Predictive Modeling of Stock Indices Closing from Web Search Trends

EasyChair Preprint 1856

Abstract

The study aims to explore the strength of causal relationship between stock price search interest and real stock market outcomes on worldwide equity market indices. Such a phenomenon could also be mediated by investor behavior and extent of news coverage. The stock-specific internet search trends data and corresponding index close values from different countries stock exchanges are collected and analyzed. Empirical findings show global stock price search interests correlates more with developing economies with fewer effects in south asian stock exchanges apart from strong influence in western countries. Finally this study calls for development in expert decision support systems with the synthesis of using big data sources on forecasting market outcomes.

Keyphrases: Search Trends, Web Mining, stock prices

@booklet{EasyChair:1856,
  author    = {R. Arjun and K. R. Suprabha},
  title     = {Predictive Modeling of Stock Indices Closing from Web Search Trends},
  howpublished = {EasyChair Preprint 1856},
  year      = {EasyChair, 2019}}