Introduction

No Thumbnail Available
File version
Author(s)
Mostafa, F
Dillon, T
Chang, E
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2017
Size
File type(s)
Location
License
Abstract

Technological advances such as the introduction of the internet and increase of mobile devices have allowed for instant information sharing and consumption around the world. This has led world markets to become integrated, thereby increasing trading activity on the stock exchange by local and foreign investors. The purpose of each trading activity is very much dependent on the agenda of the participant. For instance, stocks can be bought or sold for different reasons such as the readjustment of the hedge position or for simple profit realisation. This random behaviour of the investors introduces a source of uncertainty to the markets that can have adverse effects on the evaluation of portfolio risk exposure. This uncertainty in the market variables is known as market risk. By definition, market risk is the potential loss of value of an asset due to movements in market factors.

Journal Title
Conference Title
Book Title

Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

Edition

1st

Volume

697

Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Control engineering, mechatronics and robotics

Artificial intelligence

Machine learning

Persistent link to this record
Citation

Mostafa, F; Dillon, T; Chang, E, Introduction, Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk, 2017, 697, pp. 1-7

Collections