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Advances in Decision Sciences (ADS)

Advances in Decision Sciences (ADS)

Published by Asia University, Taiwan; Scientific and Business World

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Empirical Significance of Movements in Stock Trading Platforms in NSE Market Structure

Empirical Significance of Movements in Stock Trading Platforms in NSE Market Structure

Title

Empirical Significance of Movements in Stock Trading Platforms in NSE Market Structure

Authors

  • Janani Ravinagarajan
    Vellore Institute of Technology, Kelambakkam, Chennai
  • Sharon Sophia
    Vellore Institute of Technology, Kelambakkam, Chennai

Abstract

Information is the game-changer in the stock market environment. The distinction in terms of access to trade information (colocation, high frequency, direct market access, and smart order routing trades), machine interfered decisions making (Algorithmic-trades), and conventional trades (non-algorithmic trades) with or without mobile/internet connectivity defines market microstructure in a new perspective. The study evaluates movements along with price and volatility to understand the significance of trading movements in each platform. The study provides evidence that non-algorithmic trades are independent of market return and volatility while colocation trades are asymmetric. The GARCH framework identifies that colocation, internet, and algorithmic platforms explain volatility persistence for the study period. The study concludes that the trade movement of a specific platform acts as a proxy for information flow to identify signals for trade decisions by the traders of other platforms.

Keywords

Volume of Trade, Returns, Volatility, Trading Platforms, Conditional Volatility, GARCH

Classification-JEL

G1, G12

Pages

99-122

https://doi.org/10.47654/v26y2022i3p99-122

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ISSN 2090-3359 (Print)
ISSN 2090-3367 (Online)

Asia University, Taiwan

Scientific and Business World

4.7
2023CiteScore
 
86th percentile
Powered by  Scopus
SCImago Journal & Country Rank
Q2 in Scopus
CiteScore 2023 = 4.7
CiteScoreTracker 2024 = 8.5
SNIP 2023 = 0.799
SJR Quartile = Q1
SJR 2024 = 0.814
H-Index = 20

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