我国通胀对股票市场条件波动影响研究

将通胀引入标准GARCH模型,分别研究我国通胀率、通胀率变化和移动平均通胀率对股市条件波动的影响。实证结果表明通胀对我国股票市场条件波动几乎不存在影响,从而否定了通胀会使投资者预期经济变坏,更加厌恶风险,以致引起资产价格剧烈波动的假说。     

Is inflation targeting credible in Asia? A panel GARCH approach

We examine the relationship between inflation targeting and the behavior of the level and volatility of inflation for eight Asian countries over the period 1987–2013. In contrast to existing studies that rely upon time series methods, we employ a novel panel GARCH model that accounts for heterogeneity and interdependence across countries. Our main contribution is to shed new light on the inflation targeting credibility hypothesis based on lower inflation and inflation volatility as well as on the correlation between unanticipated inflation shocks within a panel GARCH framework. We find strong evidence of a reduction in the level of inflation that operates from the impact of actual inflation targets in the Philippines, South Korea and Thailand. We also find that the adoption of inflation targeting helped lower inflation volatility in the Philippines and South Korea. Overall, the results suggest that Asian inflation targeting regimes are more credible in terms of reducing the level of inflation than lowering inflation volatility. There is also evidence that the covariance of inflation shocks among inflation targeting and non-targeting countries tends to increase.     

Spillover Effects of Real and Nominal Uncertainties in India

This paper examines the spillover effects and the causality between inflation, output growth and its uncertainties for India. Using monthly data for the period from April 1980 to April 2011, we estimated a bi-variate GARCH in mean with BEKK representations. This study differs from the earlier works where the parameters in the BEKK representations are estimated individually and the inferences are drawn on the basis of the individual lagged variance, covariance, and error terms from the respective equations. The empirical evidence suggests that inflation uncertainty seems to have significant negative impact on output growth and positive impact on output uncertainty and there is a positive influence of output uncertainty on the inflation. More importantly, there are spillovers and volatility transmission effects between the macroeconomic uncertainties where the volatility in output growth is significantly influenced by the shocks and volatility in inflation.

     

中国通货膨胀及其波动性关系的实证研究

本文利用GARCH模型生成中国通货膨胀波动性的衡量指标,并实证分析1983年1月至2010年4月中国的通货膨胀与通货膨胀波动性之间的关系。结果表明:在中国,通货膨胀率是通货膨胀波动性的Granger原因,通货膨胀对通货膨胀波动性有稳定的正向影响关系,同时相同强度的通货膨胀冲击远远大于通货紧缩冲击对通货膨胀波动性的影响。对中国而言,控制通货膨胀比追求经济增长更重要。     

Conditional price volatility,speculation, and excessive speculation in commodity markets: sheep or shepherd behaviour?

The present study aims to investigate the dynamics of primary commodity spot prices and the role of speculation for the period 1995–2012. Using a linear and nonlinear Granger causality analysis, the relationship between speculation and GARCH conditional price volatility on the one side, and the linkage between excessive speculation and GARCH conditional price volatility on the other side, is carefully examined with the scope to establish whether volatility drives speculation or speculation drives price volatility, or whether there are no linkages between the two variables. The results show that excessive speculation leads conditional price volatility, and that bilateral relationships often exist between price volatility and speculation. In addition, the lead-lag relationships are not found for the entire sample period, but rather when small sub-periods are taken into account. It turns out, in fact, that excessive speculation has driven price volatility for maize, rice, soybeans, and wheat in particular time frames, but the relationships are not always overlapping for all considered commodities. Generally, the results under linear causality tests are in agreement with those obtained under nonlinear counterparts.     

The linkages,persistence, asymmetry in the volatility,the price discovery and efficiency,and the effect of the US subprime mortgage financial crisis on the spot and the futures market’s returns: the case of India

This article examines the effects of persistence, asymmetry and the US subprime mortgage crisis on the volatility of the returns and also the price discovery, efficiency and the linkages and causality between the spot and futures volatility by using various classes of the ARCH and GARCH models, and through the Granger’s causality. We have used two indices: one for spot and the other for futures, for the daily data from 12 June 2000 to 30 September 2013 from Nifty stock indices. We have then tested for ARCH effects, and subsequently employed various models of the ARCH and GARCH conditional volatility. The GARCH(1,1) model is found to be significant, and it implies that the returns are not autocorrelated and have ‘short memory’. It supports the hypothesis of the efficiency of the markets. The negative ‘news’ has more significant effect on volatility, corroborating the ‘leverage impact’ in finance on market volatility. We have also tested the volatility spillover effects. The two methods we employed support the spillover effects and the causality is bidirectional. We also have used the dummy variable for the US subprime mortgage financial crisis and found that they are statistically significant. Indian stock market is thus integrated to the world stock markets.     

Inflation Targeting and Inflation Uncertainty

This article empirically investigates the impact of inflation targeting on inflation uncertainty. We implement PARCH and GARCH methodologies to model conditional variance of inflation. We also investigate the relationship between level and volatility of inflation to analyze the validity of the Friedman hypothesis for IT countries. We find that most of the inflation targeting countries have significantly lower inflation variances after inflation targeting. In most of the IT countries, the relationship is consistent with the Friedman hypothesis.     

Modelling the impact of central bank intervention on exchange rate volatility under inflation targeting

This article empirically investigates the effect of central bank’s foreign exchange interventions on the level and volatility of the Uganda shilling/US dollar exchange rate (UGX/USD) under an inflation-targeting regime. Utilizing daily data spanning the period 1 September 2005, to 31 December 2015, we estimate a foreign exchange intervention model within a GARCH theoretic framework. Empirical results indicate that foreign exchange interventions have had mixed impact on the volatility of the exchange rate. We find that inflation targeting is capable of curbing temporary exchange rate shocks. Empirical results indicate that while order flow is capable of reducing exchange rate volatility, an increase in the operating target rate, the 7-day interbank rate tends to exacerbate exchange rate volatility. Our empirical results are robust to alternative model specifications. We argue that inflation targeting is an effective monetary policy tool for curbing exchange rate volatility.     

Volatility in productivity and the impact on unemployment

Volatility, and the uncertainty it creates, has long been recognized as a factor in economic decision making. Since hiring occurs before shocks to productivity are realized, firms’ investment in new labour is inherently risky. How large a role uncertainty in productivity has on aggregate unemployment is an empirical question that we attempt to answer. In this paper we measure the impact of higher volatility in labour productivity on the unemployment rate in the U.S. economy using a SVAR-GARCH-M model. Using the conditional standard deviation of productivity innovations from a multivariate GARCH model to measure uncertainty, we provide compelling evidence that unemployment increases with volatility. This estimated relative effect is actually larger for positive productivity shocks leading to unemployment declines only 60% as large as would have occurred using models that exclude uncertainty.     

The Dynamics Between Inflation and Inflation Uncertainty: Evidence from India

This study examines the causal nexus between inflation and inflation uncertainty. In this regard, conventional Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models and Stochastic Volatility (SV) models are used to measure inflation uncertainty and Bai and Perron (Econometrica 66:47–78, 1998; J Appl Econom 18:1–22, 2003) test is used to identify structural breaks in inflation. The empirical evidence derived from the monthly data for the period from June 1961 to April 2011 suggests that the measure of inflation uncertainty obtained from SV model is more reliable than the measure obtained from GARCH model and also the causal nexus between inflation and inflation uncertainty seems to be significantly conditional upon the measure of uncertainty used. The structural break test identifies four episodes of inflation during the sample period, and the causality between inflation and its variability varies across different episodes. The inflation and its variance seem to be independent of each other during the first two regimes that cover the period from 1960 to 1980 and on the contrary, during the later period largely bidirectional causality is observed. Further, inflation seems to exert positive impact on inflation uncertainty, whereas inflation uncertainty has negative impact on inflation.

     

Non‐linear effect of exchange rate volatility on exports: the role of financial sector development in emerging East Asian economies

This paper empirically examines the role of financial sector development in influencing the impact of exchange rate volatility on the exports of five emerging East Asian countries – China, Indonesia, Malaysia, the Philippines and Thailand – using a GMM‐IV estimation method. The results indicate that the effect of exchange rate volatility on exports is conditional on the level of financial sector development. The less financially developed an economy, the more its exports are adversely affected by exchange rate volatility. In addition, a stable exchange rate seems to be a necessary condition to achieve export promotion via a currency depreciation in these economies.     

The monetarist versus the neo-Keynesian views on inflation: Some Italian evidence

This empirical inquiry investigates the relative merits of the monetarist and the neo-Keynesian hypotheses regarding the behavior of inflation in the Italian economy over the 1955–1983 period. Based on testing three alternative dynamic models that have been proposed in the literature, the empirical results support the monetarist proposition that unemployment has an insignificant impact upon inflation, a finding that is at odds with the neo-Keynesian hypothesis. Indeed, consistent with the monetarist hypothesis, the results suggest that the rate of monetary expansion is a prime determinant of the rate of inflation and its acceleration in Italy.     

Policy volatility and growth

The paper aims to examine how fiscal and monetary volatility might affect the balanced economic growth rate using a standard monetary growth model characterized by nominal wage rigidity and productive public spending. The model shows that any type of shock — monetary or fiscal — can generate either a negative or positive relationship between short-run volatility and long-run growth, critically depending on the size of government and the elasticity of output with respect to labor/capital. In particular, given the labor income share, it shows that excessive government spending may cause the impact of fiscal volatility on long-run growth to turn from positive to negative. In addition, a rise in the volatility of the monetary shock is capable of generating either an increase or decrease in the mean of growth. With the range of the labor share values in reality, the model produces results consistent with the fact that the relationship between volatility and growth is generally found empirically to be more negative in developing than in developed countries. The model can be seen as a further explanation for the ambiguous empirical evidence in the existing literature.     

亚洲金融危机后亚洲各国汇市的波动特征改变了吗

亚洲金融危机首先爆发在各国的汇市上。危机过后多年,亚洲汇市的波动与危机前的状况有实质性改变吗?本文运用GARCH模型比较了亚洲各国及地区(韩国、泰国、台湾地区、新加坡、日本、印度、马来西亚和中国)汇市波动变化并进行了排序。实证结果表明,亚洲危机后各国汇市波动的方差扩大,冲击的影响在汇市上持续时间也有所延长。其原因是亚洲各国汇市的联动增加了。为了确保在第三国市场的份额,各国都在频繁调整和干预本国汇市。     

Exchange rate volatility and export performance: a cointegrated VAR approach

During the last decades Norwegian exporters have–despite various forms of exchange rate targeting–faced a rather volatile exchange rate which may have influenced their behaviour. Recently, the shift to inflation targeting and a freely floating exchange rate has brought about an even more volatile exchange rate. We examine the causal link between export performance and exchange rate volatility across different monetary policy regimes within the cointegrated Vector Autoregression (VAR) framework using the implied conditional variance from a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model as a measure of volatility. Although treating the volatility measure as either a stationary or a nonstationary variable in the VAR, we are not able to find any evidence suggesting that export performance has been significantly affected by exchange rate uncertainty. We find, however, that volatility changes proxied by blip dummies related to the monetary policy change from a fixed to a managed floating exchange rate and the Asian financial crises during the 1990s enter significantly in a dynamic model for export growth–in which the level of relative prices and world market demand together with the level of exports constitute a significant cointegration relationship. A forecasting exercise on the dynamic model rejects the hypothesis that increased exchange rate volatility in the wake of inflation targeting in the monetary policy has had a significant impact on export performance.     

Stock markets and terrorist attacks: Comparative evidence from a large and a small capitalization market

An expanding body of literature has investigated the economic impact of terrorist attacks. A part of this literature has focused on financial markets. We examine three research questions: whether markets' reactions to terrorism have changed through time; whether market size and maturity determine reactions, and whether reactions depends upon either the type of targets or the perpetrators of the attack. To this effect, a large – the London stock exchange – and a small – the Athens stock exchange – capitalization markets are used as the vehicles for the empirical investigation. Results from an event study methodology as well as from conditional volatility models suggest that size and maturity as well as specific attributes of terrorist incidents are possible determinants of markets' reactions.     

Modelling conditional moments and correlation with the continuous hidden-threshold-skew-normal distribution

A key issue in modelling conditional densities of returns of financial assets is the time-variation of conditional volatility. The classic econometric approach models volatility of returns with the generalized autoregressive conditional heteroscedasticity (GARCH) models where the conditional mean and the conditional volatility depend only on historical prices. We propose a new family of distributions in which the conditional distribution depends on a latent continuous factor with a continuum of states. The distribution has an interpretation in terms of a mixture distribution with time-varying mixing probabilities. The distribution parameters have economic interpretations in terms of conditional volatilities and correlations of the returns with the hidden continuous state. We show empirically that this distribution outperforms its main competitor, the mixed normal conditional distribution, in terms of capturing the stylized facts known for stock returns, namely, volatility clustering, leverage effect, skewness, kurtosis and regime dependence.     

Evidence on inflation–output trade-off in developing and industrial countries

This paper subjects Lucas's output–inflation trade-off study to further empirical investigation. The cross-country study divides the 111 countries covered into 90 developing countries and 21 advanced countries. Lucas's proposition is that volatility of aggregate demand growth should reduce the impact of aggregate demand growth on the cyclical output and the implication of this is that there is no output–inflation trade-off in line with the natural rate theory. We employ annual data over periods that fall between 1958 and 1985 in order to conduct the test. Our findings suggest that Lucas's proposition is valid for developed economies but not for developing economies.     

INFLATION UNCERTAINTY AND GROWTH: EVIDENCE FROM PANEL DATA*

This paper explores empirically the link between inflation uncertainty and economic growth through a panel data analysis with a data set from OECD economies that covers the period from 1969 to 1999 and the GARCH methodology. The main results point out that inflation uncertainty has an adverse impact on economic growth in the majority of the cases under investigation     

货币增长不确定性与通货膨胀不确定性——“波动溢出”假说与实证检验

文章基于通货膨胀——通货膨胀不确定性关系的理论研究,提出货币增长不确定性向通货膨胀不确定性波动溢出的计量检验假说,并利用中国数据,运用多元GARCH模型进行实证检验。结果发现,存在货币增长不确定性显著向通货膨胀不确定性波动溢出的效应。这意味着,货币增长不确定性具有提供有关预测通货膨胀不确定性信息的能力。同时也表明,货币增长不确定性是通货膨胀不确定性的重要解释变量,其重要性不应被忽视。实证结论的政策含义是:减少货币增长不确定性是降低通货膨胀不确定性的重要途径,我国20世纪90年代中后期稳健的货币政策所带来的通货膨胀不确定性显著降低的现实支持了这个观点。