Nicholas L. Georgakopoulos – författare

This is an introductory book that targets the reader who has the ambition to apply economic analysis but may be missing a technical introduction to its mathematical techniques or seeks a structured elaboration of its philosophical principles. The book juxtaposes economic analysis with moral philosophy, political theory, egalitarianism, and other methodological principles and then passes to the details of methods such as model-building, derivatives, differential equations, statistical tests, and the use of computer programs.

This is an introductory book that targets the reader who has the ambition to apply economic analysis but may be missing a technical introduction to its mathematical techniques or seeks a structured elaboration of its philosophical principles. The book juxtaposes economic analysis with moral philosophy, political theory, egalitarianism, and other methodological principles and then passes to the details of methods such as model-building, derivatives, differential equations, statistical tests, and the use of computer programs.

This book opens with a simple introduction to financial markets, attempting to understand the action and the players of Wall Street by comparing them to the action and the players of main street. Firstly, it explores the definition of a security by its function, the departure from the buyer beware environment of corporate law and the entrance into the seller disclose environment of securities law. Secondly, it shows that the cost of disclosure rules is justified by their capacity to combat irrationalities, fads, and panics. The third section explains how the structure of class actions is designed to improve deterrence. Next it explores the economic harm from insider trading and how the law fights it. In sum, the book shows how all these parts of securities law serve the virtuous cycle from liquidity to accurate prices and more trading and how the great recession showed that our securities regulation reacted mostly adequately to the crisis.

This book opens with a simple introduction to financial markets, attempting to understand the action and the players of Wall Street by comparing them to the action and the players of main street. Firstly, it explores the definition of a security by its function, the departure from the buyer beware environment of corporate law and the entrance into the seller disclose environment of securities law. Secondly, it shows that the cost of disclosure rules is justified by their capacity to combat irrationalities, fads, and panics. The third section explains how the structure of class actions is designed to improve deterrence. Next it explores the economic harm from insider trading and how the law fights it. In sum, the book shows how all these parts of securities law serve the virtuous cycle from liquidity to accurate prices and more trading and how the great recession showed that our securities regulation reacted mostly adequately to the crisis.

Students in various disciplines—from law and government to business and health policy—need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory.

Students in various disciplines—from law and government to business and health policy—need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory.