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Earnings Management, Fintech-Driven Incentives and Sustainable Growth (Record no. 831)

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000 -LEADER
fixed length control field 03151 a2200409 4500
001 - CONTROL NUMBER
control field 1032085770
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317100357.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042021GB eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032085777
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 39.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
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Subject category code BUS079000
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Subject category code 658.155
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Michael I. C. Nwogugu
245 10 - TITLE STATEMENT
Title Earnings Management, Fintech-Driven Incentives and Sustainable Growth
Remainder of title On Complex Systems, Legal and Mechanism Design Factors
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Oxford
Name of publisher, distributor, etc. Routledge
Date of publication, distribution, etc. 20210630
300 ## - PHYSICAL DESCRIPTION
Extent 450 p
520 ## - SUMMARY, ETC.
Expansion of summary note Traditional research about Financial Stability and Sustainable Growth typically omits Earnings Management (as a broad class of misconduct), Complex Systems Theory, Mechanism Design Theory, Public Health, psychology issues, and the externalities and psychological effects of Fintech. Inequality, Environmental Pollution, Earnings Management opportunities, the varieties of complex Financial Instruments, Fintech, Regulatory Fragmentation, Regulatory Capture and real-financial sector-linkages are growing around the world, and these factors can have symbiotic relationships. Within Complex System theory framework, this book analyzes these foregoing issues, and introduces new behaviour theories, Enforcement Dichotomies, and critiques of models, regulations and theories in several dimensions. The issues analyzed can affect markets, and evolutions of systems, decision-making, "nternal Markets and risk-perception within government regulators, operating companies and investment entities, and thus they have Public Policy implications. The legal analysis uses applicable US case-law and statutes (which have been copied by many countries, and are similar to those of many common-law countries). Using Qualitative Reasoning, Capital Dynamics Theory (a new approach introduced in this book), Critical Theory and elements of Mechanism Design Theory, the book aims to enhance cross-disciplinary analysis of the above-mentioned issues; and to help researchers build better systems/Artificial-Intelligence/mathematical models in Financial Stability, Portfolio Management, Policy-Analysis, Asset Pricing, Contract Theory, Enforcement Theory and Fraud Detection. The primary audience for this book consists of university Professors, PHD students and PHD degree-holders (in industries, government agencies, financial services companies and research institutes). The book can be used as a primary or supplementary textbook for graduate courses in Regulation; Capital Markets; Law & Economics, International Political Economy and or Mechanism Design (Applied Math, Operations Research, Computer Science or Finance).

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