scholarly journals Foreword

10.26458/1721 ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 11
Author(s):  
Elena Gurgu

In the middle of 2017, global activity is firming broadly as expected. Manufacturing and trade are picking up, confidence is improving and international financing conditions remain benign. Global growth is projected to strengthen to 2.7 percent in 2017 and 2.9 percent in 2018-19, in line with OECD January forecasts. In emerging market and developing economies (EMDEs), growth is predicted to recover to 4.1 percent in 2017 and reach an average of 4.6 percent in 2018-19, as obstacles to growth in commodity exporters diminish, while activity in commodity importers continues to be robust. Risks to the global outlook remain tilted to the downside. These include increased trade protectionism, elevated economic policy uncertainty, the possibility of financial market disruptions, and, over the longer term, weaker potential growth. .....

2020 ◽  
Vol 65 (4) ◽  
pp. 485-496
Author(s):  
Imtiaz Arif ◽  
Amna Sohail Rawat ◽  
Muhammad Shahbaz

This paper estimates the relationship between US economic policy uncertainty and geopolitical risk in the BRIC economies.1 Due to the assumption of a non-linear and asymmetric relation between US economic policy uncertainty and geopolitical risk of BRIC countries, a nonparametric estimation technique, Quantile on Quantile approach has been used for empirical analysis. The empirical results revealed that the relationship between the US economic policy uncertainty and geopolitical risk of BRIC economies is heterogeneous in nature. We noted that economic policy uncertainty in the US is negatively related to geopolitical risk in Chinese and Russian economies. However, for Indian and Brazilian economies US economic policy uncertainty is positively related to geopolitical risk. The outcomes of the study will be helpful for the investors and financial market players for taking investment decisions. It will also benefit the legislators and policymakers in making policies that could make their respective economies insulated from foreign policy risks.


2018 ◽  
Vol 10 (1) ◽  
pp. 112-135 ◽  
Author(s):  
Byomakesh Debata ◽  
Jitendra Mahakud

Purpose This study aims to examine the relationship between economic policy uncertainty and stock market liquidity in an order-driven emerging stock market. Design/methodology/approach Empirical estimates are based on vector autoregressive Granger-causality tests, impulse response functions and variance decomposition analysis. Findings The empirical findings suggest that economic policy uncertainty moderately influences stock market liquidity during normal market conditions. However, the role of economic policy uncertainty for determining stock market liquidity is significant in times of financial crises. The authors have also observed a significant portion of variation in stock market liquidity that is attributed to investor sentiments during financial crises. Originality/value This study is original in nature and provides evidence to consider economic policy uncertainty as a possible source of commonality in liquidity in the context of an emerging market.


2021 ◽  
Vol 13 (8) ◽  
pp. 4166
Author(s):  
Ying Chen ◽  
Xiaoqian Shen ◽  
Li Wang

While economic growth has been the main goal of countries around the world, environmental problems such as air pollution have also arisen. Since the increase in economic uncertainty is limiting production capacity and consumers’ marginal propensity to consume, which reduces CO2 emissions, economic policy uncertainty has become one of the most important factors affecting CO2 emissions. COVID-19 has demonstrated that economic policy uncertainty reduces the enthusiasm of market participants, which, in turn, reduces energy demand and CO2 emissions. In order to further study the impact of economic policy uncertainty on air pollution, this study uses a panel model to empirically test the data for a sample of 15 countries covering the period from 1997 to 2019. According to the empirical results, we find that the economic policy uncertainty has a significant negative impact on per capita CO2 emissions. That is, the higher the uncertainty of economic policy, the lower the per capita CO2 emissions of countries. What’s more, this negative effect is larger in emerging market countries than in advanced countries.


2021 ◽  
Vol 13 (11) ◽  
pp. 88
Author(s):  
Hanan Naser

The pandemic of coronavirus (COVID-19) creates fear and uncertainty causing extraordinary disruption to financial markets and global economy. Witnessing the fastest selloff in the American stock market in history with a plunge of more than 28% in S&P 500 has increased the volatility of global financial market to exceed the level observed during the financial crisis of 2008. On the other hand, Bitcoin value has shown considerable stability in the last couple of months peaking at $10,367.53 in the mid of February 2020. In this context, the aim of this paper is to investigate the impact of COVID-19 numbers on Bitcoin price taking into consideration number of controlling variables including WTI-oil price, S&P 500 index, financial market volatility, gold prices, and economic policy uncertainty of the US. To do so, ARDL estimation has been applied using daily data from December 31, 2019 till May 20, 2020. Key findings reveal that the daily reported cases of new infections have a marginal positive impact on Bitcoin price in the long term. However, the indirect impact associated with the fear of COVID-19 pandemic via financial market stress cannot be neglected. Bitcoin can also serve as a hedging tool against the economic policy uncertainty in the long term. In the short run, while the returns of economic policy uncertainty have no impact on Bitcoin price, the growth in the new cases of COVID-19 infection and returns of financial market volatility have more positive significant impact on Bitcoin returns.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Çağlayan Aslan ◽  
Senay Acikgoz

PurposeThe purpose of this paper to examine how global economic policy uncertainty (GEPU) affects export flows of emerging market economies.Design/methodology/approachThis study examines the effect of GEPU on 28 emerging markets' export performance. GEPU variable used in the authors’ empirical analysis is measured by partial least square (PLS) factor loading model with the help of 24 countries' economic policy uncertainty index. A panel vector autoregression (VAR) model is employed for the estimations and monthly data over the 2006:01–2019:12 period are used.FindingsThe empirical findings show that while the real external income is the main factor that affects export flows, the real exchange rate is the least effective variable with regard to the variance decomposition, which is not expected by the related economic theory. Panel VAR estimations results confirm the previous studies and find that GEPU affects export flows negatively and significantly.Originality/valueTo the best of the authors’ knowledge, this is the sole study in terms of focusing on the impacts of GEPU on the export volume of emerging markets. The contribution of this paper is twofold. Firstly, a large set of countries with monthly frequented data that assist to capture uncertainties better is used. Secondly, the global economic policy index is obtained by employing the PLS method, which provides more robust results that are calculated with respect to the dependent variable.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
William Mbanyele

PurposeThe purpose of this study is to examine the role of board networks in promoting stock liquidity when there is high economic policy uncertainty using a sample of Brazilian firms from 2002 to 2015.Design/methodology/approachThe study employs the ordinary least squares estimation method with standard errors clustered at the firm level for preliminary analysis, besides the study employs the two-step GMM dynamic estimation method to deal with potential endogeneity issues.FindingsFirst, the findings show that economic policy uncertainty disproportionately contributes to stock illiquidity and the impact is mainly prominent for high risky companies, small firms and firms in competitive industries. Second, the author provides evidence that board networks promote stock liquidity more via the information channel when economic policy uncertainty is very high.Practical implicationsGiven the adverse effects of economic policy uncertainty on stock liquidity, governments need to swiftly communicate and implement policies that affect the capital market to avoid the drying up of liquidity, which is exacerbated by communication or implementation lags. Also, there is a need for the regulators to continuously encourage the inclusion of independent directors in boards, which helps to increase board monitoring capacity and the firms' ability to respond to changes in the external environment.Originality/valueUnlike other studies that focus on the adverse effects of economic policy uncertainty on firm outcomes, the novel contribution is that the author uncovers the role of board networks in mitigating the negative effects of economic policy uncertainty on stock liquidity.


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