Fractal Approaches for Modeling Financial Assets and Predicting Crises

Business & Finance, Finance & Investing, Finance, Economics
Cover of the book Fractal Approaches for Modeling Financial Assets and Predicting Crises by , IGI Global
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Author: ISBN: 9781522537694
Publisher: IGI Global Publication: February 9, 2018
Imprint: Business Science Reference Language: English
Author:
ISBN: 9781522537694
Publisher: IGI Global
Publication: February 9, 2018
Imprint: Business Science Reference
Language: English

In an ever-changing economy, market specialists strive to find new ways to evaluate the risks and potential reward of economic ventures. They start by assessing the importance of human reaction during the economic planning process and put together systems to measure financial markets and their longevity. Fractal Approaches for Modeling Financial Assets and Predicting Crises is a critical scholarly resource that examines the fractal structure and long-term memory of the financial markets in order to predict prices of financial assets and financial crises. Featuring coverage on a broad range of topics, such as computational process models, chaos theory, and game theory, this book is geared towards academicians, researchers, and students seeking current research on pricing and predicting financial crises.

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In an ever-changing economy, market specialists strive to find new ways to evaluate the risks and potential reward of economic ventures. They start by assessing the importance of human reaction during the economic planning process and put together systems to measure financial markets and their longevity. Fractal Approaches for Modeling Financial Assets and Predicting Crises is a critical scholarly resource that examines the fractal structure and long-term memory of the financial markets in order to predict prices of financial assets and financial crises. Featuring coverage on a broad range of topics, such as computational process models, chaos theory, and game theory, this book is geared towards academicians, researchers, and students seeking current research on pricing and predicting financial crises.

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