Earnings Management, Fintech-Driven Incentives and Sustainable Growth - Nwogugu, Michael I. C.
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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…mehr

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Produktbeschreibung
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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Autorenporträt
Michael I. C. Nwogugu is an author, entrepreneur and consultant and has held senior corporate management and Board-of-Director positions in both the U.S. and Nigeria. Mr. Nwogugu wrote the following books: Risk In The Global Real Estate Market (WileyFinance); Illegal File-sharing Networks, Digital Goods Pricing And Decision Analysis (CRC Press); Anomalies In Net Present Value, Returns And Polynomials And Regret Theory In Decision Making (Palgrave MacMillan); Indices, Index Funds And ETFs: Exploring HCI, Nonlinear Risk And Homomorphisms (Palgrave MacMillan); and Complex Systems, Multi-sided Incentives And Risk Perception In Companies (Palgrave MacMillan). Mr. Nwogugu's research articles are cited in: International Journal of Approximate Reasoning; Applied Mathematics & Computation; Journal Of Business Research; European Journal of Operational Research; PNAS (USA); Physica-A; Annual Review of Psychology; Neural Computing & Applications; Europhysics Letters; Information Fusion; Mathematical Methods of Operations Research; Computers & Industrial Engineering; British Journal of Applied Science & Technology; American Journal of Applied Sciences; International Journal of Environment & Public Health; Journal of Experimental Psychology - Learning, Memory & Cognition; and Expert Systems With Applications among others. Mr. Nwogugu earned degrees from the University of Nigeria (Nigeria); CUNY (New York, USA); and Columbia University (New York City, USA).