Trend Inflation and the Nature of Structural Breaks in the New Keynesian Phillips Curve

We show that with a unit root in inflation, the new Keynesian Phillips curve (NKPC) implies an unobserved components model with a stochastic trend component and an inflation gap. Our empirical results suggest that with an increase in trend inflation during the Great Inflation, the response of inflation to real economic activity decreases and the persistence of the inflation gap increases due to an increase in the persistence of the unobserved stationary component. These results are in line with the predictions of Cogley and Sbordone ( 2008 ), who show that the coefficients of the NKPC are functions of time‐varying trend inflation.     

Inflation Dynamics and the New Keynesian Phillips Curve in Four Central European Countries

This paper seeks to shed light on the inflation dynamics of four new central European EU members: the Czech Republic, Hungary, Poland, and Slovakia. To this end, the New Keynesian Phillips curve augmented for open economies is estimated and additional statistical tests applied, with the following results: (1) the claim of New Keynesians that the real marginal cost is the main inflation-forcing variable is fragile, (2) inflation seems to be driven by external factors, and (3) although inflation holds a forward-looking component, the backward-looking component is substantial. An intuitive explanation for higher inflation persistence may be adaptive, rather than rational price setting of local firms.     

Inflation and output in New Keynesian models with a transient interest rate peg

A familiar result in the canonical Dynamic New Keynesian (DNK) model is that policymakers constrained by the zero bound can improve outcomes by promising to keep rates low after the zero bound is not binding. We examine a general class of interest rate pegs in a variety of DNK models. Standard versions of the model produce counterintuitive reversals where the effect of the interest rate peg can switch from highly expansionary to highly contractionary for modest changes in the length of the interest rate peg. This unusual behavior does not arise in sticky information models of the Phillips curve.     

Fiscal Sustainability in a New Keynesian Model

Recent work on optimal monetary and fiscal policy in New Keynesian models suggests that it is optimal to allow steady‐state debt to follow a random walk. In this paper we consider the nature of the time inconsistency involved in such a policy and its implication for discretionary policymaking. We show that governments are tempted, given inflationary expectations, to utilize their monetary and fiscal instruments in the initial period to change the ultimate debt burden they need to service. We demonstrate that this temptation is only eliminated if following shocks, the new steady‐state debt is equal to the original (efficient) debt level even though there is no explicit debt target in the government's objective function. Analytically and in a series of numerical simulations we show which instrument is used to stabilize the debt depends crucially on the degree of nominal inertia and the size of the debt stock. We also show that the welfare consequences of introducing debt are negligible for precommitment policies, but can be significant for discretionary policy. Finally, we assess the credibility of commitment policy by considering a quasi‐commitment policy, which allows for different probabilities of reneging on past promises.     

Robustly optimal monetary policy in a microfounded New Keynesian model

We consider optimal monetary stabilization policy in a New Keynesian model with explicit microfoundations, when the central bank recognizes that private-sector expectations need not be precisely model-consistent, and wishes to choose a policy that will be as good as possible in the case of any beliefs close enough to model-consistency. We show how to characterize robustly optimal policy without restricting consideration a priori to a particular parametric family of candidate policy rules. We show that robustly optimal policy can be implemented through commitment to a target criterion involving only the paths of inflation and a suitably defined output gap, but that a concern for robustness requires greater resistance to surprise increases in inflation than would be considered optimal if one could count on the private sector to have “rational expectations.”     

The cost of deviating from the optimal monetary policy: A panel VAR analysis

Exploiting the panel VAR GMM estimator's features, macroeconomic country factors are combined with micro-economic bank data to test for the risk taking channel in the Euro Area. According to prior expectations based on an extended DSGE model, the analysis demonstrates that the monetary policy incentives bank risk taking by increasing the bank leverage, but it is not able to influence the level of credit risk. However, deeper investigations indicates the Taylor gap adds to the bank risk appetite in all its forms, while regarding the reactions to target variables, movements in the interest rate smooth the bank risk.     

FX Intervention in the New Keynesian Model

We develop an open-economy New Keynesian Model with foreign exchange (FX) intervention in the presence of a financial accelerator and shocks to risk appetite in international capital markets. We obtain closed-form solutions for optimal monetary and FX intervention policies assuming the central bank cannot commit to future policies, and we compare the solution to that under policy commitment. We show how FX intervention can help reduce the volatility of the exchange rate, of inflation, and of the output gap, thus mitigating welfare losses associated with shocks in the international capital markets. We also show that, when the financial accelerator is strong, there is a risk of indeterminacy (self-fulfilling currency and inflation movements) although FX intervention can reduce this risk and thus reinforce the credibility of the inflation targeting regime. Model simulations match well the impact of a VIX shock obtained by local projections on a panel of inflation targeting emerging markets.     

Monetary Policy Estimation in Real Time: Forward‐Looking Taylor Rules without Forward‐Looking Data

I propose a methodology for estimating forward‐looking Taylor rules in real time when forward‐looking real‐time central bank data are unavailable. The methodology consists of choosing appropriate models to closely replicate U.S. Greenbook forecasts and then applying these models to Canada, Germany, and the U.K. The results show that German and U.S. Taylor rules are characterized by inflation coefficients increasing with the forecast horizon and a positive output gap response. The U.K. and Canada interest rate reaction functions achieve maximum inflation response at middle‐term horizons of about 1/2 years and the output gap coefficient is insignificant.     

风险资产配置与货币政策规则——黏性价格均衡下的宏观资产配置模型初探

本文将一个基于动态新凯恩斯理论的连续时间黏性价格一般均衡模型与随机动态资产配置模型相结合,进而研究基于内生宏观经济动态和货币政策规则进行资产配置的问题。在最优配置策略下,投资者相对风险偏好随无风险名义利率的增大而单调减小,而随通胀率的变化呈“U”型,说明投资者在通胀偏离稳态幅度较大时配置风险资产的相对意愿较高。此外,本文也给出了使用该模型讨论投资者最大化跨期效用对经济反作用这一宏观审慎问题的方式。     

Making Weak Instrument Sets Stronger: Factor‐Based Estimation of Inflation Dynamics and a Monetary Policy Rule

The problem of weak identification has recently attracted attention in the analysis of structural macroeconomic models. Using robust methods can result in large confidence sets making precise inference difficult. We overcome this problem in the analysis of the hybrid New Keynesian Phillips Curve and a forward‐looking Taylor rule by employing stronger instruments. We suggest exploiting information from a large macroeconomic data set by generating factors and using them as additional instruments. This approach results in stronger instrument sets and hence smaller weak‐identification robust confidence sets. It allows us to conclude that there has been a shift toward more active monetary policy from the pre‐Volcker regime to the Volcker–Greenspan tenure.     

Geographic Cross-Sectional Fiscal Spending Multipliers and the Role of Local Autonomy: Evidence from European Regions

Using a panel of 268 European regions during 1990–2014, we document that the degree of local government's autonomy, measured with the “Local Autonomy Index,” has a significant positive effect on the fiscal spending multiplier. The estimated geographic cross-sectional fiscal spending multiplier is on average close to zero in countries with the lowest degree of local autonomy, and around unity in countries with the highest degree of local autonomy. Multipliers are state-dependent: larger when gross domestic product is below trend and when there is slack in the labor market; in those states, local autonomy has a particularly large positive effect on the multiplier. To interpret the empirical findings, we build a Dynamic Stochastic General Equilibrium (DSGE) model where both local and central government spending contribute to a public good that enhances private labor productivity. Local governments are more efficient in producing the public good and the multiplier is higher in countries where local government spending has a larger share in the production of the public good.     

Consumption-smoothing in a small, cyclically volatile open economy: Evidence from New Zealand

New Zealand's current account of the balance of payments has been persistently in deficit since the early 1970s and increased markedly during the late 1990s. Should this cause significant concern, for such a small, cyclically volatile open economy? Our results show that VAR1 and VAR2 forms of the traditional intertemporal consumption-smoothing model reflect very satisfactorily the volatile directions and turning points observed, that the data are not consistent with consumption-tilting to the present, and that New Zealand has had considerable success to date in consumption-smoothing around its average 5% current account deficit. Perhaps more unexpectedly, a Bergin–Sheffrin-type model of a small open economy with variable interest rates and exchange rates has not performed noticeably better.     

Macroprudential policy transmission and interaction with fiscal and monetary policy in an emerging economy: a DSGE model for Brazil

We investigate the transmission of macroprudential (MaP) instruments in a dynamic stochastic general equilibrium model where foreign capital flows interact with financial frictions and banks are exposed to different sources of credit default risk. The model is estimated for Brazil with Bayesian techniques. We compute optimal combinations of simple MaP, fiscal and monetary policy rules that can react to the business and/or the financial cycle. We find that the gains from implementing a cyclical fiscal policy are only significant if MaP policy countercyclically reacts to the financial cycle. Optimal fiscal policy is countercyclical in the business cycle.     

Inflation,Output Growth,and Their Uncertainties: Empirical Evidence for a Causal Relationship from European Emerging Economies

In this paper, we analyze the causality among inflation, output growth, and their uncertainties in all European countries with emerging economies. For these countries, high uncertainty regarding economic growth during the current economic and financial crisis that started in 2008 caused their governments to increase their efforts to sustain growth, and to maintain a low level of inflation. Of the twelve possible hypotheses regarding the causal relationships among inflation, output growth, and their uncertainties, we consider five relationships for which we find strong theoretical arguments and empirical evidence in the literature. The empirical evidence strongly supports the Friedman-Ball hypothesis that inflation Granger-causes inflation uncertainty. For the other four tested hypotheses, fewer significant causal relationships are obtained.     

Estimating the Evolution of Money’s Role in the U.S. Monetary Business Cycle

We assess money’s role in the post‐WWII U.S. business cycle by employing both fixed‐coefficient and rolling‐window Bayesian estimations of a structural model of the business cycle with money. Our empirical evidence favors a specification with drifting parameters for money‐consumption nonseparability and the Federal Reserve’s reaction to nominal money growth. The role of money is estimated to have been important during the 1970s and declined afterward. The omission of money produces severely distorted impulse response functions (relative to the model with money). Money is found to be important in replicating the U.S. output volatility during the Great Inflation.     

Risk management,nonlinearity and aggressiveness in monetary policy: The case of the US Fed

We contribute to the empirical literature on the risk-management approach to monetary policy by estimating regime switching models where the strength of the response of monetary policy to macroeconomic conditions depends on the level of risk associated with the inflation outlook and risk in financial markets. Using quarterly data for the Greenspan period we find that: (i) risk in the inflation outlook and in financial markets are a more powerful driver of monetary policy regime changes than variables typically suggested in the literature, such as the level of inflation and the output gap; (ii) estimation of regime switching models shows that the response of the US Fed to the inflation outlook is invariant across policy regimes; (iii) however, in periods of high economic risk monetary policy tends to respond more aggressively to the output gap and the degree of inertia tends to be lower than in normal circumstances; and (iv) the US Fed is estimated to have responded aggressively to the output gap in the late 1980s and beginning of the 1990s, and in the late 1990s and early 2000s. These results are consistent with Mishkin (2008)’s view that in periods of high economic risk monetary authorities should respond aggressively to changes in macroeconomic conditions while the degree of inertia should be lower than in normal circumstances.     

The conditioning role of performance on the bank risk-taking channel of monetary policy: Evidence from a multiple-tool regime

The study investigates how monetary policy affects bank risk-taking under a multiple-tool regime of Vietnam during 2007–2018. Particularly, we also consider the conditioning role of bank performance, broken down by bank profitability and cost efficiency, in this nexus. Using both dynamic and static panel models, we show that the liquidity injection initiated by the central bank’s asset purchases induces banks to take more risks, captured by the traditional Z-score and two alternative measures of credit risk. However, monetary policy easing through decreased interest rates is beneficial to the credit portfolio and financial stability of banks, which therefore challenges the functioning of the bank risk-taking channel. This startling result is robust across three different interest rate measures, including lending rates, refinance rates and rediscount rates. Further analysis reveals that our observed effects are alleviated for banks with higher performance — i.e., more profitable and efficient banks. This in-depth finding offers more insights into the “search for yield” incentive, based on the theory of information asymmetry and the two competing hypotheses of “bad management” and “cost skimping”.     

Risk Interpretation of the CAPM's Beta: Evidence from a New Research Method

This study tests the validity of using the CAPM beta as a risk control in cross‐sectional accounting and finance research. We recognize that high‐risk stocks should experience either very good or very bad returns more frequently compared to low‐risk stocks, that is, high‐risk stocks should cluster in the tails of the cross‐sectional return distribution. Building on this intuition, we test the risk interpretation of the CAPM's beta by examining if high‐beta stocks are more likely than low‐beta stocks to experience either very high or very low returns. Our empirical results indicate that beta is a strong predictor of large positive and large negative returns, which confirms that beta is a valid empirical risk measure and that researchers should use beta as a risk control in empirical tests. Further, we show that because the relation between beta and returns is U‐shaped, that is, high betas predict both very high and very low returns, linear cross‐sectional regression models, for example, Fama–MacBeth regressions, will fail on average to reject the null hypothesis that beta does not capture risk. This result explains why previous studies find no significant cross‐sectional relation between beta and returns.     

The Role of Auditing Firms in the Implementation of New Accounting Standards: Evidence from China

This paper explores the impact of auditing firms on the implementation of the new Chinese Accounting Standards for Enterprises 22 (new CAS 22), which converges with IFRS 9. We find that the Big4 firms focus on fair value measurement and application of the expected credit loss (ECL) impairment model, whereas the LocalTop6 firms primarily focus on the classification of financial assets. The results indicate that effective implementation of the new standards mainly depends on standardized procedures and professional techniques of auditing firms, as the Big4 firms exhibit better implementation of the new standards in terms of items that generate greater risk and uncertainty than do local large auditing firms in China. In addition, we further test how cross-listing affects the role of auditing firms in implementing the new standards and find that the Big4 firms play a more significant role for A-share only companies than A + H companies. The findings reveal the challenges associated with implementation of IFRS 9-based new CAS 22 in China.     

Developing a Trading Rule from the FTSE-100 Stock Index Futures Contract: Evidence in Support of the EMH

An extensive literature documents the predictability of both short and long horizon returns, over a wide range of sample periods, frequencies and markets. This predictability may represent weak form inefficiency, or it may be caused by a failure to account for a time-variation in risk. We develop statistically reliable ex ante models of the returns on the FTSE-100 stock index futures contract and test a simple trading rule based on the out-of-sample predictions from these models. We interpret the failure of our ex ante model to produce abnormal returns for a risk neutral investor as evidence in favour of the EMH. Our trading rule results clearly suggest that we should be careful in interpreting such ex ante models as evidence of financial market inefficiency.