Central bank’s forecasts and lack of transparency: An assessment of the effect on private expectations in a large emerging economy

We analyze whether the Central Bank of Brazil’s Inflation Reports projections influences the private’s inflation expectations. Specifically, we investigate how the central bank’s inflation forecasts affect the private sector’s inflation expectations through a qualitative and quantitative examination of the disagreement measure between them. Furthermore, we appraise if the lack of transparency resulting from the difference between the central bank’s inflation forecasts and the realized inflation affects the private’s inflation expectations. Although the findings confirm the previous studies that point out that the central bank transparency can affect the readjustment of market expectations, the results do not rule out the possibility of the central bank’s forecast and private’s inflation expectations being affected reciprocally.     

Monetary Policy Rules, Policy Preferences, and Uncertainty: Recent Empirical Evidence

We survey recent empirical evidence on monetary policy rules, and find that the emphasis in the political economy literature on institutional design (e.g. central bank independence and inflation targeting) is exaggerated. Formal institutional reform seems neither a necessary nor a sufficient condition for the observation of shifts in monetary policy rules. However, there is no doubt that in some cases (e.g. the UK following the start of inflation targeting in 1992, and Bank of England Independence in 1997), a major shift in monetary policy conduct is detectable. We also highlight the problems in explicitly testing the predictions of the political economy literature. Semi-structural modelling approaches, such as time-varying VAR models may be more useful in understanding policy rules, and the interaction between policy shifts and changes in the transmission mechanism.     

INFLATION AND CENTRAL BANK INDEPENDENCE: A META‐REGRESSION ANALYSIS

Abstract Using 59 studies, we perform a meta‐regression analysis of studies examining the relationship between inflation and central bank independence (CBI). The studies considered are very different with respect to the CBI indicator used, the sample of countries and time periods covered, model specification, estimators used and publication outlet. We conclude that there is a significant publication bias. However, we also find a significant genuine effect of CBI on inflation. Differences between studies are not caused by differences in CBI indicators used.     

The design and communication of systematic monetary policy strategies

The efficacy of central bank communications is inextricably linked to the characteristics of the monetary policy framework. Therefore, this paper presents a set of fundamental principles regarding the joint design of monetary policy strategy and communications. The practical implications of these principles are illustrated by considering a number of significant policy challenges faced by central banks in the advanced economies.     

Inflation forecasts and core inflation measures: Where is the information on future inflation?

This paper uses the forecast from a random walk model of inflation as a benchmark to test and compare the forecast performance of several alternatives of future inflation, including the Greenbook forecast by the Fed staff, the Survey of Professional Forecasters median forecast, CPI inflation minus food and energy, CPI weighted median inflation, and CPI trimmed mean inflation. The Greenbook forecast was found in previous literature to be a better forecast than other private sector forecasts. Our results indicate that both the Greenbook and the Survey of Professional Forecasters median forecasts of inflation and core inflation measures may contain better information than forecasts from a random walk model. The Greenbook's superiority appears to have declined against other forecasts and core inflation measures.     

The impact of macro news and central bank communication on emerging European forex markets

We employ a two-stage empirical strategy to analyze the impact of macroeconomic news and central bank communication on the exchange rates of three Central and Eastern European (CEE) currencies against the euro. First we estimate the nominal equilibrium exchange rate based on a monetary model. Second, we employ a high-frequency GARCH model to estimate the effects of the news and communication along with the estimated exchange rate misalignment on the exchange rate as well as its volatility. The analysis is performed during the pre-crisis (2004–2007) and crisis (2008–2009) periods. CEE currencies react to macroeconomic news during both periods in an intuitive manner that corresponds to exchange rate-related theories. However, the responsiveness of the currencies to central bank verbal interventions becomes important only during the crisis period.     

Evaluating predictive densities of US output growth and inflation in a large macroeconomic data set

We evaluate conditional predictive densities for US output growth and inflation using a number of commonly-used forecasting models that rely on large numbers of macroeconomic predictors. More specifically, we evaluate how well conditional predictive densities based on the commonly-used normality assumption fit actual realizations out-of-sample. Our focus on predictive densities acknowledges the possibility that, although some predictors can cause point forecasts to either improve or deteriorate, they might have the opposite effect on higher moments. We find that normality is rejected for most models in some dimension according to at least one of the tests we use. Interestingly, however, combinations of predictive densities appear to be approximated correctly by a normal density: the simple, equal average when predicting output growth, and the Bayesian model average when predicting inflation.     

Do survey joiners and leavers differ from regular participants? The US SPF GDP growth and inflation forecasts

If ‘learning by doing’ is important for macro-forecasting, newcomers might be different from regular, established participants. Stayers may also differ from the soon-to-leave. We test these conjectures for macro-forecasters’ point predictions of output growth and inflation, and for their histogram forecasts. Histogram forecasts of inflation by both joiners and leavers are found to be less accurate, especially if we suppose that joiners take time to learn. For GDP growth, there is no evidence of differences between the groups in terms of histogram forecast accuracy, although GDP point forecasts by leavers are less accurate. These findings are predicated on forecasters being homogeneous within groups. Allowing for individual fixed effects suggests fewer differences, including leavers’ inflation histogram forecasts being no less accurate.     

Commodity prices and the CPI: Cointegration, information, and signal extraction

This paper provides theoretical underpinnings for the commodity price/aggregate price relationship, discusses the conditions under which commodity prices are useful information variables for monetary policy, and provides empirical results which suggest why commodity prices have not been very useful for forecasting.     

Optimal monetary policy under incomplete markets and aggregate uncertainty: A long-run perspective

This paper examines the role of monetary policy in an environment with aggregate risk and incomplete markets. In a two-period overlapping-generations model with aggregate uncertainty, optimal monetary policy attains the ex-ante Pareto optimal allocation. This policy aims to stabilize the savings rate in the economy by changing real returns of nominal bonds via variation in expected inflation. Optimal expected inflation is procylical and on average higher than without uncertainty. Simple inflation targeting rules closely approximate the optimal monetary policy.     

The financial content of inflation risks in the euro area

Recent studies have emphasized that survey-based inflation risk measures are informative about future inflation, and thus are useful for monetary authorities. However, these data are typically only available at a quarterly frequency, whereas monetary policy decisions require a more frequent monitoring of such risks. Using the ECB Survey of Professional Forecasters, we show that high-frequency financial market data have predictive power for the low-frequency survey-based inflation risk indicators observed at the end of a quarter. We rely on MIDAS regressions for handling the problem of mixing data with different frequencies that such an analysis implies. We also illustrate that upside and downside risks react differently to financial indicators.