G2TT
来源类型Discussion paper
规范类型论文
来源IDDP6991
DP6991 Do Trade Costs in Goods Market Lead to Home Bias in Equities?
Nicolas Coeurdacier
发表日期2008-10-23
出版年2008
语种英语
摘要Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate driftless random walk models, especially at short horizons. Multivariate time series models suffer from the same problem. In this paper, we propose to forecast exchange rates with a large Bayesian VAR (BVAR), using a panel of 33 exchange rates vis-a-vis the US Dollar. Since exchange rates tend to co-move, the use of a large set of them can contain useful information for forecasting. In addition, we adopt a driftless random walk prior, so that cross-dynamics matter for forecasting only if there is strong evidence of them in the data. We produce forecasts for all the 33 exchange rates in the panel, and show that our model produces systematically better forecasts than a random walk for most of the countries, and at any forecast horizon, including at 1-step ahead.
主题International Macroeconomics
关键词Bayesian var Exchange rates Forecasting
URLhttps://cepr.org/publications/dp6991
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/535846
推荐引用方式
GB/T 7714
Nicolas Coeurdacier. DP6991 Do Trade Costs in Goods Market Lead to Home Bias in Equities?. 2008.
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