Have We Underestimated the Likelihood and Severity of Zero Lower Bound Events?

Prior to the financial crisis, most economists probably did not view the zero lower bound (ZLB) as a major problem for central banks. Using a range of structural and statistical models, we find that previous research understated the ZLB threat by ignoring uncertainty about model parameters and latent variables, focusing too much on the Great Moderation experience, and relying on structural models whose dynamics cannot generate sustained ZLB episodes. Our analysis also suggests that the Federal Reserve's asset purchases, while materially improving macroeconomic conditions, did not prevent the ZLB constraint from having first‐order adverse effects on real activity and inflation.     

A New Method for Identifying the Effects of Foreign Exchange Interventions

Central banks react even to intraday changes in the exchange rate; however, in most cases, intervention data are available only at a daily frequency. This temporal aggregation makes it difficult to identify the effects of interventions on the exchange rate. We apply the Bayesian Markov‐chain Monte Carlo (MCMC) approach to this endogeneity problem. We use “data augmentation” to obtain intraday intervention amounts and estimate the efficacy of interventions using the augmented data. Applying this new method to Japanese data, we find that an intervention of 1 trillion yen moves the yen/dollar rate by 1.8%, which is more than twice as much as the magnitude reported in previous studies applying ordinary least squares to daily observations. This shows the quantitative importance of the endogeneity problem due to temporal aggregation.     

Time series momentum

We document significant “time series momentum” in equity index, currency, commodity, and bond futures for each of the 58 liquid instruments we consider. We find persistence in returns for one to 12 months that partially reverses over longer horizons, consistent with sentiment theories of initial under-reaction and delayed over-reaction. A diversified portfolio of time series momentum strategies across all asset classes delivers substantial abnormal returns with little exposure to standard asset pricing factors and performs best during extreme markets. Examining the trading activities of speculators and hedgers, we find that speculators profit from time series momentum at the expense of hedgers.     

PEOPLING THE VICTORIAN GOLDFIELDS: FROM BOOM TO BUST, 1851–1901

Victoria experienced a surge of migration after the discovery of gold in 1851. I explore the social and geographic background of migrants lured to the colony by opportunities opened up by gold mining. When alluvial gold was exhausted, the skills of migrants enabled them to exploit the more difficult deep lead and quartz reef gold deposits and to establish cities and towns. Urban growth was encouraged by high marriage and birth rates in the 1860s. In the last two decades of the nineteenth century goldfields communities generally suffered economic and demographic declines.     

Optimal vs satisfactory transparency: The impact of global macroeconomic fluctuations on corporate competitiveness

Being able to separate temporary global macroeconomic influences – caused by fluctuations in exchange rates, interest rates and inflation – from intrinsic performance – related to a superior product, production process or management – is crucial to assessing the development of a firm’s competiveness. Against that background, this paper analyzes institutions’ role in making firms supply outside shareholders with relevant information corresponding to satisfactory transparency from the shareholder perspective. Based on a sample of the 100 largest public European firms, it is found that no firm provided information to a level deemed satisfactory by the outside shareholder. One explanation may be that optimal transparency for the firm does not equal satisfactory transparency for the outside shareholder. However, the implementation of IFRS/IAS 1 in the EU as of 2005 and a company’s international cross-listing activities exhibit associations with a better supply of information and a narrowing of the gap. Shareholders in the Anglo-Saxon corporate governance system are provided with more relevant information than those in other corporate governance systems. The paper adds to the literature on the role of institutions in international corporate governance, with a particular focus on information asymmetries in an international business context.     

A nowcasting model for Ecuador: Implementing a time-varying mean output growth

We propose a model to nowcast the annual growth rate of real GDP for Ecuador, whose economy lacks timely macroeconomic information for some key variables and has gone through unstable periods due to its dependence on oil exports. Our specification combines monthly information for 30 macroeconomic and financial variables with quarterly information for real GDP in a mixed-frequency approach. Our setup includes a time-varying coefficient on the mean annual growth rate of output to allow the model to incorporate prolonged periods of low or high growth. The model produces more accurate nowcasts of real output growth in pseudo out-of-sample exercises than a nowcasting model that assumes a constant mean real GDP growth rate. We also conduct sensitivity analyses on our nowcasting model within the time-varying mean setup and find that including financial variables can be detrimental to the performance of the proposed model.     

Economic Globalization and Inflation in China: A Multivariate Approach

This paper evaluates whether globalization has increased the role of global factors in driving inflation in China. Unlike other published studies on the relationship between globalization and inflation, which mostly use Phillips curve models, this paper uses multivariate dynamic models to examine the dynamic interactions between globalization and inflation in China. Empirical results with quarterly data spanning from 1995 to 2012 show that the global output gap significantly affects the dynamics of inflation in China. In particular, the global output gap is superior to the domestic output gap in predicting domestic inflation. Impulse response and variance decomposition analyses reinforce this finding. Our results indicate that the central bank of China should take developments in global output into account in its monetary policy‐making process.     

Where is the GE? Consumption Dynamics in DSGEs

We offer a partial equilibrium perspective on the behavior of consumption in dynamic stochastic general equilibrium (DSGE) models. We consider a benchmark dynamic general equilibrium model and show that a standard calibration implies that the real interest rate is essentially fixed. One manifestation of this feature is that, with separable preferences, the reaction of consumption to total factor productivity (TFP) shocks is flat: the random‐walk permanent income hypothesis holds almost exactly, pretty much as in a partial equilibrium consumption‐savings problem. These results help explain the prominent role of aggregate demand, and how it is achieved, in modern DSGE analysis.     

Efficient forecast tests for conditional policy forecasts

Central Banks regularly make forecasts, such as the Fed’s Greenbook forecast, that are conditioned on hypothetical paths for the policy interest rate. While there are good public policy reasons to evaluate the quality of such forecasts, up until now, the most common approach has been to ignore their conditional nature and apply standard forecast efficiency tests. In this paper we derive tests for the efficiency of conditional forecasts. Intuitively, these tests involve implicit estimates of the degree to which the conditioning path is counterfactual and the magnitude of the policy feedback over the forecast horizon. We apply the tests to the Greenbook forecast and the Bank of England’s inflation report forecast, finding some evidence of forecast inefficiency. Nonetheless, we argue that the conditional nature of the forecasts made by central banks represents a substantial impediment to the analysis of their quality—stronger assumptions are needed and forecast inefficiency may go undetected for longer than would be the case if central banks were instead to report unconditional forecasts.     

Are structural VARs with long-run restrictions useful in developing business cycle theory?

No, unless technology shocks account for virtually all of the fluctuations in output.