The Term Structure of Exchange Rate Predictability: Commonality, Scapegoat, and Disagreement

Journal of International Money and Finance

2015 Central Bank Joint Workshop on Financial Determinants of Exchange Rates; Zurich, Switzerland.

2015 Econometric Society European (Winter) Meeting; Milan, Italy.

2016 Society for Financial Econometrics Annual Conference; Hong Kong, China.

46 Pages Posted: 24 Feb 2025 Last revised: 27 Jan 2025

See all articles by Shuo Cao

Shuo Cao

Shenzhen Stock Exchange; City University of Hong Kong (CityU)

Huichou Huang

City University of Hong Kong (CityU)

Ruirui Liu

Brunel University London; King's College London

Ronald MacDonald

University of Glasgow

Date Written: March 19, 2018

Abstract

In this paper we study the exchange rate predictability across a range of investment horizons by return decomposition into forward premium component and carry trade risk premium component, for which we propose a term structure model to capture exchange rate dynamics with a broad set of predictors meanwhile handle both parameter and model uncertainties. We demonstrate the time-varying term-structural and model disagreement effects of exchange rate determinants as well as the projections of predictive information over the term structure. We also utilize the time-variation in the probability weighting from dynamic model averaging to identify the scapegoat drivers of customer order flows, which are also informative about the term structure of carry trade risk premia. Our findings reveal that heterogeneous agents learn to forecast exchange rates and switch trading rules over time, resulting in the dynamic country-specific and global exposures of exchange rates to short-run non-fundamental risk and long-run business cycle risk. Hedging pressure and liquidity are identified to contain predictive information that is common to a range of forecasting horizons. Policy-related predictors are important for short-run forecasts up to 3 months while crash risk indicators matter for long-run forecasts from 9 months to 12 months. We further comprehensively evaluate both statistical and economic significance of the model allowing for a full spectrum of currency investment management, and find that the model generates substantial performance fees of 6.5% per annum.

Keywords: Exchange Rate Forecasting, Carry Trade Risk Premia, Term Structure Factors, Scapegoat Variables, Model Disagreement, Customer Order Flows, Disconnect Puzzle

Suggested Citation

Cao, Shuo and Huang, Huichou and Liu, Ruirui and MacDonald, Ronald, The Term Structure of Exchange Rate Predictability: Commonality, Scapegoat, and Disagreement (March 19, 2018). Journal of International Money and Finance, 2015 Central Bank Joint Workshop on Financial Determinants of Exchange Rates; Zurich, Switzerland., 2015 Econometric Society European (Winter) Meeting; Milan, Italy., 2016 Society for Financial Econometrics Annual Conference; Hong Kong, China., Available at SSRN: https://ssrn.com/abstract=5112387 or http://dx.doi.org/10.2139/ssrn.5112387

Shuo Cao

Shenzhen Stock Exchange ( email )

2012 Shennan Blvd., Futian District
Shenzhen
China

City University of Hong Kong (CityU) ( email )

83 Tat Chee Avenue
Kowloon
Hong Kong

Huichou Huang (Contact Author)

City University of Hong Kong (CityU)

Global Research Unit (GRU), College of Business
Department of Economics & Finanace
Hong Kong
China

Ruirui Liu

Brunel University London ( email )

Kingston Lane
Uxbridge, Middlesex UB8 3PH
United Kingdom

King's College London ( email )

United Kingdom

Ronald MacDonald

University of Glasgow ( email )

Adam Smith Business School
Glasgow, G12 8LE
United Kingdom

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
19
Abstract Views
202
PlumX Metrics