Analytical Modeling and Empirical Analysis of Binary Options Strategies

Gurdal Ertek; Aysha Al-Kaabi; Aktham Issa AlMaghaireh

doi:10.3390/fi14070208

Analytical Modeling and Empirical Analysis of Binary Options Strategies

Gurdal Ertek, Aysha Al-Kaabi, Aktham Issa AlMaghaireh

Research output: Contribution to journal › Article › peer-review

Abstract

This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivative. The investor receives only partial returns if the prediction is correct but loses all the investment otherwise. Mainstream research on binary options aims to develop the best dynamic trading strategies. This study focuses on static tactical easy-to-implement strategies and investigates the performance of such strategies in relation to prediction accuracy, payout percentage, and investment strategy decisions.

Original language	English
Article number	208
Journal	Future Internet
Volume	14
Issue number	7
DOIs	https://doi.org/10.3390/fi14070208
Publication status	Published - Jul 2022

Keywords

big data
binary options
knowledge discovery
Monte Carlo simulation
visual analytics

ASJC Scopus subject areas

Computer Networks and Communications

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10.3390/fi14070208

Cite this

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abstract = "This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivative. The investor receives only partial returns if the prediction is correct but loses all the investment otherwise. Mainstream research on binary options aims to develop the best dynamic trading strategies. This study focuses on static tactical easy-to-implement strategies and investigates the performance of such strategies in relation to prediction accuracy, payout percentage, and investment strategy decisions.",

keywords = "big data, binary options, knowledge discovery, Monte Carlo simulation, visual analytics",

author = "Gurdal Ertek and Aysha Al-Kaabi and AlMaghaireh, {Aktham Issa}",

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N2 - This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivative. The investor receives only partial returns if the prediction is correct but loses all the investment otherwise. Mainstream research on binary options aims to develop the best dynamic trading strategies. This study focuses on static tactical easy-to-implement strategies and investigates the performance of such strategies in relation to prediction accuracy, payout percentage, and investment strategy decisions.

AB - This study analyzes binary option investment strategies by developing mathematical formalism and formulating analytical models. The binary outcome of binary options represents either an increase or a decrease in a parameter, typically an asset or derivative. The investor receives only partial returns if the prediction is correct but loses all the investment otherwise. Mainstream research on binary options aims to develop the best dynamic trading strategies. This study focuses on static tactical easy-to-implement strategies and investigates the performance of such strategies in relation to prediction accuracy, payout percentage, and investment strategy decisions.

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Analytical Modeling and Empirical Analysis of Binary Options Strategies

Abstract

Keywords

ASJC Scopus subject areas

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