Journal of Economic Asymmetries最新文献

There is consensus among scholars and policymakers alike that economic stability significantly affects the financial sector of an economy. In this context, the present paper explores the possible asymmetric impact of macroeconomic stability on the Indian financial sector for the period 1975–2021. To capture the asymmetry, this study adopts the nonlinear autoregressive distributive lag (NARDL) model. Furthermore, this study examines the asymmetric causal flow between macroeconomic stability and financial development using the new asymmetric causality test proposed by Hatemi-j (2012). The results demonstrate that macroeconomic instability hurts financial development and that this effect is asymmetrical in nature. Furthermore, the findings demonstrate that per capita real income has a positive impact on financial development, supporting the demand-led hypothesis in the finance growth nexus. The results further demonstrate that the causal relationship is asymmetric. There is a unidirectional, asymmetrical causal flow from positive shock in financial development to positive shock in inflation. Overall, we conclude that the benefits of financial sector reforms are contingent upon economic stability. This implies that Indian policymakers must prioritize economic stability over financial reforms, emphasizing that future policy formulation should be contingent on cyclical periods.

Cohesion policy and the EU funds have been key elements for territorial integration in Europe. Evidence shows that EU funds support the growth performance of regions. However, less has been discussed about the potential impact of macroeconomic uncertainty on the effectiveness of EU funds. Our analyses confirm that EU funds are important in understanding regional economic growth differences. However, the extent of macroeconomic uncertainty decreases the effectiveness of the EU funds. Our results are robust in including local controls, non-linearity of the EU funds’ effect, different EU fund categories, and regional heterogeneity in the EU.

This paper examines the asymmetric impacts of climate policy uncertainty (CPU), and geopolitical risk (GPR) on US green bond (GB) returns. By using the non-linear ARDL model and monthly data for GB, CPU and GPR from January 2016 to August 2022, our empirical findings show that in the short run, GB returns are negatively affected by both positive and negative shocks to GPR. In the long term, GB returns are positively impacted by negative shocks in GPR and negatively affected by positive shocks in GPR. CPU on the other hand shows an insignificant symmetric effect. These results have vital implications for policymakers and fund managers. Policymakers should consider implementing policies that reduce uncertainties and ensure stability in the green bond market. For fund managers, there is the need to adopt dynamic approaches to portfolio management, considering the evolving nature of geopolitical risks and their impact on green bond performance.

This study investigates the asymmetric effects of interest rate innovations on financial stress during times of conventional and unconventional monetary policy. We employ the methodology of Kilian and Vigfusson (2011) to examine the possible asymmetries between different monetary policy stances of the Fed and the ECB. The period under examination spans from 1999 to 2023, when the two central banks were active in conducting quantitative easing (QE) operations. The evidence reveals that the effects of implementing a contractionary or an expansionary monetary policy on financial stress are sign- and size-specific.

The local public transportation (LPT) system is crucial for the growth and competitiveness of regions. The efficiency of service providers and the chosen procurement system significantly influence the LPT system’s operational dynamics. This study combines an analysis of service contract determinants with a comprehensive examination of company ownership impacts and LPT service procurement dynamics in major Italian cities. Using a GAMLSS (Generalized Additive Models for Location, Shape, and Scale) approach, the study identifies key factors influencing contract outcomes. This study reveals the complex interplay of cost factors, ownership models, and geographical disparities, offering valuable insights for policymakers and public transportation professionals.

We build a model of firms' choice between regular and irregular labor factors which links the cost efficiency of banks to the size of the underground economy. We consider two kinds of credit institutions supplying loans to the firms, cooperative and non-cooperative banks. The theoretical results show that cost-efficiency encourages firms to hire more regular workers. We then test our theoretical predictions using regional data for Italy over the 2004–2017 and assess how the efficiency of cooperative and non-cooperative banks, shapes the underground economy. In line with our theoretical prediction, increased cost efficiency reduces the size of the underground economy, especially in building and agriculture, and the estimated coefficients for the different types of banks are quite similar in size. Our evidence is robust to banks’ size, once we control for the likely simultaneity between cost efficiency and the underground economy and once we include the quality of institutions.

This paper studies the characteristics of Spanish and Portuguese business cycles over around 150 years. We estimate a time-varying multi-country Bayesian Vector Autoregression, jointly modeling real and financial variables for Portugal and Spain to investigate convergence and synchronization. The primary evidence indicates a consistent common component linking the business cycles of the two nations. Fiscal policy harmonization and financial market integration have been successful, as seen in the converging trends of stock prices and budget deficits. However, this does not extend to credit and country spreads, where idiosyncratic dynamics continue to be significant and are unlikely to diminish in the near future, which can pose challenges in implementing further policies like the Euro.

This paper provides fresh evidence of temperature effects on GDP per capita growth and economic policy uncertainty $\left(epu\right)$. We apply the quantile via moments methodology (Machado and Santos Silva, 2019) in a sample of 31 countries for the period 1980–2021, the most current time frame of the work we reviewed. To the best of our knowledge, temperature effects on $epu$, in a panel quantile setting, have not been examined before. Our empirical results provide evidence in favor of asymmetric temperature impacts on both growth rates and $epu$. Specifically, according to our main findings: First, the impact of temperature on the growth rate of GDP per capita is quadratic, negative and increases, in absolute terms, as we move from the upper (flourishing economy) to the lower (bearish economy) quantiles. Second, hotter countries are more vulnerable to economic policy uncertainty, with the effect being more pronounced as uncertainty increases. Third, the temperature effect on GDP is higher than the political effect in weaker economies, while the political effect becomes of greater magnitude in stronger economies. Overall, our results indicate that an increase in temperature due to climate change poses important threats for the development prospects especially, but not exclusively, of the poorer countries that usually have both higher temperatures and face severe issues of economic policy uncertainty due to political instability and lack of basic economic infrastructure.

This study investigates the heterogeneous impacts of eight categories of geopolitical risk on stock market performance across different market conditions in four Middle Eastern economies: Egypt, Israel, Saudi Arabia, and Turkey. Utilizing Quantile regression analysis and datasets spanning from September 2002 to August 2023, our findings reveal the complex and varied relationships between geopolitical risk factors and stock market performance. These results underscore the significance of comprehending specific political risk factors and their influence under various market conditions. We observe a consistent negative relationship between military buildups and stock market performance in Egypt and Israel, while other categories exhibit mixed effects. The Saudi Arabian and Turkish markets demonstrate varied sensitivity to different risks, with terrorism and war-related events significantly affecting market dynamics. Notably, all four markets consistently displayed negative reactions to terrorist activities, indicating the universally disruptive nature of such events. Understanding these dynamics assists investors and policymakers in adapting to global political changes.

This research delves into the effects of recent crises on investor behavior within the currency options market, particularly focusing on the relationship with underlying exchange rates. Analyzing daily EUR/USD currency call pair data from May 4, 2011, to June 19, 2023, we employ a genetic algorithm to calculate stochastic volatility in line with the Garman and Kohlhagen model. Through the application of the STAR model, we identified shifts in investor behavior across various crisis periods. These shifts are linked to inherent asymmetries in the time series data, illustrating the diverse strategies of different investor types, such as fundamentalists and chartists. Our findings reveal how each investor group tailors its approach to these market asymmetries, showcasing distinct strategies and responses to fluctuating market conditions and crises. This study contributes to the financial literature by offering a more nuanced understanding of how crises influence investor behavior and the dynamics of currency markets. Ultimately, it sheds light on the complexities of investor behavior during economic challenges.