activity
20002022
most citedSpeculative bubbles and crashes in stock market: an interacting-agent model of speculative activity

171 citations · 993 across the 36 of their papers we have counts for

collaborators

36 papers

q-fin.ST2022★ 1 cited

Mechanism of information transmission from a spot rate market to crypto-asset markets

Takeshi Yoshihara, Taisei Kaizoji

We applied the SVAR-LiNGAM to illustrate the causal relationships between the spot exchange rate, and three crypto-asset exchange rates, Bitcoin, Ethereum, and Ripple. It was notab…

q-fin.GN2019★ 39 cited

Fat Tails in Financial Return Distributions Revisited: Evidence from the Korean Stock Market

Cheoljun Eom, Taisei Kaizoji, Enrico Scalas

This study empirically re-examines fat tails in stock return distributions by applying statistical methods to an extensive dataset taken from the Korean stock market. The tails of…

econ.GN2017

Zipf's law for share price and company fundamentals

Taisei Kaizoji, Michiko Miyano

We statistically investigate the distribution of share price and the distributions of three common financial indicators using data from approximately 8,000 companies publicly liste…

econ.GN2016★ 1 cited

Toward Economics as a New Complex System

Taisei Kaizoji

The 2015 Nobel Prize in Economic Sciences was awarded to Eugene Fama, Lars Peter Hansen and Robert Shiller for their contributions to the empirical analysis of asset prices. Eugene…

q-fin.GN2016★ 11 cited

Stock Market Market Crash of 2008: an empirical study of the deviation of share prices from company fundamentals

Taisei Kaizoji, Michiko Miyano

The aim of this study is to investigate quantitatively whether share prices deviated from company fundamentals in the stock market crash of 2008. For this purpose, we use a large d…

q-fin.ST2013

Modeling of Stock Returns and Trading Volume

Taisei Kaizoji

In this study, we investigate the statistical properties of the returns and the trading volume. We show a typical example of power-law distributions of the return and of the tradin…