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Finance Research Letters (FRL)

Publisher :

Elsevier Inc.

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Finance
  • Economics
  • Econometrics
  • +4

e-ISSN :

1544-6131

Issue Frequency :

Quarterly

Impact Factor :

7.4

p-ISSN :

1544-6123

Est. Year :

2003

Mobile :

12152393900

DOI :

YES

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

publishing.services@elsevier.com

Journal Descriptions

Finance Research Letters invites submissions in all areas of finance, broadly defined. Finance Research Letters offers and ensures the rapid publication of important new results in these areas. We aim to provide a rapid response to papers, with all papers undergoing a desk review by one of the Editors in Chief before being sent for review. Papers are especially welcome that shed insight on the replicability or lack thereof of established results, that look at transnational applicability of previous findings, that challenge existing methodological approaches, or which demonstrate the methodological contingency of findings. Single country replications of well-established results are not generally within the scope of the journal. Papers for submission should be concise - less than 2500 words; they should be clearly and lucidly written to convey the essence of the findings and novelty; they should contain new, preliminary or experimental results of interest to the broad finance community. Topics welcomed include, but are not limited to, those below. Authors are welcome to contact any of the Chief Editors to inquire, without prejudice, as to topic suitability.


Finance Research Letters (FRL) is :

International, Peer-Reviewed, Open Access, Refereed, Finance, Economics, Econometrics, Finance Research, Microstructure, Forecasting, Financial Mathematics , Online or Print, Quarterly Journal

UGC Approved, ISSN Approved: P-ISSN - 1544-6123, E-ISSN - 1544-6131, Established in - 2003, Impact Factor - 7.4

Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Publications of FRL

Portfolio optimization using robust mean absolute deviation model: Wasserstein metric approach

Portfolio optimization can lead to misspecified stock returns that follow a known distribution. To investigate tractable formulations of the portfolio selection problem, we study these probl...

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