Journal of Economic Asymmetries最新文献

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 influence of the U.S. financial crisis on the relationship between ownership holdings and stock performance by assessing the asymmetries between the effects of insider and institutional ownership before, during and after the U.S. financial crisis. The study examines NIFTY 500-listed companies over a period of 16 years, from 2002 to 2017, and distinguishes between three economic phases, namely the pre-crisis (2002–2007), the crisis (2008–2009) and the post-crisis (2010–2017) period. To test our hypothesis, we employ the panel-data techniques of feasible generalised least squares and system-generalised methods of moments to control for autocorrelation, heteroscedasticity and endogeneity issues. The findings reveal that insider ownership had significant U-shaped and inverted-U-shaped effects during the pre-crisis and the post-crisis phase, respectively, which confirms the existence of the monitoring and expropriation effects of insiders. The favourable effect of domestic institutions during the crisis phase supports the notion that such owners engage in efficient monitoring during periods of economic turbulence. The adverse effect of foreign institutional ownership during the pre-crisis period implies either a conflict of interest or capital-gain motives that resulted in selling behaviour when the market economy was growing. The time-variant effects of insider and institutional ownership are noted. Our findings have immense significance for investors and executives who wish to understand the varied effects of insider and institutional ownership as they pertain to the management of a crisis that is caused by an exogenous shock.

This paper innovatively explores the relationship between a country’s government debt and the use of renewable energy. Incorporating key socio-economic and financial variables, critical to the United Nations SDG-7, we build a panel dataset for G7 countries from 1990-2021. Using cointegrating regression methods (FMOLS and DOLS), Quantile Regressions (QR) and pairwise panel causality tests, we find bidirectional causality between government debt and renewable energy consumption (REC). The empirical findings emphasize the important policy implications for sustainable economic development. Escalating government debt can hinder investment in renewable energy infrastructure, while increased renewable energy has a positive impact on government debt dynamics. Policymakers are encouraged to prioritize fiscal responsibility to secure resources for renewable energy investments. Moreover, incentivizing renewable energy deployment promotes long-term fiscal benefits and creates a positive feedback loop. In fact, a comprehensive understanding of the relationship between government finances and environmental sustainability is crucial for an optimal balance.

Do fluctuations in U.S. short-term interest rates, both decreases and increases, have distinct effects on the monetary policies of emerging market economies (EMEs)? We use various empirical techniques to examine the responses of EMEs' monetary decisions across distinct phases of U.S. monetary policy (USMP). Our analysis uses data from 17 economies with inflation goals and predominantly flexible exchange rate systems from 2000 to 2020. Our findings underscore the asymmetric contagion effects of USMP. Both U.S. short-term rates decrease and increase, demonstrating a significant contagion effect in the near term. Conversely, U.S. long-term rates influence the domestic rates of EMEs when tighter, with no observed contagion during easing. Moreover, EMEs with higher GDP growth rates and trade balances demonstrate lower susceptibility to contagion. Conversely, in confirmation of the global financial cycle theory, an increase in capital inflows and surging stock market indices is correlated with heightened contagion. Our study suggests that EMEs should closely monitor and react to USMP changes to maintain financial stability and recommends that U.S. policymakers consider the international impacts of its policies, advocating for increased dialogue and collaboration.

This study investigates return spillovers in APEC region stock markets influenced by three major crises (the global financial crisis (GFC), the COVID-19 Pandemic, and the Russia- Ukraine conflict). The Diebold and Yilmaz (2012) approach with the Baruník and Křehlík (2018) methodology is employed. The results indicate that the spillover effect is crisis-sensitive, time-varying, and frequency-dependent across the APEC countries' equity markets. The GFC had the most significant spillover effect, followed by COVID-19 and the Russia-Ukraine conflict. While New Zealand, Vietnam, and the Philippines are the net risk recipients, the larger economies of the US, Canada, and Mexico are net risk contributors. Moreover, we analyzed return spillover across three different frequencies for three sub-periods, revealing that the GFC dominates short-term spillovers (five days/one week), while COVID-19 dominates long-term (above five days). Results reveal a fascinating aspect of hedging, highlighting that its costs are higher over the long term than the short term. Interestingly, hedging proves to be more effective over a long time, particularly during crises, thus emphasizing the crucial role played by the time-investment horizon factor.

This paper aims to examine the influence of the Ukraine invasion by Russia on Turkish markets, namely the Istanbul stock market index, Turkish real estate market index, Turkish gold market and Turkish foreign exchange market. This study used daily frequency data between February 24 and June 14, 2022. The variables used are BIST100, Turkey real estate index (XGMYO), Turkish gold commodity (XAU/TRY), Turkish foreign currency such as EURO/TRY, GBP/TRY, USD/TRY, TRY/UAH, TRY/RUB, and macro-economic variable RFR/TRY. The study employed Johansen cointegration, Impulse Response Functions and Markov-regime switching for the analysis. The findings established a long-run co-integration relationship among the Turkish markets. The finding also indicated that the shock from the Ukraine invasion by Russia has a positive effect on developed foreign currencies and a negative effect on currencies from emerging countries such as Turkey. The finding revealed that BIST100, XGMYO, and XAU/TRY shifted to regime 2 during the Ukraine invasion by Russia. The lack of need for more commodities such as wheat, gas and oil from the Turkish market prevented focusing on them, which may attract global attention. Despite this, the significance of this finding remains relevant in Turkey. Therefore, future research may focus on other markets with sufficient trading data for wheat and gas in Russia or Ukraine and any other countries of their study. This study established that Ukraine's invasion by Russia has a worldwide impact on the global markets. The effect is felt globally as a consequence, has been experienced across different developed and emerging markets due to the large market share of Russia on essential commodities such as gas and oil. Turkish foreign exchange markets experienced more storms during the Ukraine invasion by Russia even more than it was during the COVID-19 pandemic.

This study examines the effect of regulatory independence of the central bank in shaping the impact of electoral cycles on bank lending behaviour in Africa. It employs the dynamic system Generalized Method of Moments (SGMM) Two-Step estimator for a panel dataset of 54 African countries over the period, 2004–2022. The study found that banks lend substantially higher during election years, and reduce lending patterns thereafter. The study shows that countries that enforce monetary policy autonomy of the central bank induce a negative impact on bank lending behaviour while those that apply strong macro-prudential independent action and central bank independence reduce lending in the long term. The study provides evidence to support that regulatory independence of the central bank dampens the positive effect of elections on bank lending around election years while they amplify the reductive effects on bank lending after election periods. There is a wake-up call for countries with weak independent central bank regulatory policy to strengthen their independent regulatory policy frameworks and political institutions. This will enable them better strategize to yield a desirable outcome of bank lending to the real economy during election years.

We present empirical evidence that euro area banks following a retail-oriented financial intermediation business model exhibit a lower level of non-performing loans in their loan portfolio compared to the banks involved to a larger degree in market activities. This result is confirmed separately for the subsets of banks operating in distress and non-distress countries. We primarily utilise a business model classification that is underpinned by granular confidential supervisory data collected in the context of the EU Single Supervisory Mechanism. We control for macroeconomic developments, a number of bank-specific determinants and endogeneity, using an instrumental variables approach. Our results remain robust to the application of a wide range of specifications and estimation methods.

We propose a new method to compute various impulse response functions (IRF) for a Markov switching VAR model in terms of neat matrix expressions in closed form. The key is to derive a suitable closed form representation for Markov switching VAR models using a state-space representation. By this representation, the IRF analysis can be processed with respect to either an asymmetric discrete or a symmetric continuous shocks. A simulation study demonstrates the actual advantages of the proposed matrix methodology. To illustrate the feasibility and the usefulness of our approach, we present empirical applications to oil and natural gas markets showing the relevance of accommodating asymmetries in the relationship between their price shocks and economic activities.