Uncovering the global network of economic policy uncertainty

This study uncovers the static and dynamic network of economic policy uncertainty (EPU) across 17 developed and emerging economies. We build a centrality network using the minimal spanning tree (MST) as well as a dependency network using partial correlations. Results from the MST show that EPU exhibits some degree of geographical connections with EPUs in seven countries in the sample directly linked to the US EPU. Evidence from dynamic time-varying MST reveals that the nature and dominance of the EPU network have changed significantly over time. Further, the US and German EPUs dominate a close-knit global policy uncertainty network with the highest net (To and From) transmitter of information flow in the dependency network. Greece, Russia, and Brazil are the top three net receivers of information in the global network of EPU. The policy implication of these results relates to the renewed and ongoing international debate on policy coordination.     

Policy uncertainty and bank’s funding costs: The effects of the financial crisis,Covid-19 pandemic,and market discipline

This paper examines the impacts of economic policy uncertainty (EPU) on bank funding costs using the 2001–2021 data of US banks. We document consistent evidence of a negative relationship between EPU and bank funding costs, implying lower bank funding costs during a time of high EPU, consistent with the hypothesis that economic agents tend to reallocate their assets into safer investments, such as bank deposits during high uncertainty. Large banks are likely to benefit most during high EPU when experiencing lower costs of funds compared with other banks, suggesting the “too-big-to-fail” perception of depositors. Cross-sectional analysis indicates that depositors require safer banks to pay lower rates, indicating the existence of market discipline. The cost-decreasing effects of policy uncertainty are less pronounced during the global financial crisis than the Covid-19 crisis.     

Do Chinese firms speculate during high economic policy uncertainty? Evidence from wealth management products

It has been well-documented that policy-related uncertainty has significant economic consequences. Studies show that US firms tend to delay investments and be conservative during periods of high economic policy uncertainty (EPU), but findings regarding Chinese firms suggest that they seem to act speculatively. This study examines the impact of policy uncertainty on firms' bank wealth management product (WMP) purchasing and helps better understand firm behaviour during high EPU. Using Chinese listed firms' bank WMPs purchasing data, we find that high EPU is associated with a higher probability of bank WMPs being purchased. Moreover, a 100% increase in EPU is associated with an 11.14% increase in average bank WMP holdings in the sample. We provide evidence that Chinese firms are not speculative, but prudent, and use bank WMP holdings to hedge the risk of policy uncertainty. Additionally, we show that financial constraints are the channels through which EPU affects bank WMP holdings.     

Economic policy uncertainty and corporate financialization: Evidence from China

Using a quarterly sample of Chinese non-financial listed firms from 2007 to 2020, we find a U-shaped relationship between economic policy uncertainty (EPU) and corporate financialization. When economic policy uncertainty (EPU) is in an appropriate range, the increase of economic policy uncertainty (EPU) is unlikely to make firms increase financial assets investment. In contrast, the operational risk induced by too high economic policy uncertainty (EPU) will make firms more willing to invest in financial assets. Additionally, we show that the effect is more noticeable when firms are non-state-owned, have lower financing constraints, or are located in lower marketization regions. The results are robust after various specifications of variables, possible endogeneity issues, and sub-samples are considered.     

How does economic policy uncertainty affect the bitcoin market?

This paper examines how economic policy uncertainty (EPU) impacts the Bitcoin (BTC) markets denominated in local currencies. We take BTC against British Pound (GBP) and the United States dollar (USD) as examples and construct the value-weighted BTC/GBP and BTC/USD composite indices. Our results show that the returns around the highest EPU days are significantly greater than those around the lowest EPU days. Further, the United States (US) EPU increases the volatility and trading volume of BTC after EPU spike days, whereas the United Kingdom (UK) EPU does not show such trends. Moreover, we observe a spillover effect for the US EPU to the UK BTC market. We further construct the dynamic conditional correlation (DCC)-GARCH model to test the dynamic correlation between EPU and BTC. Our results show that the effect of the US EPU on BTC/USD is greater than the effect of the UK EPU on BTC/GBP. Our empirical findings may provide insights for regulators to intervene in speculations in cryptocurrency markets effectively.     

A comparative analysis of cryptocurrency returns and economic policy uncertainty pre- and post-Covid-19

This study analyzes the impact of economic policy uncertainty (EPU) on cryptocurrency returns for a sample of 100 highly capitalized cryptocurrencies from January 2016 to May 2021. The results of the panel data analysis and quantile regression show that increases in global EPU have a positive impact on cryptocurrency returns for lower cryptocurrency returns quantiles and an adverse impact for upper quantiles. In line with the existing literature, the Covid-19 pandemic resulted in higher returns for cryptocurrencies. Inclusion of a Covid-19 dummy in the models strengthened the impact of EPU on cryptocurrency returns. Furthermore, the relationship between the change in EPU and cryptocurrency returns was direct in the pre-Covid-19 period but inverse in the post-Covid-19 period. These results imply that cryptocurrencies act more like traditional financial assets in the post-Covid-19 era.     

Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas

With the acceleration of global energy transition and financialization, intense climate policy uncertainty and financial speculation have significant impacts on the global energy market. This paper uses TVP-VAR-SV models to analyze the nonlinear effects of climate policy uncertainty (CPU), financial speculation, economic activity, and US dollar exchange rate on global prices of crude oil and natural gas respectively, and then compare the time-varying response of oil prices and gas prices to six representative CPU peaks. The results show that responses of energy prices to various shocks have significant nonlinear effects: the time-varying effect of CPU on energy prices from positive to negative over time is significant, and financial speculation has the opposite effects on oil and gas prices. The effect from economic activity is mainly positive, while the effects of US dollar exchange are negative and stable. These results provide important implications for policymakers and investors dealing with high levels of climate policy uncertainty, financial speculation, and global economic activity.     

Economic policy uncertainty and risk spillovers in the Eurozone

This paper focuses on the impact of economic policy uncertainty on risk spillovers within the Eurozone and contributes to these two growing literatures. To this end, we adapt the two-step procedure developed by Adrian and Brunnermeier (forthcoming) in the framework of financial systemic risk to the sovereign bond market. Accordingly, we attempt (i) to measure the extent to which distress affecting one given country's sovereign spreads can affect the Eurozone's bond market as a whole and then (ii) to identify the determinants of risk spillovers by estimating a panel data model with macroeconomic state variables and economic policy uncertainty (EPU) indices introduced by Baker et al. (2013) as regressors. EPU indices considered concern the four largest Eurozone countries, i.e. Germany, France, Italy and Spain, as well as the United States. The model is estimated with quarterly data for ten countries representing the bulk of debt issuances within the Eurozone over a period ranging from Q4/2008 to Q2/2013, which is characterized by historically high dispersion of sovereign bond spreads either across time or across countries. Our results support the idea that economic policy uncertainty in the core economies of the Eurozone, i.e. Germany and France, as well as in the largest periphery countries, i.e. Italy and Spain, can create an environment likely to exacerbate the transmission of risk arising from abnormal developments of individual countries' sovereign spreads to the Eurozone bond market as a whole. In this respect, our results plead for larger effort of Eurozone “leaders” to reduce the uncertainty surrounding their economic policy in periods of crisis not only to avoid adverse effects on their own economies but also to reduce the risk of a destabilization of the Eurozone sovereign bond market as a whole.     

Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model

Given that policy uncertainty shocks in the economic environment can exacerbate financial market volatility and pose financial risks, this paper utilizes a smooth transition version of the GARCH-MIDAS model to investigate the impact of different structural state changes in economic policy uncertainty (EPU) on stock market volatility. The extended model explains the nonlinear effects of the macro variables and the structural break changes in regime transitions. The empirical results confirm that the EPU indicators provide effective prediction information for stock volatility from the in-sample and out-of-sample analyses, which reveals that the smooth transition model provides an effective method for detecting the possible regime changes between stock volatility and macroeconomic uncertainty. Additionally, we further confirm that some category-specific EPU indicators also have strong smooth transition behaviour with respect to stock volatility. More important, our new model provides significant economic value to investors from a utility gain perspective. Overall, the institutional changes present in EPU play a nonnegligible and important role in stock market volatility. Accurate identification of the structural features of financial data helps investors deepen their understanding of the sources of stock market volatility.     

Does economic policy uncertainty drive nonlinear risk spillover in the commodity futures market?

We propose the rolling tail-event driven network technique (RTENET) to measure the dynamic nonlinear tail risk spillover of 20 US commodity futures. In addition, we investigate the effect of economic policy uncertainty (EPU) on risk spillover based on quantile-on-quantile regression (QQR). We find that the risk spillover effect increases sharply and that the market is tightly connected when EPU is at a high level. Crude oil, silver and corn, the three greatest risk transmitters in the system, need more attention. More importantly, the effect of EPU on the risk spillover of the commodity futures market is asymmetric and heterogeneous. When the risk spillover falls within extremely high quantiles, a significant positive effect of EPU is observed. In addition, grain and soft crops are more sensitive to EPU. Our findings provide a reference for policy-makers and investors to manage commodity futures markets in different uncertainty periods.     

The influence of economic policy uncertainty on corporate trade credit and firm value

This research investigates the relationship between government economic policy uncertainty (EPU) and trade credit and its value implication for U.S. public firms. We find that firms curtail their receivables periods and face shorter payables periods from suppliers during high EPU. The impact of trade credit policy changes on firm value is nonlinear. Tightening trade credit during periods of high EPU increases shareholder value only to a certain point, beyond which it is value-destroying since overly reducing trade credit can lead to losing customers to competitors.     

Economic policy uncertainty and analysts’ forecast characteristics

We examine the influence of economic policy uncertainty (EPU) on the characteristics of analysts’ earnings forecasts over a thirty-year period, spanning a wide variety of political and economic conditions. Motivated by both theory and empirical evidence that suggest a decline in the quality of the information environment for firms as EPU increases, we establish that analysts’ forecast errors increase with EPU, as does the degree of forecast dispersion. Increased error and dispersion persist after controlling for several competing sources of economy-wide uncertainty. Cross sectional analysis exploring heterogeneity in forecast quality across both analyst and firm characteristics establishes that forecast error and dispersion increase with EPU across a broad spectrum of firms and levels of analyst expertise. We control for analysts’ experience overall and the years spent covering a particular industry and firm. Five alternative methods for classifying firms as policy sensitive versus policy neutral provide consistent evidence that analyst forecast errors and dispersion increase with EPU, even for firms not deemed to be particularly sensitive to policy.     

Economic policy uncertainty and corporate inventory holdings: evidence from China

We investigate the impact of economic policy uncertainty (EPU) on corporate inventory holdings in China over the period 2007–2017. We find that EPU leads firms to significantly reduce inventory holdings and this effect is particularly pronounced among non-state-owned enterprises. The adjustment of inventory holdings enhances firms’ operating and market performance consequently. In addition, firms with greater financial constraints or stronger external governance are more affected by EPU. Further exploration shows that EPU induces high precautionary cash holdings, which crowds out inventories. Our results illustrate that firms reallocate between inventories and cash to cope with uncertainty associated with economic policy changes.     

The effects of uncertainty measures on the price of gold

This paper analyzes the determinants of the price of gold with a special focus on four uncertainty measures (namely, the volatility (VIX), skewness (SKEW), global economic policy uncertainty (EPU), and partisan conflict (PC) indexes). The nonlinear Autoregressive-distributed Lag (ARDL) model is used to investigate the asymmetric effect of uncertainty measures on gold prices. The results show that rising economic policy uncertainty contributes to increases in the price of gold. By contrast, gold prices are less likely to fall when economic policy conditions are improved.     

Dynamic interdependencies among the housing market,stock market,policy uncertainty and the macroeconomy in the United Kingdom

In this study, we examine the dynamic interdependencies among the housing market, stock market, policy uncertainty and the macroeconomy in the United Kingdom, over the period 1997 M1–2015 M02. The findings of this study suggest the following empirical regularities. First, the transmission of various types of shocks contributes significantly to economic fluctuations in the United Kingdom. Second, spillovers show large variations over time. Third, in the wake of the global financial crisis, spillovers have reached unprecedented levels. Specifically, we find large spillovers of shocks from the housing market, stock market and economic policy uncertainty to inflation, economic growth and monetary policy stance. These results illustrate the contagion from the housing and financial crisis to the real economy and the policy reaction to stabilize the economy.     

Does economic policy uncertainty matter for financial reporting quality? Evidence from the United States

Review of Quantitative Finance and Accounting - We examine the effect of economic policy uncertainty (EPU) on the financial reporting quality of US firms over 1999–2015. We use accruals-based...     

Asymmetric volatility spillovers between economic policy uncertainty and stock markets: Evidence from China

This study explores the spillovers between economic policy uncertainty (EPU) and stock market realized volatility (RV). The monthly index of Chinese and US EPU and RV are used to analyze the pairwise directional spillovers. We find that RV is a net receiver that is more vulnerable to shocks from U.S. EPU than to shocks from Chinese EPU. We further decompose the RV into good and bad volatility to test the asymmetric spillover effect between the stock market and EPU. The results suggest that EPU has a bigger effect on bad volatility in the stock market throughout most of the sample period. However, we find that good volatility spillovers become larger during periods of stimulated reform, whereas bad volatility spillovers become larger during periods of international disputes. We show that Chinese stock market volatility is sensitive to both U.S. and Chinese EPU and that the spillover is asymmetric in different periods.     

Does economic policy uncertainty affect cross-border M&As? —— A data analysis based on Chinese multinational enterprises

This paper analyzes the impact of economic policy uncertainty (EPU) of home and host countries on cross-border mergers and acquisitions (M&As) using EPU indexes and the amount and quantity of China's cross-border M&As in 21 countries from 2001 to 2017. First, we find that uncertainty in the economic policy of the home country drives cross-border M&As, uncertainty in the host country's economic policy significantly inhibits cross-border M&As, and when the economy is in a pro-cyclical period, alleviates the influence of the host country's economic policy uncertainty on M&As. Second, the impact of the host country's economic policy uncertainty on cross-border M&As differs before and after the financial crisis. The host country's economic policy uncertainty is positively correlated with cross-border M&As before the crisis and significantly negatively correlated with it after the crisis. Third, the impact of economic policy uncertainty in the home and host countries on cross-border M&as is significant in developed countries but not significant in developing countries finally, differences in bilateral uncertainty and bilateral market growth are significantly positively correlated with the scale of M&A     

Policy uncertainty and the capital shortfall of global financial firms

This paper examines how economic policy uncertainty affects financial firms' capital shortages in the event of a new crisis. By employing a global economic policy uncertainty index, we show that an increase in policy uncertainty leads to future capital shortfall increases in the event of a severe market decline. This effect of policy uncertainty is of a similar magnitude for all firms across all regions and sectors, albeit with a few exceptions. As expected, well-capitalized financial firms are less affected. Our findings have important implications for policymakers and politicians, since if their response during a severe market decline is not timely and decisive, the delay will come at a cost. Further, in terms of the implications for firms' managers, we show that during periods of elevated policy uncertainty and a severe market downturn, firms will face additional, unexpected capital requirements.     

Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market

This study finds evidence that a rise in economic policy uncertainty (EPU) leads to a decline in stock returns in Chinese market; however, a positive coefficient was observed in the lagged EPU as stock prices rebound. This phenomenon also holds true for a rise in uncertainty innovations in fiscal policy, monetary policy, trade policy and global policy. The evidence leads to conclude that policy uncertainty premiums should be priced into China’s stock prices. An escalation of U.S. policy uncertainty has a significantly harmful effect on Chinese stocks regardless of whether firms are stated own or listed on U.S. market.