Machine learning, big data, and the cross-section of stock returns in international markets

2022/45/B/HS4/00451

Keywords

Descriptors

  • HS4_006: Rynki finansowe, finanse międzynarodowe, finanse publiczne

Panel

HS4 – Individuals, institutions, markets: economics, finance, management, demography, social and economic geography, urban studies

Host institution

Uniwersytet Ekonomiczny w Poznaniu, Instytut Finansów

Voivodeship: wielkopolskie

Other projects carried out by the institution »

Principal investigator (from the host institution)

dr hab. Adam Zaremba

Number of co-investigators in the project: 2

Call

OPUS 23 – announced on 2022-03-28

Amount awarded
503 145 PLN
Project start date
2023-01-27
Project end date
2027-01-26
Project duration
48 months (the same as in the proposal)
Project status
Pending project

Project description

Download the project description in a pdf file

Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

Publication in academic press/journals (6)

  1. Do Anomalies Really Predict Market Returns? New Data and New Evidence

    Authors:
    Nusret Cakici, Christian Fieberg, Daniel Metko, Adam Zaremba
    Academic press:
    Review of Finance (year: 2023, volume: 28(1), pages: 16072), Publisher: Oxford Academics
    Status:
    Published
    DOI:
    10.1093/rof/rfad025 – link to the publication
  2. Cross-country factor momentum

    Authors:
    Christian Fieberg, Daniel Metko, Adam Zaremba
    Academic press:
    Economics Letters (year: 2024, volume: 235, pages: 111552), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.econlet.2024.111552 – link to the publication
  3. Factor momentum versus price momentum: Insights from international markets

    Authors:
    Nusret Cakici, Christian Fieberg, Daniel Metko, Adam Zaremba
    Academic press:
    Journal of Banking and Finance (year: 2024, volume: 170, pages: 107332), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jbankfin.2024.107332 – link to the publication
  4. A factor model for the cross-section of country equity risk premia

    Authors:
    Christian Fieberg, Gerrit Liedtke, Adam Zaremba, Nusret Cakici
    Academic press:
    Journal of Banking and Finance (year: 2024, volume: 171, pages: 107373), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jbankfin.2024.107373 – link to the publication
  5. Machine learning goes global: Cross-sectional return predictability in international stock markets

    Authors:
    Nusret Cakici, Christian Fieberg, Daniel Metko, Adam Zaremba
    Academic press:
    Journal of Economic Dynamics and Control (year: 2023, volume: 155, pages: 104725), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jedc.2023.104725 – link to the publication
  6. Factor seasonalities: International and further evidence

    Authors:
    Aleksander Mercik, Daniel Cupriak, Adam Zaremba
    Academic press:
    Finance Research Letters (year: 2023, volume: 58, Part A, pages: 104293), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.frl.2023.104293 – link to the publication

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