A New Model of Inflation,Trend Inflation,and Long‐Run Inflation Expectations

This paper develops a bivariate model of inflation and a survey‐based long‐run forecast of inflation that allows for the estimation of the link between trend inflation and the long‐run forecast. Thus, our model allows for the possibilities that long‐run forecasts taken from surveys can be equated with trend inflation, that the two are completely unrelated, or anything in between. Using a variety of inflation measures and survey‐based forecasts for several countries, we find that long‐run forecasts can provide substantial help in refining estimates and fitting and forecasting inflation. It is less helpful to simply equate trend inflation with the long‐run forecasts.     

A ‘rational’ explanation for ‘irrational’ forecasts of inflation

This paper analyzes professionals' forecasts of nominal income and the inflation rate. The analysis indicates that both monetary and fiscal policy data was used efficiently to forecast income, but the monetary policy data was not used efficiently to forecast the inflation rate. Further analysis suggests that the apparent inefficient use of the monetary data results from the non-stationary money-inflation relationship predicted by rational expectations models. These models then provide an explanation for the inconsistent conclusions regarding the income forecasts and the inflation rate forecasts.     

Interest Rates,Uncertainty and the Livingston Data

The observed relationship between the standard deviation of forecasts and past forecast errors as found in the Livingston survey suggests the interpretation of the standard deviation as a measure of inflation uncertainty. The mean and the standard deviation for the inflation rate forecast found in the Livingston survey, furthermore, are used as regressors in a reduced-form interest rate equation. The results indicate a large negative effect of such uncertainty on interest rates. The inclusion of the uncertainty measure and commonly omitted lagged values of all variables in our analysis of data leads to more theoretically plausible estimated effects of money growth and expected inflation on interest rates than do standard estimates.     

RECENT EVIDENCE ON THE ACCURACY AND RATIONALITY OF POPULAR INFLATION FORECASTS

This paper compares the accuracy and examines the rationality of inflation forecasts extracted from U.S. Treasury bill yields, the mean forecast of surveys conducted by the Institute for Social Research, and the predictions from a rolling time-series model. Measures of realized inflation include both the Consumer Price Index reported during the period and a revised CPI series (CPIX) that replaces the mortgage interest rate with the recently adopted “rental equivalence” component. Inferences about accuracy and rationality depend upon both the measure of inflation and the period studied. The findings suggest that survey forecasts should be used when turbulent variation in the unobservable expected real rate of interest obscures the measurement of the market's expectation of inflation.     

Earnings guidance and market uncertainty

We study the effect of disclosure on uncertainty by examining how management earnings forecasts affect stock market volatility. Using implied volatilities from exchange-traded options prices, we find that management earnings forecasts increase short-term volatility. This effect is attributable to forecasts that convey bad news, especially when firms release forecasts sporadically rather than on a routine basis. In the longer run, market uncertainty declines after earnings are announced, regardless of whether there is a preceding earnings forecast. This decline is mitigated when the firm issues a forecast that conveys negative news, implying that these forecasts are associated with increased uncertainty.     

Disagreement and Biases in Inflation Expectations

Disagreement in inflation expectations observed from survey data varies systematically over time in a way that reflects the level and variance of current inflation. This paper offers a simple explanation for these facts based on asymmetries in the forecasters' costs of over- and underpredicting inflation. Our model implies (i) biased forecasts, (ii) positive serial correlation in forecast errors, (iii) a cross-sectional dispersion that rises with the level and the variance of the inflation rate, and (iv) predictability of forecast errors at different horizons by means of the spread between the short- and long-term variance of inflation. We find empirically that these patterns are present in inflation forecasts from the Survey of Professional Forecasters. A constant bias component, not explained by asymmetric loss and rational expectations, is required to explain the shift in the sign of the bias observed for a substantial portion of forecasters around 1982.     

Management forecast credibility and underreaction to news

In this paper, we first document evidence of underreaction to management forecast news. We then hypothesize that the credibility of the forecast influences the magnitude of this underreaction. Relying on evidence that more credible forecasts are associated with a larger reaction in the short window around the management forecasts and a smaller post-management forecast drift in returns, we show that the magnitude of the underreaction is smaller for firms that provide more credible forecasts. Our paper contributes to the literature by providing out-of-sample evidence of the drift in returns documented in the post-earnings-announcement drift literature, with the credibility of the news being one explanation for the phenomenon.     

Forecast rationality and monetary policy frameworks: Evidence from UK interest rate forecasts

We find evidence of heterogeneity and irrationality among professional forecasts for three-month inter-bank rates and ten-year gilt yields at both short and long forecast horizons over the period 1989-2006. The majority of biased forecasts overestimate the future spot rate, consistent with slow adjustment to the declining trend in inflation and interest rates. Furthermore, we produce evidence indicating that both monetary policy actions and elements of communication policy have information content regarding the rationality of forecasts. Changes in official bank rates and disagreement among the Monetary Policy Committee influence the rationality of forecasts. The publication of inflation reports has no effect.     

News on Inflation and the Epidemiology of Inflation Expectations

This paper examines the nexus between news coverage on inflation and households’ inflation expectations. In doing so, we test the epidemiological foundations of the sticky information model (Carroll 2003, 2006 ). We use both aggregate and household‐level data from the Survey Research Center at the University of Michigan. We highlight a fundamental disconnection among news on inflation, consumers’ frequency of expectation updating, and the accuracy of their expectations. Our evidence provides at best weak support to the epidemiological framework, as most of the consumers who update their expectations do not revise them toward professional forecasters’ mean forecast.     

The Role of Media for Inflation Forecast Disagreement of Households and Professional Forecasters

This paper investigates the effects of media coverage about consumer price inflation on inflation forecast disagreement of German households and professional forecasters. We adopt a Bayesian learning model in which media coverage of inflation affects forecast disagreement by influencing information sets as well as predictor choice. Our empirical results show that disagreement of households depends on the heterogeneity of story content and on the reporting intensity, especially of news on rising inflation. Disagreement of professional forecasters does not depend on media coverage. With respect to the influence of macroeconomic variables, we provide evidence that disagreement of professional forecasters primarily depends on the inflation rate and on inflation volatility. The response of households to inflation is much less pronounced.     

The debt market relevance of management earnings forecasts: evidence from before and during the credit crisis

We investigate the credit market’s response via changes in credit default swap (CDS) spreads to management earnings forecasts and evaluate the importance of these forecasts relative to earnings news during the periods before and during the recent credit crisis. We document that credit markets react significantly to management forecast news and that the reactions to forecast news are stronger than to actual earnings news. Consistent with the asymmetric payoffs to debt holders, the forecast news is mainly relevant for firms with poor credit rating or announcing bad news. We also show that the relevance of management forecasts to credit markets is particularly strong during periods of high uncertainty, as experienced during the recent credit crisis.     

Forecast uncertainty and the Taylor rule

In this paper, we derive a modification of a forward-looking Taylor rule by integrating two variables that measure the uncertainty of inflation and GDP growth forecasts into an otherwise standard New Keynesian model. We show that certainty-equivalence in New Keynesian models is a consequence of log-linearization and that a second-order Taylor approximation leads to a reaction function that includes the uncertainty of macroeconomic expectations. To test the model empirically, we use the standard deviation of individual forecasts around the median Consensus Forecast as a proxy for forecast uncertainty. Our sample covers the euro area, the United Kingdom, and the United States for the period 1990Q1–2016Q4. We find that the Bank of England and the European Central Bank have a significantly negative reaction to inflation forecast uncertainty. Our findings also reveal that the Federal Reserve (Bank of England) lowers (raises) its interest rate in response to higher GDP growth forecast uncertainty. We conclude by offering some implications for optimal monetary policy rules and central bank watchers.     

The impact of central bank independence on the performance of inflation targeting regimes

This paper examines the effects of inflation targeting on inflation in both advanced and emerging economies. We do not detect significant effects in advanced economies and only find small benefits in emerging economies, in line with previous studies. However, when we differentiate the impact of inflation targeting based on the degree of central bank independence, we find large effects in emerging economies with low central bank independence. Our results therefore suggest that central bank independence is not a prerequisite for countries to experience significant declines in inflation following the adoption of inflation targeting. Furthermore, we provide evidence that one channel through which inflation targeting lowers inflation more in countries with low central bank independence is the reduction of budget deficits following the adoption of an inflation target.     

Inflation,earnings forecasts,and post-earnings announcement drift

We examine whether financial analysts fully incorporate expected inflation in their earnings forecasts for individual stocks. We find that expected inflation proxies, such as lagged inflation and inflation forecasts from the Michigan Survey of Consumers, predict the future earnings change of a portfolio long in high inflation exposure firms and short in low or negative inflation exposure firms, but analysts do not fully adjust for this relation. Analysts’ earnings forecast errors can be predicted using expected inflation proxies, and these systematic forecast errors are related to future stock returns. Overall, our evidence is consistent with the Chordia and Shivakumar (J Account Res 43(4):521–556, 2005) hypothesis that the post-earnings announcement drift is related to investor underestimation of the impact of expected inflation on future earnings change.     

STOCK MARKET SIGNALS OF CHANGES IN EXPECTED INFLATION

This paper examines the relationship between stock returns and several measures of expected inflation. The proxies include the inflation forecasts extracted from U.S. Treasury bill yields, the mean forecast of surveys conducted by the Institute for Social Research, and the predictions from a rolling time-series model. Unlike recent studies, there does not appear to be a significant negative relationship between stock returns and expected inflation at the beginning of the period. The results are consistent with the hypothesis that stock returns signal changes in expected inflation.     

Voluntary Causal Disclosures: Tendencies and Capital Market Reaction

In this study, we provide empirical evidence on whether voluntarily disclosed causal attributions made in management earnings forecasts are credible by investigating the conditions under which such attributions are made and the extent to which security price responses are associated with attribution existence. We find that causal attributions are more likely to be made when forecast news is bad (relative to good), and that the type of attribution made is more likely to be external (internal) for bad (good) forecast news. Incorporating the existence and type of attribution into models that explain announcement period three-day cumulative abnormal returns yields significant effects for attribution incidence and type after controlling for unexpected earnings and forecast type (e.g., point, range, etc.). Consistent with the idea that attributions enhance the credibility or precision of management forecasts, attribution disclosure enhances price reactions per dollar of unexpected earnings conveyed in a management forecast.     

Why Do Managers Explain Their Earnings Forecasts?

Managers often explain their earnings forecasts by linking forecasted performance to their internal actions and the actions of parties external to the firm. These attributions potentially aid investors in the interpretation of management forecasts by confirming known relationships between attributions and profitability or by identifying additional causes that investors should consider when forecasting earnings. We investigate why managers choose to provide attributions with their forecasts and whether the attributions are related to security price reactions to management earnings forecasts. Using a sample of 951 management earnings forecasts issued from 1993 to 1996, we find that attributions are more likely for larger firms, less likely for firms in regulated industries, less likely for forecasts issued over longer horizons, more likely for bad news forecasts, and more likely for forecasts that are maximum type. Furthermore, attributions are associated with greater absolute price reactions to management forecasts, more negative price reactions to management forecasts (forecast news held constant), and a greater price reaction per dollar of unexpected earnings. Our findings hold after control for the aforementioned determinants of attributions and after control for other firm‐ and forecast‐specific variables that are often associated with security prices.     

Voluntary Disclosure of Profit Forecasts by Target Companies in Takeover Bids

This paper examines factors influencing voluntary forecast disclosure by target companies, whether good/bad news forecasts are disclosed and the influence of forecasts on the outcome of hostile bids. Disclosure was significantly more likely during contested bids. In agreed bids, probability of forecast disclosure was greater the shorter the bid horizon. In contested bids, forecasts were more likely where there were large block shareholdings, for larger targets and for targets in the capital goods industry. There was a clear tendency to disclose good news forecasts. A significant positive association between forecast disclosure and increase in offer price was found.     

An Empirical Analysis of Qualitative Management Earnings Forecasts

Despite efforts by the Securities and Exchange Commission (SEC) to encourage corporate disclosure of quantitative management earnings projections, only a small fraction of firms voluntarily do so. Instead of quantitative estimates, a large number of firms choose to disclose qualitative (verbal) assessments of their earnings prospects. This paper is a study of the information characteristics and the usefulness of this alternative form of forecast disclosure to investors. The study examines a sample of qualitative forecast statements from the 1979–1985 period and finds associations between these forecasts and percentage changes in realized earnings per share, the direction of financial analysts' forecast revisions following the disclosure of these forecasts, and abnormal stock returns on the date of their disclosure. These associations are, however, shown to be more significant for negative (bad news) than for positive (good news) forecasts.     

Inflation Targeting Around the World

This paper examines the inflation record of twenty-nine inflation- and noninflation-targeting economies. Both industrial and emerging market economies are considered. Empirical evidence is based on a comparison of actual and forecasted inflation, an econometric analysis that estimates changes in inflation persistence, and an estimate of the probability of a breach in the inflation target as a proxy for the fragility of the targeting regime. I find that inflation persistence has fallen in only a handful of emerging market economies. However, the inflationtargeting regime is not especially fragile in emerging market economies. As these economies gain experience with inflation targets and respond appropriately to forecast errors generated by the private sector, the likelihood of breaches in the target ranges tends to fall.