Skewed exchange-rate forecasts

We used survey data on exchange-rate forecasts of the dollar/euro exchange rate and the yen/dollar exchange rate to analyze the correlation of the skewness of the distribution of heterogeneous forecasts with movements of the exchange rate. Using various measures of skewness, we found a negative correlation of skewness of 1-month-ahead forecasts with exchange-rate movements. In contrast, the correlation of skewness of 12-months-ahead forecast with exchange-rate movements is positive. The negative correlation arising in the case of 1-month-ahead forecasts is consistent with expected mean reversion in exchange rates. The positive correlation arising in the case of longer term forecasts, in turn, is consistent with longer term bandwagon effects.     

Do macro variables, asset markets, or surveys forecast inflation better?

Surveys do! We examine the forecasting power of four alternative methods of forecasting U.S. inflation out-of-sample: time-series ARIMA models; regressions using real activity measures motivated from the Phillips curve; term structure models that include linear, non-linear, and arbitrage-free specifications; and survey-based measures. We also investigate several methods of combining forecasts. Our results show that surveys outperform the other forecasting methods and that the term structure specifications perform relatively poorly. We find little evidence that combining forecasts produces superior forecasts to survey information alone. When combining forecasts, the data consistently places the highest weights on survey information.     

Are Professional Macroeconomic Forecasters Able To Do Better Than Forecasting Trends?

This paper investigates whether survey forecasters are able to make more accurate forecasts than simply supposing that the future values of the variable will move monotonically to the long‐run expectation. We consider the forecasts individually, and the consensus forecasts. Consensus survey forecasts are able to do so to varying degrees depending on the variable, but this ability is largely limited to forecasts of the current quarter.     

FOMC Forecasts as a Focal Point for Private Expectations

We explore empirically the theoretical prediction that public information acts as a focal point in the context of the U.S. monetary policy. We aim at establishing whether the publication of Federal Open Market Committee (FOMC) inflation forecasts affects the cross‐sectional dispersion of private inflation expectations. Our main finding is that publishing FOMC inflation forecasts has a negative effect on the cross‐sectional dispersion of private current‐year inflation forecasts. This effect is found to be robust to another survey data set and to various macroeconomic controls. Moreover, we find that the dispersion of private inflation forecasts is not affected by the dispersion of views among FOMC members.     

A comparison of inflation forecasts

Interest rate models provide slightly better monthly forecasts and substantially better eight- and fourteen-month forecasts of inflation than a univariate time series model. The Livingston surveys underestimate eight- and fourteen-month inflation rates, especially during the high inflation period of 1978–81. In contrast, eight- and fourteen-month inflation forecasts extrapolated from one-month interest rates show little bias and track ex post eight- and fourteen-month inflation rates better than the survey forecasts.     

The Information UK 2000 project

The past two decades have seen many striking changes in the ways in which information is handled and used, in both our work and leisure activities—including the widespread acceptance of the personal computer and the increasing use of online databases as sources of business and technical information. In 1990, the British Library completed a major research programme, Information UK 2000, designed to produce scenarios and forecasts for the way in which information will be generated, handled, stored and used over the next decade and beyond. The end result, a collection of expert forecasts in 11 areas, is expected to provide guidance in planning research, and should also serve as a quarry from which specialists may draw their own interpretation of the possible effects of these developments in combination.     

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.     

Survey forecasts in Brazil: A prismatic assessment of epidemiology,performance, and determinants

This paper assesses the behavior of survey forecasts in Brazil during the inflation targeting regime, when managing expectations is one of the cornerstones of the conduct of monetary policy. The distinctive database of the survey conducted by the Central Bank of Brazil (BCB) among professional forecasters allows for a thorough investigation of the epidemiology, determinants, and performance of forecasts. The main results are: i) top performing forecasters are influential to other forecasters; ii) survey forecasts perform better than vector autoregressive model-based forecasts; iii) common forecast errors prevail over idiosyncratic components across respondents; iv) inflation targets play an important role in inflation expectations; and v) agents perceive the BCB as following a Taylor rule consistent with inflation targeting. The last two suggest high credibility of the monetary authority.     

Directional Accuracy of Urban Consumers’ Inflation Forecasts in China

We evaluate the directional accuracy of inflation forecasts based on the survey data of urban savings account holders in China. By using a new market-timing test, we show that the urban consumers’ expectations of inflation are not a useful predictor of the overall consumer price index (CPI) and the urban household CPI (U-CPI) in China. However, after our in-depth analysis using the inflation rate of each category in the U-CPI basket, we find that the consumers’ forecasts are useful in predicting the movement of the residence component in the U-CPI basket since the third quarter of 2009.     

Expectations and the Cross-Section of Stock Returns

Previous research has shown that stocks with low prices relative to book value, cash flow, earnings, or dividends (that is, value stocks) earn high returns. Value stocks may earn high returns because they are more risky. Alternatively, systematic errors in expectations may explain the high returns earned by value stocks. I test for the existence of systematic errors using survey data on forecasts by stock market analysts. I show that investment strategies that seek to exploit errors in analysts' forecasts earn superior returns because expectations about future growth in earnings are too extreme.     

预测中国宏观经济变量:专家与模型的组合预测

本文使用组合预测方法,探究以“朗润预测”为代表的专家预测以及计量模型对于中国宏观经济变量的预测效果,并研究对不同预测进行组合预测是否有助于改进预测效果。本文发现,对我国CPI和GDP的增长率,专家预测效果总体上优于模型预测。从原因看,一方面,专家在预测时已经考虑了计量模型的预测信息;另一方面,在经济出现“拐点”的时期,专家通过对实际经济环境和政策的把握,得出更准确的经济预测。组合预测有助于提升预测精度,对专家预测进行组合得到的预测效果优于大多数的专家预测,“模型—专家”组合预测的效果也优于所有的模型和大部分专家预测。     

Risk-based forecasting and planning and management earnings forecasts

This study examines the association between a firm’s internal information environment and the accuracy of its externally disclosed management earnings forecasts. Internally, firms use forecasts to plan for uncertain futures. The risk management literature argues that integrating risk-related information into forecasts and plans can improve a firm’s ability to forecast financial outcomes. We investigate whether this internal information manifests itself in the accuracy of external earnings guidance. Using detailed survey data and publicly disclosed management earnings forecasts from a sample of publicly traded U.S. companies, we find that more sophisticated risk-based forecasting and planning processes are associated with smaller earnings forecast errors and narrower forecast widths. These associations hold across a variety of different planning horizons (ranging from annual budgeting to long-term strategic planning), providing empirical support for the theoretical link between internal information quality and the quality of external disclosures.     

Forecasting air traffic: Are there limits to growth?

The author reviews the econometric techniques, and their attendant methodological problems, used in air-traffic forecasting and takes the London-area airports system as an example. He goes on to discuss the reliability of such forecasts, particularly where they predict large increases in traffic. Although the longterm growth of air-passenger traffic in the UK will be limited by supply and demand constraints, the number of international leisure passengers will probably treble before the S-curve begins to flatten out in the 21st century.     

Making Sense of Cents: An Examination of Firms That Marginally Miss or Beat Analyst Forecasts

This paper examines the performance consequences of cutting discretionary expenditures and managing accruals to exceed analyst forecasts. We show that firms that just beat analyst forecasts with low quality earnings exhibit a short-term stock price benefit relative to firms that miss forecasts with high quality earnings. This trend, however, reverses over a 3-year horizon. Additionally, firms reducing discretionary expenditures to beat forecasts have significantly greater equity issuances and insider selling in the following year, consistent with managers understanding the myopic nature of their actions. Our results confirm survey evidence suggesting managers engage in myopic behavior to beat benchmarks.     

An integrated view of tests of rationality,market efficiency and the short-run neutrality of monetary policy

This paper analyzes an important class of models in which expectations play an important role. Topics included in the analysis are tests of: (1) rationality of forecasts in either market or survey data, (2) capital market efficiency, (3) the short-run neutrality of monetary policy and, (4) Granger causality in macroeconometric models. The common elements of these tests are highlighted. In particular, cross-equation tests for rationality or the short-run neutrality of money are shown to be equivalent to more common regression tests in the literature. These results demonstrate that the exact specification of the relevant information set used in rational forecasts is not necessary for the cross-equation tests to have desirable asymptotic properties. Also discussed are the conditions for identification of coefficients and testability of hypotheses.     

Survey Measures of Expected Inflation and the Inflation Process

The accuracy of inflation forecasts obtained from household and professional surveys has deteriorated noticeably of late, to the extent that a simple autoregressive specification outperforms survey forecasts. The decline in (absolute and relative) accuracy has taken place at about the same time as an apparent change in the inflation process. Projections of household forecasts on realized inflation suggests that households have not recognized this change. For the professionals, projections of expected inflation on headline inflation have changed, but on core inflation have not. By contrast, projections of realized headline inflation on core have changed sharply.     

Self‐Serving Attribution Bias,Overconfidence, and the Issuance of Management Forecasts

Prior studies document that managers consider a variety of costs and benefits when deciding whether to issue earnings forecasts. Using an abstract experiment and a survey of experienced financial managers, we provide evidence that managerial overconfidence may also contribute to this decision. Our experiment shows that participants engage in self‐serving attribution, giving greater weight to internal than external factors as explanations for good performance. This increases confidence in improved future performance, which increases their willingness to issue forecasts. Two facets of the stable individual trait overconfidence, dispositional optimism and miscalibration, also contribute to confidence in improved future performance and willingness to issue forecasts. Consistent with these results, experienced financial manager survey participants believe other managers are likely to overestimate the extent to which they contribute to positive firm performance, and both overoptimism about firm performance and overconfidence in their ability to predict future firm performance contribute to issuance of earnings forecasts.     

Housing Starts in Canada, Japan, and the United States: Do Forecasters Herd?

Recent price trends in housing markets may reflect herding of market participants. A natural question is whether such herding, to the extent that it occurred, reflects herding in forecasts of professional forecasters. Using survey data for Canada, Japan, and the United States, we did not find evidence of forecaster herding. On the contrary, forecasters anti-herd and, thereby, tend to intentionally scatter their forecasts around the consensus forecast. The extent of anti-herding seems to vary over time. For Canada and the United States, we found that more pronounced anti-herding leads to lower forecast accuracy.     

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.     

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.