Fractal Approaches for Modeling Financial Assets and Predicting Crises

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.

Riassunto

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 aimed at academics, researchers, and students seeking current research on pricing and predicting financial crises.

Dettagli sul prodotto

• Con la collaborazione di: Bryan Christiansen (Editore), Oxana Karnaukhova (Editore), Inna Nekrasova (Editore)
• Editore: Business Science Reference
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 28.02.2018
• EAN: 9781522537670
• ISBN: 978-1-5225-3767-0
• Pagine: 332
• Dimensioni: 221 mm x 286 mm x 22 mm
• Peso: 1097 g
• Categoria: Scienze sociali, diritto, economia > Economia > Economia politica