ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

Call for Papers: Second SEBI-NISM Research Conference


Second SEBI-NISM Research Conference invites academicians, researchers, students and other stakeholders to send original unpublished research papers on “Behavior of Securities Markets – Sighting of Black Swan”. The conference is to be held in the webinar mode during 19-20 February, 2021.

The goal of this conference is to continuously improve the research standards in securities markets, facilitate industry academia interaction and exchange of information and knowledge. This conference is a platform for every participant to share their unique perspectives, thoughts and knowledge.

Conference Themes:

The conference themes include the following:

  • Securities Market Response to Black Swan Events;
  • Corporate Finance Response to COVID-19;
  • Regulatory Response to Black Swan Events;
  • Impact of Pandemic on Corporate Governance and Disclosure Standards;
  • Impact of Technology on Economy and Markets during COVID-19;
  • Any Other Topic Related to Conference Theme.                        

Call for Papers:

Academicians, researchers, students and other stakeholders are invited to submit abstracts related to the above specified themes only.

Author/co-author can submit only one abstract (not less than 300 words) that provides insights into the potential findings, data source and details of methodology of the study. The submitted work should not have been published elsewhere and should not be intended to be published elsewhere during the review period. Abstracts as per the above guidelines are to be submitted to

Final papers are to be submitted on or before the specified dates. Final paper submission is to be done through Easychair (Details will be communicated later). The guidelines for the paper submission are –

  1. There will be only paper by one author/co-author.
  2. Only empirical papers will be considered for this conference.
  3. Papers shall not be longer than 10,000 words excluding bibliography and references.
  4. Papers shall be based on data sourced from authentic sources only. The source of data used/referred in the paper should be clearly mentioned.
  5. Papers needs to be submitted in pdf/word without the details of the author along with a maximum of 5 key words along with Journal of Economic Literature (JEL) codes.
  6. The paper should be unpublished, original and empirical. The font should be in Times New Roman with 12 font size and single spaced.
  7. The plagiarism of the paper should not exceed 25%. If it exceeds will not be considered for the review process.
  8. All papers will be blind reviewed to ensure an adequate standard, proposed subject of the submitted abstract has been followed, length of paper.
  9. The author's details including name, title, current position along with the name of the organisation, and contact details needs to be mentioned only in the title page. The authors need to submit two files. One is the title page and another is the main paper.
  10. No changes will be allowed in the paper title, paper and authorship after submission.
  11. Footnotes can be used but end notes need to be avoided.
  12. Authors will be fully responsible for the accuracy of the data used in the manuscripts. Due reference needs to be given in the paper for the same.
  13. Bibliographical references need to be cited using the American Psychological Association (APA) style.
  14. All tables need to be numbered in Arabic numerals and should always be cited in the text with consecutive numbers. Each table should contain a ‘’Title of the Table’’. Footnotes of the table should be in subscript lowercase letters and needs to be placed below the table body. The table font should be 10, times new roman and it should be properly aligned.
  15. All figures need to be numbered and titled in chronological order. The figures should not be blurred.
  16. Paper layout should be One-column Portrait.
  17. Any violation of the rules given above will cause for the rejection of the paper.

Bibliographic References:

  1. References should include (a) Author's surname, initials as it appears on the cited works, (b) Year of publication, (c) "Title of the paper", (d) Name of the Journal, (e) Volume number, (f) (Issue number), and (g) Page references.
  2. References must appear at the end of the manuscript and not as footnotes on each page.
  3. Each source cited in the paper must appear in the reference list; likewise, each entry in the reference list must be cited in the text portion of the paper.
  4. Reference list entries should be alphabetized by the last name of the first author of each work.
  5. Authors' names need to be inverted (last name first); give the last name and initials for all authors of a particular work for up to and including seven authors.
  6. All major words in journal titles needs to be capitalize. When referring to books, chapters, articles, or webpages, capitalize only the first letter of the first word of a title and subtitle.
  7. An example of bibliographic reference is given below-

Sims, C. A., Stock, J. H., and Watson, M. (1990), Inference in Linear Time Series Models with Some Unit Roots, Econometrica58, 113–144.

Selection of Papers:

  1. Papers submitted on or before the timeline will only be considered.
  2. Decision of Selection Committee on acceptance/rejection of the paper will be final.
  3. A lump sum amount of ₹ 5,000 will be awarded per selected paper to the author (to the first author only, if the paper is co-authored).
  4. The conference will offer the Best Paper Award to three best papers (first, second and third) and will be awarded ₹ 30,000, ₹ 25,000 and ₹ 20,000 respectively, which will be announced at valedictory session.

Paper submission timelines:

  1. Last date for Submission of Abstract: October 31, 2020
  2. Last date for Submission of Final Paper: December 10, 2020
  3. Announcement of Acceptance of Paper: January 25, 2021

For any queries related to abstract and paper submission contact:

Mr. Ashutosh Kumar

Email Id:

Mobile No.: 9326022370/7506581992

WhatsApp No.: 7506581992



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