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The purpose of this paper is to examine the connectedness across a variety of Sukuk and conventional bond indices and the implications for optimal asset allocation for the period January 1, 2010–April 30, 2020.

The data set consists of five major Sukuk (Dow Jones Sukuk, Thompson Reuters BPA Malaysia Sukuk, Indonesia Government Sukuk, S&P MENA Sukuk and Tadawul Sukuk and Bonds Index) and five conventional bond indexes, one for developed (USA) and four for emerging markets (Malaysia, Indonesia, Africa and Qatar). This study investigates the connectedness and volatility spillover effects across the aforementioned indices, by following the Diebold and Yilmaz (2012) approach, based on the time-varying parameter vector autoregressive (TVP-VAR) model. In addition, this paper provides optimal hedge ratios and portfolio weights for investors.

The empirical results show that Sukuk and conventional bond markets are highly integrated and that total connectedness exhibits sensitivity to exogenous shocks. The Dow Jones and the Malaysian Sukuk indices are the primary shock transmitters to other markets. However, the weak volatility spillovers between the Dow Jones and conventional bonds suggest that opportunities for optimal asset allocation may in fact exist. The highest (lowest) hedging effectiveness can be achieved by taking a short position in Malaysian (Qatarian) bonds.

To the best of the knowledge, this is the largest sample taken into account to investigate the connectedness between Sukuk and conventional bonds.

This study investigates the dynamic relationships among trading behaviors of different investor groups (foreigners, domestic institutions and domestic individuals), stock returns and sovereign CDS (Credit Default Swap) spreads in Korea.

We employ the VAR (Vector autoregression) model to examine the dynamic relationships between CDS spread changes, stock returns and investors' behavior in the stock market.

The CDS spread change (stock return) declines (rises) in response to shocks to net foreign flows into the stock market on the same day. Foreigners buy stocks more intensely one day after an increase in the stock return, but they do not respond to CDS spread changes. Domestic individuals trade in the opposite direction of foreigners in response to shocks to both stock returns and CDS spread changes on the same day. Positive net stock purchases of domestic institutions (individuals) predict positive (negative) stock returns and negative (positive) CDS spread changes next day.

This study extends prior studies by examining how different investor groups' trading behaviors in the stock market are associated with not only the stock market but also a closely related market (CDS market). Prior empirical studies on the relation between the stock and CDS markets do not pay attention to possible heterogeneity in trading behavior across different types of investors in the stock market.

This paper models the benefits of Islamic banking on the efficiency of the banking sector and on societal happiness. This paper aims to examine how the adoption of Islamic banking to various degrees affects economics outcomes.

This study uses machine-learning tools to build a happiness function and integrate it in an agent-based model to test for the direct and indirect welfare effects of implementing Islamic banking principles.

This study shows that even though Islamic banking systems tend to reduce economic activity, financial stability and societal happiness is improved. Additionally, a banking sector using Islamic principles across all its members is better equipped to handle banking crises because contagion to both economic activity and societal welfare is greatly reduced. At the same time, adoption of the profit-and-loss sharing (PLS) paradigm by banks may also slow down economic growth.

The findings extend existing literature on the advantages of Islamic banking, by quantifying the welfare benefits of the PLS paradigm on happiness and financial stability.

To the best of the authors’ knowledge, this paper is the first to combine agent-based modelling with machine learning tools to examine the benefits of the Islamic banking model on financial stability, social welfare and unemployment.

Who applies for credit, who is credit constrained and who receives credit refusal in France? To address these questions and explore the determinants of certain household credit aspects in France, we exploit a unique dataset from the Household Finance and Consumption Survey (HFCS) led by European Central Bank (ECB).

The anonymized dataset we utilize is based on the third survey wave (2017) and includes 13,555 French households. More specifically, considering a large number of household variables, associated with dimensions such as demographics, employment, income, wealth, assets and expenditures, we estimate three logit regression models, attempting to capture the factors that determine the underlying behavior of households.

We find that variables such as age, education, housing status, employment situation, wealth and evolution of expenses, play a key role and enter with high statistical significance in the estimated models. Our results are consistent with the existing body of literature, also offering further implications about the research questions we pose. Finally, we provide an elaborate discussion which meticulously clarifies the qualitative dimension of our findings.

To the best of our knowledge, no studies appear in the international literature, focusing on household credit in France, utilizing original data from the ECB.

This paper aims to examine the month and the trading month effects under changing financial trends. The Greek stock market was chosen to implement the authors' assumptions because during the period 2002-2012, there were clear and long-term periods of financial growth and recession. Thus, the authors examine whether the financial trends influence not only the Greek stock market’s returns, but also its anomalies.

Daily financial data from the Athens Exchange General Index for the period 2002-2012 are used. The sample is separated into two sub-periods: the financial growth sub-period (2002-2007), and the financial recession sub-period (2008-2012). Several linear and non-linear models were applied to find which is the most appropriate, and the results suggested that the T-GARCH model better fits the sample.

The empirical results show that changing economic and financial conditions influence the calendar effects. The trading month effect, especially, completely changes in each fortnight following the financial trend. Regarding the January effect, which is the most popular month effect, the results confirm its existence during the growth period, but during the recession period, we find that it fades. Therefore, by examining the aforementioned calendar effects in different periods, different conclusions may be reached, perhaps because the financial trends’ influence is ignored.

The empirical results confirm the authors' assumption that a possible explanation for the controversial empirical findings regarding the calendar anomalies may be the different financial trends. However, these are some primary results that are confirmed only for the Greek case. Further empirical research for deeper stock markets and/or a group of countries may be useful to reach conclusions regarding the financial trends’ influence on the calendar anomalies patterns.

The findings are helpful to anyone who invests and deals with the Greek stock market. Moreover, they may pave the way for an alternative calendar anomalies research approach, proving useful for investors who take these anomalies into account when they plan their investment strategy.

This paper contributes to the literature by presenting an alternative methodological approach regarding the calendar anomalies study and a new explanation for the calendar effects existence/fade through time by examining the calendar anomalies patterns under a changing economic environment and financial trends.

The purpose of this paper is to investigate the reaction of the London Stock Exchange to the announcement of the city hosting 2012 Summer Olympic Games. The expectations of the Olympic Games are the anticipation of massive economic boosts to the host cities. These expectations are presumed to be translated into positive stock price returns. This research examines the London Stock Exchange industrial indices reactions to this announcement in July 2005.

In order to evaluate the returns the paper employs simple conventional OLS methodology technique, event study methodology and GARCH models with appropriate dummy variables.

The empirical results indicate a very limited number of significant indices impacted by such an announcement. A consistent finding to all the alternative estimations is that the oil and gas industry seem to be negatively affected by the Olympic Games announcement.

Findings are strongly recommended to practitioners, financial investors and portfolio managers dealing with British Stocks.

The contribution of this paper is that findings are in contrast to relevant studies, like Athens' Olympic Games, since enthusiasm is diminished.

The purpose of this paper is to examine the determinants of profitability for a sample of Greek non‐financial firms listed in the Athens Stock Exchange for the period 1995‐2003. This is a very important period for the Greek economy on the way to European monetary union (EMU).

The methodologies employed include panel data estimation techniques. This research attempts to exploit the determinants of firm profitability of non‐financial Greek firms listed in Athens Exchange utilizing firm‐specific publicly available accounting variables using panel data estimation techniques rather than cross‐sectional analysis.

According to the findings, firm profitability was positively affected by size, sales growth and investment and negatively by leverage and current assets. Additionally, we found that the EMU participation and the adoption of the euro were negatively related to firm profitability.

Taking into account the fact that the Greek economy has undergone significant transformation during the period under examination on its way to join EMU and to adopt the euro currency, a model has been formulated where both firm‐specific and economy wide factors determine firm profitability.

This paper focuses on a less developed and efficient stock market. In contrast to previous studies that did not take into account the convergence of the Greek economy to EMU averages and the subsequent adoption of the euro, this paper analyses data for the pre‐EMU and the post‐EMU periods in an attempt to quantify a potential macroeconomic effect on firm‐specific profitability.

The purpose of this paper is to propose an object-oriented model of financial simulations which aims to test the applicability and suitability of the proposed measures of Basel III with respect to the prevention of banking crises.

The authors introduce an object-oriented model of financial simulations in the banking sector, namely, virtual banking (VBanking). The system is based on behavioural simulation of economic agents and allows for transactions between them, using various forms of financial assets. VBanking has been implemented as an automated stand-alone model, allowing for repetitive simulations under the same parameter sets, producing an efficient series of statistical data.

Interpretation of the resulting data suggests that some of the criticism against the proposed measures is justified, as neither economic crises nor contagion are diminished under Basel III. At the same time, the authors’ findings support that the stability goal is met, at least in part.

The model encompasses a relatively small part of the banking sector, while the authors choose not to deal with the production part of the economy. However, these limitations do not hinder the validity and importance of the authors’ findings.

The originality of this article lies in the use of an object-oriented behavioural model and in the resulting model application that is based on it. This enables the authors to run a series of simulations with different parameters, the results of which the authors can then compare. The authors’ findings can contribute to the authorities’ efforts to ameliorate the policies of Basel III.