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Using a GED-GARCH model to estimate monthly data from January 1990 to February 2022, we test whether gold acts as a hedge or safe haven asset in 10 countries. With a downturn of the stock market, gold can be viewed as a hedge and safe haven asset in the G7 countries. In the case of inflation, gold acts as a hedge and safe haven asset in the United States, United Kingdom, Canada, China, and Indonesia. For currency depreciation, oil price shock, economic policy uncertainty, and US volatility spillover, evidence finds that gold acts as a hedge and safe haven for all countries.

This study explores the association between individual investor information demand and two measures of market uncertainty – aggregate market uncertainty and disaggregate industry-specific market uncertainty. It extends the literature by being the first to empirically examine investor information demand and disaggregate market uncertainty.

This paper constructs a measure of information search by using the Google Search Volume Index and computes measures of aggregate and disaggregate market uncertainty using institutional investors' trading data from Ancerno Ltd. The relation between market uncertainty, as measured by trading disagreements among institutional investors, and information search is analyzed using an OLS (Ordinary Least Squares) regression model.

This paper finds that individual investor information demand is significantly and positively correlated with aggregate market uncertainty but not associated with disaggregated industry uncertainty. The findings suggest that individual investors may not fully incorporate all relevant uncertainty information and that ambiguity-related market pricing anomalies may be more associated with disaggregate market uncertainty.

This study presents an examination of aggregate and disaggregate measures of market uncertainty and individual investor demand for information, shedding light on the efficiency of the market in incorporating information. A limitation of our study is that our data for market uncertainty is based on investor trading disagreement from Ancerno, Ltd. which is only available till 2011. However, we believe the implications are generalizable to the current time period.

This study provides the first concurrent empirical assessment of investor information search and aggregate and disaggregate market uncertainty. Prior research has separately examined information demand in these two types of market uncertainty. Thus, this study provides information to investors regarding the importance of assessing disaggregate component measures of the market.

This paper is the first to empirically examine investor information search and disaggregate market uncertainty. It also employs a unique data set and method to determine disaggregate, and aggregate, market uncertainty.

An Islamic social finance ecosystem has its specific instruments in terms of funding and investment that are in line with Shariah (Islamic law) principles. These include waqf (Islamic endowment), zakat (compulsory alms), ṣadaqah (donation), qarḍ ḥasan (benevolent loan) and others. In this context, the Islamic financial institutions can be considered as Islamic social finance institutions since it has the elements of Islamic social finance concepts. The uniqueness of these two types of institutions is that they operate with the absence of riba, maysir, gharar and thus the requirement of Shariah governance comes into existence. The practice of Shariah governance in Islamic financial institutions needs to be extensively examined by using a comprehensive measurement. Therefore, this chapter attempts to discuss on the needs of Shariah Governance Practices Index (SGPi) as a comprehensive measurement to measure the Shariah governance practices. In conclusion, it is proposed to have a comprehensive index to measure the Shariah governance practices which consider few components of Shariah governance such as the board of directors, the management, Shariah Committee and Shariah compliance functions.

The purpose of this paper is to demonstrate the applicability of the Credit Default Swaps (CDS), as a financial instrument, for transferring of risk in project finance loans. Also, an equation has been derived for pricing of CDS spreads.

The debt service cover ratio (DSCR) is modeled as a Brownian Motion (BM) with a power-law model fitted to the mean and half-variance of the existing data set of DSCRs. The survival probability of DSCR is calculated during the operational phase of the project finance deal, using a closed-form analytical method, and the results are verified by Monte Carlo simulation (MCS).

It is found that using the power-law model yields higher CDS premiums. This in turn confirms the necessity of conducting rigorous statistical analysis in fitting the best performing model as uninformed reliance on constant time-invariant drift and diffusion model can erroneously result in smaller CDS spreads. A sensitivity analysis also shows that the results are very sensitive to the recovery rate and cost of debt values.

Insufficiency of free cash flow is a major risk in the toll road project finance and hence there is a need to develop innovative financial instruments for risk management. In this paper, a novel valuation method of CDS is proposed assuming that DSCR follows the BM stochastic process.

An important question is whether lenders perceive politically connected firms as having less or higher default risk, and thus provide them with more or less preferential loan terms compared with non-connected firms. This paper aims to examine the relationship between political connections of corporate board members and cost of debt and loan contracting in the Gulf Cooperation Council (GCC) countries.

The initial sample comprises 288 GCC firm-year observations from 227 publicly listed firms in Oman, Qatar, Saudi Arabia and United Arab Emirates for the period from 2011 to 2015. It includes all the GCC publicly listed firms, excluding those in the financial, insurance and banking sectors because these entities are subject to different regulations. The ordinary least squares, logit regression and other sensitivity tests have been used to analyse the data and enhance reliability of the results.

This study finds that politically connected firms, particularly those connected through ruling royal family members, are associated with lower cost of debt, greater amounts of loans and longer-term government loans. Therefore, these findings support the prediction that political connections benefit GCC firms in the form of access to favourable terms from both government and commercial banks.

This study contributes to the extant literature by providing insightful analysis using unique political features of the GCC, integrated with agency and resource dependency theories. In particular, this study fills the gap in understanding the nature of loan contracting offered by government and commercial banks in the presence of politically connected boards within GCC setting.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

This paper aims to investigate the effect of Islamic microfinance on poor households through the case of the IKSAR Qard al-Hasan Program in Turkey. To achieve this aim, it examined the changes in the socio-economic status of beneficiaries before and after the program.

This paper adopts the convergent parallel mixed method design. It conducted two surveys to micro-entrepreneurs: the first is when they received the loan and the second is when they finished their installments. In addition to the longitudinal data obtained from these two surveys, qualitative data were collected by participant observation and interview technique with visiting these people periodically throughout the interest-free loan (qard al-hasan).

According to the results obtained from the analysis of the pre- and post-surveys, a statistically significant increase of 35% was experienced in the monthly household income after receiving the qard al-hasan loan compared to before. Similarly, a statistically significant increase was found in the monthly expenditures of 23 out of 30 households after receiving the qard al-hasan.

There are two originalities of this study. To the best of the authors’ knowledge, it is the first research that examines the only Islamic microfinance program in Turkey. Second, it uses longitudinal data while examining the impact of Islamic microfinance on the welfare of the poor. In the relevant literature, no study has been identified that uses longitudinal data in Islamic microfinance. Similarly, a limited number of longitudinal studies examine the impact of conventional microfinance institutions on the poor.

Novel ideas emerge from conversational interaction dynamics in meetings that are organizational practices of interaction. Drawing from meeting science with a focus on multiparty talk in meetings as communicative events, we refer to interaction dynamics as sequences of verbal statements. We explore patterns of verbal statements in idea generation processes in an explorative, inductive field study of ministerial think tank meetings. These are recurring agile meetings with interactive, free-flowing communication. By utilizing the validated, fine-grained act4teams coding scheme, we differentiate between task-related, procedural, and socio-emotional statements made in these meetings. Our findings show that the interactions within agile meetings are characterized by intensified turn-taking, overlapping speech, and joint heightened involvement. By means of lag sequential analysis, we find that novel ideas emerge from interaction cycles of task and socio-emotional statements. Among the latter, active listening expressed by “mm” or “yeah” is of particular importance for triggering novel ideas. As such, we reveal the micro-level emergence of novel ideas in conversational interaction by highlighting the facilitative function of active listening.