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Methods and Finance A Unifying View on Finance Mathematics and Philosophy 1st edition by Emiliano Ippoliti, Ping Chen ISBN 9783319498720 331949872X

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ISBN 10: 331949872X
ISBN 13: 9783319498720
Author:  Emiliano Ippoliti, Ping Chen

The book offers an interdisciplinary perspective on finance, with a special focus on stock markets. It presents new methodologies for analyzing stock markets’ behavior and discusses theories and methods of finance from different angles, such as the mathematical, physical and philosophical ones. The book, which aims at philosophers and economists alike, represents a rare yet important attempt to unify the externalist with the internalist conceptions of finance.

Table of contents:

The View from Outside

  1. Methods and Finance: A View from Outside

    • Overview of modeling, data interpretation, prediction issues.

  2. Mathematical Representation in Economics and Finance

    • Examines equilibrium models, social behavior, cycles, and crisis diagnosis.

  3. Agent Reflexivity in Financial Market Microstructure

    • Role of reflexivity, market impact, and memory in price formation.

  4. Physicist’s Perspective on Financial Markets

    • A scientific look at market behavior and dynamics.

  5. Research Habits in Financial Modeling

    • Examines market return anomalies and the limitations of standard models.

  6. Super-Exponential Bubbles and Expectations

    • Analysis of bubbles through agent-based models, simulation results, and market evidence.

The View from Inside

  1. Methods and Finance: A View from Inside

    • Market regulation, data perspective, performativity in finance.

  2. Contemporary Finance as a Cognitive Niche

    • Cognition in finance, niches in high-tech finance, crises and unpredictability.

  3. The Sciences of Finance

    • Overviews various fields (behavioral finance, econophysics) and their values.

  4. Quantification Machines and Artificial Agents in Finance

    • History of financial technology, ethical concerns, and algorithmic responsibility.

  5. Dark Data in Finance

    • Issues with data construction, processing, and “dark data” impact.

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