Forecasting European economic policy uncertainty

Forecasting the economic policy uncertainty in Europe is of paramount importance given the ongoing sovereign debt crisis. This paper evaluates monthly economic policy uncertainty index forecasts and examines whether ultra‐high frequency information from asset market volatilities and global economic uncertainty can improve the forecasts relatively to the no‐change forecast. The results show that the global economic policy uncertainty provides the highest predictive gains, followed by the European and US stock market realized volatilities. In addition, the European stock market implied volatility index is shown to be an important predictor of the economic policy uncertainty.     

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.     

The effects of economic policy uncertainty on China’s economy: evidence from time-varying parameter FAVAR

ABSTRACT

This article explores the effects of China’s economic policy uncertainty (EPU) on its fiscal policy, monetary policy and a wide range of macro-economic variables using a time-varying parameter FAVAR model. Based on monthly data from 07/2003 to 08/2017, the time-varying structure of the model allows us to capture the time-varying characteristics of the macro-economic variables and which channel is relevant. Empirical results reveal that the reaction of monetary and fiscal policies to EPU is highly asymmetric across macro-economic circumstances. Loose monetary and fiscal policies are adopted in response to EPU shocks during the financial crisis, while policies are moderately tightened after the crisis. The China Interbank Offered Rate (Chibor) responds more sensitively and severely than M2 to EPU shocks. Additionally, EPU shocks have a significant and negative impact on economic growth, consumption, exchange rates, bonds and the stock market, but showing a positive impact on credit, real estate and fixed asset investment (which might be due to China’s special economic market environment and the high investment return). The results indicate that EPU shocks significantly affect macroeconomic fundamentals through precautionary savings and financial market channels but lose their effectiveness through a ‘real options’ effect.     

我国资产价格波动与货币政策关系研究

随着金融自由化的逐步推进,资本市场存量日益增大.这既体现了金融深化程度的提高,又意味着货币供应与国民经济主要指标之间稳定性的弱化.资产价格对货币政策的制订和执行会产生深刻的影响.其中股价、房价等资产价格在货币政策传导机制中扮演的角色越来越重要.本文从实证角度出发,通过构建VAR模型检验我国资产价格对货币政策的反应以及资产价格对货币政策目标的影响,发现资产价格、货币政策及货币政策目标间存在长期协整关系,资产价格对产出有正向冲击作用,股市显著影响通货膨胀,但房地产市场对通货膨胀推动作用不明显,资产价格受货币政策的冲击影响显著,其中股市对货币政策冲击的反应明显大于房地产市场.     

Predictability of sustainable investments and the role of uncertainty: evidence from a non-parametric causality-in-quantiles test

In this article, we examine sustainable investments returns predictability based on the U.S. Dow Jones Sustainability Index (DJSI) and a wide set of uncertainty and financial distress indicators for the period 2002:01–2014:12. To this end, we employ a novel non-parametric causality-in-quantile approach that captures non-linearities in returns distribution. Based on our findings we conclude that the aggregate economic policy uncertainty (EPU) indicator and some components have predictive ability for real returns of the U.S. sustainable investments index. Moreover, if we split our sample to before and after the global financial crisis our results suggest that predictors carry causal information for real returns only in the after-crisis period. Finally, some marginal evidence of predictability from sovereign debt is also observed at the lower and upper ends of the conditional distribution of the real returns of sustainable investments. Our results might entail policy implications for investors and market authorities.     

Impact of asset price fluctuation on China’s monetary policy: An empirical analysis based on quarterly data, 1994–2006

The strenuous fluctuation in global asset price in recent years has had a profound impact on the economic and social development of every country. An empirical analysis indicates that asset prices (the stock price index and real estate prices) are important endogenous variables affecting the interest rate reaction function of central bank monetary policy. With expected inflation as a given, each one percentage point rise in output gap will cause a 0.79 percentage point reduction in interest rates by the central bank and each one percentage point rise in real estate price will result in a 2.2 percentage point rise in interest rates. The stock price index does have an influence on the trends in monetary policy, but it is less salient than the impact of housing prices. We also show that monetary policy that employs asset price as an endogenous variable increases the central bank’s control in seeking to attain its objectives. Therefore we suggest that the central bank should make asset price fluctuation an endogenous variable and incorporate it into its forward-looking interest rate rule, in order to facilitate the healthy development of China’s markets for real estate, stocks and derivatives, energy and bulk commodities and maintain rapid, smooth, sustainable and harmonious economic development.     

Economic policy uncertainty,financial markets and probability of US recessions

We use probit recession forecasting models to assess the ability of economic policy uncertainty indexes developed by Baker et al. (2013) to predict future US recessions. The model specifications include policy indexes on their own, and in combination with financial variables, such as interest rate spreads, stock returns and stock market volatility. Both in-sample and out-of-sample analysis suggests that the policy uncertainty indexes are statistically and economically significant in forecasting recessions at the horizons beyond five quarters. The index based on newspaper reports emerges as the best predictor, outperforming the term spread at the longer forecast horizons.     

Oil price uncertainty and the business cycle: Accounting for the influences of global supply and demand within a VAR GARCH-in-mean framework

ABSTRACT

This article reinvestigates the influence of oil price uncertainty on real economic activity in the United States using a four-variable VAR GARCH-in-mean asymmetric BEKK model. In contrast to previous studies in this area, the analysis focuses on business cycle fluctuations and we control for global supply and demand factors that might affect the real price of oil, its volatility as well as the US economy. We find that – even after accounting for these factors – oil price uncertainty still has a highly significant negative influence on the US business cycle. Our computations show that the effect is economically important during several periods, mostly after a significant variance shift in the mid-1980s. We simultaneously estimate the effect on the global business cycle but find that it is comparatively weak. Finally, significant spillover effects in the GARCH model suggest that oil price volatility is a gauge and channel of transmission of more general macroeconomic shocks and uncertainty. These linkages are particularly strong in case of unexpected bad news.     

Structural oil price shocks and policy uncertainty

Increases in the real price of oil not explained by changes in global oil production or by global real demand for commodities are associated with significant increases in economic policy uncertainty and its four components (the volume of newspaper coverage of policy uncertainty, CPI forecast interquartile range, tax legislation expiration, and federal expenditures forecast interquartile range). Oil-market specific demand shocks account for 31% of conditional variation in economic policy uncertainty and 22.9% of conditional variation in CPI forecast interquartile range after 24 months. Positive oil shocks due to global real aggregate demand for commodities significantly reduce economic policy uncertainty. Structural oil price shocks appear to have long-term consequences for economic policy uncertainty, and to the extent that the latter has impact on real activity the policy connection provides an additional channel by which oil price shocks have influence on the economy. As a robustness check, structural oil price shocks are significantly associated with economic policy uncertainty in Europe and energy-exporting Canada.     

美、日住房金融体系的功能比较及启示

本文从金融功能的角度比较分析认为,美国的住房金融体系以动员储蓄为核心功能,服务于美国经济增长的总体目标,其顺利运行的条件是资产证券化、发达的资本市场和美元强势地位,具有不可复制性;日本的住房金融体系以风险管理为核心功能,其政策性金融通过引导家庭自动分化,对整个住房金融体系风险控制和稳健运行作用重大。我国经济经过30多年的快速发展后,微观主体和住房属性都发生了显著变化,要优化住房金融的功能结构,防范"住专事件"和"次贷危机",促进住房市场持续健康发展。     

Uncertainty in the public debt market and stochastic long-run growth

In a continuous time model, a representative household has to allocate its investment and consumption in an optimal manner under conditions of uncertainty. In the present study it is hypothesized that there are two types of assets: a risk-free and a risky asset. The risk-free asset is assumed to be the physical capital, while at the same time uncertainty is allowed to result from the exogenous random variations in the public debt market, rendering in this way government bonds to act as the risky asset. In the endogenous growth framework with productive public investment, the expected long-run growth rate, the dynamic path of consumption as well as the optimal allocation of investment between a risky and a riskless asset, are analytically derived. This kind of treatment allows us to create a locus for the long-run growth over the various levels of uncertainty. The outcome of the analysis is that a rise in uncertainty impacts negatively upon the long-run growth rate. In order to empirically assess the relationship between growth and uncertainty, we lay our emphasis on the US economy for the period 1957:1 to 2008:4. Within the framework of a bivariate BEKK–GARCH(1,1)-M model a significant negative relationship between uncertainty and economic growth has been established.     

China’s house price: Affected by economic fundamentals or real estate policy?

Many theory and empirical literature conclude that house price can reflect economic fundamentals in the long-term. However, by using China’s panel data of 35 main cities stretching from 1998 to 2007, we find that there is no stable relationship between house price and economic fundamentals. House price has deviated upward from the economic fundamentals since government started macro-control of the real estate market. We consider that the mechanism between the house price and economic fundamentals is distorted by China’s real estate policy, especially its land policy. Meanwhile the policy itself is an important factor in explaining the changes of China’s house price. Then we estimate the dynamic panel data model on house price and the variables which are controlled by real estate policy. The result shows: land supply has negative effects on house price; financial mortgages for real estate have positive effects on house price; and the area of housing sold and the area of vacant housing, which reflects the supply and demand of the housing market, has negative effects on house price. We also find some differences in house price influence factor between eastern and mid-western cities. Finally, we propose policy suggestions according to the empirical results.     

Informational efficiency: ranking markets

Summary. The paper studies informational properties of three types of imperfectly competitive markets: a one-signal speculative market (OSS market) in which agents have only private information about the fundamental value (v) of the risky asset traded, a two-signal speculative market (TSS market) in which agents have private information about both v and the asset supply, and a market in which agents are endowed with both information about v and shares of the risky asset traded. In this last market (JA market), agents have joint activities: they trade for both speculative and hedging purposes. It is shown that (i) the JA market and the OSS market are the most and the least efficient, respectively, and (ii) the levels of informational efficiency in the three markets are inversely correlated with the intensities with which traders use their private information about the fundamental value of the asset. Received May 28, 1999; revised version: May 28, 1999     

Real estate markets and the macroeconomy: A dynamic coherence framework

This paper analyzes the dynamic interactions between real estate markets, in the US and the UK and their macroeconomic environments. We apply a new approach based on a dynamic coherence function (DCF) to study these interactions bringing together different real estate markets (the securitized market, the commercial market and the residential market). The results suggest that there is a common trend that drives the different real estate markets in the UK and the US, particularly in the long run, since they have a similar shape of the DCF. We also find that, in the US, wealth and housing expenditure channels are very conductive during real estate crises. However, in the UK, only the wealth effect is significant as a transmission channel during real estate market downturns. In addition, real estate markets in the UK and the US react differently to institutional shocks. This brings some insights on the conduct of monetary policy in order to avoid disturbances in real estate markets.     

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.     

Economic policy uncertainty and firm investment: evidence from the U.S. market

This paper examines the impact of economic policy uncertainty on firm-level capital investment, by not only delving into the long-term investment-uncertainty relation like previous studies, but also analyzing the short-term investment-uncertainty relation for the U.S. market. The empirical investigations show that firms decrease short-term, long-term, and total firm investments when encountering higher economic policy uncertainties. The research also explores the non-linear investment-uncertainty relation based on various theories. Our findings present a U-shaped relationship between short-term, long-term, and total investments and uncertainties. Policy implications are provided from our empirical results.     

Investments and uncertainty revisited: the case of the US economy

This article examines the relationship between investments and uncertainty for the US economy, as the latter is approximated by consumer sentiment, purchasing managers’ prospects and economic policy uncertainty. Contrary to the existing literature, we provide evidence that this relationship is time varying. The time variation is attributed to the observed temporal replacement effect between private and public investments. Furthermore, we show that there are two distinct correlation regimes in this relationship and unless we concentrate on them, we cannot fully unravel the real link between uncertainty and investments. Finally, we examine whether the use of the two correlation regimes provides better forecasts for investments compared to the use of the uncertainty indices alone. The forecasting exercise reveals that the use of correlation regimes provides statistically superior out-of-sample forecasts.     

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.     

Currency Exposure to Downside Risk: Which Fundamentals Matter?

I study whether or not countries' macroeconomic characteristics are systematically related to their currencies' exposure to the downside market risk. I find that the currency downside risk is strongly associated with the local inflation rate, real interest rate and net foreign asset position. Currencies of countries with high inflation and real interest rates and negative net foreign asset position (debtor countries) are more exposed to the downside risk whereas currencies of countries with low inflation and real interest rates and positive net foreign asset position (creditor countries) exhibit “safe haven” properties. The local real interest rate has the highest explanatory power in accounting for the cross‐section of currency exposure to the downside risk. This suggests that the high currency exposure to the downside risk is a consequence of investments in high‐yield risky countries and flight from them in “hard times”.