Compression in monetary user costs in the aftermath of the financial crisis: implications for the Divisia M4 monetary aggregate

Differences in Divisia and simple-sum money arise from appropriate weighing mechanisms in Divisia, which rely on information on the user cost of monetary assets. We show convergence in the growth rate of Divisia M4 and its simple-sum counterpart beginning in early 2009, shortly after the collapse in the Federal Funds rate. This phenomenon results from compression in user costs.     

Monetary aggregates and core inflation: evidence from India

This study constructs a model-based core inflation for India using Divisia monetary aggregates instead of traditional money measures with the methodology proposed by Bagliano and Morana (2003) and evaluates its forecasting abilities. The core inflation derived from Divisia monetary aggregates is found to be a better leading indicator of measured inflation than the core inflation derived from traditional money measures. These results argue for a case in favour of using monetary aggregates in the construction of core inflation for policy purposes.     

一个GDP动力学模型与货币金融政策

This article applies a dynamics approach in the research of monetary law of movement under the complex system of social economical operation, and characterizes the movement of money in a social institutional framework during GDP’s formation. Assuming that humans’ pursuit of the return of their money expenditure is a sensible course of nature, it defines the expression of money circulation velocity, and proceeds to deduce the basic differential equation of money circulation. By solving this equation, we can get the expression for a GDP dynamics model. After empirically testing the expression, this article draws a conclusion: GDP and the money in circulation (M₀) share the positive correlation when the monetary financial institution remains unchanged.      

The information content of the divisia monetary aggregates in forecasting inflation in the euro area

The paper investigates the performance of a set of monetary indicators, based on the Divisia money constructed for the euro area, on forecasting euro area inflation. The paper first briefly discusses on the relative information contents of the Divisia aggregates and the simple sum aggregates. The forecasting performance of the former is then examined by means of simulated out-of-sample forecasting. In addition to examining the information contents of the Divisia aggregate constructed for M3 money, the study also examines the performance of the Divisia M1 money to gain evidence on the relative performance between the broad and narrow Divisia monetary aggregates. According to the results, only some of the monetary indicators considered can significantly improve the univariate inflation forecasts. The Divisia M3 money based monetary indicators turned out to perform better than their Divisia M1 based counterparts. The result contradicts some previous evidence on the optimal level on monetary aggregation in the context of broad versus narrow money.      

Consumer preferences,the demand for Divisia money,and the welfare costs of inflation

This paper uses neoclassical demand theory to calculate the welfare costs of inflation. It considers the demand interactions between money, consumption goods, and leisure, relaxes the assumption of fixed consumer preferences, and addresses the inter-related problems of estimation of money demand functions, instability of money demand relations, and monetary aggregation. It makes full use of the relevant economic theory and econometrics and generates inference in terms of long-run welfare costs of inflation that is internally consistent with the data and models used.     

Testing for unit and fractional orders of integration in the trend and seasonal components of US monetary aggregates

Monthly seasonally unadjusted data can exhibit roots with possibly fractional orders of integration, corresponding to the monthly but also to the quarterly and to the long-run or trending components of the series. In this paper we use a procedure which is suitable to test simultaneously for the order of integration of each of these components and apply it to several US monetary aggregates.

Measuring the effectiveness of US monetary policy during the COVID-19 recession

The COVID-19 recession that started in March 2020 led to an unprecedented decline in economic activity across the globe. To fight this recession, policy makers in central banks engaged in expansionary monetary policy. This paper asks whether the measures adopted by the US Federal Reserve (Fed) have been effective in boosting real activity and calming financial markets. To measure these effects at high frequencies, we propose a novel mixed frequency vector autoregressive (MF-VAR) model. This model allows us to combine weekly and monthly information within a unified framework. Our model combines a set of macroeconomic aggregates such as industrial production, unemployment rates, and inflation with high-frequency information from financial markets such as stock prices, interest rate spreads, and weekly information on the Fed's balance sheet size. The latter set of high-frequency time series is used to dynamically interpolate the monthly time series to obtain weekly macroeconomic measures. We use this setup to simulate counterfactuals in absence of monetary stimulus. The results show that the monetary expansion caused higher output growth and stock market returns, more favorable long-term financing conditions and a depreciation of the US dollar compared with a no-policy benchmark scenario.     

Carry trades and US monetary policy

I document that Federal Reserve expansionary monetary policy has a positive impact on the excess returns arising from currency carry trades. I show that expansive monetary surprises are associated with an increase in future real interest differentials between high interest rate currencies and the US dollar, which leads to higher capital flows toward those currencies and an increase in their returns. Since this increase is not fully compensated by a decrease in the returns from the short position in low interest rate currencies, unexpected monetary expansions in the US result in higher carry trade returns.     

GDP nowcasting: application and constraints in a small open developing economy

Despite data limitations, an attempt is made to find out if a GDP nowcasting model can provide reliable forecasts for a small open economy. Two competing Bayesian vector autoregressive models are tested rigorously to obtain the optimal model by minimizing in-sample forecasting errors. The main finding of this study is that GDP nowcasting can produce reliable results for a small open economy despite the unavailability of sufficient data sets and the lack of high frequency indicators.     

Forecasting China's GDP growth using dynamic factors and mixed-frequency data

Forecasting GDP growth is important and necessary for Chinese government to set GDP growth target. To fully and efficiently utilize macroeconomic and financial information, this paper attempts to forecast China's GDP growth using dynamic predictors and mixed-frequency data. The dynamic factor model is first applied to select dynamic predictors among large amount of monthly macroeconomic and daily financial data and then the mixed data sampling regression is applied to forecast quarterly GDP growth based on the selected monthly and daily predictors. Empirical results show that forecasts using dynamic predictors and mixed-frequency data have better accuracy comparing to traditional forecasting methods. Moreover, forecasts with leads and forecast combination can further improve forecast performance.     

Nowcasting Chinese GDP: information content of economic and financial data

This article applies the factor model proposed by Giannone, Reichlin, and Small (2005 Giannone, D., Reichlin, L. and Small, D. 2005. “Nowcasting GDP and inflation: The real time information content of macroeconomic data release”. In Finance and Economic Discussion Series 2005–42, Washington, DC: Board of Governors of the Federal Reserve System.  [Google Scholar]) on a large data set to nowcast (i.e. current-quarter forecast) the annual growth rate of China's quarterly GDP. The data set contains 189 indicator series of several categories, such as prices, industrial production, fixed asset investment, external sector, money market, and financial market. This article also applies Bai and Ng's criteria (2002) to determine the number of common factors in the factor model. The identified model generates out-of-sample nowcasts for China's GDP with smaller mean-squared forecast errors than those of the random walk benchmark. Moreover, using the factor model, we find that interest rate data is the single most important block of information to improve estimates of current-quarter GDP in China. Other important blocks are consumer and retail prices data and fixed asset investment indicators.     

Shadow rates as a measure of the monetary policy stance: Some international evidence

This paper examines the usefulness of shadow rates to measure the monetary policy stance by comparing them to the official policy rates and those implied by three types of Taylor rules in both inflation-targeting countries (the UK, Canada, Australia and New Zealand) and others that have only targeted inflation at times (the United States, Japan, the Euro Area and Switzerland) over the period from the early 1990s to December 2021. Shadow rates estimated from a dynamic factor model are shown to suggest a much looser policy stance than either the official policy rates or those implied by the Taylor rules, and generally to provide a more accurate picture of the monetary policy stance during both ZLB and non-ZLB periods, since they reflect the full range of unconventional policy measures used by central banks. Furthermore, generalised impulse response analysis based on three alternative vector autoregression (VAR) models indicates that monetary shocks based on the shadow rates are more informative than those related to the official policy rates or to two- and three-factor shadow rates, especially during the Global Financial Crisis and the recent COVID-19 pandemic, when unconventional measures have been adopted. Finally, unconventional policy shocks seem to have less persistent effects on the economy in countries, which have adopted an inflation-targeting regime.     

US monetary policy shocks and the Chinese economy: a GVAR approach

Using a global vector auto regressive (GVAR) methodology, this article examines the impact of US monetary policy shocks on China’s major macroeconomic indicators. Our analysis reveals that a positive shock to the US money supply growth rate initially increases China’s inflation rate but after some time this effect completely disappears. This shock also raises China’s short-term interest rate and the Chinese currency appreciates against the US dollar. A positive shock to the US short-term interest rate increases China’s short-term interest rate but the real output growth and inflation rates decline and the Chinese currency appreciates.     

Asymmetric monetary policy rules for the euro area and the US

We analyse the implications of asymmetric monetary policy rules by estimating Markov-switching DSGE models for the euro area (EA) and the US. The estimations show that until mid-2014 the ECB’s response to inflation was more forceful when inflation was above than below the central bank’s aim. Since then, the ECB’s policy can be characterised as symmetric, and we quantify the macroeconomic implications of this policy change. We uncover asymmetries also in the Fed’s policy, which has responded more strongly in times of crisis. We compute optimal simple rules for the EA and the US in an environment with the effective lower bound and a low neutral real rate, and find that it prescribes a stronger response to inflation and the output gap when inflation is below target compared to when it is above target. We document its stabilisation properties had this optimal rule been implemented over the last two decades.     

ECB monetary policy and commodity prices

We assess the impact of ECB monetary policy on global aggregate and sectoral commodity prices over 2001–2019. We employ an SVAR model and separately assess periods before and after the global financial crisis. Our key results indicate that contractionary monetary policy shocks have positive effects on commodity prices during both conventional and unconventional monetary policy periods, indicating the effectiveness of unconventional monetary policy tools. The largest impact is documented on energy (fuel) and food commodities. Our results also suggest that the effect of ECB monetary policy on commodity prices transmits through the exchange rate channel, which influences European market demand.     

The asymmetric effects of investor sentiment and monetary policy on stock prices

We examine the impact of investor sentiment and monetary policy on the stock prices under different market states based on the Markov-switching vector autoregression (MS-VAR) model. The results show that the sentiment shocks, more than monetary policy shocks, lead to not only much larger fluctuations of stock prices but also much longer duration in the stock market downturn than in the stock market expansion, which shows obvious asymmetric effect. Moreover, the responses of stock prices to the sentiment shocks present an immediate effect, while the responses of stock prices to the monetary policy shocks show one-period lag effect.     

Level and dynamics of financial depth: consequences for volatility of GDP

The existing literature documents positive but potentially non-linear relationship between financial depth measured as private credit to GDP ratio and volatility of GDP. In this paper, we extend the analysis by considering also the role of financial depth dynamics. We use dynamic spatial panel models to address the issue of cross-sectional dependence of errors obtained from the standard dynamic panel models. We confirm the non-linear impact of the financial depth level but also find that higher growth rates of financial depth are significantly associated with higher volatility of output. The role of the latter factor is considerably more important in terms of explained variance compared to the impact of the private credit level. These results are robust to changes in the sample range, specification of the model, and measurement of the key variables. We also document considerable differences between the estimates obtained from the standard GMM and the spatial models.     

A monetary vector error correction model of the Euro area and implications for monetary policy

In this paper, a vector error correction model for Euro area money, prices, output, long-term interest rate and short-term interest rate with three identified cointegration relations is specified. It is shown that Euro area money and prices can be considered as variables that are integrated of order two or I(2), that is, they have to be differenced twice to become stationary. Accordingly, the relation between money, prices and other macroeconomic variables is analyzed in an econometric framework which is suited for the analysis of I(2)-variables. Monetary policy implications are derived from the estimated system.First revision received: May 2002/Final revision received: May 2003I thank Helmut Lütkepohl, Jürgen Wolters, and two anonymous referees for helpful comments. Financial support from the Deutsche Forschungsgemeinschaft (SFB 373) is gratefully acknowledged.     

Fiscal and monetary effects on environmental quality,growth, and welfare

This paper examines the effect of fiscal and monetary policies on economic growth, inflation, environmental quality, and welfare. To this end, the horizontal-R&D growth model is extended to include pollution generated in the intermediate-goods production, and the demand for money through cash-in-advance (CIA) constraints on intermediate-goods production and R&D investment. Fiscal policy embodied in the taxation of pollution decreases output, profits, inflation, and wages in the intermediate-goods sector, reallocating labor to R&D that is the engine of economic growth. As it reduces pollution, it increases welfare if there are strong preferences for a clean environment. In turn, since the inflation rate is an increasing function of the nominal interest rate, the effects of changes in this monetary policy variable extend to the effects of changes in the inflation rate. An increase in the nominal interest rate penalizes employment, wages and output in the R&D sector relatively more if the respective CIA constraint is more demanding and thus economic growth decreases. As it also reduces pollution since decreases intermediate-goods production, it increases welfare if the preferences for a clean environment are strong enough.     

Productivity and technical change: Measurement and testing

This paper considers two specifications, namely, the time trend (TT) and general index (GI) of technical change. These models are extended to accommodate the TFP growth accounting relationship in to the econometric model. We also propose a formal test to determine whether the TT or the GI model is appropriate for the data. I would like to thank Badi Baltagi for his comments and Peter Schmidt for suggesting the test proposed in the paper. None, other than me, is responsible for any remaining errors.