Forecasting the US Dollar in the 21st Century

• 成果类型: Article
• 署名作者: Engel, Charles; Wu, Steve Pak Yeung
• 署名单位: University of Wisconsin System; University of Wisconsin Madison; National Bureau of Economic Research; University of Wisconsin System; University of Wisconsin Madison; University of California System; University of California San Diego
• 刊物名称: JOURNAL OF INTERNATIONAL ECONOMICS
• ISSN/ISSBN: 0022-1996
• DOI: 10.1016/j.jinteco.2023.103715
• 发表日期: 2023
• 关键词: Exchange rates; Random walk exchange rate; Forecasting exchange rates

摘要

A long-standing puzzle is the near-random-walk behavior of exchange rates. Recent literature has proposed models to forecast exchange rates at medium-and long-horizons. Such tests suf-fer from small-sample bias but inferring the true test distribution is difficult. We propose two approaches to address the problem. First, since economists are interested in the value of eco-nomic models versus purely statistical models, we propose a horse-race that pits the economic models not against the random walk, but against the forecasts from the level of the exchange rate. These economic models are challenged because the level of the exchange rate appears to be a more powerful predictor than global risk variables. We also propose a second more gen-eral but less powerful test. But with both tests we demonstrate using bootstraps that the ran-dom walk cannot be rejected, so the predictive power of the lagged exchange rate and many other variables is illusory. (c) 2023 Elsevier B.V. All rights reserved.