scholarly journals The impact of economic policy uncertainty on the innovation in China: Empirical evidence from autoregressive distributed lag bounds tests

2018 ◽  
Vol 6 (1) ◽  
pp. 1514929
Author(s):  
Hummera saleem ◽  
Wen Jiandong ◽  
Muhammad Bilal Khan ◽  
Juan Sapena
Keyword(s):  
Economic Policy ◽  
Empirical Evidence ◽  
Policy Uncertainty ◽  
Economic Policy Uncertainty ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
The Impact

The Nexus Between Economic Policy Uncertainty and Stock Returns of Tourism Companies: Evidence from Turkey

2020 ◽  
Vol 23 (3) ◽  
pp. 87-98
Author(s):  
Alper Aslan ◽  
Buket Altinöz
Keyword(s):  
Economic Policy ◽  
Stock Returns ◽  
Policy Uncertainty ◽  
Causality Test ◽  
Economic Policy Uncertainty ◽  
European Economic ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Demand Models

This article aims to analyze the nexus between economic policy uncertainty (EPU) and stock returns of tourism companies for Turkey by using the Autoregressive Distributed Lag (ARDL) boundary test for data from 1997 to 2017. The analysis results illustrate that an increase in the global and European economic policy uncertainty index affects negatively to Borsa Istanbul (BIST) tourism index in Turkey in both the short and long run. In addition, global economic policy uncertainty has a greater impact on stock returns of tourism companies in the long run than European economic policy uncertainty. The causality test results support this statement and illustrate a unidirectional causality from global economic policy uncertainty to BIST Tourism Index (XTRZM). These findings proved that Turkey is not only for Europe but also a tourism center, globally. Analysis results implied that especially global economic policy uncertainty is a factor that should be taken into account to explain tourism stock returns. This article proposes that it will be useful to use the EPU index, especially global EPU, as a determinant of tourism stock returns. This result takes the existing theoretical infrastructure one step further than traditional tourism demand models.

scholarly journals Do Economic Policy Uncertainty and Geopolitical Risk Lead to Environmental Degradation? Evidence from Emerging Economies

2021 ◽  
Vol 13 (11) ◽  
pp. 5866
Author(s):  
Muhammad Khalid Anser ◽  
Qasim Raza Syed ◽  
Hooi Hooi Lean ◽  
Andrew Adewale Alola ◽  
Munir Ahmad
Keyword(s):  
Economic Policy ◽  
Renewable Energy ◽  
Environmental Degradation ◽  
Emerging Economies ◽  
Ecological Footprint ◽  
Policy Implications ◽  
Policy Uncertainty ◽  
Economic Policy Uncertainty ◽  
Integration Test ◽  
The Impact

Since the turn of twenty first century, economic policy uncertainty (EPU) and geopolitical risk (GPR) have escalated across the globe. These two factors have both economic and environmental impacts. However, there exists dearth of literature that expounds the impact of EPU and GPR on environmental degradation. This study, therefore, probes the impact of EPU and GPR on ecological footprint (proxy for environmental degradation) in selected emerging economies. Cross-sectional dependence test, slope heterogeneity test, Westerlund co-integration test, fully modified least ordinary least square estimator, dynamic OLS estimator, and augmented mean group estimator are employed to conduct the robust analyses. The findings reveal that EPU and non-renewable energy consumption escalate ecological footprint, whereas GPR and renewable energy plunge ecological footprint. In addition, findings from the causality test reveal both uni-directional and bi-directional causality between a few variables. Based on the findings, we deduce several policy implications to accomplish the sustainable development goals in emerging economies.

Economic Policy Uncertainty in the Euro Area: Cross-Country Spillovers and Macroeconomic Impact

2019 ◽  
Vol 239 (5-6) ◽  
pp. 957-981 ◽  
Author(s):  
Volker Clausen ◽  
Alexander Schlösser ◽  
Christopher Thiem
Keyword(s):  
Economic Policy ◽  
Structural Var ◽  
Policy Uncertainty ◽  
Economic Policy Uncertainty ◽  
Financial Firms ◽  
Macroeconomic Impact ◽  
Variance Decompositions ◽  
Cross Country ◽  
Uncertainty Indices ◽  
The Impact

Abstract This paper analyzes spillovers and the macroeconomic effects of economic policy uncertainty (EPU) in Europe over the last two decades. Drawing on the newspaper-based uncertainty indices by Baker et al. (2016, Measuring Economic Policy Uncertainty. Quarterly Journal of Economics 131 (4): 1593–1636), we first use the Diebold and Yilmaz (2014 On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms. Journal of Econometrics 182 (1): 119–134) connectedness index methodology to investigate the static and dynamic patterns of EPU spillovers. We find substantial spillovers across the European countries. Over time, Germany in particular has become increasingly connected to the other economies. In a second step, we investigate the economic impact of EPU shocks using a structural VAR. The detrimental influence of uncertainty turns out to be regime-dependent. We identify a pre-crisis, a crisis and a post-crisis regime, and the effect is only significant in the former two. Finally, the impact of EPU shocks is also heterogeneous across the monetary union’s most important members.

Economic policy uncertainty and fine wine prices

2020 ◽  
Vol 32 (3) ◽  
pp. 457-476
Author(s):  
Nithya Shankar ◽  
Bill Francis
Keyword(s):  
Economic Policy ◽  
Information Criterion ◽  
Government Policies ◽  
Time Lags ◽  
Policy Uncertainty ◽  
Content Type ◽  
Economic Policy Uncertainty ◽  
The Uk ◽  
The Impact ◽  
Wine Markets

Purpose The paper aims to investigate the impact of economic policy uncertainty (EPU) (i.e. uncertainty due to government policies) on fine wine prices. Design/methodology/approach The paper uses the Baker et al. (2016) monthly news-based measure of EPU for the leading wine markets: the USA, the UK, France, Germany and China in conjunction with monthly fine wine pricing data from the London International Vintners Exchange (Liv-ex). The wine sub-indices used are the Liv-ex 500 (Bordeaux), Burgundy 150, Champagne 50, Rhone 100, Italy 100, California 50, Port 50 and Rest of the World 50. The Prais–Winsten and Cochrane–Orcutt regressions are used for our analyses to correct for effects of serial correlation. Time lags are chosen based on the appropriate information criterion. Findings Changes in EPU levels negatively impact changes in the Liv-ex 500 index for all our leading wine markets except France, the Champagne 50 index for the UK and the Burgundy 150 and the Rhone 100 indices for Germany, with the effects being significant for at least up to a quarter before EPU is detected. The authors did not find significant results for the EPU of France. Practical implications The paper aims to provide insights into whether EPU creates opportunities or threats for investors and wineries. Originality/value A forward-looking news-based EPU measure is used to gain insights into how the different Liv-ex sub-indices react to increases in uncertainty centered around government policies across a sample of different countries.

THE ROLES OF ECONOMIC POLICY UNCERTAINTY AND THE COVID-19 PANDEMIC IN THE CORRELATION BETWEEN CRYPTOCURRENCY AND STOCK MARKETS

2020 ◽  
pp. 1-30
Author(s):  
LINGLING QIAN ◽  
YUEXIANG JIANG ◽  
HUAIGANG LONG ◽  
RUOYI SONG
Keyword(s):  
Economic Policy ◽  
Stock Market ◽  
The United States ◽  
Mixed Data ◽  
Policy Uncertainty ◽  
Economic Policy Uncertainty ◽  
Market Portfolio ◽  
Hedging Strategies ◽  
The World ◽  
The Impact

We are the first to explore the effect of economic policy uncertainty (EPU) and the COVID-19 pandemic on the correlation between the cryptocurrency index CRIX and the world stock market portfolio, as well as the hedging properties of CRIX. To this end, we mainly apply the dynamic conditional correlation model with mixed data sampling regressions, a threshold vector autoregressive model and the generalized impulse response function. We demonstrate that the correlation is influenced by the uncertainty stance of the economy and behaves differently in low-, medium- and high-uncertainty periods. Most of the abnormal market relations exist in high levels of EPU or during the COVID-19 period, and the impact of global EPU is greater than that of EPU originating in the United States, Europe, Russia and China. Moreover, the CRIX can serve as a hedge asset against the world stock market. The high (low) level of EPU has a significantly positive (negative) effect on the optimal hedge ratio of CRIX, which increases significantly during the COVID-19 period. Our findings have implications for risk management, portfolio allocations and hedging strategies.

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