The article deals with modelling of two-dimensional financial data set using Weibull distribution extended to two-dimensional setting. The generalization in two dimensions is not direct, it goes through representation of one-dimensional asymmetric Laplace distribution. The characteristics of the...

The article deals with modelling of two-dimensional financial data set using Weibull distribution extended to two-dimensional setting. The generalization in two dimensions is not direct, it goes through representation of one-dimensional asymmetric Laplace distribution. The characteristics of the...

This paper presents a comprehensive simulation study on estimating parameters for the popular Heston stochastic volatility model. Leveraging high-frequency data, we explore, in a data-science type exercise, various spot-volatility estimation and sampling techniques, improving existing methods to...

Contrary to claims in studies on financial economics, a sparse database often obscures the identification of parameters in macroeconomic models. These identification problems originate from the poorly defined mapping between a structural model and reduced-form parameters. Hence, researchers rely...

Structural estimation in economics often makes use of models formulated in terms of moment conditions. While these moment conditions are generally well-motivated, it is often unknown whether the moment restrictions hold exactly. We consider a framework where researchers model their belief about...

This study provides new panel evidence on the effects on climate risk on financial stability in the European banking sector using yearly data over the period 2000-2021. More specifically, the impact of a number of climate risk indices on the Z-score (capturing the probability of default of a...

This study aims to analyze the determinants of bank profitability in Angola by employing panel data econometric models, specifically, the Generalized Method of Moments (GMM), to assess the impact of internal and external factors on the financial indicators ROE, ROA, and NIM for the period 2016...

The Export-Led Growth Hypothesis (ELGH) posits that expanding exports drive long-run economic growth. While this has held true for several Asian economies, its effectiveness across African regional blocs remains underexplored. This study investigates the validity of ELGH in the East African...

The aim of this paper is to investigate the relationship between local banking and prosperity at the municipal level in Italy from 2011 to 2021. The latter variable is measured using an index proposed by Sen (1976). The analysis is based on panel regressions including a measure of local banking...

This study investigates the impacts of fintech adoption, financial inclusion, and financial integration on income inequality in European countries. Utilising panel data from European nations and employing Generalised Method of Moments (GMM) regression models, we examine the relationships between...

Identifying populations at risk of deprivation is crucial for effective policy design. Yet, much existing research focuses on single aspects, such as income or material deprivation, and often abstracts from deprivation dynamics. This study addresses this gap by analyzing the dynamics and...

Evidence on how energy poverty persistence and vulnerability to key factors are distributed across different population groups remains scarce. This paper seeks to bridge this gap by analyzing the dynamics and determinants of energy poverty within population clusters. The significance of the...

We propose the double robust Lagrange multiplier (DRLM) statistic for testing hypotheses specified on the minimizer of the population continuous updating objective function. The (bounding) χ2 limiting distribution of the DRLM statistic is robust to both misspecification and weak identification,...

We develop a practical way of addressing the Errors-In-Variables (EIV) problem in the Generalized Method of Moments (GMM) framework. We focus on the settings in which the variability of the EIV is a fraction of that of the mismeasured variables, which is typical for empirical applications. For...

Governments across the globe are implementing stricter environmental policies to combat climate change and promote sustainability. This study contributes to the growing literature exploring the influence of environmental policy on skill-biased employment across various occupations. Specifically,...

In the last few decades, the study of ordinal data in which the variable of interest is not exactly observed but only known to be in a specific ordinal category has become important. In Psychometrics such variables are analysed under the heading of item response models (IRM). In Econometrics,...

This study examines the impact of Hofstede's six cultural dimensions and institutional quality on financial development in the periods preceding and following the global financial crisis. The study analyzes data from 33 countries spanning 2001 to 2021 using a combination of OLS, two-stage GMM,...

This paper studies the limiting behavior of the test for instrument exogeneity in linear models when there is uncertainty about the strength of the identification signal. We consider the test for conditional moment restrictions with an expanding set of constructed instruments. We establish the...

This paper studies a dynamic ordered logit model for panel data with fixed effects. The main contribution of the paper is to construct a set of valid moment conditions that are free of the fixed effects. The moment functions can be computed using four or more periods of data, and the paper...

Using both GMM estimation and the Bayesian approaches during the period of 2007 to 2021 to examine the impacts of liquidity creation (LC) on banking stability (Bank Stability-BS) on the sample of 53 banks in 5 Southeast Asian countries (ASEAN-5), the author has become a pioneer that carries out...

This study investigates how energy consumption and foreign direct investment (FDI) influenced economic growth in BRICS+ countries from 1990 to 2021, using a two-step System GMM estimator to address endogeneity and dynamic effects. While the results show that both energy and FDI positively...

This study investigates the nexus between leverage and financial performance in a sample of 54 Moroccan agricultural small- and medium-sized enterprises (SMEs) over the period of 2017-2022. Drawing on trade-off, pecking order, and agency theories, this analysis examines whether different levels...

Using a dynamic panel dataset of 150 countries for the period of 2006-2018 and a twostep system GMM estimation model, this paper shows that natural resources have a positive effect on economic development while holding corruption constant. Our findings support the notion that natural resources...

The empirical outcomes of previous studies examining the relationship between economic growth and socio-economic indicators have been inconclusive and conflicting. To further probe into the study area, the current research employed a dynamic panel model estimated via three robust dynamic panel...

The study aims to examine the determinants that affect the firm's performance in the service industries. Moreover, the study examines step-by-step how to choose the best model among the various panel data models.After employing the secondary data of the service industry firms from the CRIBIS...

A Fibonacci-type probability distribution provides the probabilistic models for establishing stopping rules associated with the number of consecutive successes. It can be interpreted as a generalized version of a geometric distribution. In this article, after revisiting the Fibonacci-type...