Portfolio Selection and Asset Pricing

A special issue of Risks (ISSN 2227-9091).

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1490

Special Issue Editor


E-Mail Website
Guest Editor
Olin Business School, Washington University in St. Louis, St. Louis, MO 63130, USA
Interests: optimal consumption and investment with frictions; asset pricing; market microstructure

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue titled “Portfolio Selection and Asset Pricing”. This Special Issue will explore the latest theoretical advancements, empirical findings, and practical applications in the fields of portfolio selection and asset pricing. We invite submissions that offer novel insights, innovative methodologies, and practical solutions to the challenges faced by investors and financial professionals in these domains.

Topics of interest for this Special Issue include, but are not limited to, the following:

  • Theoretical models of portfolio selection and optimization;
  • Innovations in asset pricing models and their empirical testing;
  • Risk management strategies and their impact on portfolio performance;
  • Behavioral finance perspectives on investment decisions and asset pricing;
  • The influence of market anomalies and inefficiencies on portfolio selection;
  • Applications of machine learning and artificial intelligence in asset pricing and portfolio management;
  • Impacts of macroeconomic variables and policy changes on asset prices and portfolio choices.

We welcome contributions from academics, researchers, and practitioners who are working at the forefront of these areas. Submissions should provide rigorous analysis, robust empirical evidence, and clear implications for theory and practice. Both full-length research papers and shorter, focused studies will be considered.

Please join us in advancing our shared understanding of and practices in portfolio selection and asset pricing through high-quality research and discourse.

Prof. Dr. Hong Liu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Risks is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • portfolio selection
  • asset pricing
  • investment
  • optimal trading
  • market frictions

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 761 KiB  
Article
Automated Machine Learning and Asset Pricing
by Jerome V. Healy, Andros Gregoriou and Robert Hudson
Risks 2024, 12(9), 148; https://doi.org/10.3390/risks12090148 - 14 Sep 2024
Viewed by 1267
Abstract
We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regression-based strategies generally used in the finance and econometric literature. We examine 17 benchmark factor model specifications based on Expected Utility Theory and theory drawn from behavioural [...] Read more.
We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regression-based strategies generally used in the finance and econometric literature. We examine 17 benchmark factor model specifications based on Expected Utility Theory and theory drawn from behavioural finance. We assess whether machine learning can identify features of the data-generating process undetected by standard methods and rank the best-performing algorithms. Our tests use 95 years of CRSP data, from 1926 to 2021, encompassing the price history of the broad US stock market. Our findings suggest that machine learning methods provide more accurate models of stock returns based on risk factors than standard regression-based methods of estimation. They also indicate that certain risk factors and combinations of risk factors may be more attractive when more appropriate account is taken of the non-linear properties of the underlying assets. Full article
(This article belongs to the Special Issue Portfolio Selection and Asset Pricing)
Show Figures

Figure 1

Back to TopTop