Macroeconomic uncertainty,growth and inflation in the Eurozone: a causal approach

In this article, we evaluate the causal relationship between macroeconomic uncertainty indices, inflation and growth rate for 17 Eurozone countries on a county-level examination. In performing a series of linear and nonlinear causality tests, we find little evidence of a causal relationship between uncertainty and macroeconomic variables. Thus, macroeconomic analysis based on uncertainty indices should be treated with caution.     

Could a higher inflation target enhance macroeconomic stability?

Recent international experience with the effective lower bound on nominal interest rates has rekindled interest in the benefits of inflation targets above 2%. We evaluate whether an increase in the inflation target to 3% or 4% could improve macroeconomic stability in the Canadian economy. We find that the magnitude of the benefits hinges critically on two elements: (i) the availability and effectiveness of unconventional monetary policy (UMP) tools at the effective lower bound and (ii) the level of the real neutral interest rate. In particular, we show that when the real neutral rate is in line with the central tendency of estimates, raising the inflation target yields some improvement in macroeconomic outcomes. There are only modest gains if effective UMP tools are available. In contrast, with a deeply negative real neutral rate, a higher inflation target substantially improves macroeconomic stability regardless of UMP.     

On the (mis)specification of seasonality and its consequences: An empirical investigation with US data

It is well known that mis-specification of a trend leads to spurious cycles in detrended data (see, e.g., Nelson and Kang (1981)). Seasonal-adjustment procedures make assumptions, either implicitly or explicitly, about roots on the unit circle both at the zero and seasonal frequencies. Consequently, seasonal-adjustment procedures may produce spurious seasonal variation and other statistically undesirable effects. In this paper we document for a large class of widely used US quarterly macroeconomic series the effects of competing seasonal-adjustment procedures on the univariate time-series properties of the adjusted series. We also investigate which procedures are most appropriate given the properties of the data. Overall, we find very significant differences and evidence that several U.S. macroeconomic time series contain a mixture of deterministic and stochastic seasonal components.     

Utilizing financial market information in forecasting real growth,inflation and real exchange rate

In this paper we build an open economy extension of the Gordon (1962) valuation model that suggests a simple forecasting system for three macroeconomic variables; the real growth, inflation and real exchange rate. All the forecasting equations in our system utilize current financial market information in the form of dividend yields and short-term interest rate. Our empirical results indicate that these simple forms of financial market information are relevant for forecasting the time-varying underlying trends in the macroeconomic data for the U.K., Eurozone and Japan, when treating the U.S. as the world market.     

中国利率期限结构中的宏观经济风险因素分析——基于宏观-金融模型的研究途径

本文应用宏观-金融模型对我国利率期限结构动态过程中的时变宏观经济风险价格进行定量估计,在此基础上,对利率期限结构的预期成分和风险溢价成分进行分解,并且模拟了宏观经济对利率期限结构的冲击效应。研究结果表明,我国利率期限结构中存在着显著的时变宏观经济风险价格;不同期限利率可以明显地分解出预期成分和风险溢价成分,风险溢价成分的变动具有阶段性特点;宏观经济冲击在短期内对利率期限结构的整体水平与坡度均有明显影响,在长期内则仅对整体水平的影响较为明显。因此,我国利率期限结构可以体现出宏观经济形势的变化,应该进一步提高利率期限结构在货币政策制定中的作用。     

Exploring determinants of housing prices: A case study of Chinese experience in 1999–2010

How do macroeconomic variables affect housing prices? In this paper we apply a non-linear modeling approach, the Nonlinear Auto Regressive Moving Average with eXogenous inputs (NARMAX), to investigate determinants of housing prices in China over the period 1999:01 to 2010:06. The NARMAX approach, combined with the famous Vector Error Correction Model (VECM), has an advantage over prevailing methods in that it automatically selects linear and non-linear forms of variables and the numbers of corresponding lags according to statistical properties. Estimation results mainly identify some key monetary and price variables in interpreting housing price dynamics, including most notably mortgage rate, producer price, broad money supply and real effective exchange rate. Meanwhile, real economic variables such as income are not independently significant.     

Large data sets,nonlinearity and the speed of adjustment to real exchange rate shocks

A well known puzzle in international finance concerns the very slow speeds of adjustment of real exchange rates observed in response to shocks. In this article, we explore whether allowing for a wide range of influences on the real exchange rate in a nonlinear framework can help resolve this puzzle. Using, recently proposed econometric methods for summarizing very large macroeconomic data sets into a small number of observable factors, we find that there is a long run relationship between these factors and real exchange rates. When put into a nonlinear framework, we find that allowing for the effects of macroeconomic factors dramatically increases the measured speed of adjustment of the real exchange rate.     

Stylised facts and other empirical evidence on firm dynamics,business cycle and growth

In this paper, we bring together, in a systematised fashion, the scattered empirical evidence relating firm dynamics with both short-run and long-run macroeconomic dynamics. There are numerous studies that focus on firm-level data while controlling for macroeconomic conditions. From these studies a fairly robust set of empirical regularities pertaining to entry, exit, growth and the size distribution of firms has emerged. However, the literature that focuses explicitly on the interplay between firm dynamics and the business cycle is roughly confined to the US experience and to the cyclical properties of firm entry and exit, while the studies about the relationship between firm dynamics and economic growth are limited and unsystematic. We also give a brief account of the most recent theoretical literature on firm dynamics and macroeconomic dynamics, and try to relate it to the empirical findings.     

Business Cycles, the Exchange Rate, and Demand for Antidumping Protection in Mexico

Antidumping actions in the US and EU are known to be linked to macroeconomic conditions. In part, this is because positive injury findings may be easier to make in a downturn, increasing the chance of success for complainants. We explore the evidence for Mexico, one of the main “new” antidumping regimes. Injury determination is also critical in Mexico’s antidumping policy, as a majority of unsuccessful complaints have been rejected because of negative injury findings rather than negative findings of dumping. Working with data from 1987 to 2000, we provide evidence for a relationship between macroeconomic factors and antidumping complaints, including current account and exchange rate movements, and both local and global general macroeconomic conditions.     

Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI

In this paper, we analyze the link between the macroeconomic developments and the banking credit risk in a particular group of countries – Greece, Ireland, Portugal, Spain and Italy (GIPSI) – recently affected by unfavourable economic and financial conditions.Employing dynamic panel data approaches to these five countries over the period 1997q1–2011q3, we conclude that the banking credit risk is significantly affected by the macroeconomic environment: the credit risk increases when GDP growth and the share and housing price indices decrease and rises when the unemployment rate, interest rate, and credit growth increase; it is also positively affected by an appreciation of the real exchange rate; moreover, we observe a substantial increase in the credit risk during the recent financial crisis period. Several robustness tests with different estimators have also confirmed these results.The findings of this paper indicate that all policy measures that can be implemented to promote growth, employment, productivity and competitiveness and to reduce external and public debt in these countries are fundamental to stabilize their economies.     

The macroeconomic drivers in hedge fund beta management

We investigate how macroeconomic indicators alter the dynamic risk exposure of different hedge fund style strategies. We implement a multifactor model to estimate the unobservable time-varying risk exposure conditional on macroeconomic information and a VAR to measure the impact of macroeconomic predictors on different time horizons. Using monthly returns on a cross-section of 10 different style indices from February 1997 to August 2019, we find that, on average, macroeconomic indicators explain approximately 30%, 55%, and 75% of the variability of betas at 1-, 6-, and 36-month horizons, respectively. Although macroeconomic predictors play a critical role at every horizon, at 1 month, the dominating effect comes from idiosyncratic shocks, which indicates that in the short run, hedge fund managers rely mostly on their own reallocation signals. Moreover, consistent with the fundamental drivers of the smart beta factors, we find that the interest rate level and GDP growth similarly impact hedge fund exposures across styles.     

Empirical study relating macroeconomic literacy and rational thinking

We analyze macroeconomic literacy by insights from behavioral economics, while incorporating individual differences in gender, cognitive ability and academic institution. Our sample consists of economic students from two academic institutions in Israel. For statistical analysis, we used Generalized Estimating Equations (GEE). Our main finding is that high-level male students who are prone toward mental accounting have very accurate expectations of inflation, interest rate and unemployment, i.e. they are highly macroeconomic literate. Yet, we found no indication that rational thinkers are more literate than others.     

Heterogeneous expectations and capital intensity in an overlapping-generations model

In this paper we examine the macroeconomic effects of heterogeneous probability beliefs in the context of a modified Diamond-type overlapping-generations model. We derive the effect of an increase in the degree of heterogeneity on the steady-state savings rate, the capital intensity, and welfare.     

Forecasting growth during the Great Recession: is financial volatility the missing ingredient?

The Great Recession endured by the main industrialized countries during the period 2008–2009, in the wake of the financial and banking crisis, has pointed out the major role of the financial sector on macroeconomic fluctuations. In this respect, many researchers have started to reconsider the linkages between financial and macroeconomic areas. In this paper, we evaluate the leading role of the daily volatility of two major financial variables, namely commodity and stock prices, in their ability to anticipate the output growth. For this purpose, we propose an extended MIDAS model that allows the forecasting of the quarterly output growth rate using exogenous variables sampled at various higher frequencies. Empirical results on three industrialized countries (US, France, and UK) show that mixing daily financial volatilities and monthly industrial production is useful at the time of predicting gross domestic product growth over the Great Recession period.     

MONETARY POLICY WITH A WIDER INFORMATION SET: A BAYESIAN MODEL AVERAGING APPROACH

Monetary policy has been usually analyzed in the context of small macroeconomic models where central banks are allowed to exploit a limited amount of information. Under these frameworks, researchers typically derive the optimality of aggressive monetary rules, contrasting with the observed policy conservatism and interest rate smoothing. This paper allows the central bank to exploit a wider information set, while taking into account the associated model uncertainty, by employing Bayesian model averaging with Markov chain model composition. In this enriched environment, we derive the optimality of smoother and more cautious policy rates, together with clear gains in macroeconomic efficiency.     

2001年经济逆风飞扬 2002年机遇挑战并存

2001年,我国GDP增长7.3%,继续保持较快增长的态势,表明国家以扩大内需为主的宏观调控政策是卓有成效的。2002年,机遇大于挑战,只要应对得当,全年经济走势将相对平稳,实现7%的增长速度还是大有希望的。     

JOHN MAYNARD KEYNES MEETS MILTON FRIEDMAN AND EDMOND PHELPS: THE RANGE VERSUS THE NATURAL RATE IN AUSTRALIA, 1965:4 TO 2003:3

In this paper we compare the estimates of the range model in Lye and McDonald (2005a) with estimates of a natural rate model. We find that the range model is superior to the natural rate model according to econometric criteria and economic plausibility. Our estimates of the range model suggest that a significantly lower rate of unemployment is obtainable at the current time by aggregate demand policy, indeed a rate of 3.1 per cent for 2003:3 compared with about 6.5 per cent for the natural rate model. Thus we conclude that basing macroeconomic policy on the natural rate model would underrate the possibilities for economic welfare in Australia.     

Alternate instruments to manage the capital flow conundrum: A study of selected Asian economies

Capital inflows to and outflows from emerging market economies (EME) have increased significantly since 2000. This rapid increase, accompanied by a sharp rise in volatility, has amplified the complexity of macroeconomic management in EME. While foreign capital provides additional financing for productive investment and offers avenues for risk diversification, unbridled flows exacerbate financial and macroeconomic instability. In this paper, we focus on the experience of six emerging Asian economies (EAE) in dealing with capital flows. Using quarterly data, we identify the waves of capital flows experienced by these EAE and the efficacy of the various policy measures taken. The policy choices include negotiating the trilemma (i.e. balancing the need for monetary policy autonomy, exchange rate flexibility and capital account openness), as per the demands of the macroeconomic situation. The paper also analyses the extent to which intervention in the foreign exchange market and imposition of short‐term capital flow management measures have aided countries to negotiate the trilemma. The efficacy of these responses have been varied across countries, implying that a judicious mix of these measures, along with improvement in financial and institutional development, is required to effectively counter the vagaries of capital flows.     

Commodity prices and fiscal policy in a commodity exporting economy

This paper analyzes the macroeconomic effects of commodity price shocks on a commodity exporting country. In doing so, we use a DSGE model developed to describe the business cycle in Chile, a copper exporting country. We compare the effects of commodity-price shocks under different fiscal rules. The results show that if the fiscal policy is conducted in a way such that the government saves most of the extra revenues from the higher commodity price, then the macroeconomic effects of a commodity price increase of 10% are an expansion of output below 0.2% and a real exchange appreciation of 0.5%. In contrast, when fiscal policy is highly expansive, the same commodity price increase implies an output expansion above 0.5% and a real exchange rate appreciation of 0.8%. With our model, we also analyze the effects of persistent reduction in the commodity price, the relevance of exchange rate flexibility and the role of imperfect credibility of the fiscal rule.     

STRUCTURAL BREAKS AND UNIT ROOTS IN AUSTRALIAN MACROECONOMIC TIME SERIES

Abstract.  We examine the unit root properties of 16 Australian macroeconomic time series using monthly data spanning the period 1960–2004. In addition to the standard Augmented Dickey Fuller (ADF) test, we implement one- and two-break endogenous structural break ADF-type unit root tests as well as one- and two-break Lagrange multiplier (LM) unit root tests. While the ADF test provides relatively little evidence against the unit root null hypothesis, once we allow for structural breaks we are able to reject the unit root null for just under half of the variables at the 10% level or better.