Should monetary policy respond to asset price misalignments?

This paper analyses the relationship between monetary policy and asset prices using a structural rational expectations open economy model that allows for the effect of asset prices and exchange rates on aggregate demand. We assume that asset prices and exchange rates follow a partial adjustment mechanism whereas they are positively affected by past changes, thus allowing for ‘momentum trading’, while at the same time we allow for reversion towards fundamentals. We then conduct stochastic simulations using two alternative monetary policy rules, inflation-forecast targeting and the standard Taylor rule. The results indicate that, under both rules, interest rate setting that takes into account asset price misalignments leads to lower overall macroeconomic volatility, as measured by the postulated loss function of the central bank.     

Oil Prices, Terms of Trade Shocks, and Macroeconomic Fluctuations in Saudi Arabia

The article investigates the sources of macroeconomic fluctuations in Saudi Arabia using structural vector autoregression methods and pays particular attention to oil prices and changes in terms of trade. Using a macroeconomic model tailored to the Saudi Arabian economy, the authors identify terms of trade, supply, balance of payments, aggregate demand, and monetary shocks. The results show that the Saudi Arabian price level, real exchange rate, and to a lesser extent output is vulnerable to terms of trade shocks. Moreover, Saudi Arabian terms of trade are driven by output, trade balance, and aggregate demand shocks. To stabilize output and the real exchange rate, Saudi Arabia ought to continue diversifying its production base and aim for a stable nominal oil price. (JEL E32 , Q43 , C22 )     

油价冲击、货币政策调整与产出波动——基于中国的经验证据

本文基于我国2001-2010年宏观经济月度数据,采用SVAR模型分析了国际油价波动时,央行货币政策在排除回应油价干扰与未排除干扰下的反应差异及油价波动对产出的影响。研究发现,在排除货币政策回应油价波动干扰后,通过脉冲响应函数反映的油价波动对产出的短期负面影响消失。方差分解结果显示,长期内产出波动由油价冲击和货币政策解释的比例分别为5716%和32480%,比排除干扰前分别下降了2569%和4560%。这说明我国油价冲击带来的经济衰退主要是因为货币政策及其回应油价冲击紧缩所致。此外,面对油价的短期冲击,CPI指数并未随着生产者购进价格指数上升而上升,产出也未发生明显的衰减;但在较长时间内,油价上升会因为相对价格的改变,而影响CPI水平和货币政策,从而对产出产生显著的负面影响。     

OIL PRICE SHOCKS AND STOCK MARKET BOOMS IN AN OIL EXPORTING COUNTRY

This paper analyses the effects of oil price shocks on stock returns in Norway, an oil-exporting country, highlighting the transmission channels of oil prices for macroeconomic behaviour. To capture the interaction between the different variables, stock returns are incorporated into a structural VAR model. I find that following a 10% increase in oil prices, stock returns increase by 2.5%, after which the effect gradually dies out. The results are robust to different (linear and non-linear) transformations of oil prices. The effects on the other variables are more modest. However, all variables indicate that the Norwegian economy responds to higher oil prices by increasing aggregate wealth and demand. The results also emphasize the role of other shocks; monetary policy shocks in particular, as important driving forces behind stock price variability in the short term.     

Time‐Varying Dynamics of the Norwegian Economy

We use time‐varying parameter vector autoregressive models to investigate possible changes in the time‐series properties of key Norwegian macroeconomic variables since the 1980s. Notably, we find that inflation persistence falls during the inflation targeting period, while the volatility of inflation and nominal exchange rates increases. The observed time‐variation in the correlations between the interest rates and the macro variables largely reflects the prevailing monetary policy regimes. An increase in the correlations between oil prices and other macro variables over time is also documented. Using a counterfactual analysis, we discuss the observed time‐varying dynamics of the Norwegian economy in the light of monetary policy and oil price shocks.     

The optimality of a gulf currency union: Commonalities and idiosyncrasies

A high degree of shared national elements that drive the bulk of observed output volatility between countries is generally seen as a necessary prerequisite for the formation of a successful monetary union. This is because countries in a monetary union accept a one-size-fits all, resigning regions to policies that are based on some aggregate macroeconomic target rather than a country-specific one. For this reason, the cost of monetary union membership depends on the incidence of asymmetric (nation-specific) shocks rather than symmetric, or common shocks. This criteria is examined for the Gulf Cooperation Council (GCC) countries, who reaffirmed plans for the implementation of a single currency. This paper quantifies, using structural factor models with common factor restrictions, changes in output synchronisation, the importance of common factor or idiosyncratic shocks between the regions, and the synchronisation of these shocks across the GCC as well as the implications for GCC-wide macroeconomic policy at short-to-medium term horizons. Despite current difficulties in fulfilling the convergence criteria goals to monetary union, the results show the synchronisation of output growth fluctuations between economies of the GCC to have increased over the past 25 years. This paper also finds that a fairly sizeable proportion of output fluctuations in business cycle frequencies are driven by a common component that, to some degree, reflects U.S. monetary policy and U.S. demand shocks as well as changes in crude oil prices.     

宏观共同因子、特质因子以及货币政策对中国各线城市房价的影响——基于FAVAR模型

运用FAVAR模型,将中国各线城市房价分离出宏观共同因子和特质因子部分,研究了各因子及货币政策对房价的影响。研究发现:大城市的房价更易受宏观共同因子和地区特质因子的影响,且变动的持续性更大;共同因子可在很大程度上解释房价变动的持续性和波动性;共同因子对房价的影响较为持久,而地区特质因子只在短期内影响房价;利率和货币供应量可以有效地影响房价;相比利率,货币供应量对一线和二线城市房价水平的影响更大,对各线城市房价波动的影响更为持久;一线城市的房价水平及其波动对货币政策冲击的敏感度较高,二线城市的敏感度居中,三线城市的敏感度较低;未发现货币政策的"价格之谜"现象,表明本文模型设定的合理性较强。     

Inequality and the business cycle: evidence from U.S. survey data

ABSTRACT

We study the effects of macroeconomic shocks on measures of economic inequality obtained from U.S. survey data. To identify aggregate supply, aggregate demand, and monetary policy shocks, we estimate vector autoregressions and impose sign and zero restrictions on impulse response functions. We find that the effects of the macroeconomic shocks on inequality depend on the type of shock as well as on the measure of inequality considered. Contractionary monetary policy shocks increase expenditure and consumption inequality, whereas income and earnings inequality are less affected. Adverse aggregate supply and demand shocks increase income and earnings inequality, but reduce expenditure and consumption inequality. Our results suggest that different channels dominate in the transmission of the shocks. The earnings heterogeneity channel is consistent with the inequality dynamics after monetary policy shocks, but it appears to be less crucial when the economy is hit by either aggregate supply or aggregate demand shocks. Using variance decompositions, we find that although the macroeconomic shocks account for large shares of the variation in the macroeconomic variables, their contributions to the dynamics of the inequality measures are limited.     

Oil prices and economic downturns: the case of Spain

We address the macroeconomic effects of an oil price shock in Spain. We apply a vector autoregression model (VAR) analysis to quarterly data for the Spanish economy since 1986, to elucidate the effects of variations in the oil price on the economy, considering the three main causes of disruptions in the oil markets: oil supply shocks, oil demand shocks and oil-specific (precautionary) demand shocks. We conclude that the effects in Spain strongly depend on the type of shock: the consumer price index (CPI) has mainly been influenced by oil demand shocks; output has only reacted to oil supply shocks; and monetary policy has mainly reacted after precautionary shocks. Second-round effects caused by the behaviour of nominal wages have not been found. Additionally, we discuss two facts: the ability of firms to increase markups in a context of rising demand and the procyclical role of monetary policy when faced with oil demand shocks.     

Cyclical fiscal rules for oil-exporting countries

Budget-balance tax-gap rules are preferred to other fiscal policy rules to stabilize the macroeconomic volatility and welfare in oil-exporting countries. The output-inflation trade-off is of particular concern for oil exporters relative to non-oil commodity exporters due to the pass through of oil prices into headline inflation which warrants fiscal reaction to crude oil revenue. This result is robust to several instruments satisfying the rule but with reduced efficiency for those instruments that impact potential output such as government investment and capital taxes. These rules are desirable for fixed exchange rate regimes but are unable to achieve the same degree of stability as when coordinated with inflation-targeting monetary policy. Even under optimal inflation-targeting regimes, the adoption of budget-balance tax-gap rules can produce reductions in macroeconomic volatility and welfare gains.     

The Impact of Monetary Policy and Housing-Purchase Restrictions on Housing Prices in China

This paper examines the level and volatility effect of monetary policy on housing prices in China utilizing a novel set of housing price indices constructed by (Fang, H., QuanlinGu, W. X., & Zhou, L.-A. (2015). Demystifying the Chinese housing boom. NBER Macroeconomics Annual 2015, Volume 30. University of Chicago Press.). We find that in the long-run, average housing prices react positively to inflation, money supply and bank lending growth, and negatively to the reserve requirement ratio and benchmark lending rate. Housing prices in Tier 1 cities respond more sensitively to monetary shocks relative to Tier 2 and 3 cities, possibly due to surging demand and limited supply under housing-purchase restrictions (HPR). We further study the volatility effect of monetary shocks using the GARCH model and find that the benchmark lending rate, reserve requirement ratio and money supply growth have strong negative impact on the volatility of housing price growth. Our benchmark results remain robust after incorporating the HPR policy variable in the estimation, with a significant negative effect of HPR on housing price growth in Tier 1 and Tier 2 cities. Lastly, we conclude with recommendations on future monetary policy design and implementation, with a specific focus on the heterogeneous characteristics of China’s housing market.     

Oil shocks and monetary policy rules in emerging economies

We examine the effects of shocks in the oil market on key macroeconomic variables in small open economies using a dynamic stochastic general equilibrium model with sticky prices and imperfect competition under different monetary policy rules. The numerical solutions show that the types of exchange rate regimes and monetary policies could partly explain the trends in macroeconomic volatilities considering negative shocks to oil supply (Hamilton, 1983) and positive shocks to oil demand (Kilian, 2009). These findings are confirmed in vector autoregressive responses for Chile and Israel with inflation targeting under flexible exchange regimes and Hong Kong with fixed regime.     

Euro area,oil and global shocks: An empirical model-based analysis

We assess the impact of oil shocks on euro-area (EA) macroeconomic variables by estimating with Bayesian methods a two-country New Keynesian model of EA and rest of the world (RW). Oil price is determined according to supply and demand conditions in the world oil market. We obtain the following results. First, a 10% increase in the international price of oil generates an increase of about 0.1 annualized percentage points in EA consumer price inflation. Second, the same increase in the oil price generates a decrease in EA gross domestic product (GDP) of around 0.1% and a trade deficit, if it is due to negative oil supply or positive oil-specific demand shocks. Third, it generates a mild EA GDP increase and a trade surplus if due to a positive RW aggregate demand shock. Fourth, the increase in the oil price over the 2004–2008 period did not induce stagflationary effects on the EA economy because it was associated with positive RW aggregate demand shocks. The drop in RW aggregate demand contributes to explain the 2008 fall in oil prices, EA GDP and inflation.     

OPTIMAL MONETARY POLICY AND ASSET PRICE MISALIGNMENTS

This paper analyses the relationship between monetary policy and asset prices in the context of optimal policy rules. The transmission mechanism is represented by a linearized rational expectations model augmented for the effect of asset prices on aggregate demand. Stabilization objectives are represented by a discounted quadratic loss function penalizing inflation and output gap volatility. Asset prices are allowed to deviate from their intrinsic value due to momentum trading. We find that in the presence of wealth effects and inefficient markets, asset price misalignments from their fundamentals should be included in the optimal interest rate reaction function.     

The neutrality of systematic monetary policy in models with a disequilibrium price level

A condition is offered which is necessary and sufficient for the neutrality of aggregate output and the real rate of interest with respect to systematic monetary policy in a general class of stochastic macroeconomic models with rational expectations, additive disturbances, lagged information and a disequilibrium price sequence.     

Oil and the Euro area economy

We examine the macroeconomic effects of different types of oil shocks and the oil transmission mechanism in the Euro area. A comparison is made with the US and across individual member countries. First, we find that the underlying source of the oil price shift is crucial to determine the repercussions on the economy and the appropriate monetary policy reaction. Second, the transmission mechanism is considerably different compared to the US. In particular, inflationary effects in the US are mainly driven by a strong direct pass-through of rising energy prices and indirect effects of higher production costs. In contrast, Euro area inflation reacts sluggishly and is much more driven by second-round effects of increasing wages. The monetary policy reaction of the ECB to oil shocks is also strikingly different compared to the FED. The inflation objective, relative to the output stabilization objective, appears more important for Euro area monetary authorities than for the FED. Third, there are substantial asymmetries across member countries. These differences are due to different labour market dynamics which are further aggravated by a common monetary policy stance which does not fit all.
--- Gert Peersman and Ine Van Robays     

人民币汇率波动与货币政策调控难度

文章采用动态随机一般均衡（DSGE）模型研究了中国货币政策实施时不能忽略的人民币汇率波动特征。文章构建了人民币汇率波动与中国货币政策及其宏观经济系统影响机制的理论模型,并在模型参数校准的基础上进行了政策模拟。研究结果表明,较大的人民币汇率波动会在一定程度上减弱中国货币政策的调控效果,但是对每个变量冲击响应的影响程度有所不同。较大的人民币汇率波动将显著干扰货币政策对宏观经济需求的调控,人民币汇率升值波动幅度较大时,货币政策对需求变量的调控作用会减弱,但不会影响相关需求变量在不同时点的冲击响应走势特征。较大的汇率波动会减弱利率上行对出口的负面影响,有利于缓解货币政策对出口的负面冲击,但会导致贸易条件（出口价格和进口价格的比值）进一步恶化。     

Volatility spillovers and macroeconomic announcements: evidence from crude oil markets

The paper applies an event study methodologyaims to investigate the macroeconomic announcements effects on Standard&Poor’s500 and oil prices. Our results provide evidence for a significant impact of the US macroeconomic news on oil prices. This impact is split into two components, namely the direct effect (common response) and indirect effect (volatility transmission). Altogether our results show that the volatility transmission is bidirectional. Not only a significant volatility transmission from the oil market to the US stock market is revealed, but also a high volatility transmission is recorded from the oil market to the stock market especially after the release of consumption indicators.     

Forecasting house prices using dynamic model averaging approach: Evidence from China

Forecasting house price has been of great interests for macroeconomists, policy makers and investors in recent years. To improve the forecasting accuracy, this paper introduces a dynamic model averaging (DMA) method to forecast the growth rate of house prices in 30 major Chinese cities. The advantage of DMA is that this method allows both the sets of predictors (forecasting models) as well as their coefficients to change over time. Both recursive and rolling forecasting modes are applied to compare the performance of DMA with other traditional forecasting models. Furthermore, a model confidence set (MCS) test is used to statistically evaluate the forecasting efficiency of different models. The empirical results reveal that DMA generally outperforms other models, such as Bayesian model averaging (BMA), information-theoretic model averaging (ITMA) and equal-weighted averaging (EW), in both recursive and rolling forecasting modes. In addition, in recent years it is found that the Google search index, instead of fundamental macroeconomic or monetary indicators, has developed greater predictive power for house price in China.