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The demand for Saudi Arabian real (SAR) is very high in the pilgrimage (hajj) season while the authority, unfortunately, does not hedge the hajj funds. As such, the hajj funds are potentially exposed to exchange rate risk, which can impact the value of hajj funds and generate extra cost to the pilgrims. The purpose of this paper is to conduct simulations of Islamic hedging for pilgrimage funds to: mitigate and minimize exchange rate risk, identify and recommend the ideal time, amount and tenors of Islamic hedging for hajj funds, estimate cost saving by pursuing Islamic hedging and propose technical and general recommendations for the authority.

Forward transaction mechanism is adopted to compute Islamic forward between SAR and Rupiah (Indonesian currency) or IDR. Findings – based on simulations, the paper finds that: the longer the Islamic hedging tenors, the better is the result of Islamic hedging, the decreasing of IDR/USD is the right time to hedge the hajj funds and, on the other hand, the IDR/SAR appreciation is not the right time to hedge the hajj funds.

Based on simulations, the paper finds that: the longer the Islamic hedging tenors, the better is the result of Islamic hedging, the decreasing of IDR/USD is the right time to hedge the hajj funds and, on the other hand, the IDR/SAR appreciation is not the right time to hedge the hajj funds.

The research suggests the authority to (and not to) hedge the hajj fund, depending on economic conditions and market indicators. Even though the assessment is for the Indonesian case, other countries maintaining hajj funds might also learn from this paper.

To the best of author’s knowledge, this is the first paper in Indonesia that attempts to simulate the optimal hedging of hajj funds.

The purpose of this paper is to develop a better understanding of the debt structuring of project finance (PF) loans and the main drivers affecting the maturity of bank loans in infrastructure deals. When banks grant loans to a project, they have two decision variables: the interest margin or the spread and the maturity of the loan. Although several studies analyze the drivers of the spread, few studies in the literature look at the maturity of bank loans. As infrastructure projects are typically highly leveraged, the structuring of bank lending is an important parameter in the financial viability of the project.

The paper develops a regression analysis of the loan’s maturity on four categories: characteristics of the project, political risk of the country where the project is executed, the macro-economic setting and the regulatory framework. By using a new data set of InfraDeals containing data on bank loans of more than 1,800 infrastructure projects worldwide from 1997 to 2016, this paper reveals new insights on the debt structuring of banks for PF loans.

The results indicate that the maturity of bank loans granted to infrastructure deals is predominantly driven by political risk and regulation, rather than the structuring of the project. This implicates that the region where the deal is closed weighs more heavily than the specificities of the project itself.

The results have important policy implications. The paper allows to develop a better understanding on how political risk and new regulation, like Basel III, might affect the PF market. The paper is the first one finding empirical evidence of the impact of Basel III regulation on PF lending. By delving deeper into the political risk variable, the authors formulate several recommendations to mitigate political risk.

This chapter shows how to identify the characteristics of borrowers that are part of a credit scoring model. The credit risk scoring model is an important tool for evaluating credit risk associated with customer characteristics that affect defaults. This research was conducted at a financial institution, a subsidiary of a commercial bank in Indonesia, to answer the challenge of determining the feasibility of providing financing quickly and accurately. This model uses a logistic regression method based on customer data with indicators of demographic characteristics, assets, occupations, and financing payments. This study identifies nine variables that meet the goodness of fit criteria, which consist of WOE, IV, and p-value. The nine variables can be used as predictors of default probability: type of work, work experience, net finance value, tenor, car brand, asset price, percentage of down payment (DP), interest, and income. The results of the study form a risk assessment model to identify variables that have a significant effect on the probability of default.

Industry platforms can alter relations among exchange partners in such a way that the industry structure is changed. The focus of much industry platform research has been on how platform creation and leadership offers advantages to the most central firms, but platforms can also be advantageous for small specialist firms that compete with the most central firms. We examine book publishing as an example of an industry in which the central players – large publishing firms – are losing power to self-publishing authors because the distributor Amazon has a powerful platform for customers to communicate independently, and the non-publishing platform Twitter also serves as a medium for readers to discuss and review books. Our empirical analysis is based on downloaded sales statistics for Amazon Ebooks, matched with Amazon reviews of the same books and tweets that refer to the book or the author. We analyze how Ebook sales are a function of publisher, Amazon reviews, and tweets, and we are able to assess the importance of each factor in the sale of book titles. The main finding is that Amazon reviews are powerful drivers of book sales, and have greater effect on the sales of books that are not backed by publishers. Twitter also affects book sales, but less strongly than Amazon reviews.

This study aims to identify the factors that influence the willingness of Bangladeshi retail investors to invest in ṣukūk.

The authors surveyed Bangladeshi retail investors using a structured questionnaire to understand their perspectives on potential investment in ṣukūk. The authors considered the behavioral aspects of retail investors and the desired ṣukūk features to analyze the demand side. Factors and regression analyses were performed to identify the persuading factors.

The results indicate that investor awareness is a fundamental factor in potential investments in ṣukūk. Investors perceive the security represented by government and third-party guarantees as a persuasive feature of ṣukūk. The tradability and tenor of ṣukūk also affect the investment intention. Sharīʿah consciousness of the investors also plays a significant role in their investment decisions.

One limitation of this study is that it incorporates potential individual investors only, and precludes institutional investors. In the future, there is scope for research to explore the demand factors impacting institutional investors of ṣukūk in Bangladesh.

The authors expect that the study will aid policymakers and ṣukūk issuers in crafting strategies to cater to the needs of Bangladeshi retail investors.

This study is the earliest research conducted in Bangladesh to determine the factors impacting the willingness of individual investors to make their potential investments in ṣukūk. To the best of the authors' knowledge, no study has analyzed the desired ṣukūk features from the perspective of Bangladeshi retail investors.

This paper aims to report practice-relevant anomalous investment yield behavior of two types of bonds – Type A, the mainstream bond, and Type B, which is Sukuk – both having similar cash-flow-relevant characteristics.

Bond valuation theory suggests that yields to investors of similarly rated bonds ought to be same. The authors collected time-series data on A and B bonds, all being coupon-paying bonds with similar rating and similar tenor as two matched samples traded in a bond exchange. To ensure the results are extended to different bond sectors, the data set was separated into treasury bonds as risk-free and corporate bonds as risky ones. The data set was further sub-divided into short-, medium- and long-tenor bonds. As the data straddle the Global Financial Crisis period, the authors use appropriate econometric method to control the possible effect from the crisis.

The average and median yields on Type A bond are significantly different from those of Type B. The test results show significant and systematic differences: treasury bonds of Type A returns yield lower than treasury bonds of Type B; the yields of corporate mainstream bonds (A) are higher than the yields of Sukuk (B). The authors observe these findings constitute a puzzle, being anomalous to theory.

This paper is original in that it is documenting significant differences in pricing of equivalent bonds. This has both theory and practice implications for fixed-income security market practices. The evidence is very strong to suggest that the identical types of bonds may have missing variable that contributes to the difference. Therefore, further research to identify the missing variable is necessary.

The purpose of this paper is to describe a methodology that enables the generation of valid and reliable inferences on what and how intellectual capital (IC) information is communicated by sell‐side analysts in their research reports.

The method described in this paper involves content‐analysing initiating coverage analyst reports using a four‐dimensional IC coding framework and a detailed coding instrument, which is founded in the literature and indigenous to analyst reports. The paper explicates methodological decisions associated with content analysis: selecting the appropriate sampling unit; recording unit and measurement unit; developing the categorisation scheme and coding instrument; the need for test coding; the approach to data collection; and assessment of reliability and validity.

The methodology described is applied to a sample of analyst reports to illustrate inferences that can be drawn on what and how IC information is communicated in analyst reports.

Various practical issues arising in the application of content analysis method are discussed and a methodology for investigating IC communications by sell‐side analysts is described in this paper. This knowledge can be useful to future researchers conducting content‐analytic studies involving analyst reports in general, and IC communications in analyst reports in particular.

This paper extends the methodology developed previously to examine IC information in analyst reports. Although inspired and heavily influenced by these works, the methodology presented in this paper differs from theirs on several fronts. The paper introduces an alternative methodological paradigm to the study of analyst reports by emphasising them as a communication medium through which sell‐side analysts may pursue an agenda of their own. This is contrasted with the view held by several prior researchers that analyst reports just provide a record of analysts' thought processes.

This paper aims to describe a robust empirical approach to generating plausible historically based interest rate shocks, which can be applied to any market environment. These interest rate shocks can be readily linked to movements in other key risk factors, and used to measure market risk on institutions with large fixed-income portfolios.

Using yield curve factorization, we parameterize a time series of historical yield curves and measure interest rate shocks as the historical change in each of the model’s factors. We then demonstrate how to add these parameterized shocks to any market environment, while retaining positive rates and plausible credit spreads. Given a set of shocked interest rate curves, joint risk factor movements are calculated based upon historical, reduced form dependencies.

Our approach is based upon yield curve parameterization and requires a parsimonious yet flexible factorization model. In the process of selecting a model, we evaluate three variants of the Nelson–Siegel approach to yield curve approximation and find that, in the current low interest rate environment, a 5-factor parameterization developed by Björk and Christensen (1999) is best suited for accurately translating historical interest rate movements into plausible, current period shocks.

An accurate measure of market risk can help to inform institutions about the amount of capital needed to withstand a series of adverse market events. A plausible set of shocks is required to ensure market value, and cash flow projections are indicative of meaningful market sensitivities.

This chapter provides a review of the Chinese government policies that promote the internationalization of the Chinese currency, the renminbi or RMB, which include the RMB swap arrangements between the central banks, trading of the RMB across different markets, and establishment of the dim sum bond market. In particular, we update the development of the dim sum bond market in terms of the size, amount of the issues, coupon and tenor characteristics, issuers, and investment bankers of dim sum bond issues. The dim sum bond market appears to be a promising global asset class for investors.

This exploratory study aims to investigate the use of Facebook as a dialogic accounting tool for promoting citizen engagement in Italian regions.

This study adopts a mixed methodology. Indeed, it first collects some quantitative data to construct an engagement index for the Facebook pages of the Italian regions, and then it performs a content analysis of some posts while also examining the tenor of the related comments and the level of interaction between regions and citizens.

The Italian regions have mainly used their Facebook pages for public communication purposes rather than for public participation. Therefore, they have conceived social pages more as an instrument of self-legitimisation and thus monologic accounting and have rarely considered them as a tool for engaging citizens who, in turn, showed low interest in participating in online debates. Nature and environment, tourism promotion and sport were the most engaging content types. Findings also confirm that posting many messages does not automatically increase engagement.

This study is one of the first to investigate the potential of social media from a dialogic accounting perspective, especially in the public sector. Additionally, it focuses on regions which are understudied in the literature, although they are critical actors in implementing public policies. Last but not least, this study offers a framework that integrates the literature on the use of social media for citizen engagement and research on such platforms as dialogic accounting tools.