This article presents new insights on the evolving contribution of di!erent types of investments to the growth in sales of US non"nancial listed "rms during the 1979-2018 period. By means of quantile regressions it is observed an increasing contribution over time of intangible investment...

Quantile regression provides a way to estimate a driver's risk of a traffic accident by means of predicting the percentile of observed distance driven above the legal speed limits over a one year time interval, conditional on some given characteristics such as total distance driven, age, gender,...

This paper uses three methodologies for measuring the existence of systemic risk in the Colombian banking system. The determination of its existence is based on implementing three systemic risk measures widely referenced in academic works after the subprime crisis, known as CoVaR, MES and SRISK....

The main focus of the study is to determine the financial uncertainty while examining the Sukuk bonds prices, Sukuk bond and global emerging market indices returns dynamics. The study, with a time period ranging from 2017 to 2020, applies the quantile regression technique. The study findings...

The paper applies quantile regression technique, specifically, quantile vector autoregression to stochastic debt sustainability analysis (DSA) and the construction of public debt fan charts. Stochastic approach to DSA typically uses standard ordinary least squares vector autoregression (OLS VAR)...

The main focus of the study is to determine the financial uncertainty while examining the Sukuk bonds prices, Sukuk bond and global emerging market indices returns dynamics. The study, with a time period ranging from 2017 to 2020, applies the quantile regression technique. The study findings...

Despite the booming development of financial technology (fintech) in China, little academic literature has explored the effects of fintech on poverty. This paper explores the effects of fintech on poverty alleviation in the provinces of China. The sample includes data for 31 provinces for the...

The ‘paradox of progress’ is an empirical regularity that associates more education with larger income inequality. Two driving and competing factors behind this phenomenon are the convexity of the ‘Mincer equation’ (that links wages and education) and the heterogeneity in its returns, as...

Quantile regression provides a way to estimate a driver's risk of a traffic accident by means of predicting the percentile of observed distance driven above the legal speed limits over a one year time interval, conditional on some given characteristics such as total distance driven, age, gender,...

This paper uses three methodologies for measuring the existence of systemic risk in the Colombian banking system. The determination of its existence is based on implementing three systemic risk measures widely referenced in academic works after the subprime crisis, known as CoVaR, MES and SRISK....

Overlapping portfolios constitute a well-recognised source of risk, providing a channel for financial contagion induced by the market price impact of asset deleveraging. We introduce a novel method to assess the market price impact on a security-by-security basis from historical daily traded...

We consider a new dataset that provides a description of the population of financial equity flows between developed countries from 2001 to 2018. We follow the standard practice of controlling for pull and push factors as well as gravity-style variables, while also accounting for the business...

While joining farmer cooperatives has been identified as a way for farmers, especially small farmers, to overcome their limitations in the marketplace and increase their income, this paper presents an analytical framework for examining how farmer cooperative may increase farmer income in rural...

Despite the booming development of financial technology (fintech) in China, little academic literature has explored the effects of fintech on poverty. This paper explores the effects of fintech on poverty alleviation in the provinces of China. The sample includes data for 31 provinces for the...

This paper investigates the degree of dispersion in the loan pricing of commercial banks and its association with competitive conditions in the banking industry of a large emerging economy. To quantify the lending rate variability in consumer loans, we utilize a new indexation mechanism...

We propose a simple three-factor pricing model, consisting of a local stock market index, a global REIT market index, and a global stock market index, to examine the dependence structure of conditional volatilities in the real estate investment trust (REIT) market from 11 countries over the...

We characterise the probability distributions of various categories of gross capital flows conditional on information contained in financial asset prices in a panel of emerging market economies, with a focus on "tail" events. Our framework, based on the quantile regression methodology, allows...

We analyze the relationship of the distribution of future GDP growth and accumulation of household debt in Finnish macroeconomic data from 1980 to 2019. We find clear evidence that exuberant accumulation of household debt is related to the thickening of the left tail of the future growth...

This paper adds to our understanding of the causes of income inequality across nations by examining the influence of different aspects of gender equality or female empowerment. Whereas the economics of income inequality has been an area of active academic inquiry, the role of gender equality has...

This paper studies how variations in tax rates and profitability affect the (unconditional) quantiles of the distribution of the leverage of European foreign owned subsidiaries in the presence of unobserved company characteristics, possibly correlated with their observable dimensions. To achieve...

We analyze output growth risk with respect to financial conditions across U.S. manufacturing industries. Using a multi-level quantile regression approach, we find strong heterogeneity in growth risk, particularly between the more vulnerable durable goods sector and the more resilient nondurable...

Growth at Risk (GaR) methodology developed by Adrian et al. (2019) has been of special interest by policymakers since it provides a measure of the relationship among macrofinancial variables. GaR requires estimating a set of predictive quantile regressions (QR) where future economic activity...

Using data for the Ukrainian economy, we applied and adapted the growth-at-risk (GaR) framework to examine the association between financial conditions, credit and sectors' activity, and external conditions and the probability distribution of GDP growth in Ukraine. We applied CSA and PCA...

This study empirically presents evidence of nonlinearity and heterogeneity relation between intellectual capital and risk-taking for the Vietnamese banking system. We used quantile regression methods on a data set of 30 Vietnamese banks from 2007 to 2019. The results showed that bank insolvency...

We estimate the impact of macroeconomic risk factors on shipping stock returns, using a quantile regression (QR) model. We regress the excess return of a portfolio for the container, dry bulk, chemical/gas, oil tanker, and diversified shipping sectors on the world market portfolio excess return,...

This paper addresses stock market volatility in Germany between 1991 and 2018. Through a GARCH model with leverage term, an estimation of volatility in the DAX is provided. Such estimation is then plugged into a quantile regression model where potential economic determinants are analyzed. The...

International trade and urbanization are increasing at an unprecedented rate in sub-Saharan Africa (SSA). The region has also witnessed a fair share of economic growth, with minimal investment and consumption of renewables. Therefore, this study investigates the influence of economic growth,...

Quantile regression and quantile treatment effect methods are powerful econometric tools for considering economic impacts of events or variables of interest beyond the mean. The use of quantile methods allows for an examination of impacts of some independent variable over the entire distribution...

This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting in ation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions for forecasting in ation with the ability of quantile regression to...

In this study, we investigate the estimation and inference on a low-dimensional causal parameter in the presence of high-dimensional controls in an instrumental variable quantile regression. Our proposed econometric procedure builds on the Neyman-type orthogonal moment conditions of a previous...

This paper studies estimation and inference for linear quantile regression models with generated regressors. We suggest a practical two-step estimation procedure, where the generated regressors are computed in the first step. The asymptotic properties of the two-step estimator, namely,...

I propose a new model, conditional quantile regression (CQR), that generates density forecasts consistent with a specific view of the future evolution of some variables. This addresses a shortcoming of existing quantile regression-based models, for example the at-risk framework popularised by...

Shadow banking is a term that came out of the financial crisis of 2007-2009. There is a belief that shadow banking was one of the crisis reasons. Because the excessive expansion of shadow banking endangers the financial stability of countries, this paper examines the impact of shadow banking on...

The instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen (2005)) is a popular tool for estimating causal quantile effects with endogenous covariates. However, estimation is complicated by the nonsmoothness and nonconvexity of the IVQR GMM objective function. This paper...

Most studies on the determinants of poverty do not consider that the relative importance of each of these determinants can vary depending on the degree of poverty suffered by each group of poor people. For Mexico's case, the studies carried out so far do not contemplate this approach, even...

Electronics companies are facing global economic and trade competition. As patents can form an endowment shield that protects the development of corporate capabilities, companies are actively increasing their number of patents and attaching importance to technological research and development...

This paper compares the net fiscal position (NFP) of immigrants versus natives using data from the European Survey on Living Conditions (EU-SILC) for the period 2007-2015. By employing a quantile regression approach, we find that European and non-European migrants have a different fiscal...