Search results

The article aims to establish whether the degree of aversion to inflation and the responsiveness to deviations from potential output have changed over time.

This paper assesses time variation in monetary policy rules by applying a time-varying parameter generalised methods of moments (TVP-GMM) framework.

Using monthly data until December 2022 for five inflation targeting countries (the UK, Canada, Australia, New Zealand, Sweden) and five countries with alternative monetary regimes (the US, Japan, Denmark, the Euro Area, Switzerland), we find that monetary policy has become more averse to inflation and more responsive to the output gap in both sets of countries over time. In particular, there has been a clear shift in inflation targeting countries towards a more hawkish stance on inflation since the adoption of this regime and a greater response to both inflation and the output gap in most countries after the global financial crisis, which indicates a stronger reliance on monetary rules to stabilise the economy in recent years. It also appears that inflation targeting countries pay greater attention to the exchange rate pass-through channel when setting interest rates. Finally, monetary surprises do not seem to be an important determinant of the evolution over time of the Taylor rule parameters, which suggests a high degree of monetary policy transparency in the countries under examination.

It provides new evidence on changes over time in monetary policy rules.

The purpose of this paper is to discuss the potential benefits of monetary policy rules for transition economies (TEs).

The paper discusses monetary policy rules, inflation targeting, political risk and ambiguity and monetary policy and ambiguity.

It is argued that the nominal interest rate may fail to be the appropriate instrument in such rules. One reason is the amount of non‐calculable political and economic risk inherent in TEs. These risks lead to a significant and volatile‐ambiguity premium in the interest rate over and above the normal risk premium, which makes the real equilibrium interest rate difficult to measure. Furthermore, ambiguity of the public regarding the monetary policy leads to an ambiguity premium on inflation.

The paper advocates a simple monetary policy rule based on a monetary aggregate like the money base minimizes the impact of ambiguity. It may therefore be the appropriate monetary policy for TEs.

In this paper, six forms of non-linear Taylor rule have been applied to compare the fitting and prediction of response function of monetary policy of China, in an attempt to figure out a form of non-linear Taylor rule that accords with Chinese practices. The paper aims to discuss this issue.

In this paper, the authors will conduct in-sample fitting and out-of-sample prediction on the response function of monetary policy of China by introducing the factor of exchange rate and by applying forward-looking, backward-looking and within-quarters non-linear Taylor rule with data from the first quarter of 1994 to the second quarter of 2011, with a view to provide reference for formulation and implementation of monetary policies of China.

By analyzing the experimental data, the authors find that first, after introducing the factor of exchange rate, both the implementation effect and prediction ability of the monetary policies improve. Exchange rate has a relatively greater influence on the effect of the monetary policies during low inflation period. Introduction of exchange rate can improve the prediction accuracy of our monetary policies significantly. Second, as the implementation effect of monetary policy under different macro-background varies greatly, the situation should be correctly appraised when formulating and implementing monetary policies. According to the empirical results, the monetary policies have obvious non-linear characteristics, and transit smoothly with the change of inflation rate. On the two sides of inflation rate of 2.174 percent, there is an asymmetry response.

Surely, the conclusions are reached on the basis of quarterly data and one-step prediction method. It is no doubt that use of frequency mixing data including quarterly and monthly data will provide more sample information for studying relevant issues. And the use of multiple-step prediction method may cause a dynamic change of prediction indicators of models, which will help choose more appropriate prediction models. That is what the authors will study next.

First, by introducing exchange rate, this paper will extend non-linear Taylor rules and test its applicability and fitting effect in China. Second, figure out a non-linear Taylor rule that conforms to Chinese practices with data. In this paper, multiple forms of non-linear Taylor rules and actual macro date will be adopted for fitting and finding out a non-linear Taylor rule that fits Chinese practices. Third, empirical basis will be provided for further perfecting monetary policies prediction models. As there are few studies in connection with the prediction accuracy of non-linear Taylor rules so far, this paper will compare and study the prediction accuracy of non-linear Taylor rules by utilizing multiple advanced prediction techniques, so as to offer a beneficial thinking for predicting and formulating monetary policies by the central bank.

This paper aims to provide fresh empirical evidence on how Federal Open Market Committee (FOMC) monetary policy decisions from a benchmark monetary policy rule affect the profitability of US banking institutions.

It thereby provides a link between the literature on central bank monetary policy implementation through monetary rules and banks’ profitability. It uses a novel data set from 11,894 US banks, spanning the period 1990 to 2013.

The empirical findings show that deviations of FOMC monetary policy decisions from a number of benchmark linear and non-linear monetary (Taylor type) rules exert a negative and statistically significant impact on banks’ profitability.

The results are expected to have substantial implications for the capacity of banking institutions to more readily interpret monetary policy information and accordingly to reshape and hedge their lending behaviour. This would make the monetary policy decision process less noisy and, thus, enhance their capability to attach the correct weight to this information.

John Taylor devised a simple monetary policy rule that links the Federal Reserve's policy interest rate with inflation and output targets. This paper compares actual policy rates with the rates that would have been recommended by the basic Taylor Rule for three long periods in U.S. economic history: 1875–1913 (“Pre Fed”), 1914–1951 (“Early Fed”), and 1952–1998 (“Modern Fed”). In addition, the authors develop a more complex version of the Rule to facilitate a comparison of the way in which each monetary authority would have reacted to the economic challenges presented outside its own time period. The empirical evidence suggests that Modern Fed would have reacted more promptly and appropriately to inflation and output problems outside its time period than either Early Fed or Pre Fed, and that the movement of interest rates in the Pre Fed period came closer to the corrective policies of Modern Fed than did those of Early Fed.

We would like to thank C. Y. Chen, Wenchih Lee, two anonymous referees and the seminar participants at the 2000 FMA annual meeting for their helpful comments and encouragement. All of the remaining errors are our responsibility.

This paper aims to estimate a New Keynesian small open economy dynamic stochastic general equilibrium (DSGE) model for Egypt using Bayesian techniques and data for the period FY2004/2005:Q1-FY2015/2016:Q4 to assess monetary and fiscal policy interactions and their impact on economic stabilization. Outcomes of monetary and fiscal authority commitment to policy instruments, interest rate, government spending and taxes, are evaluated using Taylor-type and optimal simple rules.

The study extends the stylized micro-founded small open economy New Keynesian DSGE model, proposed by Lubik and Schorfheide (2007), by explicitly introducing fiscal policy behavior into the model (Fragetta and Kirsanova, 2010 and Çebi, 2011). The model is calibrated using quarterly data for Egypt on key macroeconomic variables during FY2004/2005:Q1-FY2015/2016:Q4; and Bayesian methods are used in estimation.

The results show that monetary and fiscal policy instruments in Egypt contribute to economic stability through their effects on inflation, output and debt stock. The monetary policy Taylor rule estimates reveal that the Central Bank of Egypt (CBE) attaches significant importance to anti-inflationary policy and (to a lesser extent) to output targeting but responds weakly to nominal exchange rate variations. CBE decisions are significantly influenced by interest rate smoothing. Egyptian fiscal policy has an important role in output and government debt stabilization. Additionally, the fiscal authority chooses pro-cyclical government spending and counter-cyclical tax policies for output stabilization. Again, past values of the fiscal instruments are influential in the evolution of the future fiscal policy-making process.

A few studies have examined the interaction between monetary and fiscal policy in Egypt within a unified framework. The presented paper integrates the monetary and fiscal policy analysis within a unified dynamic general equilibrium open economy rational expectations framework. Without such a framework, it would not be easy to jointly analyze monetary and fiscal transmission mechanisms for output, inflation and debt. Also, it would be neither possible to contrast the outcome of monetary and fiscal authorities commitment to a simple Taylor instrument rule vis-à-vis optimal policy outcomes nor to assess the behavior of monetary and fiscal agents in macroeconomic stability in context of an active/passive policy decisions framework.

This paper aims to analyze the macroeconomic effects of a monetary policy shock considering that fiscal policy is under fiscal constraints. For that, a dynamic stochastic general equilibrium (DSGE) model was developed for Brazil, which was estimated through Bayesian econometrics.

In the basic model, the government does not have any type of fiscal restriction. The other two estimated models, however, consider that the fiscal authority implements some kind of fiscal rule. One of these rules is the Constitutional Amendment 95/2016 (EA 95/2016), which includes a limitation for government spending. The other Alternative Rule seeks to represent the characteristics of a more austere fiscal rule, as proposed by Wesselbaum (2017).

It was possible to verify in this paper that the implementation of EA 95/2016 by the Brazilian government does not produce statistically different results and that it reduces the welfare of the households in relation to the scenario without fiscal rule. Thus, the proportionate benefit of EA 95/2016 is less than the cost associated with this fiscal rule (less welfare). If the government adopts a fiscal constraint similar to the Alternative Rule, it is possible to considerably reduce the interaction between fiscal and monetary policy, thereby reducing the fiscal dominance policy over monetary policy. However, the cost in terms of welfare is much higher than the baseline scenario. Thus, the fiscal authority is subject to a trade-off among public debt stabilization and household welfare.

The study intends to contribute to the literature on three specific points. First, the monetary–fiscal policy interaction within a representative model of the Brazilian economy is discussed. In addition, the study considers that the government can adopt EA 95/2016 and the Alternative Rule, used in the US economy. Second, the impacts of EA 95/2016 and the Alternative Rule on household welfare will be quantified. Finally, two types of individuals (Ricardian and non-Ricardian agents) and two sectors of production (wholesalers and retailers) are considered. In this paper, the DSGE model is estimated, since the previously mentioned authors performed simulations

The development of blockchain and cryptocurrency may alleviate the economic strain associated with recession. Economic recessions tend to be aggregate-demand driven, meaning that they are caused by fluctuations in the supply of or demand for money. Holding monetary policy as solution assumes that stability must arise from outside of the economic system. Under a policy regime that allows innovations in blockchain to develop, blockchain technology may promote a money supply that is responsive to changes in demand to hold money. The purpose of this paper is to suggest that cryptocurrencies present an opportunity to profitably implement rules that promote macroeconomic stability. In particular, cryptocurrency that is asset-backed may provide a means for cheaply attaining liquidity during a crisis.

The role of cryptocurrency in promoting macroeconomic equilibrium is approached through the lens of monetary theory. Moves away from macroeconomic equilibrium necessitate either a change in the average price of money or a change in the quantity of money, or a change in portfolio demand for money. Cryptocurrency promotes an increase, however this requires the alignment of policy regulating the use of cryptocurrency, reduction in taxes placed on the use of cryptocurrency and cryptocurrency protocol.

Cryptocurrency is unlikely to become legal tender, but it may alleviate macroeconomic fluctuations as a near money that provides liquidity and whose supply is sensitive to changes in demand to hold money and money-like substitutes. This role might be inhibited if policy stifles the development of cryptocurrencies and blockchain technology.

New financial innovations like cryptocurrencies can be analyzed applying the equation of exchange in light of the mechanics of money creation under conditions of disequilibrium. Monetary disequilibrium may be promoted by policy that causes bottlenecks in financial markets.

Theory of monetary disequilibrium has broad implications for the development and regulation of financial markets. This theory has not been applied to the development of cryptocurrency markets.

The purpose of this paper is to evaluate the performance of six types of policy rules applied for Indonesia, using monthly data spanning January 1980 to December 2008.

This paper uses deterministic simulations on a small macro model and evaluates the policy rules based on the loss function.

Among six types of policy rules, an inflation forecast‐based rule with contemporaneous output gap (IFBG) is found to be the most efficient rule for Indonesia. The rule suggests that the central bank should react strongly to inflation deviations from the target, react moderately to the output gap and smooth the interest rate. The optimal horizon is 3‐4 quarters. Including the exchange rate in the policy rule causes deterioration in economic performance.

No previous study examines Indonesia employing the same methodology.

Questionnaire surveys made at currency markets around the world reveal that currency trade to a large extent not only is determined by an economy's performance or expected performance. Indeed, a fraction is guided by technical trading, which means that past exchange rates are assumed to provide information about future exchange rate movements. The purpose of this paper is to ask how a successful monetary policy should be designed when technical trading in the form of trend following is used in currency trading.

The paper embeds an optimal policy rule into Galí and Monacelli's dynamic stochastic general equilibrium (DSGE) model for a small open economy, which is augmented with trend following in currency trading, to examine the prerequisites for a successful monetary policy. Specifically, the conditions for a determinate rational expectations equilibrium (REE) that also is stable under least squares learning are in focus. The paper also computes impulse‐response functions for key variables to study how the economy returns to steady state after being hit by a shock.

The paper finds that a determinate REE that also is stable under least squares learning often is the outcome when there is a limited amount of trend following in currency trading, but that a more flexible inflation rate targeting in monetary policy sometimes cause an indeterminate REE in the economy. Thus, strict, or almost strict, inflation rate targeting in monetary policy is recommended also when there is technical trading in currency trading and not only when all currency trading is guided by fundamental analysis (in the form of rational expectations). This result is a new result in the literature.

There are already models in the literature on monetary policy design that incorporate technical trading in currency trading into an otherwise standard DSGE model. There is also a huge amount of DSGE models in the literature in which monetary policy is optimal. However, the model in this paper is the first model, to the best of the author's knowledge, where technical trading in currency trading and optimal monetary policy are combined in the same DSGE model.