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).
General
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