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Modeling and forecasting daily stock returns of GT Bank Nigeria plc : application of ARMA_GARCH models, persistences, half-life volatility and backtesting Ngozi G. Emenogu, Monday Osagie Adenomon & Nwaze Obinna Nweze

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Mauritius LAP LAMBERT Academic Publishing 2019Edition: 1st edDescription: 78 p. 22 cmISBN:
  • 9786139461943
Subject(s): LOC classification:
  • HG 4529.N54 E468
Summary: This study modelled & forecasted the Guaranty Trust (GT) Bank daily stock returns from 2 Jan - 8 May,2017 data set collected from a secondary source. The ARMA-GARCH models, persistence, half-life & backtesting were used to analyse the collected data using student t and skewed student t distributions, & the analyses are carried out R environment using rugard & performanceAnayt Packages.
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This study modelled & forecasted the Guaranty Trust (GT) Bank daily stock returns from 2 Jan - 8 May,2017 data set collected from a secondary source. The ARMA-GARCH models, persistence, half-life & backtesting were used to analyse the collected data using student t and skewed student t distributions, & the analyses are carried out R environment using rugard & performanceAnayt Packages.

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