TY - JOUR
T1 - Predicting Bond Returns
T2 - 70 Years of International Evidence
AU - Baltussen, Guido
AU - Martens, Martin
AU - Penninga, Olaf
N1 - Publisher Copyright:
© 2021 The Author(s). Published with license by Taylor and Francis Group, LLC.
PY - 2021/7/3
Y1 - 2021/7/3
N2 - We use 70 years of international data from the major bond markets to examine bond return predictability through in-sample and out-of-sample tests. Our results reveal economically strong and statistically significant bond return predictability. This finding is robust over markets and time periods, including 30 years of out-of-sample data, prolonged periods of rising or falling rates, and a dataset of nine additional countries. Furthermore, the results are not explained by market or macroeconomic risks, nor can they be easily attributed to transaction costs or other investment frictions. These results reveal predictable dynamics in government bond returns relevant for academics and practitioners.
AB - We use 70 years of international data from the major bond markets to examine bond return predictability through in-sample and out-of-sample tests. Our results reveal economically strong and statistically significant bond return predictability. This finding is robust over markets and time periods, including 30 years of out-of-sample data, prolonged periods of rising or falling rates, and a dataset of nine additional countries. Furthermore, the results are not explained by market or macroeconomic risks, nor can they be easily attributed to transaction costs or other investment frictions. These results reveal predictable dynamics in government bond returns relevant for academics and practitioners.
UR - http://www.scopus.com/inward/record.url?scp=85106210565&partnerID=8YFLogxK
U2 - 10.1080/0015198X.2021.1908775
DO - 10.1080/0015198X.2021.1908775
M3 - Article
AN - SCOPUS:85106210565
VL - 77
SP - 133
EP - 155
JO - Financial Analysts Journal
JF - Financial Analysts Journal
SN - 0015-198X
IS - 3
ER -