Lanne, Markku (2007): The Properties of Market-Based and Survey Forecasts for Different Data Releases.
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Abstract
We compare the accuracy of the survey forecasts and forecasts implied by economic binary options on the U.S. nonfarm payroll change. These options are available for a number of ranges of the announced figure, and each pays $1 if the released nonfarm payroll change falls in the given range. For the first-release data both the market-based and survey forecasts are biased, while they are rational and approximately equally accurate for later releases. Both forecasts are more accurate for later releases. Because of predictability in the revision process, this indicates that the investors in the economic derivatives market are incapable of taking the measurement error in the preliminary estimates efficiently into account. This suggests that economic stability could be enhanced by more accurate first-release figures.
Item Type: | MPRA Paper |
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Institution: | HECER |
Original Title: | The Properties of Market-Based and Survey Forecasts for Different Data Releases |
Language: | English |
Keywords: | Expectations; economic derivatives; data vintage; real-time data |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy D - Microeconomics > D8 - Information, Knowledge, and Uncertainty C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; Data Access |
Item ID: | 3877 |
Depositing User: | Markku Lanne |
Date Deposited: | 06 Jul 2007 |
Last Modified: | 26 Sep 2019 17:16 |
References: | Bomfim, A.N. (2001), Measurement error in general equilibrium: the aggregate effects of noisy economic indicators. Journal of Monetary Economics 48, 585–603. Diebold, F.X., T. Gunther, and A.S. Tay (1998), Evaluating density forecasts, with applications to financial risk management. International Economic Review 39, 863–883. Fair, R.C., and R.J. Shiller (1990), Comparing information in forecasts from econometric models. American Economic Review 80, 375–389. Gürkaynak, R., and J.Wolfers (in press), Macroeconomic derivatives: An initial analysis of market-based macro forecasts, uncertainty, and risk. NBER International Seminar on Macroeconomics, 2005. Ottaviani, M., and P.N. Sørensen (2006), The strategy of professional forecasting. Journal of Financial Economics 81, 441–466. Swanson, N.R., and D. van Dijk (2006), Are statistical reporting agencies getting it right? Data rationality and business cycle asymmetry. Journal of Business and Economic Statistics 24, 24–42. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/3877 |