Classification, Detection and Analysis of Investors and Traders in Financial Markets

Objectives

  • Defining, classifying and detecting investors and traders operating in financial markets based on their operations

  • Analyze the behavior of various agents


Phases

  • Extensive web search about investor/trader types

  • Classify and define various investor/trader types with reference to literature

  • Analyze the herd behavior of investors in Borsa Istanbul

  • Develop algorithms and codes to detect various investor/trader types from transaction data

  • Analyze the market share of these agents intraday

  • Determine their interactions


Team

  • Cumhur Ekinci (Coordinator)

  • Oğuz Ersan (Researcher)

  • Nihan Dalgıç (PhD Assistant)

  • Abdullah Kayacan (Undergraduate Assistant)

  • Doğucan Tazegül (Undergraduate Assistant)


Dates

Dec 2017-June 2019


Financial Support

TUBITAK ARDEB 3001 (Project No 117K908)


Budget

TRY 94,490 (nearly USD 20,000)


Announcement for scholarship