International Journal of Financial Studies — Open Access Journal

The purpose of this article is to develop a quantitative model that supports policy makers in the tourism sector in making socially responsible investment decisions. In particular, this paper proposes a methodological approach to assess the impact of strategic decisions at the policy level, in the field of tourism, from an economic, environmental and social point of view. The Calabria region, in Italy, has been chosen as a real-world case study. Based on historical data, the study identifies the main levers that influence tourism-related dynamics in Calabria. A quantitative forecasting model to support future investment decisions for sustainable tourism has then been developed. This problem is modeled through a multi-criteria optimization framework. To initialize such a framework, a non-linear autoregressive network with exogenous inputs (NARX) has been used. The proposed model is a flexible instrument to evaluate public investment policies in the field of tourism from the point of view of sustainability and social responsibility. Full article

The purpose of the present paper is to provide an advanced overview of the practical applications of Banking 4.0 in Industry 4.0. This paper examines the technology trends in the Fourth Industrial Revolution and identifies the key indicators behind the creation of a strategic map for the fourth-generation banks and their readiness to enter Industry 4.0. This paper examines a systematic review of fully integrated Banking 4.0 and the application of the technologies of Industry 4.0 and illustrates a distinct pattern of integration of Banking 4.0 and Industry 4.0. One of the prominent features of this article is the performance of successful global banks in applying these technologies. The results showed that Banking 4.0 in Industry 4.0 is an integrative value creation system consisting of six design principles and 14 technology trends. The roadmap designed for banks to enter Industry 4.0 and how they work with industrial companies will be a key and important guide. Full article

This study assesses how the coronavirus pandemic (COVID-19) affects the intraday multifractal properties of eight European stock markets by using five-minute index data ranging from 1 January 2020 to 23 March 2020. The Hurst exponents are calculated by applying multifractal detrended fluctuation analysis (MFDFA). Overall, the results confirm the existence of multifractality in European stock markets during the COVID-19 outbreak. Furthermore, based on multifractal properties, efficiency varies among these markets. The Spanish stock market remains most efficient while the least efficient is that of Austria. Belgium, Italy and Germany remain somewhere in the middle. This far-reaching outbreak demands a comprehensive response from policy makers to improve market efficiency during such epidemics. Full article

The study aims to operationalize financial reporting quality in terms of the qualitative characteristics (QCs) as stated by the Accounting and Auditing Organization of Islamic Financial Institutions (AAOIFI) standards, as well as to investigate their association with earnings quality (EQ) and banking performance. The study uses secondary data extracted from DataStream to operationalize and measure the financial reporting quality in the annual reports of 25 out of the 27 Islamic banks in the Gulf Council Countries (GCC) for a 5-year period (2014–2018), meaning 125 annual reports were used. The study applies a manual content analysis to the annual reports to score all the items of QCs and operationalizes 25 measurement items that represent the six QCs. All items use 5-point Likert-type scales to compute the sub-score and the overall index through the Neural Network System. The findings of the model paths show a significant positive relationship between EQ and most of the QCs. The first hypothesis is partially accepted as there is a positive relationship between EQ and relevancy, reliability, prudence and general quality; however, there is no significant relationship between EQ and understandability and there is a significant negative relationship between EQ and comparability. Moreover, the study finds a significant positive relationship between EQ and ROA on one hand and EQ and ROE on the other hand (p-value = 0.00), meaning the second hypothesis is supported. Full article

This paper primarily aims to assess the impact of financial literacy on households’ investment choices. The paper employs secondary data from the FinScope survey (2017) conducted by Financial Sector Deepening Trust (FSDT). In particular, the study aims at establishing whether the choices of investment platforms are influenced by the financial literacy level of the heads of households. To do so, the study employed both bivariate and multivariate analytical techniques. The study finds that financial literacy is positively and significantly associated with household investment choices. More specifically, as households become more financially literate, they divert from investing in informal groups towards more formal investment platforms such as investment accounts, agricultural ventures as well as personal business. Such observations may be partly attributable to the facts that individuals whose financial literacy is sound enough are more likely to be equipped with skills and knowledge of risks associated with investment opportunities and some other several financial products. The study also reveals that financial literacy is significantly associated with households’ socio-demographic factors, and that the adult population exhibits a large financial literacy gap and, therefore, adults should not be considered as a homogenous group—instead, gender, age, education and income levels of the households, which are showcased in this study, should also be taken into consideration. The study opines that, because most of households, as revealed in the survey from which the employed dataset is based, are hailing from rural settings where agriculture is the main economic activity, we establish that agricultural ventures require a complete revamp for Tanzania to become a middle-income economy through its industrialization agenda. The study also proposes the financial literacy programmes to be rolled on to students from early stage of their education such as secondary schools. Full article

It is important to evaluate the impact of Ethiopia’s financial inclusion strategy since it has been launched in 2014. Accordingly, this paper assesses the extent to which the target has been met. The main aim of this study is to measure the success or failure of Ethiopia’s financial inclusion in comparison with other countries in East Africa. Using secondary data, this study revealed that Ethiopia’s financial inclusion is not as successful as other East African countries. This study also found that Ethiopians prefer informal saving clubs rather than formal financial organs. This preference, combined with unemployment and low income, is the barrier to the financial inclusion strategy. Based on the findings, identifying and addressing root causes should be done by removing distance, cost, credit, and documentation barriers. Moreover, the findings showed that access to public transit can also expand the reach of formal financial institutions by encouraging more people to physically access financial institutions. This study recommended access to formal financial organs as a core to financial institutions. Access to formal financial organs should be boosted through increasing financial institutions. Educating individuals about their financial circumstances were also recommended so that people can increase their formal saving uptake. This paper also recommended that the government develop regulatory guidelines for the functioning of financial institutions. The main outcome, therefore, is that financial institutions could be more transparent and predictable, reduce costs, and simplify the rules for entering the market. Full article

The Current Expected Credit Loss (CECL) revised accounting standard for credit loss provisioning is the most important change to United States (US) accounting standards in recent history. In this study, we survey and assess practices in the validation of models that support CECL, across dimensions of both model development and model implementation. On the development side, this entails the usual SR 11-7 aspects of model validation; however, highlighted in the CECL context is the impact of several key modeling assumptions upon loan loss provisions. We also consider the validation of CECL model implementation or execution elements, which assumes heightened focus in CECL given the financial reporting implications. As an example of CECL model development validation, we investigate a modeling framework that we believe to be very close to that being contemplated by institutions, which projects loan losses using time-series econometric models, for an aggregated “average” bank using Federal Deposit Insurance Corporation (FDIC) Call Report data. In this example, we assess the accuracy of 14 alternative CECL modeling approaches, and we further quantify the level of model risk using the principle of relative entropy. Apart from the illustration of several model validation issues and practices that are of particular relevance to CECL, the empirical analysis has some potentially profound policy and model risk management implications. Specifically, implementation of the CECL standard may lead to under-prediction of credit losses; furthermore, coupled with the assumption that we are at an end to the favorable phase of the credit cycle, this may be interpreted as evidence that the goal of mitigating the procyclicality in the provisioning process that motivated CECL may fail to materialize. Full article

The study examines evidence for the transmission of the US and EU financial crises via investor holdings into the Chilean stock market following two global financial crises, in 2008 and 2011. The study modified the models of Bekaert et al. (2014), and Dungey and Gajurel (2015) on the 2007–2009 global financial crisis and extends the period to include the European debt crisis of 2010–2011. The study produced three main contributions. First, changes in the equity holdings of retail investors were a key source of contagion following the 2008 US financial crisis. Second, investor herding during the 2011 financial crisis is shown to be low based on the co-movement of equity holdings between the four investor groups studied. Third, investor behavior during the 2011 EU crisis differs from that of the 2008 US financial crisis, which we attribute to firms in Chile adopting international financial reporting standards (IFRS) and improving their corporate governance. We compared the findings to the prior contagion studies that rely on Chilean return data to highlight the contributions to international financial research, particularly as it relates to the functioning of emerging capital markets during financial crises. Full article

Bitcoin’s evolution has attracted the attention of investors and researchers looking for a better understanding of the efficiency of cryptocurrency markets, considering their prices and volatility. The purpose of this paper is to contribute to this understanding by studying the degree of persistence of the Bitcoin measured by the Hurst exponent, considering prices from the Brazilian market, and comparing with Bitcoin in USD as a benchmark. We applied Detrended Fluctuation Analysis (DFA), for the period from 9 April 2017 to 30 June 2018, using daily closing prices, with a total of 429 observations. We focused on two prices of Bitcoins resulting from negotiations made by two different Brazilian financial institutions: Foxbit and Mercado. The results indicate that Mercado and Foxbit returns tend to follow Bitcoin dynamics and all of them show persistent behavior, although the persistence in slightly higher for the Brazilian Bitcoin. However, this evidence does not necessarily mean opportunities for abnormal profits, as aspects such as liquidity or transaction costs could be impediments to this occurrence. Full article

Recent literature shows that market anomalies have significantly diminished, while research on market factors has largely improved the performance of asset pricing models. In this paper we study the extent to which data envelopment analysis (DEA) techniques can help improve the performance of multifactor models. Specifically, we test the explanatory power of the Fama and French three-factor model, combined with an additional factor based on DEA, on a sample of 2101 European equity funds, for the period from 2001 to 2016. Accordingly, we first form the fund portfolios that constitute our test assets and create the efficiency factor. Secondly, we estimate the prices of risk tied to the four factors using ordinary least squares (OLS) on a two-stage cross-sectional regression. Finally, we use the R-squared statistic estimated by generalized least squares (GLS), as well as the Gibbons Ross and Shanken test and the J-test for overidentifying restrictions in order to study the performance of the model, including and omitting the efficiency factor. The results show that the efficiency factor improves the performance of the model and reduces the pricing errors of the assets under consideration, which allows us to conclude that the efficiency index may be used as a factor in asset pricing models. Full article

Supply chain finance has been gaining attention in theory and practice. A company’s financial position affects its performance and survivability in dynamic and volatile markets. Those that have weak financial performance are vulnerable when operating in environments that are uncertain and financially unstable. Companies adopt various solutions and techniques to manage, effectively and efficiently, the flow of money to and from its suppliers and buyers. Reverse factoring is an innovative technique in supply chain financing. This paper develops a joint economic lot size model where a vendor coordinates operational and financial decisions with its multiple suppliers through the establishment of a reverse factoring arrangement. The creditworthy vendor systematically informs a financial institution (e.g., bank) of payment obligations to selected suppliers, enabling the latter to borrow against the value of the relevant accounts receivable at low interest (borrowing) rates. The paper also presents a numerical example and a sensitivity analysis to illustrate the behavior of the model and to compare the economic and operational performance of a supply chain with and without a reverse factoring agreement. The results show that the establishment of a reverse factoring agreement within the supply chain improves the economic performance and impacts on the operational decisions. Full article

This research is conducted to investigate the impact of corporate governance on stock price synchronicity in the context of the Vietnamese market. The paper tests four hypotheses proposing the effect of four crucial components of corporate governance including board size, board independence, managerial ownership, and foreign ownership on stock price synchronicity. The study sample includes 247 non-financial listed companies on the Ho Chi Minh Stock Exchange (HOSE) in Vietnam over a period of five years from 2014 to 2018. The fixed effects model is employed to address econometric issues and to improve the accuracy of the regression coefficients. The research results show the positive impact of board size and foreign ownership but the negative impact of managerial ownership on stock price synchronicity. This study confirms the viewpoint that stocks in the market move more together when the firms’ corporate governance gets better. In other words, the research findings suggest that low synchronicity signifies the corporate intransparency and weak information environment and vice versa. From this, the paper provides a new insight to managers on how to improve stock price synchronicity with corporate governance. Full article

We aim to analyze the impact of capital regulation and market discipline on capital to risk-weighted assets ratio. We used the panel data of Asian developing-countries banks for the period from 2009 to 2018. We collected data from the financial statements of 73 banks of Pakistan, Jordan, Indonesia, the Philippines, Saudi Arabia, and Thailand. We used the generalized method of moment (GMM) to analyze the results. We find that capital regulation and market disciplines significantly influence the capital ratio in Asian developing countries. Full article

This study analyzes corporate ownership as a corporate governance mechanism and its role in creating firm value. Previous research shows that there is no convergence on the firm-value corporate ownership relationship. Most research in this area takes a cross national approach ignoring the uniqueness of each institutional setting particularly those of emerging nations. Using a unique firm level dataset, we investigate how corporate control nature and ownership concentration affect the value of Chinese listed firms. First, non-state owned control is associated with a higher Tobin’s Q while a negative premium is found for state owned. Using the hybrid and the correlated random effects model we confirm a U-shaped non-linear relationship between ownership concentration and Tobin’s Q, implying that firm value first decreases and then increases as block holders own more shares. Further investigation reveals that the negative effect of ownership concentration is weaker when a firm equity nature is non-state owned enterprises (non-SOEs) compared to state-owned enterprises (SOEs). While ownership concentration appears to be an efficient mechanism for corporate governance its effect is weaker for SOEs compared to non-SOEs. The results support privatization of SOEs, sound reforms such as the split share structure reform as crucial for the development of China’s stock market. Full article

This paper aims at identifying a validated risk model for the cryptocurrency market. We propose a stochastic volatility model with co-jumps in return and volatility (SVCJ) to highlight the role of jumps in returns and volatility in affecting Value-at-Risk (VaR) and Expected Shortfall (ES) in cryptocurrency market. Validation results based on backtesting show that SVCJ model is superior in terms of statistical accuracy of VaR and ES estimates, compared to alternative models such as TGARCH (Threshold GARCH) volatility and RiskMetrics models. The results imply that for the cryptocurrency market, the best performing model is a stochastic process that accounts for both jumps in returns and volatility. Full article

This paper investigates the determinants of dividend policy in Tanzania. The study employed a panel data of non-financial firms listed on the Dar es Salaam Stock Exchange (DSE) for the period 2008–2017. The paper reports profitability, liquidity, firm size, leverage, firm growth, previous dividend, and GDP as the major determinants of corporate dividend policy. According to the results, leverage, firm growth, and GDP are negatively related to dividend payout ratio while firm size, profitability, liquidity, and lagged dividend are positively related to dividend policy. More specifically, large-sized firms, highly profitable firms, and firms who paid dividend in previous years are more likely to consider paying dividend. However, payment of dividend will all depend on whether the firm is liquid enough to afford that. On the other hand, high-growth and leveraged firms would not probably consider paying dividend, and will, therefore, opt saving money to finance their expansion and honor their debt obligations. Following these results, corporate managers are advised to consider preferences of investors towards developing corporate dividend policy; to strive paying dividend whenever economically viable (as it signals the firm’s reputation), and to limit excessive borrowing to protect firms from getting into financial meltdown (although borrowing is considered a control tool for agency-related problems). Full article

Many kinds of research has suggested that innovation is positively linked to business performance and that it acts as an intermediary between organizational variables and financial performance measured by earnings achieved. Researchers worldwide have paid great attention to identifying and exploiting the main drivers of innovation management, which has led to many research articles that have adopted different approaches and identified several factors that are related to innovation. Nevertheless, there is some ambiguity about the critical behavioral factors for innovation. Therefore, this study aims to identify behavioral incentives, or key factors, that impact business innovation and financial stability, mainly in the field of strategic management, and to reveal the latest trend in corporate innovation policy by using bibliographic mapping. The purpose is to precisely define specific incentives that can influence the overall productivity and profitability of a business, and this list of innovation factors can be of benefit to a strategic manager in introducing or supporting innovative activities. The analysis is preceded by an in-depth study of publications from the Web of Science and Scopus databases and based on the VOS Viewer method (which is a mapping and clustering program for network data), the available keywords are analyzed, and then a list of incentives in strategic innovation is compiled. Full article

The financial services sector, particularly with respect to today’s banking industry, is aiming to make a digital transition. Sustainable reporting is a holistic new reporting approach in banking and has only become partially mandatory for the sector. Thus, this paper makes a contribution to the current analysis approach and further development of the German Sustainability Code as well as associated legal approaches. It concerns the assessment of mandatory sustainable reporting in the light of constantly changing market conditions and stricter legal requirements for stakeholder data responsibility. In specific, it focuses on a digital evolving business environment and is intended to provide an insight into the perception of the topic of digitalization in the banking sector. The assessment is based on the structure of the German Sustainability Code. Based on 113 bank reports, a multiple regression analysis of 1410 codings of the keyword ‘digital’ is carried out. The results show that banks partly and not fully address digital issues in their reporting. It transpires that the emphasis is on seven criteria, while social elements are totally ignored. The paper shows a structural inequality within sustainable bank reporting with regard to digitalization. It also shows that issues are not adequately addressed and covered in legal reporting standards and that the provision of information to stakeholders on specific issues is largely undefined. Full article

Background: Online lending has developed rapidly in China in recent years, into a typical Internet financial model. China’s online lending related issues have received widespread attention from scholars. Methods: This study used 396,634 order data-points (935,037 original order data-points) from the Renren Loan website since its inception in January 2017. We used ordinary least squares (OLS) regression to study the problem of geographical discrimination in online lending in China, and we conducted two robust tests. Results: Studies have shown that significant geographical discrimination exists in China’s online lending market. From the perspective of the lender, different investment intentions exist for borrowers from various regions, thereby leading to variations in the success rates of loans. From the perspective of the borrower, the belief exists that borrowers from different regions will have varying interest rates because of the effect of geographical discrimination. Conclusion: We believe that geographical discrimination is due to the effects of the economic, financial, educational, and ethnic conditions of the borrower’s location on willingness to invest and the success rate of borrowing. However, borrowers’ self-discrimination is primarily related to economic and ethnic differences among provinces. Full article