◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Akihiko Noda

16 papers hereh-index 9441 citations40 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • middle author5
  • last author8

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • q-fin.ST12
  • q-fin.GN2
  • econ.GN1
  • stat.ME1
same name
  • Akihiko Noda — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedA Test of the Adaptive Market Hypothesis using a Time-Varying AR Model in Japan

89 citations · 303 across the 16 of their papers we have counts for

collaborators
Showing 2012Show all

3 papers · 1 filter

q-fin.ST2012★ 89 cited

A Test of the Adaptive Market Hypothesis using a Time-Varying AR Model in Japan

Akihiko Noda

This study examines the adaptive market hypothesis (AMH) in Japanese stock markets (TOPIX and TSE2). In particular, we measure the degree of market efficiency by using a time-varyi…

q-fin.ST2012★ 66 cited

International Stock Market Efficiency: A Non-Bayesian Time-Varying Model Approach

Mikio Ito, Akihiko Noda, Tatsuma Wada

This paper develops a non-Bayesian methodology to analyze the time-varying structure of international linkages and market efficiency in G7 countries. We consider a non-Bayesian tim…

q-fin.ST2012★ 71 cited

The Evolution of Stock Market Efficiency in the US: A Non-Bayesian Time-Varying Model Approach

Mikio Ito, Akihiko Noda, Tatsuma Wada

A non-Bayesian time-varying model is developed by introducing the concept of the degree of market efficiency that varies over time. This model may be seen as a reflection of the id…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.