Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)

Governments, central banks, private firms and others need high frequency information on the state of the economy for their decision making. However, a key indicator like GDP is only available quarterly and that too with a lag. Hence decision makers use high frequency daily, weekly or monthly information to project GDP growth in a given quarter. This method, known as nowcasting, started out in advanced country central banks using bridge models. Nowcasting is now based on more advanced techniques, mostly dynamic factor models. In this paper we use a novel approach, a Factor Augmented Time Varying Coefficient Regression (FA-TVCR) model, which allows us to extract information from a large number of high frequency indicators and at the same time inherently addresses the issue of frequent structural breaks encountered in Indian GDP growth. One specification of the FA-TVCR model is estimated using 19 variables available for a long period starting in 2007–08:Q1. Another specification estimates the model using a larger set of 28 indicators available for a shorter period starting in 2015–16:Q1. Comparing our model with two alternative models, we find that the FA-TVCR model outperforms a Dynamic Factor Model (DFM) model and a univariate Autoregressive Integrated Moving Average (ARIMA) model in terms of both in-sample and out-of-sample Root Mean Square Error (RMSE). Further, comparing the predictive power of the three models using the Diebold-Mariano test, we find that FA-TVCR model outperforms DFM consistently. In terms of out-of-sample forecast accuracy both the FA-TVCR model and the ARIMA model have the same predictive accuracy under normal conditions. However, the FA-TVCR model outperforms the ARIMA model when applied for nowcasting in periods of major shocks like the Covid–19 shock of 2020–21.

     

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。     

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.      

Fiscal dependence on trade taxes and the level of economic development:: a comment

We test for fractional dynamics in US monetary series, their various formulations and components, and velocity series. Using the spectral regression method, we find evidence of a fractional exponent in the differencing process of the monetary series (both simple-sum and Divisia indices), in their components (with the exception of demand deposits, savings deposits, overnight repurchase agreements, and term repurchase agreements), and the monetary base and money multipliers. No evidence of fractional behaviour is found in the velocity series. Granger's (Journal of Econometrics, 25, 1980) aggregation hypothesis is evaluated and implications of the presence of fractional monetary dynamics are drawn.     

A dynamic factor model for nowcasting Canadian GDP growth

This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data. The model is then used to generate nowcasts, predictions of the recent past and current state of the economy. In a pseudo-real-time setting, we show that the DFM outperforms univariate benchmarks, as well as other commonly used nowcasting models, such as MIDAS and bridge regressions.     

A decomposition analysis of CO2 emissions in the United States

This article decomposes the growth in US CO₂ emissions by state. Using the Logarithmic Mean Divisia Index (LMDI) method, we account for CO₂ emissions change in each state between 1990 and 2004. The change is decomposed into five effects: (a) emissions per unit of fossil fuel; (b) share of fossil fuel in total energy consumption; (c) energy intensity; (d) gross state product per capita and (e) population. Results show that for the past 15 years gains in the efficiency of energy use in the economy, the lowering share of fossil fuels in total energy consumption and lowering of emissions intensity of fuels all contributed to offsetting the effect of Gross Domestic Product (GDP) per capita and the population growth in carbon emission across the US.     

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.     

What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control

This paper uses wavelet-based optimal control to simulate fiscal and monetary strategies under different levels of policy restrictions. The model applies the maximal overlap discrete wavelet transform to US quarterly GDP data and then uses the decomposed variables to build a large 80-dimensional state-space linear-quadratic tracking model. Using a political targeting design for the frequency range weights, we simulate jointly optimal fiscal and monetary policy where: (1) both fiscal and monetary policy are dually emphasized, (2) fiscal policy is unrestricted while monetary policy is restricted to achieving a steady increase in the market interest rate, (3) only monetary policy is relatively active, while fiscal spending is restricted to achieving a target growth rate, and (4) monetary policy emphasizes short-run stabilization, while fiscal policy utilizes political cycle targeting. The results show that fiscal policy must be more aggressive when the monetary authorities are not accommodating the fiscal expansion and that the dual-emphasis policy leads to a series of interest rate increases that are balanced between a steadily increasing target and a low, fixed rate. This research is the first to construct integrated fiscal and monetary policies in an applied wavelet-based optimal control setting using US data.     

Impact of US monetary policy rate shock and other external shocks on the Hong Kong economy: A factor‐augmented vector autoregression approach

This paper uses the factor‐augmented vector autoregression framework to study the impact on the Hong Kong economy of the diverging monetary policies by the Fed, the European Central Bank (ECB) and the Bank of Japan as well as the slowdown of the Mainland economy. The empirical results show that shocks in US monetary policy rate mainly affect interest rate‐sensitive sectors in Hong Kong and that monetary easing from the European Central Bank and the Bank of Japan somewhat offsets the impact of tightening of the Fed. The transmission of external shocks is through trade and capital markets. Real variables such as real GDP growth and the unemployment rate are more sensitive to the economic slowdown in Mainland China. It is estimated that the combined effect of the four external shocks will on average lower Hong Kong's quarterly GDP growth by 0.6 percentage points and quarterly inflation by 0.2 percentage points in the first four quarters. However, Hong Kong's financial stability, particularly with regard to loan quality, banks’ capital and liquidity, is well maintained by macroprudential policies, suggesting that Hong Kong's financial system is resilient to external shocks.     

The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey

This paper introduces a new nowcasting model of the French quarterly real GDP growth rate (MIBA), developed at the Banque de France and based on monthly business surveys. The model is designed to target initial announcements of GDP in a mixed-frequency framework. The selected equations for each forecast horizon are consistent with the time frame of real-time nowcasting exercises: the first one includes mainly information on the expected evolution of economic activity, while the second and third equations rely more on information on observed business outcomes. The predictive accuracy of the model increases over the forecast horizon, consistent with the gradual increase in available information. Furthermore, the model outperforms a wide set of alternatives, such as its previous version and MIDAS regressions, although not a specification including also hard data. Further research should evaluate the performance of the MIBA model with respect to promising alternative approaches for nowcasting GDP (e.g. mixed-frequency factor models with targeted predictors), and consider forecast combinations and density forecasts.     

On the demand for money in the United States

One of the current issues in the literature on the demand for money is whether the adjustment of actual to desired money holdings is in real or nominal terms. This paper tests the real against the nominal adjustment hypothesis using United States data. Comparisons are made among simple sum and Divisia aggregates (of M1, M2, M3, and L) and with Spindt's monetary velocity (MQ) aggregate. The results strongly support the nominal adjustment hypothesis, but they do not reveal a single uniformly best monetary aggregate.     

Is PMI Useful in Quarterly GDP Growth Forecasts for India? An Exploratory Note

This paper examines the relationship between India’s quarterly overall GDP, manufacturing GDP and services GDP and the corresponding monthly data on overall manufacturing and services PMI for the period January 2006 to July 2014. The objective is to see if the two overall PMIs are related to the level and quarterly growth rate of overall GDP and its chosen components. Considering the quarterly time series nature of the data set, the HEGY equation of Hylleberg et al. (J Econom 44:215–238, 1990) extended by adding the PMI variables as exogenous regressors is used as the regression mode to relate a GDP level/growth rate variable to the two overall PMI variables. The results show that the three GDP level variables, but none of the GDP growth rate variables, have significant positive correlation with services PMI, but not with manufacturing PMI. Finally, the marginal effect of services PMI on manufacturing GDP level is found to be the largest, followed by that for overall GDP level and services GDP level.

     

Openness and the Effectiveness of Monetary Policy: A Cross-country Analysis

Abstract

This paper evaluates the relationship between a country's openness to trade and the effectiveness of monetary policy in changing output growth and inflation in 29 different countries. Using quarterly data from the 1957–2003 period, empirical estimates based on individual country specifications show that the direction, significance and nature of the relationship between openness and the effectiveness of monetary policy on output growth as well as inflation vary considerably across countries.     

An empirical investigation into the impact of US federal government budget deficits on the real interest rate yield on intermediate-term treasury issues, 1972–2012

This study provides new empirical evidence on the impact of the federal budget deficit on the real interest rate yields on intermediate-term debt issues of the US Treasury, represented herein by the ex post real interest rate yields on 3-year Treasury notes and 7-year Treasury notes, two interest rate measures that have received essentially no attention in the economics and finance literature in recent years. This study is couched within a loanable funds model that includes two ex post real interest rate yields, the monetary base as a per cent of GDP, the change in per capita real GDP, net financial capital inflows as a per cent of GDP and the budget deficit as a per cent of GDP. This study uses annual data for the study period 1972 to 2012, a time period that includes ‘quantitative easing’ monetary policies by the Federal Reserve. Two-stage least squares estimations reveal that the federal budget deficit, expressed as a per cent of GDP, exercised a positive and statistically significant impact on the ex post real interest rate yields on both 3-year and 7-year Treasury notes, even after allowing for quantitative easing and other factors. The study also considers the time period 1980 to 2012 and offers simple robustness testing.     

Disequilibrium as the origin,originality, and challenges of Clower's microfoundations of monetary theory

Abstract

Robert W. Clower's article “A Reconsideration of the Microfoundations of Monetary Theory” (1967) deeply influenced the course of modern monetary economics. On the one hand, it questioned Don Patinkin's (1956) project to integrate monetary and Walrasian value theory. On the other hand, it was the fountainhead of the cash-in-advance models à la Robert J. Lucas (1980), one of the most widely used approaches to monetary theory since the 1980s. Despite this influence, Clower's project to integrate monetary and value theory remains an enigma. My paper intends to resolve it. This is a difficult task since Clower never completed the monetary theory outlined in his 1967 article. To overcome this difficulty, I characterise the intellectual context from which Clower's contribution emerged and have recourse to a reconstruction of his project. This reconstruction is based on the analysis of published and unpublished materials, written by Clower before and after the 1967 article. It is argued that Clower sought to elaborate a disequilibrium monetary theory whilst retaining the two pillars of Patinkin's integration, i.e., the introduction of money into utility functions and the real-balance effect. I trace the origins, account for the originality, and discuss the challenges of this project.     

Monetary Policy and Forecasts for Real GDP Growth: An Empirical Investigation for the Federal Republic of Germany

Using quarterly data for the Federal Republic of Germany, we generate four-quarter-ahead forecasts for real GDP growth. Throughout the 1970s and 1980s, other monetary indicators like real M1 or short-run interest rates clearly outperform forecasts which are based on interest rate spreads. This holds for within as well as for ex-post predictions. The same holds for the development after 1992. Moreover, it is shown that simple forecasts based on M1 or on short-run interest rates outperform the common biannual GNP forecasts of the group of German economic research institutes.     

中国货币政策独立性和有效性检验——基于1994-2004年数据

基于葛兰杰因果方法对1994-2004年中国货币政策独立性和有效性进行的检验结果显示:在独立性方面,利率不是货币数量的葛兰杰原因,说明考察期内中国货币政策总体上保持了对外独立性,否定了钉住汇率制度是造成中国货币政策不独立的先验判断;在有效性方面,仅显示货币数量M0对物价有肯定的正向影响,货币数量M1和利率对产出及物价的影响力均不显著。这意味着货币政策效果不理想的主要原因是中国金融体系发育不成熟、企业治理结构不完善、市场机制不健全等内部因素,而不应归咎于传统钉住汇率制度的外部制约。因此,提高货币政策效果的策略应该是加速金融体系的发展,完善企业治理结构,而不是放弃保持汇率基本稳定的汇率管理方针。     

US inflation and output since the 1970s: a P-star approach

US inflation and output developments since the 1970s are considered using the P-star model and the VAR-based Diebold–Yilmaz spillover index approach. Shocks to monetary variables explain a substantial share of US GDP deflator inflation shocks over time, particularly in the late 1980s and early 1990s but also in recent years, a time when quantitative easing was employed by the Federal Reserve. Monetary factors, and not oil shocks, underlie price developments in the 1970s and early 1980s. Monetary shocks’ influence on oil prices has become noticeably stronger over the past ten years or so, supporting the greater attention being paid of late to the impact of the monetary environment on commodity markets. Shocks to the velocity-of-money variable affect output developments, with the exception of the 1970s and early 1980s when inflation shocks and, to a lesser extent, oil inflation shocks dominate the cross-variance share of output gap shocks. After the Volcker disinflation, the influence of both inflation and oil price shocks on the output gap wane and those of velocity gap shocks increase.     

FORECASTING THE UK/US EXCHANGE RATE WITH DIVISIA MONETARY MODELS AND NEURAL NETWORKS

This paper compares the UK/US exchange rate forecasting performance of linear and nonlinear models based on monetary fundamentals, to a random walk (RW) model. Structural breaks are identified and taken into account. The exchange rate forecasting framework is also used for assessing the relative merits of the official Simple Sum and the weighted Divisia measures of money. Overall, there are four main findings. First, the majority of the models with fundamentals are able to beat the RW model in forecasting the UK/US exchange rate. Second, the most accurate forecasts of the UK/US exchange rate are obtained with a nonlinear model. Third, taking into account structural breaks reveals that the Divisia aggregate performs better than its Simple Sum counterpart. Finally, Divisia‐based models provide more accurate forecasts than Simple Sum‐based models provided they are constructed within a nonlinear framework.