Forecasting spot and forward prices in the international freight market

被引:97
|
作者
Batchelor, Roy
Alizadeh, Amir
Visvikis, Ilias
机构
[1] City Univ London, Cass Business Sch, London EC1Y 8TZ, England
[2] ALBA, Athens, Greece
关键词
forecasting; freight market; commodity market; vector equilibrium correction model; ARIMA model;
D O I
10.1016/j.ijforecast.2006.07.004
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper tests the performance of popular time series models in predicting spot and forward rates on major seaborne freight routes. Shipping is a nonstorable service, so the forward price is not tied to the spot by any arbitrage relationship. The developing forward market is dominated by hedgers, and it is an empirical question whether forward rates contain information about future spot rates. We find that vector equilibrium correction (VECM) models give the best in-sample fit, but implausibly suggest that forward rates converge strongly on spot rates. In out-of-sample forecasting all models easily outperform a random walk benchmark. Forward rates do help to forecast spot rates, suggesting some degree of speculative efficiency. However, in predicting forward rates, the VECM is unhelpful, and ARIMA or VAR models forecast better. The exercise illustrates the dangers of forecasting with equilibrium correction models when the underlying market structure is evolving, and coefficient estimates conflict with sensible priors. (c) 2006 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:101 / 114
页数:14
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