bibtype V - Research Report
ARLID 0533693
utime 20240103224620.6
mtime 20201030235959.9
title (primary) (eng) Selective Attention in Exchange Rate Forecasting
publisher
place Praha
name UK FSV – IES
pub_time 2020
specification
media_type P
edition
name IES Working Paper
volume_id 42/2020
keyword exchange rate
keyword selective attention
keyword news
keyword forecasting
keyword dynamic model averaging
author (primary)
ARLID cav_un_auth*0394148
name1 Kapounek
name2 S.
country CZ
author
ARLID cav_un_auth*0017494
name1 Kučerová
name2 Z.
country CZ
author
ARLID cav_un_auth*0312139
name1 Kočenda
name2 Evžen
institution UTIA-B
full_dept (cz) Ekonometrie
full_dept Department of Econometrics
department (cz) E
department E
full_dept Department of Econometrics
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2020/E/kocenda-0533693.pdf
cas_special
project
ARLID cav_un_auth*0398311
project_id GA20-11769S
agency GA ČR
abstract (eng) We analyze the exchange rate forecasting performance under the assumption of selective attention. Although currency markets react to a variety of different information, we hypothesize that market participants process only a limited amount of information. Our analysis includes more than 100,000 news articles relevant to the six most-traded foreign exchange currency pairs for the period of 1979–2016. We employ a dynamic model averaging approach to reduce model selection uncertainty and to identify time-varying probability to include regressors in our models. Our results show that smaller sizes models accounting for the presence of selective attention offer improved fitting and forecasting results. Specifically, we document a growing impact of foreign trade and monetary policy news on the euro/dollar exchange rate following the global financial crisis. Overall, our results point to the existence of selective attention in the case of most currency pairs.
RIV AH
FORD0 50000
FORD1 50200
FORD2 50206
reportyear 2021
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0312004
confidential S
arlyear 2020
mrcbU02 V
mrcbU10 2020
mrcbU10 Praha UK FSV – IES