IDENTIFYING EXCHANGE RATE COMMON FACTORS

B-Tier
Journal: International Economic Review
Year: 2018
Volume: 59
Issue: 4
Pages: 2193-2218

Authors (4)

Ryan Greenaway‐McGrevy (not in RePEc) Nelson C. Mark (University of Notre Dame) Donggyu Sul (University of Texas-Dallas) Jyh‐Lin Wu (not in RePEc)

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Using recently developed model selection procedures, we determine that exchange rate returns are driven by a two‐factor model. We identify them as a dollar factor and a euro factor. Exchange rates are thus driven by global, U.S., and euro‐zone stochastic discount factors. The identified factors can also be given a risk‐based interpretation. Identification motivates multilateral models for bilateral exchange rates. Out‐of‐sample forecast accuracy of empirically identified multilateral models dominates the random walk and a bilateral purchasing power parity fundamentals prediction model. Twenty‐four‐month‐ahead forecast accuracy of the multilateral model dominates those of a principal components forecasting model.

Technical Details

RePEc Handle
repec:wly:iecrev:v:59:y:2018:i:4:p:2193-2218
Journal Field
General
Author Count
4
Added to Database
2026-01-25