词条 | Economic forecasting | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
释义 |
Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal deficit—or at a more disaggregated level, for specific sectors of the economy or even specific firms. Many institutions engage in economic forecasting: national governments, banks and central banks, consultants and private sector entities such as think-tanks, companies and international organizations such as the International Monetary Fund, World Bank and the OECD. Some forecasts are produced annually, but many are updated more frequently. The economist typically considers risks (i.e., events or conditions that can cause the result to vary from their initial estimates). These risks help illustrate the reasoning process used in arriving at the final forecast numbers. Economists typically use commentary along with data visualization tools such as tables and charts to communicate their forecast.[1]In preparing economic forecasts a variety of information has been used in an attempt to increase the accuracy. Everything from macroeconomic[2], microeconomic[3], market data from the future[4], machine-learning (artificial neural networks)[5], and human behavioral studies[6] have all been used to achieve better forecasts. Forecasts are used for a variety of purposes. Governments and businesses use economic forecasts to help them determine their strategy, multi-year plans, and budgets for the upcoming year. Stock market analysts use forecasts to help them estimate the valuation of a company and its stock. Economists select which variables are important to the subject material under discussion. Economists may use statistical analysis of historical data to determine the apparent relationships between particular independent variables and their relationship to the dependent variable under study. For example, to what extent did changes in housing prices affect the net worth of the population overall in the past? This relationship can then be used to forecast the future. That is, if housing prices are expected to change in a particular way, what effect would that have on the future net worth of the population? Forecasts are generally based on sample data rather than a complete population, which introduces uncertainty. The economist conducts statistical tests and develops statistical models (often using regression analysis) to determine which relationships best describe or predict the behavior of the variables under study. Historical data and assumptions about the future are applied to the model in arriving at a forecast for particular variables.[7] Sources of forecastsGlobal scopeThe Economic Outlook is the OECD’s twice-yearly analysis of the major economic trends and prospects for the next two years.[8] The IMF publishes the World Economic Outlook report twice annually, which provides comprehensive global coverage.[9] U.S. forecastsThe U.S. Congressional Budget Office (CBO) publishes a report titled "The Budget and Economic Outlook" annually, which primarily covers the following ten-year period.[10] The U.S. Federal Reserve Board of Governors members also give speeches, provide testimony, and issue reports throughout the year that cover the economic outlook.[11][12] Large banks such as Wells Fargo and JP Morgan Chase provide economics reports and newsletters.[13][14] Combining ForecastsForecasts from multiple sources may be arithmetically combined and the result is often referred to as a consensus forecast. A large volume of forecast information is published by private firms, central banks and government agencies to meet the strong demand for economic forecast data. Consensus Economics, among others, compiles the macroeconomic forecasts prepared by a variety of forecasters, and publishes them every month. The Economist magazine regularly provides such a snapshot as well, for a narrower range of countries and variables. Forecast methodsThe process of economic forecasting is similar to data analysis and results in estimated values for key economic variables in the future. An economist applies the techniques of econometrics in their forecasting process. Typical steps may include:
Forecasters may use computational general equilibrium models or dynamic stochastic general equilibrium models. The latter are often used by central banks. Methods of forecasting include Econometric models, Consensus forecasts, Economic base analysis, Shift-share analysis, Input-output model and the Grinold and Kroner Model. See also Land use forecasting, Reference class forecasting, Transportation planning and Calculating Demand Forecast Accuracy. The World Bank provides a means for individuals and organizations to run their own simulations and forecasts using its iSimulate platform.[15] Issues in forecastingForecast accuracyThere are many studies on the subject of forecast accuracy. Accuracy is one of the main, if not the main criteria, used to judge forecast quality. Some of the references below relate to academic studies of forecast accuracy. In early 2014 the OECD carried out a self-analysis of its projections.[16] "The OECD also found that it was too optimistic for countries that were most open to trade and foreign finance, that had the most tightly regulated markets and weak banking systems" according to the Financial Times.[17] Forecasts and the Great RecessionThe financial and economic crisis that erupted in 2007—arguably the worst since the Great Depression of the 1930s—was not foreseen by most of the forecasters, even if a few lone analysts had been predicting it for some time (for example, Nouriel Roubini and Robert Shiller). The failure to forecast the "Great Recession" has caused a lot of soul searching in the profession. The UK’s Queen Elizabeth herself asked why had nobody noticed that the credit crunch was on its way, and a group of economists—experts from business, the City, its regulators, academia, and government—tried to explain in a letter.[18] List of regularly published surveys based on polling economists on their forecasts
See also
Footnotes1. ^[https://www.wellsfargo.com/com/insights/economics/ Wells Fargo Economics-Multiple Examples of Reports Using Data Visualization-Retrieved July 15, 2015] 2. ^{{cite journal|last1=French|first1=J|date=1 March 2017|title=Macroeconomic Forces and Arbitrage Pricing Theory|journal=Journal of Comparative Asian Development|volume=16|issue=1|pages=1–20|doi=10.1080/15339114.2017.1297245}} 3. ^{{cite journal|last1=French|first1=J|year=2016|title=Economic determinants of wine consumption in Thailand|journal=International Journal of Economics and Business Research|volume=12|issue=4|pages=334|doi=10.1504/IJEBR.2016.081229}} 4. ^{{cite journal|last1=French|first1=J|date=11 Dec 2016|title=The time traveller's CAPM|journal=Investment Analysts Journal|volume=46|issue=2|pages=81–96|doi=10.1080/10293523.2016.1255469}} 5. ^{{cite journal|last1=French|first1=J|date=20 July 2016|title=Back to the Future Betas: Empirical Asset Pricing of US and Southeast Asian Markets|journal=International Journal of Financial Studies|volume=4|issue=3|page=15|doi=10.3390/ijfs4030015}} 6. ^{{cite journal|last1=French|first1=J|date=December 2017|title=Asset pricing with investor sentiment: On the use of investor group behavior to forecast ASEAN markets|journal=Research in International Business and Finance|volume=42|pages=124–148|doi=10.1016/j.ribaf.2017.04.037}} 7. ^{{cite book|title=Introductory Econometrics with Applications-Third Edition|last=Ramanathan|first=Ramu|publisher=The Dryden Press|year=1995|isbn=978-0-03-094922-7}} 8. ^{{Cite web | url=http://www.oecd.org/eco/outlook/forecastingmethodsandanalyticaltools.htm | title=Forecasting methods and analytical tools - OECD}} 9. ^IMF-World Economic Outlook-April 2015 10. ^[https://www.cbo.gov/publication/49892 Congressional Budget Office-The Budget and Economic Outlook 2015-2025-January 2015] 11. ^Federal Reserve-Fed Chair Janet Yellen Speech-July 10, 2015 12. ^Federal Reserve-Monetary Policy Report-Retrieved July 2015 13. ^[https://www.wellsfargo.com/com/insights/economics/ Wells Fargo Economics-Retrieved July 2015] 14. ^[https://www.jpmorganfunds.com/cm/Satellite?UserFriendlyURL=diguidetomarkets&pagename=jpmfVanityWrapper JP Morgan Chase-Guide to the Markets Q3 2015 - Retrieved July 2015] 15. ^{{Cite web | url=http://isimulate.worldbank.org | title=ISimulate @ World Bank}} 16. ^OECD forecasts during and after the financial crisis: a post mortem 17. ^Financial Times 18. ^British Academy-The Global Financial Crisis Why Didn't Anybody Notice?-Retrieved July 27, 2015 {{webarchive|url=https://web.archive.org/web/20150707135349/http://www.britac.ac.uk/events/archive/forum-economy.cfm |date=July 7, 2015 }} 19. ^{{Cite web|url=https://www.focus-economics.com/analyst-network|title=Our Analyst Network {{!}} FocusEconomics|last=FocusEconomics|website=FocusEconomics {{!}} Economic Forecasts from the World's Leading Economists|language=en|access-date=2018-10-26}} 20. ^{{Cite web|url=https://www.focus-economics.com/countries|title=Economic Indicators - List by Country and Region - FocusEconomics|last=FocusEconomics|website=FocusEconomics {{!}} Economic Forecasts from the World's Leading Economists|language=en|access-date=2018-10-26}} 21. ^{{Cite web|url=http://www.haver.com/new_databases.html|title=Haver Analytics|website=www.haver.com|language=en|access-date=2018-10-26}} 22. ^{{Cite web|url=https://www.focus-economics.com/about-us|title=About Us {{!}} FocusEconomics|last=FocusEconomics|website=FocusEconomics {{!}} Economic Forecasts from the World's Leading Economists|language=en|access-date=2018-10-26}} 23. ^{{Cite web|url=http://www.haver.com/new_databases.html|title=Haver Analytics|website=www.haver.com|language=en|access-date=2018-10-26}} 24. ^1 2 3 {{cite web|url=http://www.consensuseconomics.com|title = Consensus Economics|publisher = Consensus Economics|accessdate = April 14, 2014}} 25. ^1 2 3 4 {{cite web|url=http://www.consensuseconomics.com/about.htm|title = Consensus Economics (about page)|publisher = Consensus Economics|accessdate = April 14, 2014}} 26. ^{{cite web|url=http://www.consensuseconomics.com/Data_For_Institutional_Investors.htm|title = Data For Institutional Investors|publisher = Consensus Economics|accessdate = April 14, 2014}} 27. ^1 2 3 {{cite web|url=http://www.aspenpublishers.com/product.asp?catalog_name=Aspen&category_name=&product_id=SS01934600|title = Blue Chip Economic Indicators|last = Moore|first = Randell E.|accessdate = April 13, 2014}} 28. ^1 2 {{cite web|url=http://www.philadelphiafed.org/research-and-data/real-time-center/survey-of-professional-forecasters/|title = Survey of Professional Forecasters|publisher = Federal Reserve Bank of Philadelphia|accessdate = April 13, 2014}} 29. ^1 {{cite web|url=http://www.phil.frb.org/research-and-data/publications/business-review/1993/brnd93dc.pdf|title = Introducing: The Survey of Professional Forecasters|last = Croushure|first = Dean|date = November–December 1993|publisher = Business Review}} 30. ^1 2 {{cite web|url=http://www.ecb.europa.eu/stats/prices/indic/forecast/html/index.en.html|title = ECB Survey of Professional Forecasters|publisher = European Central Bank|accessdate = April 13, 2014}} 31. ^1 {{cite web|url=http://www.ecb.europa.eu/pub/pdf/scpops/ecbocp8.pdf|title = An Introduction to the ECB's Survey of Professional Forecasters|author = Juan Angel Garcia|date = September 2003|publisher = European Central Bank}} 32. ^1 2 3 {{cite web|url=http://www.philadelphiafed.org/research-and-data/real-time-center/livingston-survey/|title = Livingston Survey|publisher = Federal Reserve Bank of Philadelphia|accessdate = April 17, 2014}} Further reading
External links
2 : Economic forecasting|Mathematical and quantitative methods (economics) |
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