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This paper focuses on execution costs as liquidity measure. Execution costs are related to volatility and are an important component of a firm’s cost of capital. The purpose of this paper is to examine whether emerging market firms have lower execution costs when they face less restrictions on foreign investment and when they have more foreign shareholders.

The authors begin by documenting the cross-sectional behavior of execution costs. The authors then obtain preliminary evidence on the interaction between execution costs, the investability index and actual foreign investment. These results foreshadow those the authors obtain with the regression analysis. The ordinary least square results show that more investable firms have lower execution costs after the authors control for firm size, stock price, return volatility, industry effects and country effects. This evidence is very robust and highly significant. Direct foreign ownership (FO) in emerging market firms also appear to be associated with lower execution costs. The economic benefit from lowering the investability index on trade execution costs is highly significant.

Using a large cross-sectional sample from 23 emerging markets, the authors show that firms with more ex ante restrictions on FO, measured by the investability index, have lower execution costs, such as quoted spreads (QS) and effective spreads (ES), after the authors control for firm size, stock price, return volatility, industry factors and country effects. In addition, direct FO in emerging market firms appears to be associated with lower execution costs. However, ex ante restrictions on FO dominate the influence of direct FO. For a 0.5 increase in the investability index in the range of 0–1, the QS will be reduced by 17 percent of the mean QS, and the ES will be reduced by 12 percent of the mean ES from the sample stocks.

There are important differences between the approach and most of the financial liberalization studies. First, whereas most of the earlier studies are conducted at the level of country or market analysis, the investigation is at the level of individual stocks. Second, the authors focus on a cross-sectional association that avoids a criticism leveled at time series analyses. Over-time studies often use specific time points to represent financial liberalization watersheds. This approach can be misleading when financial liberalizations are viewed as processes that unfold over time. Third, the proxies for financial openness are available not only for individual firms across markets, but the authors also make a distinction between potential and actual foreign investment. The authors further categorize actual foreign investment into direct and indirect FO.

Bitcoin is the best-known cryptocurrency which currently holds the largest market capitalisation and is regarded as a standard example of a cryptocurrency. There is, however, no consensus as to the nature of the Bitcoin. The purpose of this paper is to determine whether Bitcoin represents a new asset class by building on prior research.

The prior literature on asset classes is explored in detail and then applied to the Bitcoin. Four key criteria of asset classes are discussed, namely, investability, politico-economic profile, correlation of returns and risk-reward profile. Statistical techniques are used to inform the conclusions for the third and fourth criteria.

This research finds that the Bitcoin represents a distinct alternative investment and asset class. There are significant opportunities for investment. The politico-economic profile of the decentralised and consensus-based Bitcoin is dissimilar to other asset classes. The Bitcoin shares little or no correlation with other asset classes. Using Sharpe Ratios, it is shown that the Bitcoin provides risk-adjusted returns over and above most asset classes.

The aim of this research is to present a normative exploration into the asset class nature of the Bitcoin and, as a result, the aim is not to create positivist generalisable conclusions. This paper does not address cryptocurrencies, other than Bitcoin and does not constitute a detailed manual on modern portfolio theory.

This research adds to finance paradigm research on the Bitcoin by including a developing country perspective on Bitcoin as an asset class as prior studies have concentrated on developed country settings. Further, this research introduces recent economic data (2014 to 2017) in the form of daily observations to enhance prior understanding. It is important to understand if the Bitcoin represents an alternative investment and new asset class as this may affect investment decisions.

In recent years, the issue of human trafficking has become a key component of a growing number of corporate social responsibility initiatives, in which multinational corporations have furthered the pursuit of “market based solutions” to contemporary social concerns. This essay draws upon in-depth interviews with and ethnographic observations of corporate actors involved in contemporary anti-trafficking campaigns to describe a new domain of sexual politics that feminist social theorists have barely begun to consider. Using trafficking as a case study, I argue that these new forms of sexual politics have served to bind together unlikely sets of social actors – including secular feminists, evangelical Christians, bipartisan state officials, and multinational corporations – who have historically subscribed to very different ideals about the beneficence of markets, criminal justice, and the role of the state.

The present study aims to provide a practical and robust assessment technique for assessing countries' investability in global supply chains to practitioners. Thus, the proposed approach can help decision-makers evaluate and select appropriate countries in the expansion process of the global supply chains and reduce risks concerning country (market) selection.

The present study proposes a novel decision-making approach, namely the REF-Sort technique. The proposed approach has many valuable contributions to the literature. First, it has an efficient basic algorithm and can be applied to solve highly complicated decision-making problems without requiring advanced mathematical knowledge. Besides, some characteristics differentiate REF-Sort apart from other techniques. REF-Sort employs the value or value range that reflects the most typical characteristic of the relevant class in assignment processes. The reference values in REF-Sort and center profiles are similar in this regard. On the other hand, class references can be defined as ranges in REF-Sort. Secondary values, called successors, can also be employed to assign a value to the appropriate class. REF-Sort can also determine the reference and successor values/ranges independently of the decision matrix. In addition, the proposed model is a maximally stable and consistent decision-making tool, as it is resistant to the rank reversal problem.

The current papers' findings indicate that countries have different features concerning investment. Hence, the current paper pointed out that only 22% of the 95 countries are investable, whereas 19% are risky. Thus, decision-makers should make detailed evaluations using robust, powerful, and practical decision-making tools to make more reasonable and logical decisions concerning country selection.

The current paper proposes a novel decision-making approach to evaluate. According to the authors' information, the proposed model has been applied to evaluate investable countries for the global supply chains for the first time.

This paper aims to elaborate on the optimization of two particular cryptocurrency portfolios in a mean-variance framework. In general, cryptocurrencies can be classified to as coins and tokens where the first can be thought of as a medium of exchange and the latter accounts for security or utility tokens depending upon its design.

Against this backdrop, this empirical study distinguishes, in particular, between pure coin and token portfolios. Both portfolios are optimized by maximizing the Sharpe ratio and, subsequently, compared with alternative portfolio strategies.

The empirical findings demonstrate that the maximum utility portfolio of coins, with a risk aversion of λ = 10, outweighs alternative frameworks. The portfolios optimized by maximizing the Sharpe ratio for both coins and tokens indicate a rather poor performance. Testing the maximized utility for different levels of risk aversion confirms the findings of this empirical study and confers them more robustness.

Further investigation is strongly recommended as tokens represent a new phenomenon in the cryptocurrency universe, for which only a limited amount of data are available, which restricts the sampling. Furthermore, future study is to include more sophisticated optimization models using different constraints in portfolio creation.

In light of the persistently substantial volatility in cryptocurrency markets, the empirical findings assert that portfolio managers are advised to construct a global minimum variance portfolio. In the absence of sophisticated optimization models, private investors can invest according to the market values of cryptocurrencies. Despite minor differences in the risk and reward ratios of the portfolios tested, tokens tend to be more speculative, especially, if the Tether token is excluded, which may require enhanced supervision and investor protection by regulating authorities.

As the current literature investigates on diversification effects of blended cryptocurrency portfolios rather than making an explicit distinction, this paper reflects one of the first to explore the investability and role of diversifying coins and tokens using a classic Markowitz approach.

The author, a stalwart of the UK Asset and Liability Management Association, provides a guide to the construction and make‐up of bond indices and argues that users should assess them in great depth until they gain a proper understanding of what they will gain from their use.

This paper aims to compare and analyse the aspects of Shariah screening methodologies within the selected Gulf Cooperation Council (GCC) countries as well as comparing the methodologies with the USA, and to examine how Shariah screening methodologies affect financing and investing activities of a firm.

Shariah screening methodologies within the selected GCC countries and between the GCC countries and the USA are compared on the basis of the data collected from secondary sources.

Design, qualification and Shariah governance set the Shariah screening methodologies within the GCC countries apart. Feasibility, duration, economic viability and funds required differentiate these Shariah screening methodologies between the GCC countries and the USA. Shariah screening methodologies implied in the USA is more stringent than in the GCC countries.

The suggestions in this study include using a longer research timeline, examining many more number of countries’ Shariah screening methodologies and exploring other types of Shariah screening methodologies.

The possibility of generalising the implementation of strict and uniform Shariah screening methodologies across all the country-specific Shariah indices amongst Muslim nations, globally, is likely to benefit all the Muslim countries, by strengthening the understanding, interaction and economic co-operation amongst these countries.

People’s needs can be tended to if Maqasid Al-Shariah (objectives of Shariah) is achieved through flexibility, dynamism and creativity within the social policy.

Aspects of Shariah screening methodologies are compared and contrasted within the selected GCC countries as well as between the GCC countries and the United States and the role of Shariah screening methodologies is examined in order to determine the extent of what is Shariah-Compliant and what is Non-Shariah Compliant for a firm.

This paper analyzes two views on the issue of FDI and stock market development. The first view is that FDI is negatively correlated with the development of stock markets. The second view is that FDI is positively related to stock market development. After addressing the issues that might lead to these conclusions, the hypothesis is tested that the level of stock market development in a country is positively correlated to FDI. Data is collected from four Latin American countries and an empirical model is proposed to explain the observed relationship. Additional explanatory variables were included, and a model is developed.