Forecasting Price Direction, Hedging and Spread Options in Oil Volatility

Eboka Andrew Okonji; Yerokun Oluwatoyin Mary

doi:doi:10.11648/j.ijebo.20170506.11

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Forecasting Price Direction, Hedging and Spread Options in Oil Volatility

Eboka Andrew Okonji, Yerokun Oluwatoyin Mary

Published in International Journal of Economic Behavior and Organization (Volume 5, Issue 6)

Received: 5 April 2017 Accepted: 8 October 2017 Published: 8 November 2017

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Abstract

The energy market aims to manage risks associated with prices and volatility of the asset. It is a capital intensive market, rippled with a range of chaotic, complex and dynamic interaction among its supply and demand derivatives. Models help users forecast such interactions, to provide investors with empirical evidence of the price direction. Evolutionary modeling is an art, whose science seeks to analyze input data and yield an optimal, complete solution for which conventional methods yield a corresponding, non-cost effective solution. Its solutions are tractable, robust and low-cost with a tolerance of ambiguity, uncertainty and noise as applied to its input. Our study aims to predict the OPEC Oil market with data collected over the period.

Published in	International Journal of Economic Behavior and Organization (Volume 5, Issue 6)
DOI	10.11648/j.ijebo.20170506.11
Page(s)	114-123
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Energy, OPEC, Stochastic, Evolutionary Model, Price Direction, Volatility

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APA Style

Eboka Andrew Okonji, Yerokun Oluwatoyin Mary. (2017). Forecasting Price Direction, Hedging and Spread Options in Oil Volatility. International Journal of Economic Behavior and Organization, 5(6), 114-123. https://doi.org/10.11648/j.ijebo.20170506.11

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ACS Style

Eboka Andrew Okonji; Yerokun Oluwatoyin Mary. Forecasting Price Direction, Hedging and Spread Options in Oil Volatility. Int. J. Econ. Behav. Organ. 2017, 5(6), 114-123. doi: 10.11648/j.ijebo.20170506.11

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AMA Style

Eboka Andrew Okonji, Yerokun Oluwatoyin Mary. Forecasting Price Direction, Hedging and Spread Options in Oil Volatility. Int J Econ Behav Organ. 2017;5(6):114-123. doi: 10.11648/j.ijebo.20170506.11

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@article{10.11648/j.ijebo.20170506.11,
  author = {Eboka Andrew Okonji and Yerokun Oluwatoyin Mary},
  title = {Forecasting Price Direction, Hedging and Spread Options in Oil Volatility},
  journal = {International Journal of Economic Behavior and Organization},
  volume = {5},
  number = {6},
  pages = {114-123},
  doi = {10.11648/j.ijebo.20170506.11},
  url = {https://doi.org/10.11648/j.ijebo.20170506.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.20170506.11},
  abstract = {The energy market aims to manage risks associated with prices and volatility of the asset. It is a capital intensive market, rippled with a range of chaotic, complex and dynamic interaction among its supply and demand derivatives. Models help users forecast such interactions, to provide investors with empirical evidence of the price direction. Evolutionary modeling is an art, whose science seeks to analyze input data and yield an optimal, complete solution for which conventional methods yield a corresponding, non-cost effective solution. Its solutions are tractable, robust and low-cost with a tolerance of ambiguity, uncertainty and noise as applied to its input. Our study aims to predict the OPEC Oil market with data collected over the period.},
 year = {2017}
}

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TY  - JOUR
T1  - Forecasting Price Direction, Hedging and Spread Options in Oil Volatility
AU  - Eboka Andrew Okonji
AU  - Yerokun Oluwatoyin Mary
Y1  - 2017/11/08
PY  - 2017
N1  - https://doi.org/10.11648/j.ijebo.20170506.11
DO  - 10.11648/j.ijebo.20170506.11
T2  - International Journal of Economic Behavior and Organization
JF  - International Journal of Economic Behavior and Organization
JO  - International Journal of Economic Behavior and Organization
SP  - 114
EP  - 123
PB  - Science Publishing Group
SN  - 2328-7616
UR  - https://doi.org/10.11648/j.ijebo.20170506.11
AB  - The energy market aims to manage risks associated with prices and volatility of the asset. It is a capital intensive market, rippled with a range of chaotic, complex and dynamic interaction among its supply and demand derivatives. Models help users forecast such interactions, to provide investors with empirical evidence of the price direction. Evolutionary modeling is an art, whose science seeks to analyze input data and yield an optimal, complete solution for which conventional methods yield a corresponding, non-cost effective solution. Its solutions are tractable, robust and low-cost with a tolerance of ambiguity, uncertainty and noise as applied to its input. Our study aims to predict the OPEC Oil market with data collected over the period.
VL  - 5
IS  - 6
ER  -

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Author Information

Eboka Andrew Okonji

Department of Computer Education, Federal College of Education Technical, Asaba, Nigeria
Yerokun Oluwatoyin Mary

Department of Computer Education, Federal College of Education Technical, Asaba, Nigeria

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APA Style

Eboka Andrew Okonji, Yerokun Oluwatoyin Mary. (2017). Forecasting Price Direction, Hedging and Spread Options in Oil Volatility. International Journal of Economic Behavior and Organization, 5(6), 114-123. https://doi.org/10.11648/j.ijebo.20170506.11

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ACS Style

Eboka Andrew Okonji; Yerokun Oluwatoyin Mary. Forecasting Price Direction, Hedging and Spread Options in Oil Volatility. Int. J. Econ. Behav. Organ. 2017, 5(6), 114-123. doi: 10.11648/j.ijebo.20170506.11

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AMA Style

Eboka Andrew Okonji, Yerokun Oluwatoyin Mary. Forecasting Price Direction, Hedging and Spread Options in Oil Volatility. Int J Econ Behav Organ. 2017;5(6):114-123. doi: 10.11648/j.ijebo.20170506.11

Copy | Download

@article{10.11648/j.ijebo.20170506.11,
  author = {Eboka Andrew Okonji and Yerokun Oluwatoyin Mary},
  title = {Forecasting Price Direction, Hedging and Spread Options in Oil Volatility},
  journal = {International Journal of Economic Behavior and Organization},
  volume = {5},
  number = {6},
  pages = {114-123},
  doi = {10.11648/j.ijebo.20170506.11},
  url = {https://doi.org/10.11648/j.ijebo.20170506.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.20170506.11},
  abstract = {The energy market aims to manage risks associated with prices and volatility of the asset. It is a capital intensive market, rippled with a range of chaotic, complex and dynamic interaction among its supply and demand derivatives. Models help users forecast such interactions, to provide investors with empirical evidence of the price direction. Evolutionary modeling is an art, whose science seeks to analyze input data and yield an optimal, complete solution for which conventional methods yield a corresponding, non-cost effective solution. Its solutions are tractable, robust and low-cost with a tolerance of ambiguity, uncertainty and noise as applied to its input. Our study aims to predict the OPEC Oil market with data collected over the period.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Forecasting Price Direction, Hedging and Spread Options in Oil Volatility
AU  - Eboka Andrew Okonji
AU  - Yerokun Oluwatoyin Mary
Y1  - 2017/11/08
PY  - 2017
N1  - https://doi.org/10.11648/j.ijebo.20170506.11
DO  - 10.11648/j.ijebo.20170506.11
T2  - International Journal of Economic Behavior and Organization
JF  - International Journal of Economic Behavior and Organization
JO  - International Journal of Economic Behavior and Organization
SP  - 114
EP  - 123
PB  - Science Publishing Group
SN  - 2328-7616
UR  - https://doi.org/10.11648/j.ijebo.20170506.11
AB  - The energy market aims to manage risks associated with prices and volatility of the asset. It is a capital intensive market, rippled with a range of chaotic, complex and dynamic interaction among its supply and demand derivatives. Models help users forecast such interactions, to provide investors with empirical evidence of the price direction. Evolutionary modeling is an art, whose science seeks to analyze input data and yield an optimal, complete solution for which conventional methods yield a corresponding, non-cost effective solution. Its solutions are tractable, robust and low-cost with a tolerance of ambiguity, uncertainty and noise as applied to its input. Our study aims to predict the OPEC Oil market with data collected over the period.
VL  - 5
IS  - 6
ER  -

Copy | Download