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Mathematical methods for economics and finance/ Hope Bradley ed.

Contributor(s): Publication details: New York : Clanrye International, 2023Description: vi ,240 pages; Charts; 28.5cmISBN:
  • 9781647266660
Subject(s): DDC classification:
  • 23rd  330.0151 B811
Contents:
On History Of Mathematical Economics: Application of Fractional Calculus -- A Deep Neural Network Algorithm for Semilinear Elliptic PDEs with Application in Insurance Mathematics -- Alogorithmic Foundation of Economic and Mathematical Modeling of Network Logistics Processes -- Macroeconomoic Shocks and Changing Dynamics of the U.S.REITs Sector -- The Impact of Market Condition and policy Change on the Sustainability of of IOantra-Industry Information Diffusion -- Organizational Climate and work Style : The Missing Links for Sustainability of Leadership and Satisfied Employees -- Does Herding Bias Drive the Firm Value? Evidence from the Chines Equity Market -- An Event Study Analysis of Political Events, Disasters and Accidents for Tourists -- A Sustainability-Oriented Enhanced Indexation Model with Regime Switching and Cardinality Constraint --
Summary: Mathematical finance refers to a branch of applied mathematics that deals with mathematical modeling of financial markets and problems. It is an emerging field that aims to apply mathematical formulas and modeling for creating financial resource values and pricing structures. The disciplines of financial engineering and computational finance are heavily interlinked with mathematical finance. Mathematical economics is the use of mathematical techniques for representing theories and examining issues related to economics. It employs mathematical principles and instruments for developing economic ideas and examines economic quandaries. Mathematics enables the formulation of meaningful, testable hypotheses about broad and complex topics that would be difficult to express informally. Furthermore, it enables the formation of positive and particular claims associated with debatable topics that are otherwise unattainable without the use of mathematics. This book aims to shed light on the applications of mathematical methods for finance and economics. It is a resource guide for experts as well as students.
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Includes index

On History Of Mathematical Economics: Application of Fractional Calculus -- A Deep Neural Network Algorithm for Semilinear Elliptic PDEs with Application in Insurance Mathematics -- Alogorithmic Foundation of Economic and Mathematical Modeling of Network Logistics Processes -- Macroeconomoic Shocks and Changing Dynamics of the U.S.REITs Sector -- The Impact of Market Condition and policy Change on the Sustainability of of IOantra-Industry Information Diffusion -- Organizational Climate and work Style : The Missing Links for Sustainability of Leadership and Satisfied Employees -- Does Herding Bias Drive the Firm Value? Evidence from the Chines Equity Market -- An Event Study Analysis of Political Events, Disasters and Accidents for Tourists -- A Sustainability-Oriented Enhanced Indexation Model with Regime Switching and Cardinality Constraint --

Mathematical finance refers to a branch of applied mathematics that deals with mathematical modeling of financial markets and problems. It is an emerging field that aims to apply mathematical formulas and modeling for creating financial resource values and pricing structures. The disciplines of financial engineering and computational finance are heavily interlinked with mathematical finance. Mathematical economics is the use of mathematical techniques for representing theories and examining issues related to economics. It employs mathematical principles and instruments for developing economic ideas and examines economic quandaries. Mathematics enables the formulation of meaningful, testable hypotheses about broad and complex topics that would be difficult to express informally. Furthermore, it enables the formation of positive and particular claims associated with debatable topics that are otherwise unattainable without the use of mathematics. This book aims to shed light on the applications of mathematical methods for finance and economics. It is a resource guide for experts as well as students.

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