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.      

Measures of underlying inflation in the euro area: assessment and role for informing monetary policy

The paper evaluates the 24-month-ahead inflation forecasting performance of various indicators of underlying inflation and structural models. Measures derived using the generalized dynamic factor model (GDFM) overperform other measures over the monetary policy horizon and are leading indicators of headline inflation. Trimmed means, although weaker than GDFM indicators, have good forecasting performance, while indicators by permanent exclusion underperform but provide useful information about short-term dynamics. The forecasting performance of theoretically-founded models that relate monetary aggregates, the output gap, and inflation improves with the time horizon but generally falls short of that of the GDFM. A composite measure of underlying inflation, derived by averaging the statistical indicators and the model-based estimates, improves forecast accuracy by eliminating bias and offers valuable insight about the distribution of risks.     

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.     

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.     

Some Thoughts on Monetary Targeting vs. Inflation Targeting

We offer some empirical evidence on the likely scale of control and indicator problems surrounding alternative monetary targets and a direct inflation target. The links between monetary policy actions and inflation are estimated in dynamic linear models using the Kalman filter. We compare alternative intermediate-target and final-target monetary strategies using German data from the end of the Bretton Woods system until 1997. The estimation results show that broad money dominates narrow money as an intermediate target, while control problems involved in targeting broad money are larger than for direct inflation targets.     

Controlling inflation in Euroland

The experience with the two pillar strategy of the European Central Bank (ECB) suggests that at some point in the future the ECB may have to commit to one of the more traditional policy strategies – a direct inflation target or an intermediate monetary target. This study offers some information on the scale of control and indicator problems associated with both strategies. We estimate the links between monetary policy actions and inflation in dynamic linear models with the Kalman filter. Using European M3 that the ECB has published, it is found that the overall control problems involved in targeting money are larger than for direct inflation targets.     

MONEY AND INFLATION IN INDIA: EVIDENCE FROM P‐STAR MODEL

This study uses P‐star model to examine the role of money in explaining inflation in India. In particular, we compare the performance of traditional Phillips curve approach against P‐star model in forecasting inflation. Moreover, the study estimates P‐star model using the alternative measures of money such as simple sum and Divisia M3, to examine the relevance of aggregation theoretic monetary aggregates in explaining inflation. The empirical results indicate that P‐star model with real money gap has an edge over traditional Phillips curve approach in forecasting inflation. More importantly, we found that the P‐star model estimated with Divisia real money gap performs better than its simple sum counterpart. These empirical findings suggest that the changes in real money gap play a crucial role in explaining inflation in India.     

Financial market imperfections and monetary policy strategy

In a model with imperfect money, credit and reserve markets, we examine if an inflation-targeting central bank applying the funds rate operating procedure to indirectly control market interest rates also needs a monetary aggregate as policy instrument. We show that if private agents use information extracted from money and financial markets to form inflation expectations and if interest rate pass-through is incomplete, the central bank can use a narrow monetary aggregate and the discount interest rate as independent and complementary policy instruments to reinforce the credibility of its announcements and the role of inflation target as a nominal anchor for inflation expectations. This study shows how a monetary policy strategy combining inflation targeting and monetary targeting can be conceived to guarantee macroeconomic stability and the credibility of monetary policy. Friedman's k-percent money growth rule, which can generate dynamic instability, and two alternative stabilizing feedback monetary targeting rules are examined.     

Monetary policy arithmetic: reconciling theory with evidence

Abstract.  Empirical evidence indicates that, in countries with low inflation rates, a permanent decrease in inflation rate either has no impact on capital stock and output (superneutrality) or causes them to fall moderately. Existing budget arithmetic models of monetary policy cannot deliver superneutrality. In this paper, we conduct a budget arithmetic analysis of monetary policy using a money demand specification – money in the utility function – that is new to this literature. We find that one simple assumption about utility from money delivers superneutrality, while a more general assumption delivers departures from superneutrality in the direction consistent with the evidence. JEL classification: E60, E13     

货币增长不确定性与通货膨胀不确定性——“波动溢出”假说与实证检验

文章基于通货膨胀——通货膨胀不确定性关系的理论研究,提出货币增长不确定性向通货膨胀不确定性波动溢出的计量检验假说,并利用中国数据,运用多元GARCH模型进行实证检验。结果发现,存在货币增长不确定性显著向通货膨胀不确定性波动溢出的效应。这意味着,货币增长不确定性具有提供有关预测通货膨胀不确定性信息的能力。同时也表明,货币增长不确定性是通货膨胀不确定性的重要解释变量,其重要性不应被忽视。实证结论的政策含义是:减少货币增长不确定性是降低通货膨胀不确定性的重要途径,我国20世纪90年代中后期稳健的货币政策所带来的通货膨胀不确定性显著降低的现实支持了这个观点。     

Monetary policy and efficiency in over‐the‐counter financial trade

We develop a monetary model that incorporates over‐the‐counter (OTC) asset trade. After agents have made their money holding decisions, they receive an idiosyncratic shock that affects their valuation for consumption and, hence, for the unique liquid asset, namely money. Subsequently, agents can choose whether they want to enter the OTC market in order to sell assets and thus boost their liquidity or to buy assets and thus provide liquidity to other agents. In our model, inflation affects not only the money holding decisions of agents, as is standard in monetary theory, but also the entry decision of these agents in the financial market. We use our framework to study the effect of inflation on welfare, asset prices and OTC trade volume. In contrast to most monetary models, which predict a negative relationship between inflation and welfare, we find that inflation can be welfare improving within a certain range, because it mitigates a search externality that agents impose on one another when they make their OTC market entry decision. Also, an increase in the holding cost of money will lead to a decrease in asset prices, a regularity that is well documented in the data and often considered anomalous.     

Response to Seitz and Tödter, 'How the P* Model Rationalizes Monetary Targeting: A Comment on Svensson'

Seitz and TÎdter argue, counter to Svensson, that the P * model provides a rationale for money-growth targeting. In particular, they argue that 'money growth targeting is a special form of inflation forecast targeting based on a "limited" information set. In contrast to "full information" inflation forecast targeting, money growth targeting is likely to be more robust under changing conditions of the real world'.
However, money-growth targeting is better described as a special case of inflation targeting, namely when money growth is considered to be the only predictor of future inflation. But there is overwhelming empirical evidence that there are not only other, but also better, predictors of future inflation than money growth, which makes inflation-forecast targeting superior to money-growth targeting. Inflation-forecast targeting is indeed more robust (in the sense of using available information and allowing judgemental adjustments in a flexible way) than monetary targeting.
In particular, in the P * model, the real money gap is a better predictor of future inflation than money growth, as demonstrated theoretically by Svensson and empirically by Gerlach and Svensson (the empirical finding is also confirmed by Trecroci and Vega). Therefore, inflation-forecast targeting is superior also within the P * model. Under `changing conditions of the real world', for instance after the formation of a monetary union, money growth is likely to be particularly unreliable as a predictor of future inflation, making monetary targeting especially unsuitable and non-robust.     

Search, money, and inflation under private information

I study monetary exchange and inflation when buyers have private information about their willingness to pay for certain goods. Introducing imperfect information in the Lagos-Wright [A unified framework for monetary theory and policy analysis, J. Polit. Economy 113(3) (2005) 463-484] economy shows that the existence of monetary equilibrium is a more robust feature of the environment. In general, my model has a monetary steady state in which only a proportion of the agents hold money. Agents who do not hold money cannot participate in trade in the decentralized market. The proportion of agents holding money is endogenous and depends (negatively) on the level of expected inflation. As in Lagos and Wright's model, in equilibrium there is a positive welfare cost of expected inflation, but the origins of this cost are very different.     

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 )     

Does money have a role in the inflation process? Evidence from Australia

Inflation, defined as a sustained increase in the price level, is considered a monetary phenomenon, as it can be explained within the framework of money‐demand and money‐supply relationships. In the extant literature, money growth is shown to remain causally related to inflation across countries and over time, irrespective of the exchange rate regime and stability of the money‐demand function. Nevertheless, emerging literature suggests a diminishing role of money in the conduct of monetary policy for price stability, especially under inflation targeting. Monetary policy in Australia under inflation targeting since 1993 is an example of policy that denies a relationship between money growth and inflation. The proposition that money does not matter insofar as inflation is concerned seems odd in both theory and the best‐practice monetary policy for price stability. This paper uses annual data for the period 1970–2017 and quarterly data for the period 1970Q1–2015Q1. It deploys both the Johansen cointegration approach and the autoregressive distributed lag (ARDL) cointegration approach to investigate for Australia whether money, real output, prices and the exchange rate (non‐stationary variables) maintain the long‐run price‐level relationship that the classical monetary theory suggests in the presence of such stationary variables as the domestic and foreign interest rates. As expected, the empirical findings for Australia are consistent with the classical long‐run price‐level relationship between money, real output, prices and the exchange rate. The error‐correction model of inflation confirms the presence of a cointegral relationship among these variables; it also provides strong evidence of a short‐run causal relationship between money supply growth and inflation. On the basis of a priori theoretical predictions and empirical findings, the paper draws the conclusion that the monetary aggregate and its growth rate matter insofar as inflation is concerned, irrespective of the strategy of monetary policy for price stability.     

DSGE model-based forecasting of modelled and nonmodelled inflation variables in South Africa

Inflation forecasts are a key ingredient for monetary policy-making – especially in an inflation targeting country such as South Africa. Generally, a typical Dynamic Stochastic General Equilibrium (DSGE) only includes a core set of variables. As such, other variables, for example alternative measures of inflation that might be of interest to policy-makers, do not feature in the model. Given this, we implement a closed-economy New Keynesian DSGE model-based procedure which includes variables that do not explicitly appear in the model. We estimate such a model using an in-sample covering 1971Q2 to 1999Q4 and generate recursive forecasts over 2000Q1 to 2011Q4. The hybrid DSGE performs extremely well in forecasting inflation variables (both core and nonmodelled) in comparison with forecasts reported by other models such as AR(1). In addition, based on ex-ante forecasts over the period 2012Q1–2013Q4, we find that the DSGE model performs better than the AR(1) counterpart in forecasting actual GDP deflator inflation.     

A note of caution on the relation between money growth and inflation

We assess the bivariate relation between money growth and inflation in the euro area and the United States using hybrid time-varying parameter Bayesian VAR models. Model selection based on marginal likelihoods suggests that the relation is statistically unstable across time in both regions. The effect of money growth on inflation weakened notably after the 1980s before strengthening after 2020. There is evidence that this time variation is related to the pace of price changes, as we find that the maximum impact of money growth on inflation is increasing in the trend level of inflation. These results caution against asserting a simple, time-invariant relationship when modeling the joint dynamics of monetary aggregates and consumer prices.     

A dynamic Nelson-Siegel yield curve model with Markov switching

This paper proposes a model to better capture persistent regime changes in the interest rates of the US term structure. While the previous literature on this matter proposes that regime changes in the term structure are due to persistent changes in the conditional mean and volatility of interest rates we find that changes in a single parameter that determines the factor loadings of the model better captures regime changes. We show that this model gives superior in-sample forecasting performance as compared to a baseline model and a volatility-switching model. In general, we find compelling evidence that the extracted factors from our term structure models are closely related with various economic variables. Furthermore, we investigate and find evidence that the effects of macroeconomic phenomena such as monetary policy, inflation expectations, and real economic activity differ according to the particular regime realized for the term structure. In particular, we identify the periods where monetary policy appears to have a greater effect on the yield curve, and the periods where inflation expectations seem to have a greater effect in yield determination. We also find convincing evidence of a relationship between the regimes estimated by the various switching models with economic activity and monetary policy.     

Inflation Dynamics in India: Relative Role of Structural and Monetary Factors

This paper examines the relative role of structural and monetary factors in the variation of inflation in India over the period 1996–1997:Q1 to 2013–2014:Q4. The paper finds that both the monetary factors and the output gap has significant role. The role of the output gap in inflation is found more prominent than the monetary factors like broad money growth, interest rate and change in exchange rate. The depreciation of exchange rate and broad money growth stimulates inflation where as the interest rate is identified as an anti-inflationary monetary instrument. In view of a comprehensive policy for price stability, it is imperative to know the role of sectoral output gap in inflation. The paper, therefore, enquires the relative role of the primary, secondary and tertiary sector output gap in inflation. Output gap of each of these three sectors provokes inflation where the contribution of tertiary sector output gap is found to be the maximum followed by the primary sector and the secondary sector output gap. The prominent role of the output gap and comparatively passive role of monetary factors does not necessarily imply a non-effective monetary policy but suggests that controlling inflation only through the monetary management may not be effective.

     

Forecasting the Direction of Policy Rate Changes: The Importance of ECB Words

This paper evaluates the predictive power of different information sets for the European Central Bank (ECB) interest-rate-setting behaviour. We employ an ordered probit model, i.e. a limited dependent variable framework, to take into account the discreteness displayed by policy rate changes. The results show that the forecasting ability of standard Taylor-type variables, such as inflation and output gap, is fairly low both in-sample and out-of-sample, and is comparable to the performance of the random walk model. Instead by using broader information sets that include measures of core inflation, exchange rates, monetary aggregates and financial conditions, the accuracy of the forecasts about ECB future actions substantially improves. Moreover, ECB rhetoric considerably contributes to a better understanding of its policy reaction function. Finally, we find that that the ECB has been fairly successful in educating the public to anticipate the overall future direction of its monetary policy, but has been less successful in signalling the exact timing of rate changes.