Financial Market Design by an Agent-Based Model: 33 (Evolutionary Economics and Social Complexity Science, 33) - Image 1

£80.65

Springer Financial Market Design by an Agent-Based Model: 33 (Evolutionary Economics and Social Complexity Science, 33)

Name: Financial Market Design by an Agent-Based Model: 33 (Evolutionary Economics and Social Complexity Science, 33)
Brand: Springer
Price: 80.65 GBP
Availability: InStock

Microeconomics

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Description

This is the first book to focus on designing a financial market that works well, and that includes making and/or modulating detailed regulations and/or rules, by a computer simulation of an agent-based artificial financial market model (ABAFMM). The design of a financial market is very important for the development and maintenance of an advanced economy, but designing it is not easy because changes in detailed rules, even those that seem trivial, sometimes have unexpectedly large impacts and side effects in a financial market, which is a complex system. Traditional economics cannot treat a financial market as a complex system in which micro–macro interaction and feedback loops have played essential roles, because traditional economics can only treat macrophenomena and micro processes separately. ABAFMM can do it, however. This book explains, first, why ABAFMMs are needed to design financial markets and which models have good features. Following that explanation, the book discusses how to build the models. Then, cases of recent studies and their contributions are shown, and finally, the difficulties of researchers in this field are considered. This book is expected to facilitate the design of more ABAFMMs to contribute to creating financial markets that will further develop and maintain advanced economies.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 981961712X
Category: Books > Subjects > Business, Finance & Law > Economics > Microeconomics
Domain: Amazon UK
Release Date: 11 February 2025
Listed Since: 20 November 2024

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Springer Financial Market Design by an Agent-Based Model: 33 (Evolutionary Economics and Social Complexity Science, 33)

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