TY - JOUR
T1 - Predictor Choice, Investor Types, and the Price Impact of Trades on the Tokyo Stock Exchange
AU - Yamamoto, Ryuichi
N1 - Funding Information:
The author is grateful to Hans Amman (the Editor) and an anonymous referee, who provided useful suggestions and feedback on an earlier draft. This paper has also benefitted from comments by participants at the 20th international Conference on Computing in Economics and Finance (Oslo, Norway), Monetary Economics Workshop at Osaka University, 2013, Kansai university, 2013, the 28th Annual Conference of the Japanese Society for Artificial Intelligence, 2014, and the Canon Institute for Global Studies, 2014. Financial support from the Ministry of Education, Japan, Grant-in-Aid for Scientific Research (C), 2014–2016 (Grant number: 15K03559), Grant-in-Aid for Scientific Research (B), 2019–2024 (Grant number: 19H01509), and from Waseda University is gratefully acknowledged.
Funding Information:
The author is grateful to Hans Amman (the Editor) and an anonymous referee, who provided useful suggestions and feedback on an earlier draft. This paper has also benefitted from comments by participants at the 20th international Conference on Computing in Economics and Finance (Oslo, Norway), Monetary Economics Workshop at Osaka University, 2013, Kansai university, 2013, the 28th Annual Conference of the Japanese Society for Artificial Intelligence, 2014, and the Canon Institute for Global Studies, 2014. Financial support from the Ministry of Education, Japan, Grant-in-Aid for Scientific Research (C), 2014–2016 (Grant number: 15K03559), Grant-in-Aid for Scientific Research (B), 2019–2024 (Grant number: 19H01509), and from Waseda University is gratefully acknowledged.
Publisher Copyright:
© 2021, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022/1
Y1 - 2022/1
N2 - Several agent-based theoretical models demonstrate that the fundamental or trend-following predictor, or the dynamic predictor selection between them, is the main generator of price deviation from fundamental value. However, little research has empirically attempted to determine which theory has the most explanatory power on the empirical phenomenon. This study empirically identifies which predictor is most commonly utilized by actual investors and causes the empirical feature. We identify that life or postal life insurance entities, trust banks, industrial corporations, and other corporations (branches of foreign companies located in Japan or corporations related to governments, employee stock ownership, or labor unions) interchangeably switch fundamental and technical rules over time. We also find individual investors, security companies, and investment trusts to be fundamentalists, while foreign investors are trend-followers, and investors involved in proprietary trading and other financial institutions are contrarians. Furthermore, we demonstrate that all the investors in our sample have experienced a significant price impact in their trades. Our findings provide broad support for several types of agent-based models for the generation of the empirical feature in financial markets. In addition, trust banks—considered long-term investors—use a dynamic predictor selection between fundamental and technical rules but use a contrarian strategy for their technical rule. Meanwhile, trend-following foreign investors—the most active investors in our sample—are usually short-term. Therefore, our evidence on the price impact of their trades is consistent with the finding in Fama and French (J Finance 57: 637–659, 2002) that price momentum persists in the short and medium terms but reverses in the long term. We demonstrate our result by using a unique panel dataset on order flows by investor type from the Tokyo Stock Exchange that covers 87% of the total market volume.
AB - Several agent-based theoretical models demonstrate that the fundamental or trend-following predictor, or the dynamic predictor selection between them, is the main generator of price deviation from fundamental value. However, little research has empirically attempted to determine which theory has the most explanatory power on the empirical phenomenon. This study empirically identifies which predictor is most commonly utilized by actual investors and causes the empirical feature. We identify that life or postal life insurance entities, trust banks, industrial corporations, and other corporations (branches of foreign companies located in Japan or corporations related to governments, employee stock ownership, or labor unions) interchangeably switch fundamental and technical rules over time. We also find individual investors, security companies, and investment trusts to be fundamentalists, while foreign investors are trend-followers, and investors involved in proprietary trading and other financial institutions are contrarians. Furthermore, we demonstrate that all the investors in our sample have experienced a significant price impact in their trades. Our findings provide broad support for several types of agent-based models for the generation of the empirical feature in financial markets. In addition, trust banks—considered long-term investors—use a dynamic predictor selection between fundamental and technical rules but use a contrarian strategy for their technical rule. Meanwhile, trend-following foreign investors—the most active investors in our sample—are usually short-term. Therefore, our evidence on the price impact of their trades is consistent with the finding in Fama and French (J Finance 57: 637–659, 2002) that price momentum persists in the short and medium terms but reverses in the long term. We demonstrate our result by using a unique panel dataset on order flows by investor type from the Tokyo Stock Exchange that covers 87% of the total market volume.
KW - Investor types
KW - Predictor choice
KW - Price impact
KW - Tokyo stock exchange
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U2 - 10.1007/s10614-020-10084-4
DO - 10.1007/s10614-020-10084-4
M3 - Article
AN - SCOPUS:85099104609
SN - 0921-2736
VL - 59
SP - 325
EP - 356
JO - Computer Science in Economics and Management
JF - Computer Science in Economics and Management
IS - 1
ER -