This study investigated the effects of financial literacy, self-control, and demographic determinants on individual performance behavior during Lebanese crisis period between 2019 2021. To best our knowledge, this may be first that compares for different generations, genders, marital statuses, education income levels. do so, we conducted a comprehensive survey 328 individuals performed logistic regression analysis. The empirical results show an individual’s are positively affected by...

Extant literature suggests that the banking sector’s sustainability is achievable by minimizing risk factors, in particular, credit (CR). Despite prior studies, there are fewer attempts to considerably probe role of country governance settings managing CR and ultimately achieving sustainability. Therefore, this study aims test nexus for sector operating BRICS developing economies. Specifically, research explore whether has a moderator between exposure environments factors. To achieve these...

The purpose of this study was to compare the Lebanese female-owned small firms and male-owned with respect firm's business performance, owner's human capital characteristics. Based on a sample 30 (18 12 female owned firms), which operate in different regions we tried demonstrate that gender has an impact financial performance. A descriptive methodology followed, information collected through self administered questionnaire data analyzed SPSS. Our findings showed strong evidence differ from...

During the COVID-19 lockdown, typical bank in Middle East lost liquidity due to deposit drains and experienced increases nonperforming loans. The loss of was a supply shock, while increase loans demand shock. Corporate governance board’s oversight top management’s implementation strategies reduce these shocks. Two corporate measures include political concentration ownership presence independent directors on board directors. Politically connected shareholders can ensure continuous flow...

Purpose The purpose of this study is to discover the motivating factors for cryptocurrency investment during an economic crisis in MENA region, with reference 2019–2022, Lebanon. Design/methodology/approach authors used t -test, and logistic regressions on a sample 254 Lebanese investors differentiate between investors, non-investors. Linear subsample determined that explained increasing cash cryptocurrencies. Data were collected from Lebanon, which could limit generalization research...

The paper analyzed the function of Blockchain Technology (BT) in Circular Economy (CE) to improve performance Small and Medium-sized Enterprises (SMEs). It presents a Sustainable Business (SCB) model that utilizes BT SMEs. A closed-ended questionnaire survey was conducted gather cross-sectional data from 275 total 400 questionnaires were issued, which 285 received. CE method Supply Chain Management (CSCM) provides both ecological economic advantages organizations. advent Industry 4.0 era has...

This paper examines whether ownership concentration and certain type of can affect the financial performance Lebanese banks. It uses longitudinal data from largest 35 banks over period 2009–2014 employs panel regression model. The empirical results show that shareholders play an important role in area corporate governance In particular, bank is positively associated with concentration, managerial ownership, foreign institutional ownerships; however, family not related to performance. Also,...

During the COVID-19 lockdown, typical bank in Middle East lost liquidity due to deposit drains and experienced increases nonperforming loans. The loss of was a supply shock, while increase loans demand shock. Corporate governance board's oversight top management's implementation strategies reduce these shocks. Two corporate measures include political concentration ownership presence independent directors on board directors. Politically connected shareholders can ensure continuous flow...

Objective: This article explores the financial crisis in Lebanon, focusing on its theoretical background and empirical causes. Its goal is to identify economic reasons behind propose potential solutions.
 
 Method: research uses a quantitative analysis based World Bank data related six key factors (Foreign Direct Investment, exports, imports, M3 Money supply, debt service, inflation) their connection GDP per capita, representation of crisis.
 Result: The study reveals one-way...

The revival of Lebanon involves regaining trust in its banking system. Starting by highlighting the main sector’s inefficiencies Lebanon, as well bad investment practices that have led to current financial crisis, a full business model could restore confidence Lebanese sector, and increase profitability foreseeable future is proposed. This new structure tackles three areas including, cost reduction, liabilities management, income generation, suggested with evidence on how this play major...

By integrating agency, stewardship and resource–dependency perspectives, this paper associated three characteristics of the board directors - outside directors, insiders' equity ownership leadership duality (Executive Officer also being Chairman Board) with bank's financial performance in Lebanon. Using a panel model, after controlling for endogeneity problems, we examined 54 listed unlisted banks from 2005 to 2010. Our results implied that presence on have no statistical impact performance....

Purpose This study aims to investigate what extent the predictability of standard and poor’s 500 (S&P 500) price levels is enhanced by investors’ sentiments extracted from social media content, specifically platform X. Design/methodology/approach Two recurrent neural network (RNN) models are developed. The first RNN model merely based on historical records technical indicators. In addition variables included in model, second comprises outputs sentiment analysis, performed using TextBlob...

This paper aims to examine what extent can investors’ sentiments extracted from social media content, specifically Twitter, improve the predictability of S&P 500 price levels. Two Recurrent Neural Network models were built; first one is solely based on historical records and technical indicators. The second includes same variables as model, along with outputs sentiment analysis, performed using TextBlob library. While assessing performance both created, model hatched better outcomes,...

The computation of fair values for exotic options often necessitates complex pricing techniques, which remain sparsely addressed in academic literature. Predominantly, the assessment value vanilla relies on methodologies such as Black-Scholes model or Monte Carlo simulations. This study proposes an innovative, dynamic approach to pricing, leveraging artificial intelligence conjunction with Heston and a simulation engine. aims furnish estimates prices Barrier Asian options. To enhance...