Portfolio Choice and Asset Allocation

A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Financial Markets".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 1100

Special Issue Editors


E-Mail Website
Guest Editor
MIM-Kyiv Business School, 04116 Kyiv, Ukraine
Interests: portfolio management; portfolio optimization; risk management; asset pricing; valuation

E-Mail Website
Guest Editor
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
Interests: mathematical optimization and its applications in logistics; supply-chain management; financial engineering (asset allocation, option pricing); smart material design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of JRFM aims to bring together recent work in the areas of asset pricing, risk assessment, risk management, and portfolio optimization in an effort to develop mathematical frameworks and models for portfolio choice and asset allocation that can be used in asset management and investment banking industries. We will place a special emphasis on practical usefulness on the proposed mathematical toolkits and illustrations of their efficacy on real-world asset cases. Ideally, an article should combine a clear and concise math model with numerical examples of practical investment strategies or risk budgeting for the set of publicly traded stocks, bonds, or ETFs that are based on the proposed model and can be replicated using the available market data.

Topics of interest include, but are not limited to, the following:

  • Asset pricing models and their application for returns estimation;
  • Risk assessment, risk measurement, risk budgeting for real-world assets;
  • Portfolio construction and optimization for the asset-only strategies;
  • Portfolio choice for the asset–liability matching strategies;
  • Asset allocation and tracking risk management for tracking portfolios;
  • Asset allocation for the core–satellite strategies;
  • Incorporating practical nuances of rebalancing, transaction costs, and taxation into math models for portfolio management.

Dr. Valentyn Khokhlov
Prof. Dr. Roy H. Kwon
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. Journal of Risk and Financial Management 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 1600 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

  • asset pricing models
  • risk assessment
  • risk management
  • portfolio choice
  • portfolio optimization
  • asset allocation
  • investment strategies
  • rebalancing

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.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (1 paper)

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

Research

15 pages, 588 KB  
Article
The Irrelevance of Lending-Value Constraints in Long-Term Portfolio Optimization: A Twenty-Year Analysis Spanning Two Financial Crises
by Leonardo Cid, Arturo Cifuentes and Michael McAdams
J. Risk Financial Manag. 2026, 19(4), 282; https://doi.org/10.3390/jrfm19040282 - 14 Apr 2026
Viewed by 614
Abstract
This study examines the potential benefits of incorporating a lending-value criterion into the design of portfolios with long-term objectives. Because such portfolios often include significant positions in illiquid assets—typically difficult to sell under stressful market conditions—it has been argued that they should be [...] Read more.
This study examines the potential benefits of incorporating a lending-value criterion into the design of portfolios with long-term objectives. Because such portfolios often include significant positions in illiquid assets—typically difficult to sell under stressful market conditions—it has been argued that they should be designed with this constraint in mind. The underlying idea is that portfolios with adequate borrowing capacity may be better able to withstand adverse market conditions and thus avoid the losses incurred when managers are forced to sell assets under duress. Using returns data over a twenty-year period, which included two major financial crises, the study finds that the potential benefits of this approach are minimal. In other words, adding a lending-value constraint to the optimization problem is largely irrelevant, since in most cases the constraint is not binding. Put differently, the asset weights selected under the standard optimization framework already yield portfolios with an adequate lending value. Full article
(This article belongs to the Special Issue Portfolio Choice and Asset Allocation)
Show Figures

Figure 1

Back to TopTop