Bespalova, Olga (2018): Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA.
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Abstract
This dissertation focuses on forecasting rare macroeconomic events, such as GDP declines and currency crises, using non-parametric methods, highlighting the advantages of the Receiver Operating Characteristic (ROC) curves analysis and the value of qualitative information from expert surveys and textual analysis in macroeconomic forecasting. Chapter 1 shows that the qualitative WES survey can produce accurate directional macroeconomic forecasts for the USA by combining the ROC curves analysis with contingency tables, and that the ROC-optimal thresholds yield more accurate predictions than the alternatives in Hutson et al. (2014). Chapter 2 re-examines indicators of currency crises from Kaminsky and Reinhart (1999) and subsequent studies using the ROC curves analysis and shows that the ROC-optimal thresholds issue more accurate signals than the minimum noise-to-signal ratio previously used in the literature. Modified ROC curves display the relationship between the precision of sent signals and the recall of crisis episodes. Forecast combinations using several ad-hoc rules help to improve forecast accuracy. Chapter 3 highlights asymmetric information about the U.S. economy between the Federal Reserve System (FRS) and the Survey of Professional Forecasters (SPF) via textual analysis of the Federal Open Market Committee (FOMC) minutes. It shows that the SPF forecasters pay close attention to the FOMC minutes available to them at the time of the forecast deadline and efficiently use its information in their set. Yet, they could improve their forecasts should the FOMC minutes from the first quarterly meetings become available without a three-week publication lag. However, during their second quarterly meetings, the FOMC policy-makers accounted only for their own earlier assessment of the U.S. macroeconomy – they did not put weight on the SPF forecasts released a few weeks earlier in the same quarter.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA. |
| English Title: | Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA. |
| Language: | English |
| Keywords: | Forecasting; macroeconomics; international finance; rare events; forecasts accuracy; forecasts evaluation; GDP; currency crises; real exchange rate (RER); trend; foreign reserves, broad money (M2); the ratio of broad money to reserves; exports; World Economic Survey (WES); Federal Reserve System (FRS); Survey of Professional Forecasters (SPF); SPF forecasters; Federal Open Market Committee (FOMC); FOMC minutes; Greenbook (GB); GB forecasts; elicit casts; textual analysis; non-parametric methods; leading indicators; binary indicators; Receiver Operating Characteristic (ROC) curves; ROC-optimal thresholds; ROC curves analysis; in-sample predictive value; out-of-sample predictive value; signal approach; precision; recall; true positive rate; false positive rate; true negative rate; false negative rate; economic surveys; consumer surveys; business tendency surveys; qualitative surveys; quantitative surveys; contingency table; present economic conditions; future economic conditions; regression approach; balance statistics; probability approach; forecast error; consensus scores; forecasting rule; directional accuracy; accuracy ratio; probability of detection; classifier; informative classifier; random guess; J-index; threshold; area under the curve (AUC); future expectations; Early Warning Indicators (EWIs); encompassing tests; rationality tests; orthogonality tests; forecasts unbiasedness; forecasts efficiency. |
| Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C18 - Methodological Issues: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C44 - Operations Research ; Statistical Decision Theory C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models > E17 - Forecasting and Simulation: Models and Applications E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook > E65 - Studies of Particular Policy Episodes E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook > E66 - General Outlook and Conditions F - International Economics > F3 - International Finance > F31 - Foreign Exchange F - International Economics > F3 - International Finance > F37 - International Finance Forecasting and Simulation: Models and Applications F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F43 - Economic Growth of Open Economies F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F47 - Forecasting and Simulation: Models and Applications |
| Item ID: | 117706 |
| Depositing User: | Olga Bespalova |
| Date Deposited: | 22 Jun 2023 06:55 |
| Last Modified: | 22 Jun 2023 06:55 |
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