An alternative monetary policy target

For most of the period since the mid-1970s, the Federal Reserve has expressed its monetary policy intentions by announcing the target growth rates of three principal monetary aggregates: the simple-sum M1, M2 and M3. However, the sweeping changes and the deregulation in the financial industry have greatly affected the relevance of these traditional monetary aggregates. The unusual behaviour of the simple-sum monetary aggregates has forced the Federal Reserve to stop setting target range for M1. The measuring of monetary aggregates has become a controversial question. This paper constructs the new-benchmark Divisia monetary indexes which reflect ‘moneyness’ more accurately than the old Divisia indexes. I demonstrate that the historical trends of the Divisia monetary indexes are sensitive to the brenchmark rates chosen in constructing these indexes. In addition, I compare the forecasting performance of the new-benchmark Divisia monetary indexes with the simple-sum and the old Divisia monetary indexes in the estimated money demand functions. I find that the new-benchmark Divisia monetary indexes provide the best statis forecasting performance. The result indicate that the new-benchmark Divisia monetary indexes should be considered as alternative measures of money in studying the relationship between money and the economy.     

The velocity behavior and information content of Divisia monetary aggregates

Monetary aggregates are commonly sums, although summation quantity aggregation is disreputable. We compare summation versus Divisia aggregation of monetary assets. The velocity behavior and the information content of the Divisia index are superior to those of the summation index.     

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.      

Changes in the transmission of monetary policy during crisis episodes: Evidence from the euro area and the U.S.

This paper proposes a bank-based theoretical model for the credit market that accommodates different types of creditors. The equilibrium relationships between monetary aggregates, credit interest rates and real income are derived from banks' optimizing behavior. This model is used to theoretically establish the effects of a crisis on the bank lending channel and, more specifically, on the equilibrium relationships between the main economic and monetary variables. The model is also used to explore the potential effects of unconventional monetary policies focused on reducing risk aversion during crisis episodes. These effects are empirically assessed applying cointegration techniques to macroeconomic data of the euro area and the United States before and after the collapse of the Lehman Brothers. The results support the efficacy of unconventional measures in restoring the conventional transmission channels between monetary aggregates but shed some doubts on the ability of these measures to boost economic activity.     

A two-pillar DSGE monetary policy model for the euro area

The current financial crisis has revived the interest for monitoring both monetary and credit developments. Over the past two decades, consistent with the adoption of inflation targeting strategies by a growing number of central banks and the development of New Keynesian models for which monetary aggregates are largely irrelevant, money and credit have been progressively neglected in the conduct of monetary policy. A striking exception has been the Eurosystem, which has implemented a strategy known as the “two-pillar monetary policy strategy” giving a prominent role for money. In this paper, we develop a small optimizing model based on Ireland (2004), estimated on euro area data and featuring this two-pillar strategy. We evaluate an ECB-style cross-checking policy rule in a DSGE model with real balance effects of money. We find some evidence that indeed money plays a non-trivial role in explaining the euro area business cycle. This provides a rationale for the central bank to factor in monetary developments but also raises some issues regarding the reliability of M3 as an appropriate monetary indicator. We find some evidence that the ECB has systematically reacted to a filtered measure of money growth but weak evidence it has reacted more aggressively during excess money growth periods.     

Currency substitution and economic monetary aggregates: The U.S. Case

Existing analyses of currency substitution rely on the assumption that domestic monetary assets are perfect substitutes for each other. The present paper examines empirically the currency substitution hypothesis using Divisia monetary aggregates which relax the perfect substitutability assumption used in earlier work. The empirical results support the hypothesis of currency substitution for the United States.     

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.     

A divisia system approach to modelling monetary aggregates

A complete system of Divisia partial adjustment asset equations based on the augmented-price expectations Baumol-Tobin inventory and transactions postulates is used to study the dynamic behaviour of monetary aggregates and their components in Australia during 1969.III to 1983.IV. The system provides a new and useful approach to modelling demand-for-money functions for effective monetary policy controls and targetting.     

Currency equivalent monetary aggregates as leading indicators of inflation

This study examines whether the Currency Equivalent (CE) Monetary Aggregates proposed by [Hutt, 1963] and [Rotemberg et al., 1995] can perform better in predicting inflation as compared to their simple sum counterparts. The components of four official measures of monetary constructs - M1, M2, M3 and L1 - are used to construct monthly CE monetary aggregates for the period from April 1993 to June 2009. The empirical evidence indicates that the growth rate of CE aggregates has an edge over their sum counterparts in predicting inflation. Moreover, the predictive power of the growth rates of CE aggregates improves as the level of aggregation increases. These evidences suggest that observing the movements in the growth rates of weighted monetary aggregates can be a better option within the “multiple indicator approach” which is being currently practiced by the Reserve Bank of India.     

The information content of monetary aggregates in the U.K.

This paper presents some results evaluating the information content of several monetary aggregates, formed as simple sums or as Divisia quantity indices. The former tend to dominate the latter; there is considerable support for the new, broader, official monetary aggregate PSL2.     

The application of neural networks to the Divisia index debate: evidence from three countries

If monetary policy is to be effective in controlling the macroeconomy, accurate measurement of the money supply is essential. The conventional way of measuring the level of the money supply is to simply sum the constituent liquid liabilities of banks. However, a more sophisticated, weighted monetary index has been proposed to take account of the varying degrees of liquidity of the short-term instruments included in money. Inferences about the effects of money on economic activity may depend importantly on the choice of monetary index because simple sum aggregates cannot internalize pure substitution effects. This hypothesis is investigated in the current paper. A Divisia index measure of money is constructed for the USA, UK and Italian economies and its inflation forecasting potential is compared with that of its simple sum counterpart in each of the three countries. The powerful Artificial Intelligence technique of neural networks is used to allow a completely flexible mapping of the variables and a greater variety of functional form than is currently achievable using conventional econometric techniques. The application of neural network methodology to examine the money-inflation link is highly experimental in nature and, hence, the overriding feature of this research is one of simplicity. Superior inflation forecasting models are achieved when a Divisia M2 measure of money is used in the majority of cases. This support for Divisia is entirely consistent with findings based on standard econometric techniques reported from the respective central and Federal Reserve banks of each country. Divisia monetary aggregates appear to offer advantages over their simple sum counterparts as macroeconomic indicators. Further, the combination of Divisia measures of money with the artificial neural network offers a promising starting point for improved models of inflation.     

The impact of the ECB's conventional and unconventional monetary policies on stock markets

Using an event study method, we examine how stock markets respond to the policies of the European Central Bank during 1999–2015. We use market prices of futures (government bonds) to identify surprises in (un)conventional monetary policy. Our results suggest that especially unconventional monetary policy surprises affect the EURO STOXX 50 index. We also find evidence for the credit channel, notably for unconventional monetary policy surprises. Our results also suggest that value and past loser stocks show a larger reaction to monetary policy surprises. These results are confirmed if identification of monetary policy surprises is based on the Rigobon–Sack heteroscedasticity approach.     

货币中介目标的国际比较*——基于DAG SVAR模型

学术界围绕最优货币中介目标的选择,在利率、简单加总货币量、迪维西亚货币量之间争论不休。本文基于DAG SVAR模型,分别对美国、欧元区、英国的银行间隔夜拆借利率R、简单加总货币量M2、迪维西亚货币量D2对物价P、产出Y影响的相对重要性进行实证比较。结果发现,在美国,M2对Y的影响最大,R对P的影响最大;在欧元区,D2对Y的影响最大,M2对P的影响最大;在英国,M2对Y和P的影响都最大。总的来说,若货币最终目标是经济增长,则美国、英国的最优中介目标是简单加总货币量,欧元区的最优中介目标是迪维西亚货币量;若货币最终目标是物价稳定,则美国的最优中介目标是利率,欧元区、英国的最优中介目标是简单加总货币量。由此可见,对于不同的经济体或者不同的货币最终目标,最优中介目标的选择可能有所不同。本文的研究结论在一定程度上是对“利率普遍优于货币量,迪维西亚货币量普遍优于简单加总货币量”学术共识的反向补充。     

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.     

Rational expectations and the demand for money: A nonparametric approach

This paper tests the U.S. demand for money for evidence of the effect of rational expectations of the income and interest rate variables that enter as arguments into that function. The data employed are simple-sum and Divisia aggregates, and the nonparametric tests are of the identification and information orthogonality of the various monetary measures. The Akaike Criterion is used to distinguish among the alternative specifications. While non-rationality is the typical result, Divisia aggregates appear to be more “rational” than simple sum. There is evidence of mean-reversion in interest rates as well.     

Divisia monetary aggregates and US GDP nowcasting

ABSTRACT

This article nowcasts US quarterly real GDP growth rate with dynamic factor model (DFM) using Divisia Monetary Aggregate Index, Divisia M1, M2, M3, and exploits information from a large, unbalanced panel data. GDP nowcasting is evaluating the current quarter GDP given the available economic data up to the point when the nowcasting is conducted. GDP data is published quarterly with a substantial lag, while many monetary and financial decisions are made at a higher frequency. Therefore, nowcasting GDP has become an increasingly important task for central banks. This article uses DFM to nowcast GDP, compares the nowcasting results from DFM with the simple sum monetary aggregate M1, M2, M3, to the Model with weighted corresponding Divisia Index, then calculates the contributions of the Divisia Monetary index to US GDP nowcasting.     

The role of banks in the Czech monetary policy transmission mechanism

With this work, I aim to enrich the knowledge about the monetary policy transmission mechanism in the Czech Republic with empirical evidence on the impact of monetary policy on bank lending. Using a panel of quarterly time series for Czech commercial banks for the period 1996–2001, I study the overall effect of monetary policy changes on the growth rate of loans and the characteristics of the supply of loans. The characterization of the credit market's supply side allows us to make inferences on the operativeness of the credit channel (the bank lending channel and the broad credit channel) of the monetary transmission mechanism. I find that changes in monetary policy alter the growth rate of loans, with considerably stronger magnitude in the period 1999–2001 than in the period 1996–1998. From the analysis intended to capture the characteristics of the supply of loans, I conclude that the lending channel was operative in the period 1996–1998: I find cross‐sectional differences in the lending reactions to monetary policy shocks due to the degree of capitalization and to liquidity. For the subsequent period 1999–2001, the results also show distributional effects of monetary policy due to bank size and its bank's proportion of classified loans. In the context of steadily decreasing interest rates, this can bolster the supposition of financial frictions between borrowers and lenders and hence, that of an operative broad credit channel.     

Financial Innovation and Divisia Money in Taiwan: Comparative Evidence from Neural Network and Vector Error-Correction Forecasting Models

In this article a Divisia monetary index is constructed for the Taiwan economy, and its inflation forecasting potential is compared with that of its traditional simple sum counterpart. The Divisia index is adjusted in two ways to allow for the financial liberalization that Taiwan has experienced since the 1970s. The powerful artificial intelligence technique of neural networks is used and is found to beat the conventional econometric techniques in a simple inflation forecasting experiment. The preferred inflation forecasting model is achieved using networks that employ a Divisia M2 measure of money that has been adjusted to incorporate a learning mechanism to allow individuals to gradually alter their perceptions of the increased productivity of money. The explanatory power of the two innovation-adjusted Divisia aggregates dominates that of the simple sum counterpart in the majority of cases. (JEL C4 , E4 , E5 )     

Changing transmission of monetary policy on disaggregate inflation in India

This paper investigates the time-varying effects of monetary policy on aggregate, sectoral, and disaggregate inflation in India from 1997 to 2017 using a large dataset of 439 variables. We find that the effectiveness of a contractionary monetary policy in controlling aggregate inflation has improved over time. This improvement in the policy's effectiveness can be attributed to better transmission through credit and asset price channels. In investigating disaggregate inflation, we find that a contractionary monetary policy is more effective in reducing inflation in the manufacturing sector than in the agricultural sector. Further, the sacrifice ratios in all manufacturing sectors have improved over time. However, the commodities prices of some sectors respond positively after a monetary contraction, which demonstrates the presence of a cost channel in the Indian economy. Our findings suggest that the monetary authority in India should have an interest rate rule that incorporates sectoral inflation and reacts to each with different intensity.     

Data uncertainty and the role of money as an information variable for monetary policy

In this study, we perform a quantitative assessment of the role of money as an indicator variable for monetary policy in the euro area. We document the magnitude of revisions to euro area-wide data on output, prices, and money, and find that monetary aggregates have a potentially significant role in providing information about current real output. We then proceed to analyze the information content of money in a forward-looking model in which monetary policy is optimally determined subject to incomplete information about the true state of the economy. We show that monetary aggregates may have substantial information content in an environment with high variability of output measurement errors, low variability of money demand shocks, and a strong contemporaneous linkage between money demand and real output. As a practical matter, however, we conclude that money has fairly limited information content as an indicator of contemporaneous aggregate demand in the euro area.