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 )     

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.      

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.     

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.     

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.     

Recent monetary policy and the credit card-augmented Divisia monetary aggregates

The main objective of this paper is to examine the information content of the credit card-augmented Divisia monetary aggregates and credit card-augmented Divisia inside monetary aggregates, recently produced by the Center for Financial Stability. We compare the inference ability of the credit card-augmented Divisia monetary aggregates and credit card-augmented Divisia inside monetary aggregates to the conventional Divisia monetary aggregates, at all levels of monetary aggregation. Using cyclical correlations analysis and Granger causality tests, we find that both the conventional Divisia monetary aggregates and the credit card-augmented Divisia monetary aggregates are informative in predicting output. Moreover, during, and in the aftermath of the 2007–2009 financial crisis, the credit card-augmented Divisia measures of money are more informative when predicting real economic activity than the conventional Divisia monetary aggregates. We also find that broad Divisia monetary aggregates provide better measures of the flow of monetary services generated in the economy.     

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。     

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.     

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.     

Monetary policy in the BOF3 quarterly model of the Finnish economy

This paper describes the modelling of monetary policy in BOF3, a quarterly econometric model of Finland built at the Research Department of the Bank of Finland. BOF3 is a 198-equation, ‘amended Keynesian’ model which is used regularly in policy analysis and forecasting at the Bank. The modelling of the Finnish monetary sector has been complicated by the fact that most interest rates applied by the banks have so far been institutionally regulated. In spite of this, model builders have attempted to follow the conventional IS-LM approach as closely as possible, assuming that interest rates equilibrate financial markets outside the banking sector. The reported simulation experiments describe the effects of a change in nomical interest rates, of a change in the domestic money supply, and of a fiscal stimulus with and without monetary accomodation.     

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 causes of bank failures: deflationary spells

Unexpected reductions in inflation induce debtor insolvency and bank failures with lags of up to eight years. Outside money is non-neutral because the default of marginal banks and the rising costs of surviving banks reduce the supply of monetary services.     

Application of local projections in the monetary policy in Brazil

This article examines the relationship between selected monetary aggregates and inflation and output in Brazil. Impulse responses under VAR and local projections were used to discover the leading or lagging role of the monetary aggregates. In addition, the information provided by the monetary aggregates as predictors of output and inflation was examined. This was assessed by examining their predictive power for subsequent observations on an in-sample basis. Overall, the results indicate that in order to control inflation rates, Brazilian authorities should focus on restricting money supply rather than increasing interest rates.     

关于我国货币政策促进经济增长的研究

人民银行货币政策目标是:保持人民币币值稳定并以此促进经济增长,所以搞清楚货币政策与通货膨胀、经济增长的关系就十分必要。通过计量分析可以得出:货币供应量M1的增长是推动GDP增长的主要因素,财政支出增长不是推动GDP增长的因素,但是不能否定其在反经济危机中的巨大作用;货币供应量M1的增长是推动CPI增长的主要因素;在制定货币供应量政策时,既要考虑到推动GDP增长的目的,也要受到CPI上涨的制约,需要在二者之间权衡;在制定利率政策时要研究均衡的利率,实际利率要向均衡利率靠近,并且要随着经济情况的变化及时调整,以达到最大的资本积累量,保证我国的长期经济增长。     

The information content of money in forecasting euro area inflation

This article contributes to the debate on the role of money in monetary policy by analysing the information content of money in forecasting euro-area inflation. We compare the predictive performance within and among various classes of structural and empirical models in a consistent framework using Bayesian and other estimation techniques. We find that money contains relevant information for inflation in some model classes. Money-based New Keynesian Dynamic Stochastic General Equilibrium (DSGE) models and Vector Autoregressions (VARs) incorporating money perform better than their cashless counterparts. But there are also indications that the contribution of money has its limits. The marginal contribution of money to forecasting accuracy is often small, money adds little to dynamic factor models, and it worsens forecasting accuracy of partial equilibrium models. Finally, nonmonetary models dominate monetary models in an all-out horserace.     

后金融危机的货币供给过剩及其效应

本文针对我国货币政策的操作特征,使用阈值协整方法扩展现有的货币需求模型,度量后金融危机时期的货币供给过剩及其对通胀与经济增长的非线性调节效应,并进而设定广义脉冲响应函数揭示货币供给过剩对通胀与经济增长的冲击效应。主要结论为:2009年第三季度以后,我国货币供给过剩且过剩幅度快速增加,其中名义M1过剩12.56%,名义M2过剩11.31%。2009Q3—2010Q3我国处于货币供给过剩机制下,在该机制下,央行谨慎地实施从紧货币政策,从紧货币政策对通胀和经济增长的调节效应相对较强。货币供给过剩对通胀和经济增长的冲击在前2年为正值,在随后近3年为负值。这说明我国现阶段适度宽松货币政策的退出必须谨慎,退出速度不宜过快。     

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.     

THE DISTRIBUTION OF MONEY AND PRICES IN SEARCH EQUILIBRIUM*

This article considers a search‐theoretic model of monetary exchange. Agents bargain over both the amount of money and the quantity of goods to be exchanged in bilateral meetings, determining endogenously the distributions of money and of prices. I show that money is neutral if changes in the money supply are accomplished via proportional transfers. However, within the class of lump‐sum transfers, an increase of the rate of monetary expansion tends to decrease the dispersion of wealth and prices and to improve welfare when inflation is low; but when inflation is high enough, the opposite effects occur.     

A composite leading indicator of the inflation cycle for the Euro area

We evaluate the performance of composite leading indicators of turning points of inflation in the Euro area, constructed by combining the techniques of Fourier analysis and Kalman filters with the National Bureau of Economic Research methodology. In addition, the study compares the empirical performance of Euro Simple Sum and Divisia monetary aggregates and provides a tentative answer to the issue of whether or not the UK should join the Euro area. Our findings suggest that, first, the cyclical pattern of the different composite leading indicators very closely reflect that of the inflation cycle for the Euro area; second, the empirical performance of the Euro Divisia is better than its Simple Sum counterpart and third, the UK is better out of the Euro area.     

中国货币供给与通货膨胀的关联性研究

关于货币供给与通货膨胀的关联性,学者们还没有形成一致的看法.理论上,货币供给与通货膨胀具有一定的关联性.通货膨胀有需求拉动型和成本推动型,在通货膨胀的原因中有“货币因素”,也有“非货币因素”.实证检验表明:中国货币供应量与物价指数不存在长期的稳定均衡关系,但货币供应量是物价指数的格兰杰原因,反之则不然.事实上,中国通货膨胀或通货膨胀压力一方面是与货币供给有关,另一方面还与结构性因素有关.因此,要实现中国经济的低通胀运行:一是实行总量均衡和结构合理的货币供给模式;二是采取更有效的货币政策;三是推进经济结构调整,实现国际收支平衡;四是深化金融体系改革,增强中央银行货币控制能力;五是进行汇率机制改革;六是通过财政政策调整供需结构.