CiteNScope — Scholarly Index & Analytics
Discover / IJRBSPUBLICATION RECORD

Investigating the market tightness of selected stocks in the Johannesburg Stock Exchange

Samuel Tabot Enow

International Journal of Research in Business and Social Science · 2024 · Vol. 13 / Issue 6 · 158-163

Research reach

Publication metrics

External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.

Dimensions

Live provider badge. If unavailable, use the Dimensions link above.

CROSSREF CITATIONS0

Observed 21 Oct 2026, 07:22 UTC

OpenAlex · Citations0Cached provider observation

Observed 21 Oct 2026 07:22 UTC

Mendeley · Readers3Cached provider observation

Observed 21 Oct 2026 22:56 UTC

OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.

OpenAlex / Citation year

Annual citations to this article

View provider totals ↑

Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.

2017–2026 Annual history last updated:

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage

2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.

Overview

Abstract

The market tightness of equity securities is an integral component of financial market because it supports smooth trading and absorb market shocks. However, the contention has always been to effectively determine the level of tightness in equity securities with the application of proper methodology in order to make informed decisions. Therefore, aim of this study was to examine the level of market tightness in selected stocks in the Johannesburg stock exchange. Using a variance ratio model, the findings of this study indicates that most securities trading on the exchange lack market tightness. This was evident in the difference between the one, two and three months variances that were not equal to 1 . Therefore, a specialist system should be introduced in order to facilitate the execution of trades without significantly moving the prices of equity securities. This study improves the frontier of knowledge regarding liquidity management, by empirically investigating the market tightness of equity securities.

Keywords: {'name': 'Market Tightness; Variance Test; Equity Securities'}

Authors & affiliations

Samuel Tabot Enow
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

DOI: 10.1080/10835547.2016.12090415

DOI: 10.1007/s41464-018-0049-z

DOI: 10.2307/2297968

DOI: 10.1177/0972652714541340

Bhattacharya, S. N., & Bhattacharya, M. (2018). Persistence in liquidity measures: evidence from India. Academy of Accounting and Financial Studies Journal, 22(2):1-11.

DOI: 10.1080/23322039.2019.1586297

DOI: 10.1111/jfir.12229

DOI: 10.32479/ijefi.13752

Fox, M. B., Glosten, L. R., & Rauterberg, G.V. (2018). Stock Market Manipulation and Its Regulation. Yale J. Reg, 35(1): 67-126.

Hayes, A. (2019 September 30). Tight Market. Retrieve from https://www.investopedia.com/terms/t/tight-market.asp.

DOI: 10.1093/rfs/hhz048

DOI: 10.1504/IJCEE.2019.10021465

Saleemi, J. (2014). An empirical Analysis of cost based market liquidity measures for US & Norwegian Banks. Published Master’s dissertation. University of Nordland, BodØ.

DOI: 10.1109/SSCI.2017.8280814

DOI: 10.2139/ssrn.880932

Viceira, L.M., & Campbell, J. (2004). Long-Horizon Mean-Variance Analysis: A User Guide. Available at https://www.semanticscholar.org/paper/Long-Horizon-Mean-Variance-Analysis%3A-A-User-Guide-ViceiraCampbell/746c27f685ffc75c5bc63b7ac03df48a55dece4a.

DOI: 10.12691/jfe-5-6-2

DOI: 10.1086/466942