Do professional forecasters apply the Phillips curve and Okun's law? Evidence from six Asian-Pacific countries

Using survey data from six Asian-Pacific countries, we report that professional forecasters apply the wage Phillips curve, the price Phillips curve, and Okun's law when forecasting macroeconomic variables. This result is robust when using time-varying coefficients, different forecast horizons and when taking business-cycle asymmetries into account. The results also suggest that the confidence in macroeconomic relationships was more pronounced during the economic crisis 2007–2009 and when looking at longer forecast horizons.     

Direct Evidence on Sticky Information from the Revision Behavior of Professional Forecasters

We provide evidence on the sticky‐information model of Mankiw and Reis ( 2002 ) by examining how often individual professional forecasters revise their forecasts. We draw interest rate and unemployment rate forecasts from the monthly Wall Street Journal surveys. We find evidence that forecasters frequently leave forecasts unchanged but revise more often the larger the changes in the information set; additionally, the information sensitivity of revision frequencies increased after 2007. We also find that, on average, forecasters in our sample revise more frequently than found in previous research but that revised forecasts are not consistently more accurate.     

Directional accuracy tests of Chinese renminbi forecasts

This study investigates the directional accuracy of Chinese renminbi exchange rate forecasts by professional forecasters. The forecast with a horizon of one year is useful, whereas the forecasts with forecast horizons of one and three months are not useful in predicting the direction of the exchange rate change. The results for the long-term forecasts suggest that forecasters believe that the government maintains its foreign exchange rate policy of renminbi appreciation. In contrast, short-term forecasts show consistent evidence of exchange rate unpredictability.     

Forecasting U.S. car sales and car registrations in Japan: Rationality, accuracy and herding

We analyze forecasts of car sales in the U.S. and forecasts of car registrations in Japan. We document a substantial heterogeneity of forecasts, and we show that, based on traditional criteria, forecasts are neither rational nor unbiased. We also report that forecasters anti-herd, that is, forecasters seem to intentionally scatter their forecasts around a consensus forecast. We further show that cross-sectional heterogeneity of forecasts with regard to anti-herding transmits onto cross-sectional heterogeneity of forecast accuracy. Specifically, we document that forecasters who herd provide more accurate forecasts than their colleagues who anti-herd.     

What if the UK had Joined the Euro in 1999?

The issue of whether the UK should join the European single currency has been fiercely debated for the past two decades. However little research has been devoted to forecasting hypothetical projections for important UK economic variables, assuming that the UK had in fact joined the euro at its inception in 1999. This paper focuses on estimating counterfactual series for two key macroeconomic variables: unemployment and output. We do this by estimating Phillips curves for the UK, which we then use to compute counterfactual series for what unemployment and output may have looked like for the UK had they adopted the single currency in 1999. Based on the comparison of our forecasts with observed data, we find that the UK was correct in not joining the euro; had they adopted the European single currency in 1999, unemployment would have been higher and output would have been lower.     

Expectations on the yen/dollar exchange rate – Evidence from the Wall Street Journal forecast poll

We use the foreign exchange forecasts of the Wall Street Journal poll to analyze forecasters’ expectation formation process for the yen against the US dollar for the period 1989–2007. We also contrast the expectation formation process with the actual exchange rate process. We find that most forecasters have contrarian and stabilizing exchange rate expectations. Our results also indicate significant heterogeneity between forecasters. However, forecasters on average underestimate the degree of contrarian and stabilizing behavior.     

Forecasting macroeconomic variables in emerging economies

Forecasting macroeconomic variables in rapidly changing emerging economies presents a number of challenges. In addition to structural changes, the time-series data are usually available only for a short number of periods, and predictors are available in different lengths and frequencies. Dynamic model averaging (DMA), by allowing the forecasting model to change dynamically over time, permits the use of predictors with different lengths and frequencies for the purpose of forecasting in a rapidly changing economy. This study uses DMA to forecast inflation and growth in Vietnam, Thailand, Philippines, Sri Lanka and Ghana. We compare its forecasting performance with a wide range of other time-series methods. We find that the size and composition of the optimal predictor set changed, indicating changes in the economic relationships over time. We also find that DMA frequently produces more accurate forecasts than other forecasting methods for both inflation and economic growth in the countries studied.     

Development of scenario conditions as a key stage of economic forecast preparation

Formation of coordinated economic development forecasts is impossible without elaborating hypotheses and assumptions about the development of the world economy, situation in key commodity and exchange markets, parameters of economic policy, etc. The quality of forecasts and their feasibility mainly depend on how well these indices are coordinated. Different approaches to the formation of macroeconomic scenarios are considered in the paper in the framework of preparation of macroeconomic forecasts of Russia’s economic development in the medium- and long-term perspective.     

Measuring the Accuracy of Federal Reserve Forecasts

Markets across the world pay enormous attention to every economic forecast made by Federal Reserve governors, particularly those from the chair. This article develops a new way that the academic literature can assess the accuracy of these Federal Reserve forecasts. In particular, our proposed method allows for both general and specific predictions to be assessed, while also accounting for the macroeconomic volatility that prevails at the time of the forecast. To develop this measure, we expand upon a methodology proposed by the Wall Street Journal to score the accuracy of forecasts made by the Fed. Our results show that Alan Greenspan was consistently the most accurate forecaster among Fed governors, while the most recent chair in our sample, Janet Yellen, has performed relatively poorly. More generally, we find that the chairs have become less accurate over time with their forecasts and have also tended to make fewer specific predictions.     

Valuation Implications of Unconditional Accounting Conservatism: Evidence from Analysts' Target Prices

We examine whether financial analysts understand the valuation implications of unconditional accounting conservatism when forecasting target prices. While accounting conservatism affects reported earnings, conservatism per se does not have an effect on the present value of future cash flows. We examine whether analysts adjust for the effect of conservatism included in their earnings forecasts when using these forecasts to estimate target prices. We find that signed target price errors (actual minus forecast) have a significant positive association with the degree of conservatism in forward earnings, suggesting that target prices are biased due to accounting conservatism. Cross‐sectional analysis suggests that more sophisticated analysts and superior long‐term forecasters adjust for conservatism to a greater extent than other analysts. In additional analyses, we explore the mechanism through which conservatism leads to bias in target prices. We first show that analysts' earnings forecasts are negatively associated with the degree of conservatism; that is, analysts include the effect of unconditional conservatism in their earnings forecasts. Based on alternative earnings‐based valuation models that analysts may use, our evidence suggests that analysts fail to appropriately adjust their valuation multiple for the effect of conservatism included in their earnings forecasts when using these forecasts to derive target prices. As a consequence, we find that, for extreme changes in conservatism, the bias in analysts' target prices due to conservatism leads to a distortion of market prices. The evidence highlights the concern that analysts may not appreciate the valuation implications of conservative accounting which could inhibit price discovery.     

The Indonesian macroeconomy and the yield curve: A dynamic latent factor approach

We develop a fine representation of the term structure of interest rates in Indonesia and create a link between the yield curve and macroeconomic fundamentals. We construct a state-space representation of the yield curve as a function of three time-varying parameters: level, slope, and curvature factors. The model is then expanded to include three macroeconomic variables: real activity, inflation, and interest rates. We find that the dynamic latent factor model provides a very good fit to characterise the Indonesian yield curve in terms of the statistical properties for each maturity, and in terms of the properties of three latent yield-curve factors. With regards to the relationship to the macroeconomy, we find that there is a large amount of idiosyncratic variation in the yield curve movements. Therefore, macroeconomic variables can only explain small dynamics in the yield curve.     

An analysis of RSQE forecasts: 1971–1992

The purpose of this paper is to evaluate the accuracy of ex ante econometric model forecasts of four key macroeconomic variables: real GNP growth, the rate of price inflation measured by the GNP deflator, the civilian unemployment rate, and the Treasury Bill rate. Annual forecasts produced by the Research Seminar in Quantitative Economics (RSQE) based on the Michigan Quarterly Econometric Model of the U.S. Economy are compared with quasi ex ante forecasts from a four-variable vector autoregressive (VAR) model. Statistical tests of the equality of forecast error variances as well as univariate and multivariate forecast encompassing-type tests are conducted. The forecast error variance comparisons indicate that for three of the four variables the RSQE forecasts are more accurate than the VAR forecasts and for one of the variables (real GNP growth) only slightly less accurate. The forecast encompassing-type tests indicate that the RSQE forecasts contain information not contained in the VAR forecasts and, conversely, that VAR forecasts contain information not included in the RSQE forecasts. The scope for improving RSQE forecasts by combining them with VAR forecasts is rather limited, however.     

晴天送伞,雨天收伞——对金融摩擦、信贷周期和企业融资难问题的分析

微观层面上,商业银行有着“晴天送伞,雨天收伞”的行为特征;而在宏观层面上,银行信贷也存在明显的顺周期性特征。本文构建了一个带有金融摩擦的新凯恩斯主义DSGE模型,把对宏观经济现象的分析建立在坚实的微观基础之上,从而将上述两者纳入到一个统一的分析框架之内。此外,本文还运用我国的实际经济数据对模型中的结构参数进行贝叶斯估计,并对模型中的主要经济变量和外生冲击做了脉冲响应函数分析。研究发现：微观层面上,商业银行的信贷紧缩和扩张行为是其在金融市场存在信息不对称问题下的理性决策;宏观层面上,银行信贷的顺周期性是由于存在金融摩擦所导致的;在如今经济增速下行阶段,风险冲击增强了银行的惜贷慎贷情绪,加剧了企业融资难问题。最后,本文根据模型模拟为如何缓解企业融资难问题提出了一些实际的可操作的政策建议。     

Forecasting China's economic growth and inflation

Although macroeconomic forecasting forms an integral part of the policymaking process, there has been a serious lack of rigorous and systematic research in the evaluation of out-of-sample model-based forecasts of China's real GDP growth and CPI inflation. This paper fills this research gap by providing a replicable forecasting model that beats a host of other competing models when measured by root mean square errors, especially over long-run forecast horizons. The model is shown to be capable of predicting turning points and to be usable for policy analysis under different scenarios. We find that M2 supply, rather than interest rates, is a key variable for forecasting macroeconomic variables. Annual GDP growth for the next five years is predicted to be close to the 6.5% official target and a future GDP growth path is predicted to be of L-shape rather than U-shape.     

An Examination of the Statistical Significance and Economic Relevance of Profitability and Earnings Forecasts from Models and Analysts

In this paper, we propose and empirically test a cross‐sectional profitability forecasting model which incorporates two major improvements relative to extant models. First, in terms of model construction, we incorporate mean reversion through the use of a two‐stage partial adjustment model and inclusion of a number of additional relevant determinants of profitability. Second, in terms of model estimation, we employ least absolute deviation (LAD) analysis instead of ordinary least squares because the former approach is able to better accommodate outliers. Results reveal that forecasts from our model are more accurate than three extant models at every forecast horizon considered and more accurate than consensus analyst forecasts at forecast horizons of two through five years. Further analysis reveals that LAD estimation provides the greatest incremental accuracy improvement followed by the inclusion of income subcomponents as predictor variables, and implementation of the two‐stage partial adjustment model. In terms of economic relevance, we find that forecasts from our model are informative about future returns, incremental to forecasts from other models, analysts’ forecasts, and standard risk factors. Overall, our results are important because they document the increased accuracy and economic relevance of a cross‐sectional profitability forecasting model which incorporates improvements to extant models in terms of model construction and estimation.     

Credibility of European economic convergence

Credibility of European Economic Convergence. — The authors analyze economic convergence and its relation to European real interest rate differentials using a clustering method on seven macroeconomic key variables for 1979–1995. The results indicate that monetary convergence has progressed considerably but that there is hardly any real convergence in the EU. They also perform pooled nominal and real interest rate regressions with the individual cluster indicators as explanatory variables. The authors find significant positive effects of external (current account) and internal (unemployment ratios, government finance) imbalances on real interest rates. They also group countries according to economic reputation and find that real indicators remain significant for the high-reputation countries.     

Historical Decomposition of Aggregate Demand and Supply Shocks in a Small Macro Model

We estimate and analyze the impact of multiple aggregate demand and aggregate supply shocks in a small macroeconomic model of the economy. The analysis serves two purposes. First, we assess the relative importance of the various shocks in explaining the path of output over the past three decades. Second, we conduct counterfactual policy experiments which show the effects of alternative policies on key macro variables. We find that using the monetary policy tool (reserves or the base) such that constant money growth occurs would have produced superior economic results.     

我国宏观经济先行指标体系构建的实证研究

宏观经济先行指标体系的构建对于宏观经济政策选择和企业、个人投资规划制定等都具有着重要意义。论文利用Granger因果检验从经济增长、投资、消费及出口四个方面构建了先行指标体系,遴选出5个循环指标、23个领先指标、7个滞后指标以及3个同步指标,构建出一个关于宏观经济预测的指标体系,并且就各部分的先行指标体系对基准指标的预测作用进行了实证分析。     

An Assessment of the Causes of the Abandonment of the Gold Standard by the U.S. in 1933

In this paper we present an investigation of the pressures on the United States to devalue the dollar against the franc and gold in the early 1930s. We calculate monthly time-series of realignment expectations and find that these are well explained by a set of fundamental economic variables. The implication is drawn that macroeconomic events were at least in part responsible for jolting the U.S. off the gold standard and that the Federal Reserve was constrained in its response to the Depression by the United States' commitment to gold.     

Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model Averaging

In this paper we analyse the determinants of Japanese outward FDI stock for the period 1996–2017. This period is especially relevant as it covers a process of increasing economic globalization and two financial crises. To this aim, we consider a large set of candidate variables based on the theory as well as on previous empirical analysis. Our sample includes a total of 27 host countries. We select the covariates using a data-driven methodology, the Bayesian Model Averaging (BMA) analysis. Moreover, we also analyse whether these determinants change depending on the degree of development (emerging vs developed) or the geographical areas (EU vs East Asia) of the countries considered. We find that Japan's FDI can be explained by a wide variety of variables, that include not only the typical gravitational ones but also institutional and macroeconomic variables, including those that measure financial development. Moreover, Japanese FDI can be explained by both horizontal and vertical FDI motives in the groups of countries analysed. However, in developed, and more precisely, EU countries, horizontal FDI strategies are predominant, whereas for East Asian and emerging countries, there is more evidence in favour of vertical FDI.