Browsing by Author "Le TDQ"

Now showing 1 - 17 of 17
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    A cross-country analysis on diversification, Sukuk investment, and the performance of Islamic banking systems under the COVID-19 pandemic
    (Elsevier Ltd, 2022-03-18) Le TDQ; Ho TH; Nguyen DT; Ngo T
    This study investigates the relationship between diversification and Islamic banking systems' performance under the impact of the COVID-19 turmoil using a sample of 24 countries from 2013Q4 and 2020Q4. The findings indicate that the performance of Islamic banking systems is positively associated with sectoral diversification of Shari'ah-compliant financing and income diversification. Although this study confirms a negative impact of the COVID-19 shock, income diversification is found to mitigate the adverse effect of this health crisis on the performance of the Islamic banking systems. In which, Sukuk investment is considered an essential channel for pursuing this diversification strategy. Therefore, this research has important implications for policymakers, managers, and academics.
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    A Dataset for the Vietnamese Banking System (2002–2021)
    (MDPI (Basel, Switzerland), 2022-09) Le TDQ; Ho TH; Ngo T; Nguyen DT; Tran SH; Guijarro F
    This data article describes a dataset that consists of key statistics on the activities of 45 Vietnamese banks (e.g., deposits, loans, assets, and labor productivity), operated during the 2002–2021 period, yielding a total of 644 bank-year observations. This is the first systematic compilation of data on the splits of state vs. private ownership, foreign vs. domestic banks, commercial vs. policy banks, and listed vs. nonlisted banks. Consequently, this arrives at a unique set of variables and indicators that allow us to capture the development and performance of the Vietnamese banking sector over time along many different dimensions. This can play an important role for financial analysts, researchers, and educators in banking efficiency and performance, risk and profit/revenue management, machine learning, and other fields. Dataset: https://doi.org/10.7910/DVN/RIWA3B Dataset License: CC0
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    Airfares data in New Zealand domestic aviation market
    (MDPI (Basel, Switzerland), 2021-08-09) Ho TH; Nguyen DT; Ngo T; Le TDQ; Dray L
    Price competition has been a growing concern of worldwide researchers and managers. In the aviation market, especially with the help from e-commerce platforms such as Expedia, TripAdvisor, and SkyScanner, airfares are now available to customers in the easiest and quickest way. It thus allows airlines to match their fares immediately and simultaneously upon any changes of their rivals, given that customer’ choices are made with regard to their incomes. This study provides a dataset on domestic airfares in New Zealand that could be useful for future studies in the fields of marketing, business and economics, transportation and aviation, or management. The dataset covers 12 trunk routes and 40 secondary routes in New Zealand from 19 September 2019 to 18 December 2019, a total of 90 days. It provides a rich dataset of more than 162,000 observations regarding the airfare, departure time, arrival time, flight duration, airline, departure airport, arrival airport, transiting airport, and so on. There are possibilities to extend the dataset (e.g., in terms of flying distance, airport characteristics, and airline characteristics) to make it be valuable for future study.
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    Bank performance during the COVID-19 pandemic: does income diversification help?
    (Taylor and Francis Group, 2023-06-11) Ho TH; Nguyen DT; Luu TB; Le TDQ; Ngo TD
    The Covid-19 pandemic’s economic effect led to tighter credit standards and a decline in the market for many types of loans. With a rich database of 1,231 banks in 90 countries from 2018Q1 to 2021Q4, we conducted a timely, broad-based international study to investigate whether non-interest activities, serving as a shock absorber, can promote bank performance before and during the Covid−19 pandemic. When using a dynamic panel data model with a system GMM estimator, our findings indicate that banks should be encouraged to diversify their income sources to reduce the adverse effects of the shock. With comparative analysis, we also found heterogeneous effects of income diversification on bank performance by its components, in pre-Covid−19 and during-Covid−19 periods, in both developed and developing countries. This study implies that bank managers should diversify income sources, especially fee-based services, trading activities, and foreign currency, to foster financial performance and stability during exogenous shocks.
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    Digital Credit and Its Determinants: A Global Perspective
    (MDPI (Basel, Switzerland), 2023-12) Le TDQ; Ngo T; Nguyen DT; Ftiti Z
    Digital credit has gained much attention from academic researchers, practitioners, and policymakers worldwide. This study empirically evaluates the determinants of digital credit using cross-country data from 2013 to 2019. The conventional ordinary least square regression with fixed effects estimator is used to investigate the factors affecting the growth of digital credit. Our study highlights that the regulatory frameworks of anti-money laundering and terrorist financing, the economy’s innovative capacity, and financial development are significant factors affecting the development of digital credit, especially fintech credit. However, the findings indicate that only the innovation capacity is more critical to the expansion of bigtech credit. Nonetheless, our results provide some important implications for market participants and the authorities in promoting digital credit. Accordingly, this study contributes to the literature on the growth of digital credit when considering the critical roles of money laundering and terrorist financing frameworks and innovation capacity.
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    Efficiency in Vietnamese banking: A meta-regression analysis approach
    (MDPI (Basel, Switzerland), 2021-09) Ho TH; Nguyen DT; Ngo T; Le TDQ; Balvers R; Boubaker S
    This study explains the differences and variances in the efficiency scores of the Vietnamese banking sector retrieved from 27 studies published in refereed academic journals under the frame-work of meta-regression analysis. These scores are mainly based on frontier efficiency measurements, which essentially are Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) for Vietnamese banks over the period of 2007–2019. The meta-regression is estimated by using truncated regression to obtain bias-corrected scores. Our findings suggest that only the year of publication is positively correlated with efficiency, whilst the opposite is true for the data type, and sample size.
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    Efficiency of the Islamic Banking Sector: Evidence from Two-Stage DEA Double Frontiers Analysis
    (MDPI (Basel, Switzerland), 2023-03) Mai XTT; Nguyen HTN; Ngo T; Le TDQ; Nguyen LP; Ftiti Z
    This paper examines the multi-dimensional efficiency of the Islamic banking sector and its determinants, including the impacts of the COVID-19 pandemic. To do that, we use a novel approach of two-stage data envelopment analysis (DEA) double frontiers to evaluate the overall efficiency of 79 Islamic banks across 16 countries (2005–2020). In the first-stage analysis, we found that the Islamic banking sector experienced an increasing trend in its efficiency and performance, even during the recent pandemic, although it varied across banks and countries. Our empirical results of the second-stage analysis further showed that economic development can help countries both withstand the recent pandemic and improve the efficiency and performance of their (Islamic) banking system. This, in turn, could help speed up the recovery process of the global economy. Since there is evidence that the Islamic banking sector is resilient to the COVID-19 pandemic, it is expected that this sector will be a driving force of such recovery.
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    Fintech Credit and Bank Efficiency: International Evidence
    (MDPI (Basel, Switzerland), 2021-08-17) Le TDQ; Ho TH; Nguyen DT; Ngo T; Boubaker S
    The expansion of fintech credit around the world is challenging the global banking system. This study investigates the interrelationships between the development of fintech credit and the efficiency of banking systems in 80 countries from 2013 to 2017. The findings indicate a two-way relationship between them. More specifically, a negative relationship between bank efficiency and fintech credit implies that fintech credit is more developed in countries with less efficient banking systems. Meanwhile, a positive impact of fintech credit on the efficiency of banking systems suggests that fintech credit may serve as a wake-up call to the banking system. Therefore, fintech credit should be encouraged by the authorities around the world.
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    Government intervention and stock price returns during covid-19 pandemic: evidence from an emerging market
    (Taylor and Francis Group, 2024-07-10) Le TDQ; Nguyen DT; Ho TH; Ngo T
    As the impact of the COVID-19 pandemic on the stock market returns has received much attention from researchers and practitioners, the evidence on the government invention on stock market returns in frontier markets in the Asia-Pacific is very scanty. This study first revisits the relationship between COVID-19 and stock market returns using large data from 23/01/2020 to 28/05/2021. Second, this study examines how the Vietnamese stock market reacts to government actions during the COVID-19 outbreaks. Using the fixed effects model, the findings show stock market returns are negatively affected by the COVID-19 pandemic. Although most sectors face a sharp decline in returns, positive returns are found in some sectors such as Energy, Healthcare, and Utilities, which is the opportunities for investors amid the pandemic. When observing the effect of government intervention, the stock market reacts to it negatively. The same is true for the announcements of social distancing and economic support measures. However, the stock market responds to containment and health measures with positive returns. More importantly, social distancing policy measures further enlarge the negative impact of COVID-19 on stock market returns–thus the government should take these measures with caution. The results also emphasize that economic support policy measures benefit indirectly via the channel of decreasing new infections. As a whole, the study offers some suggestions for the best and most proactive policy actions that governments, market participants, and investors in other emerging markets with similar financial institutions to Vietnam’s should use in the event of exogenous shocks like the COVID-19.
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    ICT as a Key Determinant of Efficiency: A Bootstrap-Censored Quantile Regression (BCQR) Analysis for Vietnamese Banks
    (MDPI (Basel, Switzerland), 2022-06-16) Le TDQ; Ngo T; Ho TH; Nguyen DT; Boubaker S
    There is evidence that ICT developments can improve bank efficiency and performance. Previous studies often employ data envelopment analysis (DEA) to first examine bank performance and then use a second-stage regression to explain the influences of other environmental factors, including ICT, on such efficiency. Since DEA efficiency scores are bounded between the (0, 1] intervals, Tobit and truncated regressions are commonly used in this stage. However, none has accounted for the skewness characteristic of DEA efficiency. This paper applied a bootstrap-censored quantile regression (BCQR) approach to triply account for the issues of a small sample (via bootstrap), bounded intervals (via censored regression), and skewness (via quantile regression) in DEA analysis. We empirically examined the efficiency and performance of 27 Vietnamese commercial banks in the 2007–2019 period. The efficiency scores derived from our first stage revealed that they are skewed and thus, justify the use of the BCQR in the second stage. The BCQR results further confirmed that ICT developments could enhance bank efficiency, which supports the recent policy to restructure the Vietnamese banking sector toward innovation and digitalization. We also examined the impacts of other factors such as bank ownership, credit risk, and bank size on efficiency.
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    Intellectual capital–bank efficiency nexus: evidence from an emerging market
    (Cogent OA, 2022-10-03) Le TDQ; Ho TNT; Nguyen DT; Ngo T; McMillan D
    This paper investigates the effect of intellectual capital (IC) and its components on the efficiency of Vietnamese commercial banks from 2007 to 2019 using the two-step Data Envelopment Analysis approach. Banks’ efficiency scores are firstly estimated, while the relationship between IC and bank efficiency is examined in the second stage. The results indicate a positive relationship between IC and banks’ pure technical efficiency, allocative efficiency, and total cost efficiency. When observing the effect of IC decompositions, the findings show that only human capital enhances all types of bank efficiency. Furthermore, bank size and liquidity risk are significant drivers of Vietnamese bank efficiency. Therefore, our findings suggest that bank managers should focus on intellectual capital, particularly human capital, to strengthen bank efficiency further.
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    Managing bank performance under COVID-19: A novel inverse DEA efficiency approach
    (John Wiley and Sons Ltd on behalf of International Federation of Operational Research Societies, 2023-09) Boubaker S; Le TDQ; Ngo T
    The evolution of the COVID-19 pandemic is highly unpredictable; however, its impacts are limited to neither a single sector nor a single country. This study evaluates the performance and efficiency of 49 Islamic banks across 10 countries during 2019-2020 to assess how those banks can preserve their performance and remain resilient in the aftermath of the COVID-19 pandemic. Using the conventional inverse data envelopment analysis (InvDEA) approach, we show that because of reductions in their outputs, 31 out of the 49 banks studied would need to reduce their inputs so that their efficiency can remain unchanged. However, we show that only 10 banks need to make such adjustments to maintain their efficiency levels using our proposed InvDEA efficiency model. The adjustment for those 10 banks would help in reducing more inputs, suggesting more cost savings, and improving the overall efficiency of the examined banks, compared with the other 31 banks.
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    Predicting the performance of MSMEs: a hybrid DEA-machine learning approach
    (Springer Science+Business Media, LLC, 2023-02-14) Boubaker S; Le TDQ; Ngo T; Manita R
    Micro, small and medium enterprises (MSMEs) dominate the business landscape and create more than half of employment worldwide. How we can apply big data analytical tools such as machine learning to examine the performance of MSMEs has become an important question to provide quicker results and recommend better and more reliable solutions that improve performance. This paper proposes a novel method for estimating a common set of weights (CSW) based on regression analysis for data envelopment analysis (DEA) as an important analytical and operational research technique, which (i) allows for measurement evaluations and ranking comparisons of the MSMEs, and (ii) helps overcome the time-consuming non-convexity issues of other CSW DEA methodologies. Our hybrid approach used several econometric and machine learning techniques (such as Tobit, least absolute shrinkage and selection operator, and Random Forest regression) to empirically explain and predict the performance of more than 5400 Vietnamese MSMEs (2010‒2016), and showed that the machine learning techniques are more efficient and accurate than the econometric ones. Our study, therefore, sheds new light on the two-stage DEA literature, especially in terms of predicting performance in the era of big data to strengthen the role of analytics in business and management.
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    Recognizing CEOs and Chairmen’s personality and bank performance: new insights from signature analysis
    (Taylor and Francis Group on behalf of the Chinese Economic Association – UK, 2024-03-30) Le TDQ; Ho TH; Ngo T; Luu TB
    This study first uses graphology to examine the signatures of the CEOs and Chairmen of 26 commercial banks in Vietnam (2007-2020) to predict their personalities following the Big Five Personality model. Such personalities are used as a key explanatory variable to explain bank performance. Our findings extend the entrenchment theory that bank profitability is positively affected by the same personality traits of separate CEOs and Chairmen. More specifically, the findings indicate a positive relationship between bank profitability and conscientious and extraverted CEOs and Chairmen. When observing bank ownership, these two categories of personality traits are more critical to listed banks. As the first attempt to investigate whether separate CEO and chairman with the same characteristics may affect bank performance, our study will add more evidence to the existing literature about the relationship between corporate governance and bank profitability.
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    Revisiting the Quiet-Life Hypothesis in the Banking Sector: Do CEOs’ Personalities Matter?
    (MDPI (Basel, Switzerland), 2024-03-20) Le TDQ; Nguyen DT; Ngo T; Bolton B
    This study investigates the relationship between market power and bank profitability, and the impacts of CEOs’ personality traits, in Vietnam from 2007 to 2020. The analysis of CEOs’ signatures is used to determine their characteristics. The findings support the quiet-life hypothesis, which suggests that the negative relationship between market power and bank profitability may depend on CEOs’ characteristics. More specifically, the results show that conscientious CEOs with market power tend to reduce bank profitability, and this effect is more pronounced for foreign-owned banks. Therefore, our findings have critical implications for bank management.
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    The environment, social and governance (ESG) activities and profitability under COVID-19: evidence from the global banking sector
    (Emerald insight, 20/10/2022) Yuen MK; Ngo DT; Le TDQ; Ho TH
    Purpose This study investigated the impacts of the environment, social and governance (ESG) and its components on global bank profitability considering the COVID-19 outbreak. Design/methodology/approach This study used a system generalized method of moments (GMM) proposed by Arellano and Bover (1995) to investigate the relationship between ESG and bank profitability using an unbalanced sample of 487 banks from 51 countries from 2006 to 2021. Findings The findings generally found that ESG activities may reduce bank profitability, thus supporting the trade-off hypothesis that adopting ESG standards could increase bank costs while lowering profitability. In addition, there is a U-shaped relationship between ESG and bank profitability, suggesting that ESG activities can help improve bank performance in the long term. Such an effect is the first time observed in the global banking sector. This study’s results are robust across different models and settings (e.g., developed vs. developing countries, different levels of profitability, and samples with vs without US banks). Practical implications This study provides empirical evidence to support many countries' sustainable development policies. It also provides empirical incentives for bank managers to be more ESG-oriented. Originality/value This study provides a better understanding of the roles of ESG activity and its components in the global banking system, considering the recent crises.
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    The trade-off frontier for ESG and Sharpe ratio: a bootstrapped double-frontier data envelopment analysis
    (Springer Science+Business Media, LLC, 2023-07-24) Boubaker S; Le TDQ; Manita R; Ngo T
    The trade-off between the returns and the risks associated with the stocks (i.e., the Sharpe ratio, SR) is an important measure of portfolio optimization. In recent years, the environmental, social, and governance (ESG) has increasingly proven its influence on stocks’ returns, resulting in the evolvement from a two-dimensional (i.e., risks versus returns) into a multi-dimensional setting (e.g., risks versus returns versus ESG). This study is the first to examine this setting in the global energy sector using a (slacks-based measures, SBM) ESG-SR double-frontier double-bootstrap (ESG-SR DFDB) by studying the determinants of the overall ESG-SR efficiency for 334 energy firms from 45 countries in 2019. We show that only around 11% of our sampled firms perform well in the multi-dimensional ESG-SR efficient frontier. The 2019 average (in)efficiency of the global energy sector was 2.273, given an efficient level of 1.000. Besides the differences in the firm’s input/output utilization (regarding their E, S, G, and SR values), we found that the firm- (e.g., market capitalization and board characteristics) and country-level characteristics (e.g., the rule of law) have positive impacts on their ESG-SR performance. Such findings, therefore, are essential not only to the (responsible) investors but also to managers and policymakers in those firms/countries.