Open Market Operation Effectiveness in China

This paper examines the effectiveness of target rate guidance in open market operation by the central bank in China (PBOC). We find that target rate change in open market operation is effective in adjusting the short-term Treasury rates. The target rate changing direction is more effective than the target rate changing level. There is no significant asymmetry in the effectiveness between the target rate increase and target rate decrease. We also document that the effectiveness of the target rate is conditional on liquidity operation of the same direction, especially when they both aim to loosen the monetary policy. Furthermore, consecutive operations with higher intensity appear to be more effective in adjusting the market interest rate.     

The puzzle of greenhouse gas footprints of oil abundance

The present inquiry lays a groundwork for the analysis of the net greenhouse gas (GHG) footprint of oil in the oil-abundant settings. To address the research question, the study puts forward a three-sector decision model, which provides a common ground for the assessment of the interaction of the structuralist and institutional factors influencing environmental pollution in the oil-reliant economies. The study shows that fossil-fuel abundance triggers forces, which induce diametrically opposed effects concerning atmospheric pollution. These are the rising carbon-intensive oil extraction and processing and fossil-fueled power generation versus shrinkage of the carbon-intensive manufacturing and growth of the low-carbon tertiarization. The theoretical analysis enables compartmentalization of the essential factors, which determine GHG emissions in the respective countries. To assess the significance of the proposed theoretical framework, the study employs multivariate panel co-integration techniques and two-stage fixed effects estimations for a dataset of 38 oil-producing countries for the time period between 1960 and 2018. In contrast to the existing literature, this study drives apart from the black box approaches that employ just one omnibus variable, per capita income.     

Assessing the historical role of credit: Business cycles,financial crises and the legacy of Charles S. Peirce

This paper provides a historical overview of financial crises and their origins. The objective is to discuss a few of the modern statistical methods that can be used to evaluate predictors of these rare events. The problem involves the prediction of binary events, and therefore fits modern statistical learning, signal processing theory, and classification methods. The discussion also emphasizes the need for statistics and computational techniques to be supplemented with economics. The success of a forecast in this environment hinges on the economic consequences of the actions taken as a result of the forecast, rather than on typical statistical metrics of prediction accuracy.     

Seven Fallacies Concerning Milton Friedman's “The Role of Monetary Policy”

This paper analyzes Milton Friedman's (1968a) article “The Role of Monetary Policy,” via a discussion of seven fallacies concerning the article. These fallacies are as follows: (i) “The Role of Monetary Policy” was Friedman's first public statement of the natural rate hypothesis. (ii) The Friedman–Phelps Phillips curve was already present in Samuelson and Solow's (1960) analysis. (iii) Friedman's specification of the Phillips curve was based on perfect competition and no nominal rigidities. (iv) Friedman's (1968a) account of monetary policy in the Great Depression contradicted the Monetary History’s version. (v) Friedman (1968a) stated that a monetary expansion will keep the unemployment rate and the real interest rate below their natural rates for two decades. (vi) The zero lower bound on nominal interest rates invalidates the natural rate hypothesis. (vii) Friedman's (1968a) treatment of an interest-rate peg was refuted by the rational expectations revolution. The discussion lays out the reasons why each of these seven items is a fallacy and infers key aspects of the framework underlying Friedman's (1968a) analysis.     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

The long-run Phillips curve: A structural VAR investigation

Both cointegration methods, and non-cointegrated structural VARs identified based on either long-run restrictions, or a combination of long-run and sign restrictions, are used in order to explore the long-run trade-off between inflation and the unemployment rate in the post-WWII U.S., U.K., Euro area, Canada, and Australia. Overall, neither approach produces clear evidence of a non-vertical trade-off. The extent of uncertainty surrounding the estimates is however substantial, thus implying that a researcher holding alternative priors about what a reasonable slope of the long-run trade-off might be will likely not see her views falsified.     

The Role of Inflation Target Adjustment in Stabilization Policy

How and under what circumstances can adjusting the inflation target serve as a stabilization-policy tool and contribute to welfare improvement? We answer these questions quantitatively with a standard New Keynesian model that includes cost-push-type shocks. Our proposed inflation target rule calls for the target to be adjusted in a persistent manner and in the opposite direction to the realization of a cost-push shock, which is essentially a makeup strategy. The inflation target rule, combined with a Taylor-type rule, significantly reduces inflation fluctuations originating from cost-push shocks and mitigates the stabilization trade-off, resulting in a similar level of welfare to that associated with the Ramsey optimal policy.     

Impact of macroeconomic surprises on the Brazilian yield curve and expected inflation

This study investigates how unexpected announcements in Brazilian and U.S. macroeconomic indicators affect the term structure of nominal interest rates, as well as implicit inflation expectations and real interest rates. Using daily data from March 2005 to December 2012, we employ an extended Vector Error Correction Model to take into account nonstationarity and the long-term equilibrium among different maturities of those curves. We found empirical evidence that macroeconomic surprises, domestic (Brazilian) and external (U.S. American), which lead the market to believe that there might be a higher risk of inflation or an overheated economy, raise nominal interest rates, implicit expected inflation and real interest rates. Surprisingly, in relation to the efficient-market hypothesis, we found that some macroeconomic surprises have a lagged effect on the yield curves. We also tested the impact of the global financial crisis of 2007–09 and found that the crisis affected significantly the direction and magnitude of the responses to macroeconomic news.     

Forecasting economic activity from yield curve factors

This paper provides clear-cut evidence that the slope and curvature factors of the term structure of interest rates (yield curve) contain more information about future changes in economic activity than the term spread itself, often used in the literature as a predictive regressor of economic activity. These two factors reflect different information about future economic activity, which is smoothed out by the term spread. The paper shows that the slope factor has predictive power on future economic activity over longer horizons ahead, and thus may be interpreted as reflecting future business cycle conditions. On the other hand, the curvature factor, which enters the term spread with opposite sign than the slope factor, has predictive power on shorter movements of future economic activity which may be associated with changes in the current stance of monetary policy. These results hold for a number of world developed economies.     

The international diversification-performance link in Spain: Does firm size really matter?

This study provides new insights into the link between international diversification and firm performance in a sample of large manufacturing firms and SMEs based in Spain for the 1994–2008 period. Specifically, the focus is on how the nature and shape of this relationship may vary over time with firm size. The results show the existence of a horizontal-S curve when the whole sample of firms is considered in the empirical analysis. However, major differences are found between SMEs and large firms, and even within the actual group of SMEs. Strong support is found in large firms for the existence of a horizontal-S curve. Within the group of SMEs, there are small firms with a linear and negative relationship, whereas medium-sized firms record a U-shaped form. These findings suggest that as the international diversification-performance link is size-dependent, future research should explicitly consider firm size in order to better understand the nature of this relationship.