Journal of Economic Asymmetries最新文献

This paper investigates the asymmetric, time, and frequency-based volatility spillovers in global IT industries. To this end, we introduce a new Wavelet-Time Varying Parameter-VAR (W-TVP-VAR) approach to compute connectedness combined with the asymmetrical connectedness of (Barndorff-Nielsen et al., 2010) and (Baruník et al., 2016, 2017) at different frequencies. Daily stock prices of the IT sector in thirteen countries representing the top technologically advanced countries ranging from January 15, 2016, until June 24, 2022, are used. The empirical results show that the aggregate volatility is slowly transmitted across markets with an effect lasting more than twenty days. The result also supports the presence of asymmetrical transmission as downside spillovers dominate upside spillovers, regardless of the frequency. Furthermore, the time-varying spillover shows the dominance of downside spillovers in various crisis periods, especially during the pandemic. The time and frequency-based spillover indicate that the overall spillover increased during the recent COVID-19 pandemic crisis period, which is mostly driven by the short-term, suggesting that panic decisions and herd behavior result in extreme connectedness. These findings are helpful to participants and policymakers.

This article investigates whether oil price shocks have an asymmetric impact on certain key macroeconomic variables, viz., industrial output, inflation, exchange rates, and stock returns in India. The empirical evaluation of this issue involves using recently developed slope and impulse response-based symmetry tests advocated by Kilian and Vigfusson (2011a). The evidence based on Wald test indicate that there is asymmetry and nonlinearity in the response of macroeconomic variables to oil price shocks. The evidence obtained from impulse responses suggests that most of the macroeconomic variables asymmetrically respond to small and large oil price shocks over different forecast horizons. However, electricity production, nominal effective exchange rate, stock return and inflation measure based on wholesale price index respond symmetrically to oil price shocks using the slope test. These findings are found to be robust to alternative lag structures utilized in the estimation.

Asymmetric information in digital financial markets is increasingly becoming a severe problem in the digital era. Consumers of digital finance suffer from asymmetric information compared to financial agents due to the complexity of services and their passive position in collecting, analyzing, and processing information. This study offers measures to improve the practice of digital financial consumer protection (DFCP) through quantitative analysis, using a sample of 135 countries from 2014 to 2018. This manuscript indicates that two groups of factors positively affect financial consumer protection: market size (openness) and technological readiness. The results show that technological improvement and economic openness factors worldwide are seen as tremendous opportunities in the digital age, rather than challenges, for strengthening financial consumer protection. Governments thus need to adopt policies that focus on absorbing new technology, encouraging innovation, and opening the economy instead of controlling actions to protect their citizens.

Governments implemented countermeasures to mitigate the spread of the COVID-19 virus. This had a severe effect on the economy. We examine convergence patterns in the evolution of COVID-19 deaths across countries. We aim to investigate whether countries that implemented different measures managed to limit the number of COVID-19 deaths. We extend the most recent macro-growth convergence methodology to examine convergence of COVID-19 deaths. We combine a long memory stationarity framework with the maximal clique algorithm. This provides a rich and flexible club formation strategy that goes beyond the stationary/non stationary approach adopted in the previous literature. Our results suggest that strict measures (even belated) or an aggressive vaccination scheme can confine the spread of the disease while maintaining the strictness of the measures steady can lead to a burst of the virus. Finally, we observe that fiscal measures did not have an effect on the containment of the virus.

A previous study that analyzed the impact of the U.S. and Mexican policy uncertainties on trade flows between the two countries assumed that the effects are symmetric. In this paper, we argue and demonstrate that the effects could be asymmetric. Since asymmetry analysis requires nonlinear models, we discover relatively more significant and exciting results. A total of 93 industries that trade between the U.S. and Mexico are included in the study. While we found short-run asymmetric effects in most industries, long-run asymmetric effects were discovered in about 25% of the industries. The findings were industry specific. For example, the largest U.S. exporting industry to Mexico (Electric machinery with 16.27% export share) was hurt by increased uncertainty in Mexico but helped by increased uncertainty in the U.S. On the other hand, the largest Mexican exporting industry to the U.S. (Vehicles and Parts with 28.3% export share) was helped by increased uncertainty in the U.S. but not by any changes in the Mexican uncertainty.