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This paper aims to analyse the appraisal of a specialised form of real estate – data centres – that has a unique blend of locational, physical and technological characteristics that differentiate it from conventional real estate assets. Market immaturity, limited trading and a lack of pricing signals enhance levels of appraisal uncertainty and disagreement relative to conventional real estate assets.

Given the problems of applying standard discounted cash flow, an approach to appraisal is proposed that uses pricing signals from traded cash flows that are similar to the cash flows generated from data centres. Based on “the law of one price”, it is assumed that two assets that are expected to generate identical cash flows in the future must have the same value now. It is suggested that the expected cash flow of assets should be analysed over the life cycle of the building. Corporate bond yields are used to provide a proxy for the appropriate discount rates for lease income. Since liabilities are quite diverse, a number of proxies are suggested as discount and capitalisation rates including indexed‐linked, fixed interest and zero‐coupon bonds.

The application of conventional discounted cash flow approaches to the appraisal of data centres requires information about a wide range of inputs that is difficult to derive from market signals or estimate analytically. In practice, discounted cash flow appraisals of data centre facilities are forced to incorporate non‐market assumptions that are inevitably subjective. Cash flows from data centres tend to be more complicated because of the high levels of current and capital expenditure compared with conventional assets. This requires an understanding of the appraisal of liabilities as well as income. Whilst the use of price information from similar cash flows such as corporate bonds is helpful, there are rarely assets and liabilities that have identical cash flows and risks and some approximation is necessary.

The digitalisation of business and society has produced a different form of real estate asset that is specialised, physically complex and whose operation, maintenance and management require specialist staffing and high levels of current and capital expenditure. The complexity of the cash flows and the lack of active trading create significant appraisal problems. This paper proposes an alternative approach to appraisal that utilises external pricing signals to appraise the various incomes and costs.

This paper aims to investigate a fundamental research question of whether the Islamic banking business model makes corporate earnings more uncertain. This question arises because prior research shows that Islamic banks do well in loan performance but incur more operational costs than conventional banks, indicating the systemic limitation of Islamic banks in business risk management.

The study used a sample of banks to conduct the panel regression analysis with 15 years of data for 532 banks (129 Islamic and 403 conventional) from 23 Muslim countries across the world. The authors estimate earnings uncertainty in two ways: the spread and standard deviation of the country-adjusted return over the sample period and applied the difference-in-difference approach interacting cost to income ratio with the Islamic bank dummy, checking if Islamic bank’s high operational costs contribute to more earning uncertainty.

Islamic banks’ returns on assets are significantly more uncertain than conventional banks due to higher operational costs. Consistent with earlier evidence, the study also finds that Islamic banks generally have fewer nonperforming loans than conventional banks. The authors conclude that Islamic banks trade-off between reducing credit risk and escalating business risk.

This study documents that the Islamic banking model helps build a safer asset portfolio but gives rise to the uncertainty of corporate earnings. Therefore, the choice between Islamic and conventional banking models involves a trade-off between credit and business risks. It is a new finding that we add to the literature body on Islamic finance.

In light of the current debate on bank capital requirements, the purpose of this paper is to investigate the relative impact of capitalization on risk‐taking efficiency in Islamic and conventional banks. The author tests whether changes occurring to the capital structure of such different types of intermediaries unevenly affect their behaviour in terms of risk‐taking efficiency.

The paper conducts an empirical analysis using data for the period 2001‐2011 by means of both standard regression methods and stochastic cost frontier techniques.

Results provide evidence that more capitalized Islamic banks are associated to less risky positions in terms of their asset structure. In particular, the latter exhibit higher liquidity standards and a lower incidence of non‐performing loans compared to other banks. This has delayed positive effects on profitability and no substantial impact on efficiency. On the other hand, highly capitalized conventional banks tend to shift from more traditional lending activities to investment in other (profit generating) assets. Such strategy increases profitability and efficiency, although raising impaired loans.

This study does not address potential endogeneity concerns that might affect the variables at stake, hence mainly providing indications in terms of correlation between phenomena rather than causality.

The analysis has important practical implications when considering capital adequacy as a regulatory tool for managing the risk of Islamic banks' activity, following principles similar to those recommended by the Basel committee.

The original contribution of the paper to the literature consists of comparing the effects of capitalization in different types of banks, and results can be usefully exploited by policymakers wishing to tailor banking regulation on the specific model of banking they are entitled to regulate.

This paper aims to investigate the financial uncertainty vary according to different financial assets type: conventional and Islamic.

Common factors are related to risk or known information. For this, the authors use general dynamic factor model to extract common variation between both types of indexes. Then they calculate stochastic volatility for each idiosyncratic component. They also carry out the study on three different family indexes respectively, Dow Jones, S&P and MSCI indexes, for the period going from January 1, 2008 to June 30, 2018. Through a comparison analysis with uncertainty index designed for conventional assets, the authors examine the similarity between the two indexes via mean, median and variance tests. They decrypt the interrelation between them by using OLS linear regression, vector autoregressive model.

The findings show that Islamic assets uncertainty is different from conventional uncertainty level. This difference can be due to the Shariah screening and the prohibition of gharar. The main findings suggest that Islamic financial uncertainty is lower than conventional one. The OLS results prove that conventional financial uncertainties have no impact on their Islamic counterparts. In addition, Islamic financial uncertainty appears to have no significant influence on conventional one exception for Dow Jones pair. Overall, the findings support the decoupling hypothesis in term of uncertainty only for SP and MSCI indexes.

Risk averse investors can find their claim in Shariah-compliant assets, as it offers a low level of financial uncertainty. A portfolio manager may benefit from the long run non-association in uncertainty between Islamic and conventional assets especially in time of crisis.

In this work, the authors measured financial uncertainty differently and take into account the specific features of each index type to improve the results quality.

This study aims to investigate the performance differences of Islamic and conventional banks in Pakistan by using financial ratios.

This study analyzed 5 Islamic and 19 conventional banks for the periods of 2007-2014. Two types of analyses were performed – sample t-test and logistic regression. Analysis was also performed on sub-sample considering crisis effects.

It was found that Islamic banks are relatively better in profitability, efficiency, risk and liquidity management, while conventional banks are superior in asset quality. Higher efficiency of Islamic banks contradicts with previous studies conducted in Pakistan. Probable reasons for this include phenomenal expansion of Islamic banking industry and its broad appeal to customers in Pakistan. Risk management practices of Islamic banks are superior to conventional banks, as Shariah rules restrict pure speculation in monetary terms. Better asset quality of conventional banks is attributed to their recognition and product diversity. During the crisis, Islamic banks were found less profitable than their counterparts.

This study suggests that high operational efficiency of Islamic banks should be converted into technical efficiency by improving human resource, introducing innovative market-oriented products and prudent resource allocations. As operational efficiency does not promise returns in long term, to sustain ongoing phenomenal growth of Islamic banking, management needs to gain customer trust.

This is an original research that compares performance differences across Islamic and conventional banks by using financial ratios.

This paper argues that intellectual capital and intangible assets are difficult resources for two different reasons. First, intellectual capital and intangibles assets are not (yet) disentangled by the institutions of the capital markets, and therefore they are not (yet) translatable with any degree of confidence into predictions about stock price behaviour. Second, intellectual capital and intangibles are not absent from capital market intelligence; they are just typically translated into financial form, when they are presented to actors in the capital markets, even if in forms that are themselves “invisible”. The capital market may have limited understanding of intellectual capital, but it is also always seeking to understand the complexity of business and (im)possible futures. Its appreciation of intellectual capital is therefore fragile.

This study aims to investigate the dependence structure and volatility spillovers among two strategic commodities (crude oil and gold) and a set of Islamic and conventional regional stock market indices, while examining the Ramadan effect

The empirical strategy consists of two complementary measures of dependence and connectedness. This study first uses copulas to examine the dependency between the markets considered, then spillovers compute the magnitude of the connectedness among them.

The copulas analysis shows that Frank’s copula appears to better capture the relationship between most asset returns and highlights the almost absence of extreme dependence and, therefore, the existence of diversification opportunities. Moreover, the connectedness analysis suggests that gold is a net volatility receiver and provides, thereby, greater diversification benefits compared to crude oil. In addition, the high levels of time-varying connectedness support strong integration among the financial markets studied, specifically during the COVID-19 crisis period. Furthermore, the connectedness among the markets studied increases during the Ramdan subperiods, supporting shift contagion among financial markets considered during this religious holiday.

The results provide investors with a better understanding of the nature as well as the magnitude of the interdependences between commodity markets and a set of Islamic and conventional regional stock markets. Indeed, it is of paramount importance for investors to clearly understand how Islamic and conventional markets are segmented or integrated during stress and stress-free periods, as well as the effect of the month of Ramadan on the interdependence among markets, to better assess risks, diversify portfolios and implement more effective hedging strategies.

While a considerable body of literature examines financial contagion and volatility transmission between financial markets, there is still much to be said regarding connectedness among commodity and stock markets, particularly when it comes to studying the effects of religious holidays on the interaction between conventional and Islamic assets. This paper fills in this gap by focusing on the dependence structure as well as the connectedness between Islamic stock indices, conventional stock indices, gold and crude oil for six different regions, while examining the Ramadan effect.

This paper aims to investigate whether Islamic indexes, Bitcoin and gold still act as hedges or/and “safe-haven” assets during the COVID-19 pandemic crisis. This paper examines the role of the Morgan Stanley Capital International all-country world index, Islamic index, gold and Bitcoin as a hedge or safe-haven asset for the world conventional stock market over the period from April 30, 2015 to March 27, 2020.

In this paper, the authors re-evaluate the hedge and safe haven properties of Islamic indexes, gold and Bitcoin following Baur and Lucey’s (2010) and Baur and McDermott’s (2010) methodology.

Empirical results show that the Islamic index is not a hedge or a safe haven asset for the world conventional stock market during the recent coronavirus crisis period. Different from the whole period, the authors find that gold is a strong hedge but only a weak safe or is not a safe haven during the coronavirus sub-period. Bitcoin reports distinctive properties, as it acts as a weak hedge and not a safe-haven asset.

This paper is the first study that investigates whether the global Islamic index still acts as hedges or “safe-haven” assets during the new COVID-19 crisis period. The results can help investors make informed decisions when adding cryptocurrencies and Islamic indexes to their portfolios during the coronavirus crisis.

This paper aims to explore whether the market perceives liquid international sovereign sukūk as distinct from comparable bonds and as an asset class of their own that could shield investors against turbulences in the bond markets.

If sukūk and bonds belong to the same asset class, then basically the same supply and demand factors determine inverstors’ activities in both markets. This should lead to matching patterns of yield curves for sukūk and bonds comparable in terms of issuers, maturity, currency, size, liquidity and rating. Only a rough analysis of holding and trading patterns of conventional and Islamic sukūk investors was possible, as most sukūk market transactions are “over-the-counter” and not registered in the Bloomberg database. However, price information could be used for an analysis of yield curves of liquid sovereign sukūk and comparable bonds.

Conventional investors participate in the sukūk market, but their influence on prices is rather small, as they act primarily as intermediaries (i.e. market makers) as opposed to price setters. The yield curves of the selected bonds and sukūk widely match. This suggests that bonds and liquid sovereign sukūk belong to the same asset class. Furthermore, as turbulences in conventional markets are also reflected in the sukūk markets, Islamic investors themselves play a role in the transmission.

The study of holding patterns and of the market perception of sovereign sukūk and bonds required a focus on four countries with deep and (potentially) liquid sukūk markets (Malaysia, Turkey, Indonesia and Hong Kong) and US$-denominated international securities. Some suitable combinations of sukūk and bonds are relatively young issuances with time series data for two to three years only. Data on holding patterns are sketchy and require interpretations based on market knowledge.

Parallel yield curves indicate that conventional investors do not perceive international sovereign sukūk as an asset class of their own distinct from conventional government bonds. This market perception of liquid international sovereign sukūk could have an impact on other types of sukūk (e.g. on international corporate sukūk) if sovereign sukūk are taken as pricing and performance benchmarks.

The paper sheds light on institutional investor behavior in the bond and sukūk markets and outlines data availability issues that constrain quantitative analyses in over-the-counter markets.

This study aims to identify the ability of gold and cryptocurrency (Cryptocurrency Uncertainty Index (UCRY) Price) as safe haven assets (SHA) for stocks and bonds in both conventional (i.e. stock indices and government bonds) and Islamic markets (i.e. Islamic stock indices and Islamic bonds (IB)).

The authors employed the nonadditive panel quantile regression model by Powell (2016). It measured the safe haven characteristics of gold and UCRY Price for stock indices, government bonds, Islamic stocks, and IB under gold circumstances and level of cryptocurrency uncertainty, respectively. The period spanned from 11 March 2020 to 31 December 2021.

This study discovered three findings, including: (1) gold is a strong safe haven for stocks and bonds in conventional and Islamic markets under bearish conditions; (2) UCRY Price is a strong safe haven for conventional stocks and bonds but only a weak safe haven for Islamic stocks under high crypto uncertainty; and (3) gold offers a safe haven in both emerging and developed countries, while UCRY Price provides a better safe haven in developed than in emerging countries.

Gold always wins big for safe haven properties during unstable economy. It can also win over investors who consider shariah compliant products. Therefore, it should be included in an investor's portfolio. Meanwhile, cryptocurrencies are more common for developed countries. Thus, the governments and regulators of emerging countries need to provide more guidance around cryptocurrency so that the societies have better literacy. On top of that, the investors can consider crypto to mitigate risks but with limited safe haven functions.

The originality aspects of this study include: (1) four chosen assets from conventional and Islamic markets altogether (i.e. stock indices, government bonds, Islamic stock indices and IB); (2) indicator countries selected based on the most used and owned cryptocurrencies for the SHA study; and (3) the utilization of UCRY Price as a crypto indicator and a further examination of the SHA study toward four financial assets.