scholarly journals Economic Policy Uncertainty and Cryptocurrency Market as a Risk Management Avenue: A Systematic Review

Risks ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 163
Author(s):  
Inzamam Ul Haq ◽  
Apichit Maneengam ◽  
Supat Chupradit ◽  
Wanich Suksatan ◽  
Chunhui Huo
Keyword(s):  
Systematic Review ◽  
Risk Management ◽  
Economic Policy ◽  
Risk Mitigation ◽  
Empirical Literature ◽  
Future Research ◽  
Policy Uncertainty ◽  
Stock Market Volatility ◽  
Economic Policy Uncertainty ◽  
Asset Class

Cryptocurrency literature is increasing rapidly nowadays. Particularly, the role of the cryptocurrency market as a risk management avenue has got the attention of researchers. However, it is an immature asset class and requires gaps in current literature for future research directions. This research provides a systematic review of the vast range empirical literature based on the cryptocurrency market as a risk management avenue against economic policy uncertainty (EPU). The review discovers that cryptocurrencies have mixed connectedness patterns with all national EPU therefore, the risk mitigation ability varies from country to country. The review finds that heterogeneous correlation patterns are due to the dependence of EPU on the policies and decisions usually taken by regulatory authorities of a particular country. Additionally, heterogeneous EPU requires heterogeneous solutions to deal with stock market volatility and economic policy uncertainty in different economies. Likewise, the divergent protocol and administration of currencies in the crypto market consequently vicissitudes the hedging and diversification performance against each economy. Many research lines can benefit investors, policymakers, fund managers, or portfolio managers. Therefore, the authors suggested future research avenues in terms of topics, data frequency, and methodologies.

LGBT-supportive corporate policies, risk aversion and mitigation and economic policy uncertainty

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chaiyuth Padungsaksawasdi ◽  
Sirimon Treepongkaruna ◽  
Pornsit Jiraporn
Keyword(s):  
Economic Policy ◽  
Risk Mitigation ◽  
Policy Uncertainty ◽  
Corporate Policies ◽  
Content Type ◽  
Instrumental Variable Analysis ◽  
Economic Policy Uncertainty ◽  
The Media ◽  
Corporate Social ◽  
Variable Analysis

PurposeThe paper aims to investigate the effect of uncertain times on LGBT-supportive corporate policies, exploiting a novel text-based measure of economic policy uncertainty (EPU) that was recently constructed by Baker et al. (2016). LGBT-supportive policies have attracted a great deal of attention in the media lately. There is also a rapidly growing area of the literature that addresses LGBT-supportive policies specifically.Design/methodology/approachThe authors execute a regression analysis and several other robustness checks including propensity score matching (PSM) and an instrumental-variable analysis to mitigate endogeneity.FindingsThe authors' results show that companies significantly raise their investments in LGBT-supportive policies in times of greater uncertainty, reinforcing the risk mitigation view where LGBT-supportive policies create moral capital with an insurance-like effect that mitigates adverse consequences during uncertain times. The effect of EPU on LGBT-supportive policies is above and beyond its effect on corporate social responsibility (CSR) in general.Originality/valueThe authors' study is the first to explore the effect of uncertain times on LGBT-supportive corporate policies. The authors contribute to a crucial area of the literature that examines how firms respond to EPU. In addition, the authors enrich the literature on LGBT-friendly policies by showing that EPU is one of the significant determinants of LGBT-friendly policies.

scholarly journals Do International Capital Flows, Institutional Quality Matter for Innovation Output: The Mediating Role of Economic Policy Uncertainty

2021 ◽  
Vol 7 (2) ◽  
pp. 141
Author(s):  
Md Qamruzzaman ◽  
Tahar Tayachi ◽  
Ahmed Muneeb Mehta ◽  
Majid Ali
Keyword(s):  
Economic Policy ◽  
Institutional Quality ◽  
Empirical Literature ◽  
Policy Uncertainty ◽  
Causality Test ◽  
Economic Policy Uncertainty ◽  
Long Run ◽  
Short Run ◽  
Innovation Output ◽  
The Impact

The determinants of innovation output in empirical literature were extensively investigated by considering diverse sets of variables. Still, the impact of economic policy uncertainty on innovation output is yet to unleash. To mitigate the existing research gap, the study investigated the association between EPU and innovation output, considering a panel of 22 countries over 1997–2018. The study employed a dynamic panel quantile regression and system-GMM specification causality test for discovering elasticity and directional association both in the long-run and the short-run. Study findings disclosed negative statistically significant effects running from EPU to innovation output except innovation measured by R&D. Moreover, institutional quality and FDI exposed positive and statistically significant association with innovation output. In terms of directional causality, unidirectional causality running from EPU and FDI to innovation output was established, whereas bidirectional causality was established between institutional quality and innovation output.

scholarly journals Economic Policy Uncertainty and Chinese Stock Market Volatility: A CARR-MIDAS Approach

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xinyu Wu ◽  
Tianyu Liu ◽  
Haibin Xie
Keyword(s):  
Economic Policy ◽  
Stock Market ◽  
Market Volatility ◽  
Policy Uncertainty ◽  
Chinese Stock Market ◽  
Stock Market Volatility ◽  
Model Framework ◽  
Economic Policy Uncertainty ◽  
Volatility Model ◽  
The Impact

Intraday range (the difference between intraday high and low prices) is often used to measure volatility, which has proven to be a more efficient volatility estimator than the return-based one. Meanwhile, a growing body of studies has found that economic policy uncertainty (EPU) has important impact on stock market volatility. In this paper, building on the range-based volatility model, namely, the conditional autoregressive range (CARR) model, we introduce the CARR-mixed-data sampling (CARR-MIDAS) model framework by considering intraday information to investigate the impact of EPU on the volatility of Chinese stock market and to explore the predictive ability of EPU for Chinese stock market. The empirical results show that both the China EPU (CEPU) and global EPU (GEPU) have a significantly negative effect on the long-run volatility of Chinese stock market. Furthermore, we find that taking into account the CEPU and GEPU leads to substantial improvement in the ability to forecast the volatility of Chinese stock market. We also find that the CEPU provides superior volatility forecasts compared to the GEPU. Our findings are robust to different forecasting windows.

scholarly journals A Principal Component-Guided Sparse Regression Approach for the Determination of Bitcoin Returns

2020 ◽  
Vol 13 (2) ◽  
pp. 33 ◽  
Author(s):  
Theodore Panagiotidis ◽  
Thanasis Stengos ◽  
Orestis Vravosinos
Keyword(s):  
Economic Policy ◽  
Strong Evidence ◽  
Principal Component ◽  
Market Volatility ◽  
Policy Uncertainty ◽  
Stock Market Volatility ◽  
Sparse Regression ◽  
Economic Policy Uncertainty ◽  
Regression Approach

We examine the significance of fourty-one potential covariates of bitcoin returns for the period 2010–2018 (2872 daily observations). The recently introduced principal component-guided sparse regression is employed. We reveal that economic policy uncertainty and stock market volatility are among the most important variables for bitcoin. We also trace strong evidence of bubbly bitcoin behavior in the 2017–2018 period.

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