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This research aims to evaluate the accuracy of several Value-at-Risk (VaR) approaches for determining the Minimum Capital Requirement (MCR) for Islamic stock markets during the pandemic health crisis.

This research evaluates the performance of numerous VaR models for computing the MCR for market risk in compliance with the Basel II and Basel II.5 guidelines for ten Islamic indices. Five models were applied—namely the RiskMetrics, Generalized Autoregressive Conditional Heteroskedasticity, denoted (GARCH), fractional integrated GARCH, denoted (FIGARCH), and SPLINE-GARCH approaches—under three innovations (normal (N), Student (St) and skewed-Student (Sk-t) and the extreme value theory (EVT).

The main findings of this empirical study reveal that (1) extreme value theory performs better for most indices during the market crisis and (2) VaR models under a normal distribution provide quite poor performance than models with fat-tailed innovations in terms of risk estimation.

Since the world is now undergoing the third wave of the COVID-19 pandemic, this study will not be able to assess performance of VaR models during the fourth wave of COVID-19.

The results suggest that the Islamic Financial Services Board (IFSB) should enhance market discipline mechanisms, while central banks and national authorities should harmonize their regulatory frameworks in line with Basel/IFSB reform agenda.

Previous studies focused on evaluating market risk models using non-Islamic indexes. However, this research uses the Islamic indexes to analyze the VaR forecasting models. Besides, they tested the accuracy of VaR models based on traditional GARCH models, whereas the authors introduce the Spline GARCH developed by Engle and Rangel (2008). Finally, most studies have focus on the period of 2007–2008 financial crisis, while the authors investigate the issue of market risk quantification for several Islamic market equity during the sanitary crisis of COVID-19.

The purpose of this paper is to originate a proactive approach for the quantification and analysis of liquidity risk for trading portfolios that consist of multiple equity assets.

The paper presents a coherent modeling method whereby the holding periods are adjusted according to the specific needs of each trading portfolio. This adjustment can be attained for the entire portfolio or for any specific asset within the equity trading portfolio. This paper extends previous approaches by explicitly modeling the liquidation of trading portfolios, over the holding period, with the aid of an appropriate scaling of the multiple‐assets' liquidity‐adjusted value‐at‐risk matrix. The key methodological contribution is a different and less conservative liquidity scaling factor than the conventional root‐t multiplier.

The proposed coherent liquidity multiplier is a function of a predetermined liquidity threshold, defined as the maximum position which can be unwound without disturbing market prices during one trading day, and is quite straightforward to put into practice even by very large financial institutions and institutional portfolio managers. Furthermore, it is designed to accommodate all types of trading assets held and its simplicity stems from the fact that it focuses on the time‐volatility dimension of liquidity risk instead of the cost spread (bid‐ask margin) as most researchers have done heretofore.

Using more than six years of daily return data, for the period 2004‐2009, of emerging Gulf Cooperation Council (GCC) stock markets, the paper analyzes different structured and optimum trading portfolios and determine coherent risk exposure and liquidity risk premium under different illiquid and adverse market conditions and under the notion of different correlation factors.

This paper fills a main gap in market and liquidity risk management literatures by putting forward a thorough modeling of liquidity risk under the supposition of illiquid and adverse market settings. The empirical results are interesting in terms of theory as well as practical applications to trading units, asset management service entities and other financial institutions. This coherent modeling technique and empirical tests can aid the GCC financial markets and other emerging economies in devising contemporary internal risk models, particularly in light of the aftermaths of the recent sub‐prime financial crisis.

In itself market research is unremarkable ‐ as were the methods in this particular instance ‐ but the context, i.e. the Birmingham Dental Hospital, was untypical, even by contemporary health standards. Reform of the public sector/NHS and the creation of the “internal market” have created conditions increasingly appropriate to the application of the marketing paradigm. This paper reports one such application and demonstrates the organizational benefits to be derived from marketing research in an unusual health care “provider” setting. Particular benefits included: the ability to conduct informed contract negotiation within the internal market; pursue service design and quality strategies to retain customers and maintain market share; and, the generation of an evidence based agenda to provoke internal change. As such it is an important contribution to understanding the changing nature of NHS culture and thus augments the health, dental and marketing literature(s).

The provision of value, as a marketing issue, is receiving increasing attention from managers and scholars. This attention, in combination with strong calls for better quantification and stronger measures in marketing, has lead to increased interest in the assessment, quantified where possible, of the provision of value through buyer–seller relationships. This paper identifies dimensions of value provision through relationships in business markets with specific emphasis on the intangible aspects of value, which are important to long-term competitive advantage. The provision of value to the seller is the prime focus in this paper. The paper discusses the meaning of both tangible and intangible relationship value and the interplay between them and notes the importance of assessing the intangible part of the value, particularly the part which derives from the human aspects of the relationship. Despite their importance, the human aspects of relationships and their contribution to value is a sparse topic among researchers. The paper compares and evaluates potentially useful relationship and value conceptualizations. The paper discusses studies of relationship value and then outlines the results of a recent line of empirical research into the provision of value by a buyer to a seller that utilizes a framework synthesized from the intellectual capital literature. This recent research conceptualizes the potential for a seller's relationship with a buyer to provide intangible value to the seller in terms of, first, the resources available in the buyer and second, the capabilities of the buyer's boundary personnel to aid in facilitating the flow of those resources to the seller. The paper also includes the softer human aspects in the dimensions of value. These latter aspects are important to a full assessment of value. The paper concludes with a discussion of aspects of intangible relationship value that need further elucidation and will thus provide opportunities for future research.

The purpose of this paper is to provide a theoretically rigorous and practically relevant summary of research findings that enables managers to drive sustainable profits improvements via pricing. It showcases multiple case studies that demonstrate how companies can achieve higher-than-average profitability by implementing intelligent pricing strategies and tactics.

Over the past 20 years, this writer has conducted dozens of academic surveys with managers exploring the antecedents, moderators and consequences of pricing practices for existing and new products. The writer has analyzed all pricing research published in leading academic journals over the past decades. Finally, as equity partner of Hinterhuber & Partners, a pricing consultancy (www.hinterhuber.com), this writer – through collaborations with companies and workshops conducted with practicing managers – has collected data and insights on best practices in managing pricing as a strategic activity.

Pricing is the most powerful driver of superior profits, yet managers view pricing as relevant only in the context of innovation. This narrow view prevents companies from realizing their full potential. Best practice examples of pricing as well as rigorous academic research suggest that pricing based on solid scientific principles helps average companies to achieve above-average results. This paper presents a review of recent research and summarizes the fundamental principles that managers must master so that pricing becomes an enabler of lasting superior performance.

Academic research in pricing surpasses managerial practice. Managers often rely on outdated concepts when it comes to pricing strategy and tactics.

The paper presents a framework that allows managers to implement pricing strategies that improve performance.

Effective pricing strategies benefit companies, customers and other stakeholders.

The paper provides a comprehensive overview of the latest research on pricing and thus documents that pricing based on solid, scientific principles is an enable of lasting, above-average profitability.

India began gas imports since 2004 through liquified natural gas (LNG) route. Imports through trans‐country gas pipelines could help in bringing gas directly into the densely populated Northern part of India, which are far from domestic gas resources as well as coastal LNG terminals. The purpose of this paper is to report scenarios, which quantify the impacts for India of regional cooperation to materialize trans‐country pipelines. The analysis covers time period from 2005 to 2030.

The long‐term energy system model ANSWER‐MARKAL is used for the analysis.

Trans‐country pipelines could deliver direct economic benefit of US$310 billion for the period 2010‐2030. Besides these, there are positive externalities in terms of lower greenhouse gas emissions and improved local environment, and enhanced energy security. However, the benefits are sensitive to global gas prices as higher gas prices would reduce the demand for gas and also the positive externalities from using gas.

Trans‐country pipelines are of great importance to India as they add 0.4 per cent to gross domestic product over the period besides yielding positive environmental externalities and improved energy security.

Quantification of benefits from trans‐country pipeline proposals till 2030.

Established corporate brand research has two significant weaknesses. The first is the lack of empirically based research behind the theory. The second is the “over‐quantification” of research methods to deal with marketing topics concerning consumers” beliefs, perceptions and values. Additionally, high‐tech corporate brands are rarely the basis of brand research. This study explores consumer reactions to technical brands to draw inferences and build more effective brand strategies. The mobile phone market is selected to represent a high‐tech consumer market. In‐depth interviews guided by the principal of personal construct theory and using the laddering technique (Kelly, G.A., The Psychology of Personal Constructs, Norton, New York, NY, 1955) are used. Two polar groups of consumers are selected as respondents. The findings reveal three shared key dimensions of brand value that are relevant in this type of market. The nature and relative importance of these dimensions are outlined. The evidence indicates that perceptions of corporate “credibility” are based on emotional and experiential associations rather than on more obvious, rational ones.

This paper tests the accuracies of the models that predict the Value-at-Risk (VaR) for the Market Integrated Latin America (MILA) and Association of Southeast Asian Nations (ASEAN) emerging stock markets during crisis periods.

Many VaR estimation models have been presented in the literature. In this paper, the VaR is estimated using the Generalized Autoregressive Conditional Heteroskedasticity, EGARCH and GJR-GARCH models under normal, skewed-normal, Student-t and skewed-Student-t distributional assumptions and compared with the predictive performance of the Conditional Autoregressive Value-at-Risk (CaViaR) considering the four alternative specifications proposed by Engle and Manganelli (2004).

The results support the robustness of the CaViaR model in out-sample VaR forecasting for the MILA and ASEAN-5 emerging stock markets in crisis periods. This evidence is based on the results of the backtesting approach that analyzed the predictive performance of the models according to their accuracy.

An important issue in market risk is the inaccurate estimation of risk since different VaR models lead to different risk measures, which means that there is not yet an accepted method for all situations and markets. In particular, quantifying and forecasting the risk for the MILA and ASEAN-5 stock markets is crucial for evaluating global market risk since the MILA is the biggest stock exchange in Latin America and the ASEAN region accounted for 11% of the total global foreign direct investment inflows in 2014. Furthermore, according to the Asian Development Bank, this region is projected to average 7% annual growth by 2025.

Using market-risk disclosures as an empirical context, and drawing on the diffusion of innovations (DOIs) model, this paper contributes new sociological perspectives to a theorization of compliance. We propose that stakeholder behaviors during accounting standard-setting discussion and adoption phases are motivated by social, political, and economic factors. These phases interrelate, and consequently, any analysis of managerial disclosure decisions benefit from considering them together, rather than in isolation, as is typical.

The authors use a mixed-methods design, including detailed analysis of semi-structured interviews (n = 26), constituents’ comment letters (n = 106), annual report disclosures (FTSE 350: firm-year observations n = 1,131), technical meetings, and standard-setting documents.

Results suggest that constituents initially supported introduction of a set of mandatory market-risk disclosures, but implied costs of the proposed and subsequently approved requirements outweighed perceived benefits and efficiencies. This study elaborates on these issues, exploring how and why a financial reporting innovation that stakeholders deemed technically inefficient was diffused. Although the authors were told that compulsion (i.e., forced-selection) dominates disclosure decisions, some freedom of choice remains, as evidenced by greater than 40% non-compliance during the first year of adoption. Respondents indicate that theoretically, market-risk disclosure adoption decisions rest on assessment of the costs of disclosure (e.g., preparation and competition) versus non-disclosure (e.g., litigation and reputation). Second-phase adoption is more straightforward because the costs of disclosure decrease over time.

Although mixed-methods research offers several advantages, self-selection bias, issues with coding reliability, and interviewer/interviewee bias are possible. It is impossible to achieve a truly holistic understanding of standard-setting, and therefore the authors acknowledge that findings are not generalizable, though the risks were minimized.

Recognizing that disclosure choices are not made in political and social vacuums, this study suggests that sociological perspectives such as innovation-diffusion inform a theory of compliance.