Oil shocks,policy uncertainty and stock returns in China

This paper examines the interdependence of China's policy uncertainty, the global oil market and stock market returns in China. A structural VAR model is estimated that shows that a positive shock to economic policy uncertainty in China has a delayed negative effect on global oil production, real oil prices and real stock market returns. Shocks to oil market‐specific demand significantly raise China's economic policy uncertainty and reduce the real stock market returns. As measured by a spillover index, the interdependence between these variables has been rising since 2003 as China's influence in the oil market has increased. An equivalent spillover index calculated for the US is smaller and has been largely flat over time.     

Dynamic connectedness network in economic policy uncertainties

This study investigates the dynamic connectedness across nine economic policy uncertainty indexes. Our results indicate that the total spillover index is on average 67.4%, indicating a high level of interconnectedness across the nine indexes. In particular, the EU is the largest transmitter of uncertainty connectedness. In addition, China becomes a net transmitter of connectedness during the global financial crisis and European debt crisis. This finding indicates that the uncertainty of Chinese economic policy is an important contributor to the connectedness of the uncertainty network.     

Is economic policy uncertainty important to forecast the realized volatility of crude oil futures?

In this research, we first investigate whether economic policy uncertainty (EPU) index can increase the HAR-RV-type models’ forecast accuracy. In addition, we explore how EPU index can be effectively used to gain larger economic values in the oil futures market. To this end, this research provides a new perspective on setting thresholds for EPU and examines whether these thresholds can help improve both the forecast accuracy and economic values. Empirical results suggest that the HAR-RV-type models including EPU can generate more accurate forecasts and economic values. The HAR-RV-type models including above-threshold EPU can further improve the forecast accuracy and yield higher economic values by setting specific thresholds for a range of horizons. The findings highlight the importance of EPU and effective way of using EPU in risk management and portfolio strategies that is crucial for investors and policymakers.     

Economic policy uncertainty and the Chinese stock market volatility: Novel evidence

In this study, we investigate the impact of global economic policy uncertainty (GEPU) on Chinese stock market volatility. More importantly, for the first time, we explore the effects of directional GEPU based on the changing directions of GEPU and Chinese economic policy uncertainty (EPU). We make several noteworthy findings. First, the in-sample estimated results show that up and down GEPU can lead to substantially high stock market volatility for China. Second, the out-of-sample estimated results support the contention that the GEPU index is helpful for predicting volatility. Moreover, compared to GEPU alone, directional GEPU can provide more useful information that can increase the forecast accuracy. Third, we empirically find that directional GEPU is more effective in predicting Chinese stock market volatility when GEPU and EPU rise in the same month.     

A new ICEEMDAN-based transfer entropy quantifying information flow between real estate and policy uncertainty

We quantify the dependence between real estate indices and global economic policy uncertainty for 12 top-advanced countries. Generally, real estate investments are found to be highly risky to information flow from global economic policy uncertainty. amidst policy uncertainty, we find diversification, safe haven, and hedging prospects – based on the market conditions – at short term frequencies only, for the pairs between (a) Japan and the US; (b) Singapore and the US; (c) China and Canada; (d) China and Hong Kong. Our findings underscore market efficiency (inefficiency) at mid-and long-term (short-term) frequencies. In the presence of policy uncertainty, our findings underscore the operability of ingrained market dynamics between real estate investments in the mid-and long-term horizons. It is prudent for investors to combine real estate investments with other asset classes that are less risky to (or are positive recipients of) information flow from global EPU to hedge against adverse market shocks from any asset in the portfolio based on market conditions. Practically, not only should legislations be flexible to the changing market trends in the short term, but they should also be strategically crafted to retain the fundamental market dynamics between real estate investments in the mid-and long-term economic horizons.     

Economic policy uncertainty and economic activity in Turkey

We construct economic policy uncertainty (EPU) index for Turkey based on newspaper coverage frequency. The EPU index reflects the frequency counts of articles in major Turkish newspapers that contain specific terms related to economy, policy and uncertainty. The EPU index rises around national elections (2002, 2007 and 2015), domestic uncertainty periods (2008 and 2013), domestic and global financial crisis periods (2001 and 2009) and the Euro area debt crisis in 2011. The investigation of the impact of EPU on economic activity reveals that policy uncertainty has adverse impacts on economic growth, consumption and investment in Turkey. Remarkable is that high uncertainty leads to a greater investment decline than output and consumption.     

Economic policy uncertainty and the Chinese stock market volatility: new evidence

This study investigates the impacts of the economic policy uncertainty (EPU) indexes of China and the G7 countries on Chinese stock market volatility and further constructs a new diffusion index based on these indexes using principal component analysis (PCA) to achieve enhanced predictive ability. The in-sample results indicate that the EPU indexes of China and some of the G7 countries show a significantly negative impact on future volatility. Moreover, our constructed diffusion index also has a significantly negative impact. Furthermore, the out-of-sample results show that this diffusion index exhibits a significantly higher forecast accuracy than the EPU itself and combination forecasts. Finally, various robustness checks are consistent with our main conclusions. Overall, we construct a new and useful indicator that can substantially increase forecast accuracy with respect to the Chinese stock market.     

Revisiting global economic activity and crude oil prices: A wavelet analysis

Based on the wavelet analysis approach, this paper firstly examines the dynamic relationship between global economic activity (proxied by the Kilian economic index) and crude oil prices in both time- and frequency-domains. Our empirical results demonstrate significant correlation between crude oil prices and global economic activity at high frequencies (in the short run) during the entire sample period; however, the co-movement between the two at low frequencies (in the long run) is weaker and exists only during certain proportions of the sample period. We also document evidence that global economic activity and oil price are positively correlated, with dynamic lead-lag relationships across time. Our findings are robust to alternative choices of oil price indexes and controlling for other confounding factors such as geopolitical risk, armed conflicts, economic policy uncertainty and equity market uncertainty. The current study provides valuable implications for oil market investors based on the information of global economic situation and its dynamic relationships with oil prices.     

Monetary policy in steering the EONIA and POLONIA rates in the Eurosystem and Poland: a comparative analysis

The effectiveness of the monetary policies of the European Central Bank (ECB) and the Narodowy Bank Polski (NBP) is compared directly in terms of influencing the spread between the interbank overnight rate and the main rates of the central banks during periods of different economic conditions, i.e. the global financial crisis of 2008, the European sovereign debt crisis and the period of relative stability. Three categories of determinants of the Euro Overnight Index Average/Polish Overnight Index Average (EONIA/POLONIA) spreads are considered: (1) monetary policy instruments such as open market operations, standing facilities and minimum reserve requirements; (2) measures of liquidity conditions; and (3) market expectations and risk measures. Applying the ARFIMA–GARCH models, we show that the statistical and economic properties of the EONIA and POLONIA spreads are quite different. The EONIA spread has a long memory while the POLONIA spread is characterized by a short memory. This difference is important from the viewpoint of a stabilizing monetary policy. The impact of shocks on the future levels of the spread was stronger for the POLONIA spread, but it was short-lived in comparison with the EONIA spread. Most of the analysed variables significantly influenced the spreads during the financial crisis, while the biggest differences in the impact of determinants between the EONIA and POLONIA spreads occurred during the period of relative stability. Substantial differences also exist between the volatilities of both spreads.     

Policy uncertainty and international financial markets: the case of Brexit

ABSTRACT

This study assesses the impact of the Brexit probability on both the UK and on international financial markets, for the first and the second statistical moments. As financial markets are by nature highly interlinked, one might expect that the uncertainty engendered by Brexit also has an impact on financial markets in several other countries. We first estimate the time-varying interactions between UK policy uncertainty, which to a large extent is attributed to uncertainty about Brexit and UK financial market volatilities. Second, we use two other measures of the perceived probability of Brexit before the referendum, namely daily data released by Betfair and results of polls published by Bloomberg. Based on these data sets, and using both panel and single-country SUR estimation methods, we analyse the Brexit effect on levels of stock returns, sovereign CDS, 10-year interest rates in 19 predominantly European countries, and those of the British pound and the euro. We show that Brexit-induced policy uncertainty will continue to cause instability in key financial markets and has the potential to damage the real economy in both the UK and other European countries. The main losers outside the UK are the ‘GIIPS’ economies: Greece, Ireland, Italy, Portugal and Spain.     

Welfare costs of monetary policy uncertainty in the economy with shifting trend inflation

We study welfare costs of the uncertainty about monetary policy in the economy featuring shifting trend inflation. We follow Ruge-Murcia (J Econ Dyn Control 36: 914–-938, 2012) to employ the SMM approach to fit the model to the US data (1979Q1-2015Q1). We find that the monetary policy uncertainty affects economic welfare through different dimensions. On the one hand, the policy uncertainty itself distorts the economic welfare negligibly, not only by increasing volatilities of consumption and leisure, but also by decreasing their average levels. A higher level of trend inflation then signifies these changes to produce greater welfare costs. Furthermore, the adverse impacts of policy uncertainty on the economy, documented by the impulse response functions of macroeconomic variables to policy uncertainty shock, become larger when central banks raise their inflation targets. On the other hand, the costs of exogenous variations in trend inflation are larger if there is policy uncertainty.     

US economic policy uncertainty and co-movements between Chinese and US stock markets

This paper investigates the impact of innovations in US economic policy uncertainty on the co-movements of China's A/B stock markets with the US stock market. We show that it is the absolute changes in the US economic policy uncertainty index that have a negative impact on the co-movements. The finding is robust to the asymmetric effects of non-policy-uncertainty shocks, to a break in the correlation structure, and to the four Chinese A/B stock markets investigated. Our results provide the first evidence regarding how stock market correlations are driven by policy-related uncertainty shocks in the international context.     

A Note on Forecasting Emerging Market Exchange Rates: Evidence of Anti‐herding

Using survey forecasts of a large number of Asian, European, and South American emerging market exchange rates, we studied empirically whether evidence of herding or anti‐herding behavior of exchange‐rate forecasters can be detected in the cross‐section of forecasts. Emerging market exchange‐rate forecasts are consistent with herding (anti‐herding) if forecasts are biased towards (away from) the consensus forecast. Our empirical findings provide strong evidence of anti‐herding of emerging market exchange‐rate forecasters.     

Political uncertainty,risk of Frexit and European sovereign spreads

Using data from a prediction market (crowd-based forecasts), we build a daily measure capturing the risk of Frexit related to the 2017 French presidential elections. We study how unexpected changes in this new measure of political uncertainty in France affect European sovereign spreads vis-à-vis Germany. We show that our uncertainty proxy drives not only the French sovereign spread but also the spreads of those EU countries deemed the most vulnerable to the risk of desegregation of the Euro Zone. These results suggest that specific political uncertainty affects short-term investor’s expectations and may outweigh other economic determinants of sovereign spreads shortly prior to high stake elections     

Empirical of the Taiwan stock index option price forecasting model – applied artificial neural network

This work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors. Out of different approaches to estimating volatility in the option pricing model, this study uses backpropagation neural network to forecast prices for Taiwanese stock index options. The ability to develop accurate forecasts of grey prediction volatility enables practitioners to establish an appropriate hedging strategy at in-the-money option.     

Uncertainty and crude oil market volatility: new evidence

ABSTRACT

The main goal of this paper is to investigate the predictability of five economic uncertainty indices for oil price volatility in a changing world. We employ the standard predictive regression framework, several model combination approaches, as well as two prevailing model shrinkage methods to evaluate the performances of the uncertainty indices. The empirical results based on simple autoregression models including only one index suggest that global economic policy uncertainty (GEPU) and US equity market volatility (EMV) indices have significant predictive power for crude oil market volatility. In addition, the model combination approaches adopted in this paper can improve slightly the performances of individual autoregressive models. Lastly, the two model shrinkage methods, namely Elastin net and Lasso, outperform other individual AR-type model and combination models in most forecasting cases. Other empirical results based on alternative forecasting methods, estimation window sizes, high/low volatility and economic expansion/recession time periods further make sure the robustness of our major conclusions. The findings in this paper also have several important economic implications for oil investors.     

Economic policy uncertainty spillovers in small open economies: The case of Hong Kong

This paper studies the extent to which economic policy uncertainty shocks in major economies affect real economic activity in small open economies. We use Hong Kong as a case study. Following Baker, Bloom and Davis (2016), we construct a newspaper‐based economic policy uncertainty index for Hong Kong for the period 1998 to 2016. We estimate international spillovers of uncertainty and find large spillovers of uncertainty from major economies to Hong Kong. Furthermore, using a structural vector autoregressive approach, we show that a rise in domestic economic policy uncertainty leads to tight financial conditions, and lower investment and vacancy posting, dampening domestic output growth.     

The source of global stock market risk: A viewpoint of economic policy uncertainty

This study explores the effect of economic policy uncertainty (EPU) in four countries or regions (China, Japan, Europe, and the United States) on the contagion risk of investments in the global stock market. The stock returns of 22 stock markets worldwide are analyzed to determine which region’s EPU exhibits the greatest effect on regional systematic risk in the global stock market and on volatility risk in individual stock markets. First, all of the samples, the markets of different continents and the spillover indices of the developed and emerging markets, are calculated to observe the dynamic correlation among these markets with the aim of quantifying regional systematic risk and further examining the contagion risk effect of EPU. The results indicate the following: EPU in China is the most influential, and its contagion risk spreads to different regional markets, except for Europe; the effect of EPU in the United States is inferior to that in China; EPU in Japan merely influences contagion risk in emerging markets; contagion risk in European markets is not influenced by the four EPU indices; and EPU in Europe is not influenced by contagion risk in the global stock market. However, according to the volatility risk in each market, the EPU in Europe and China respectively influence Asian countries and European countries the most. These results may be attributable to the extremely high trade dependence among these countries because the performance of international enterprises is mainly determined by the economic policies of their trading partners.     

The interdependence of global oil price,China's stock price and economic policy uncertainty

This investigation examines the interaction among global oil price (OP), China's stock price (SP) and China's economic policy uncertainty (EPU) during the period of 2005:01 and 2017:12. A rolling window Toda‐Yamamoto causality method shows a complex time‐varying relationship. Bilateral causalities between these variables mostly accompany by sharp fluctuations in global or China's economy. Taking into account the inherent consistency of this time‐varying relation, the causal steps approach shows EPU follows a partial but time‐varying mediator process during crisis periods, which suggests EPU is one of mediator variables in this transmission mechanism. The mediator role of EPU in the transmission mechanism of OP and SP has not been paid enough attention before. Our findings provide a new direction for investors from the perspective of policy changes to deal with risks caused by OP and SP fluctuations especially when the financial market experiencing huge fluctuations.     

Cyclicality of commodity markets with respect to the U.S. economic policy uncertainty based on granger causality in quantiles

Given the importance of the U.S. in global commodity markets, the goal is to explore whether U.S. economic policy uncertainty impacts the price performance of certain commodities. The analysis uses the Granger causality in quantiles method that allows us to test whether there are different effects under different market conditions. The results document that economic uncertainty impacts the returns on the commodities considered, with the effects clustering around the tail of their conditional distribution. Robust evidence was obtained under alternative definitions of uncertainty.