Managing Expectations

The idea that monetary policy is principally about “managing expectations” has taken hold in central banks around the world. Discussions of expectations management by central bankers, academics and by financial market participants frequently also include the idea that central bank credibility is imperfect. We adapt a familiar macroeconomic model so as to discuss key concepts in the area of expectations management. Our work also exemplifies a model construction approach to analyzing the dynamics of announcements, actions, and credibility that we think makes feasible a wide range of future investigations concerning the management of expectations.     

Expectations Hypotheses Tests

We investigate the expectations hypotheses of the term structure of interest rates and of the foreign exchange market using vector autoregressive methods for U.S. dollar, Deutsche mark, and British pound interest rates and exchange rates. We examine Wald, Lagrange multiplier, and distance metric tests by iterating on approximate solutions that require only matrix inversions. Bias-corrected, constrained VARs provide Monte Carlo simulations. Wald tests grossly overreject the null, Lagrange multiplier tests slightly underreject, and distance metric tests overreject. A common interpretation emerges from the small sample statistics. The evidence against the expectations hypotheses is much less strong than under asymptotic inference.     

Incentives and Investor Expectations

This article argues that the Expectations‐Based Management (EBM) measure proposed by Copeland and Dolgoff (in the previous article) is essentially the same measure that EVA companies have used for years as the basis for performance evaluation and incentive compensation. After pointing out that the analyst‐based measures cited by Copeland and Dolgoff do not provide a basis for a workable compensation plan, the authors present the outline of a widely used expectations‐based EVA bonus plan. In so doing, they demonstrate the two key steps in designing such a plan: (1) using a company's “Future Growth Value”—the part of its current market value that cannot be accounted for by its current earnings— to calibrate the series of annual EVA “improvements” expected by the market; and (2) determining the executive's share of those improvements and thus of the company's expected “excess” return. One of the major objections to the use of EVA, or any single‐period measure, as the basis for a performance evaluation and incentive comp plan is its inability to reflect the longer‐run consequences of current investment and operating decisions. The authors close by presenting a solution to this “delayed productivity of capital” problem in the form of an internal accounting approach for dealing with acquisitions and other large strategic investments.     

Option Pricing with Heterogeneous Expectations

This paper re-derives the finite mixture option pricing model of Ritchey (1990), based on the assumption that the option investors hold heterogeneous expectations about the parameters of the lognormal process of the underlying asset price. By proving that the model admits no riskless arbitrage, this paper justifies that the entire family of finite mixture of lognormal distributions is a desirable candidate set for recovering the risk-neutral probability distributions from contemporaneous options quotes. The parametric method derived from the model is significantly simpler than the nonparametric method of Rubinstein (1994) for recovering the risk-neutral probability distributions from contemporaneous option prices.     

Diagnostic Expectations and Credit Cycles

We present a model of credit cycles arising from diagnostic expectations—a belief formation mechanism based on Kahneman and Tversky's representativeness heuristic. Diagnostic expectations overweight future outcomes that become more likely in light of incoming data. The expectations formation rule is forward looking and depends on the underlying stochastic process, and thus is immune to the Lucas critique. Diagnostic expectations reconcile extrapolation and neglect of risk in a unified framework. In our model, credit spreads are excessively volatile, overreact to news, and are subject to predictable reversals. These dynamics can account for several features of credit cycles and macroeconomic volatility.     

Arbitrage and the Expectations Hypothesis

This paper shows that all traditional forms of the expectations hypothesis can be consistent with the absence of arbitrage if markets are incomplete. A key implication is that the validity of the expectations hypothesis is purely an empirical issue; the expectations hypothesis cannot be ruled out on a priori theoretical grounds.     

Disagreement in Consumer Inflation Expectations

By carefully matching the data sets from the Michigan Survey of Consumers with the Survey of Professional Forecasters, we show that there exists substantial heterogeneity in the propensity of U.S. households to learn from experts in forming inflation expectations. Additional results for a group of European economies broadly confirm this observation. We advance an extended version of the sticky-information model to analyze disagreement in consumer inflation expectations. Besides differences in consumers' propensities to learn, disagreement in our model arises from heterogeneity in consumers' fundamental inflation and past expectations and experts' different views about future inflation.     

Diagnostic Expectations and Stock Returns

We revisit La Porta's finding that returns on stocks with the most optimistic analyst long‐term earnings growth forecasts are lower than those on stocks with the most pessimistic forecasts. We document the joint dynamics of fundamentals, expectations, and returns of these portfolios, and explain the facts using a model of belief formation based on the representativeness heuristic. Analysts forecast fundamentals from observed earnings growth, but overreact to news by exaggerating the probability of states that have become more likely. We find support for the model's predictions. A quantitative estimation of the model accounts for the key patterns in the data.     

Heterogeneous Inflation Expectations and Learning

Using the panel component of the Michigan Survey of Consumers, we estimate a learning model of inflation expectations, allowing for heterogeneous use of private information and lifetime inflation experience. Life experience inflation has a significant impact on individual expectations, but only for 1‐year‐ahead inflation. Public information is substantially more relevant for longer horizon expectations. Even controlling for life experience inflation and public information, idiosyncratic information explains a nontrivial proportion of the inflation forecasts of agents. Women, ethnic minorities, and less educated agents have a higher degree of heterogeneity in their idiosyncratic information, and give less importance to recent movements in inflation.     

Using Survey Data of Inflation Expectations in the Estimation of Learning and Rational Expectations Models

Does survey data contain useful information for estimating macroeconomic models? We address this question by using survey data of inflation expectations to estimate the New Keynesian model by Smets and Wouters ( 2007 ) and compare its performance under rational expectations and adaptive learning. The survey information serves as an additional moment restriction and helps us to determine the learning agents' forecasting model for inflation. Adaptive learning fares similarly to rational expectations in fitting macro data, but clearly outperforms rational expectations in fitting macro and survey data simultaneously. In other words, survey data contain additional information that is not present in the macro data alone.     

Higher Order Expectations in Asset Pricing

We examine formally Keynes' idea that higher order beliefs can drive a wedge between an asset price and its fundamental value based on expected future payoffs. We call this the higher order wedge, which depends on the difference between higher and first order expectations of future payoffs. We analyze the determinants of this wedge and its impact on the equilibrium price in the context of a dynamic noisy rational expectations model. We show that the wedge reduces asset price volatility and disconnects the price from the present value of future payoffs. The impact of the higher order wedge on the equilibrium price can be quantitatively large.     

谁的通胀预期影响了货币政策

本文建立含有通胀预期的前瞻性货币政策反应函数,基于2001年1季度至2014年4季度居民和专家两组通胀预期调研数据,研究中国人民银行决策信息集中是否包含通胀预期变量,以及谁的通胀预期更能影响货币政策。研究表明:(1)央行对居民预期和专家预期均做出显著反应,但对专家预期反应更强:平均而言,专家预期值提高1%,央行当季会降低货币供应量增长率0.4%,拆借利率则上浮0.1%;(2)在长期,央行遵循“逆预期”操作的相机抉择行为模式,表明预期变量是央行决策信息集的重要组成部分;(3)央行对某些机构的预测数据反应较强,其预测信息集可能与央行信息集重合度较高。     

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.     

Sticky Expectations and the Profitability Anomaly

We propose a theory of the “profitability” anomaly. In our model, investors forecast future profits using a signal and sticky belief dynamics. In this model, past profits forecast future returns (the profitability anomaly). Using analyst forecast data, we measure expectation stickiness at the firm level and find strong support for three additional model predictions: (1) analysts are on average too pessimistic regarding the future profits of high‐profit firms, (2) the profitability anomaly is stronger for stocks that are followed by stickier analysts, and (3) the profitability anomaly is stronger for stocks with more persistent profits.     

通胀预期的形成及其管理

尽管当前物价指数刚刚转正,但社会对通胀的预期增大。加强通胀预期管理是今年宏观调控的一个重要任务。管理好通胀预期,应准确把握政策取向,继续保持适度宽松的总体基调;真正做到“有保有压”。寻求信贷规模调整与信贷结构优化的平衡点;适时考虑退出策略,分步实施政策调整与转向;加强舆论引导,避免由非理性通胀预期引发“羊群效应”;综合运用其他经济政策,化解物价上涨和资产价格膨胀的压力。     

Expectations, learning and macroeconomic persistence

Monetary DGSE models under rational expectations typically require large degrees of features as habit formation in consumption and inflation indexation to match the inertia of macroeconomic variables.This paper presents an estimated model that departs from rational expectations and nests learning by economic agents, habits, and indexation. Bayesian methods facilitate the joint estimation of the learning gain coefficient together with the ‘deep’ parameters of the economy.The empirical results show that when learning replaces rational expectations, the estimated degrees of habits and indexation drop closer to zero, suggesting that persistence arises in the model economy mainly from expectations and learning.