of explanatory variables). Because the Securities and Exchange Commission (SEC)'s [Securities and Exchange Commission (SEC), (1997). Disclosure of accounting policies for derivative financial instruments and derivative commodity instruments and disclosure of qualitative and quantitative information about market risk inherent in derivative financial instruments, other financial instruments, and derivative commodity instruments. Release Nos. 33-7386; 3438223; IC-22487; FR-48; International Series No. 1047; File No. S7-35-95 (January 31, 1997), Washington, DC] tabular disclosures are finer than maturity-gap data, our findings mitigate concerns about the usefulness of the SEC's market-risk-disclosure requirements. Furthermore, they suggest contrary to the claims of certain banks that the omission of prepayment and early withdrawal risk from gap measures does not totally compromise the ability of gap data to indicate interest-risk exposures.     

Managers’ segment disclosure choices under IFRS 8: EU evidence

We examine the impact of proprietary and agency cost motives on segment disclosure quality and quantity and how the adoption of the principle IFRS 8 affects this impact. By using hand-collected data, our results show that proprietary and agency costs play a relevant role in determining the quality and quantity of segment disclosure. We find that proprietary costs are a particularly relevant reason for providing lower segment disclosure quality post-IFRS 8. Our results also suggest that firms’ segment disclosure choice is dependent on disclosure dimension. These results contribute to the ongoing debate regarding IFRS 8 and have valuable implications for accounting regulators.     

Splitting Accountability Hairs: Anomalies in the Adaptation of IFRS for SMEs in the UK and Ireland

Abstract

Recent years have witnessed a significant shift in the financial reporting frameworks available in the UK and Ireland affecting entities of all sizes with the Financial Reporting Council issuing three financial reporting standards replacing the extant UK GAAP. This paper reports the results of a content analysis of 151 comment letters sent to the standard-setter in response to its policy proposal. The paper explains why the standard-setter stepped back from its controversial proposal to enforce IFRS for SMEs based on the absence of public accountability. Additionally, the standard-setter addressed all concerns positively apart from two, representing two anomalies. First, despite being opposed by the majority of the respondents, the standard-setter published a new framework for wholly-owned subsidiaries of listed companies allowing them to make substantially less disclosure. Second, the standard-setter is yet to respond to the call by the accounting profession and the Not-for-profit sector to publish a sector-specific framework.     

Critical success factors determining performance of cross‐border acquisition: Evidence from the African telecom market

This study investigates the factors affecting Bharti Airtel's cross‐border postacquisition performance in an African market. This study describes the relationships among various factors such as technical capability, affiliated firm's absorptive capacity, and organizational learning capabilities, which determine the successful operations of the Zain acquisition deal in South Africa. This paper adopts a qualitative approach to identify factors that influence the postacquisition performance. Seven factors are identified based on the literature. Consequently, it has become a necessity to encapsulate these factors in suitable proportions. In this study, we have developed a total interpretive structural modeling (TISM) to analyze the postacquisition performance of Bharti Airtel in South Africa. Our research has highlighted six dynamic factors (organizational learning capability, knowledge management, technology capability, technology relatedness, acquirer's absorptive capacity, and national culture difference) that affect the firm's postacquisition performance. The interpretive structural model (ISM) and total interpretive structural model for postacquisition performance are built‐up. The developed TISM will support academics and practitioners to develop their understanding of acquisition performance of parent companies in the context of telecom business in the South African market.     

The effects of regional trade integration and renewable energy transition on environmental quality: Evidence from South Asian neighbors

Improving environmental quality across South Asia has become one of the utmost important policy agendas of the concerned governments. The susceptibility of the majority of the South Asian countries to multifaceted climate change adversities has motivated the need to identify the factors that can function to ensure environmental sustainability across South Asia. Although several studies have highlighted the importance of globalization and cleaner energy use in tackling the environmental degradaton issues of the South Asian countries, very little is known regarding the impacts of regional trade and renewable energy transition in this regard. Hence, this paper aims to scrutinize the effects of enhancing intra-regional trade integration and undergoing renewable energy transition on per capita carbon dioxide emissions in the context of six South Asian nations between 1990 and 2016. The results from the recently developed cross-sectionally augmented autoregressive distributed lag regression approach, accounting for cross-sectional dependency and slope heterogeneity issues, reveal that facilitating trade among the South Asian neighbors reduces carbon emissions in both the short and long run. Moreover, enhancing the share of renewable energy in the aggregate energy consumption figures is also found to reduce carbon dioxide emissions in both the short and long run. Furthermore, both regional trade integration and renewable energy transition are found to jointly reduce carbon dioxide emissions in South Asia. The results also authenticate the existence of the environmental Kuznets curve hypothesis, while financial development and urbanization are found to boost carbon dioxide emissions only in the long run.     

A fuzzy goal programming approach to analyse sustainable development goals of India

Energy policy, environmental planning and economic development play a key role in sustainable development. Sustainable development requires suitable and strategic policies satisfying multiple and conflicting objectives. Fuzzy goal programming (FGP) is a well-known approach in multi-criteria decision-making for its practical application. In this article, a FGP approach is proposed to analyse environmental, energy and sustainability goals of India by the year 2030 with reference to the key economic sectors of India. The presented model analyses the improvement opportunities, requirement of efforts and implementation of the sustainable development plans. Numerical illustration is also provided for validation and application of the proposed model.     

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High-Dimension Regime

In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high-dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real-data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.     

Towards an integrated model for the transference of environmental responsibility

This research explores how environmental responsibility transfers to others. Although environmental responsibility is one of the most debated topics in environmental management literature, a framework describing how a teacher's environmental responsibility shapes the student's environmental responsibility is still lacking. Adopting emotional contagion theory as a lens, the paper addresses this issue via the mediation of emotional contagion and the moderation of a teacher's environmental concern. Based on a survey of teachers and students (N = 283) conducted in Pakistan, our findings provide evidence that a teacher's environmental responsibility can better transfer to students via emotional contagion. Additionally, our data establish that the transference of environmental responsibility from teachers to students via emotional contagion is more effective when the teacher has a high level of environmental concern than when he or she has a low level of environmental concern. Finally, the authors discuss the implications for policy in detail.     

Kernel method to estimate nonlinear structural equation models

Quality & Quantity - The purpose of this paper is to provide a nonparametric kernel method to estimate nonlinear structural equation models involving the functional effects between the latent...     

Quality of life and its predictors among Pakistani head of household in district Abbottabad,Pakistan

Quality & Quantity - This study aimed to measure the quality of life (QOL) and its predictors among male and female heads of household in Pakistan. A population-based cross-sectional study in...