Special Issue "Machine Learning for Empirical Finance"
Deadline for manuscript submissions: 31 August 2021.
Department of Economics, University of Southampton, Highfield Campus, SO17 1BJ, Southampton, UK.
Interests: financial economics; machine learning; financial econometrics; portfolio theory
The application of statistical science to empirical finance has changed a great deal in the past ten years in response to technological advances and, in particular, to the development of machine learning methods. Financial markets are awash with big and complicated data, and researchers are trying to make sense out of it. Whereas traditionally scientists fit a few statistical models by hand, now they use sophisticated computational tools to search through a large number of models, looking for meaningful patterns and accurate predictions. Standard statistical methods for modelling financial data have been extended by machine learning models in many ways. Empirical finance models based on machine learning techniques now allow for more predictors than observations, incorporate non-linear relationships, accommodate interactions between predictors and, the presence of strong correlations. One of the main advantages of these novel models is the gain in predictive performance compared to standard statistical models and the ease of manipulation due to the availability of toolboxes and off-the-self routines that make their implementation straightforward even in large dimensions. The aim of this Special Issue is to obtain a deeper insight into these methods and their potential for applications in all fields of empirical finance.
Prof. Dr. Jose Olmo
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 papers will be 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. 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 1200 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.
- Machine learning
- Shrinkage methods
- Big data applications
- Empirical finance
- Portfolio theory