Financial Economics, Risk and Information
Financial Economics, Risk and Information

Author: Marcelo Bianconi

Publisher: World Scientific

Published: 2011-08-23

Total Pages: 496

ISBN-13: 9814355135

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Financial Economics, Risk and Information presents the fundamentals of finance in static and dynamic frameworks with focus on risk and information. The objective of this book is to introduce undergraduate and first-year graduate students to the methods and solutions of the main problems in finance theory relating to the economics of uncertainty and information. The main goal of the second edition is to make the materials more accessible to a wider audience of students and finance professionals. The focus is on developing a core body of theory that will provide the student with a solid intellectual foundation for more advanced topics and methods. The new edition has streamlined chapters and topics, with new sections on portfolio choice under alternative information structures. The starting point is the traditional mean-variance approach, followed by portfolio choice from first principles. The topics are extended to alternative market structures, alternative contractual arrangements and agency, dynamic stochastic general equilibrium in discrete and continuous time, attitudes towards risk and towards inter-temporal substitution in discrete and continuous time; and option pricing. In general, the book presents a balanced introduction to the use of stochastic methods in discrete and continuous time in the field of financial economics.

The Economics of Risk and Time
The Economics of Risk and Time

Author: Christian Gollier

Publisher: MIT Press

Published: 2001

Total Pages: 492

ISBN-13: 9780262572248

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Updates and advances the theory of expected utility as applied to risk analysis and financial decision making.

Financial Economics, Risk And Information (2nd Edition)
Financial Economics, Risk And Information (2nd Edition)

Author: Marcelo Bianconi

Publisher: World Scientific Publishing Company

Published: 2011-11-29

Total Pages: 496

ISBN-13: 9814405124

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Financial Economics, Risk and Information presents the fundamentals of finance in static and dynamic frameworks with focus on risk and information. The objective of this book is to introduce undergraduate and first-year graduate students to the methods and solutions of the main problems in finance theory relating to the economics of uncertainty and information. The main goal of the second edition is to make the materials more accessible to a wider audience of students and finance professionals. The focus is on developing a core body of theory that will provide the student with a solid intellectual foundation for more advanced topics and methods. The new edition has streamlined chapters and topics, with new sections on portfolio choice under alternative information structures. The starting point is the traditional mean-variance approach, followed by portfolio choice from first principles. The topics are extended to alternative market structures, alternative contractual arrangements and agency, dynamic stochastic general equilibrium in discrete and continuous time, attitudes towards risk and towards inter-temporal substitution in discrete and continuous time; and option pricing. In general, the book presents a balanced introduction to the use of stochastic methods in discrete and continuous time in the field of financial economics.

Financial Economics
Financial Economics

Author: Chris Jones

Publisher: Routledge

Published: 2008-01-24

Total Pages: 496

ISBN-13: 1134185677

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Whilst many undergraduate finance textbooks are largely descriptive in nature, the economic analysis in most graduate texts is too advanced for latter year undergraduates. This book bridges the gap between these two extremes, offering a textbook that studies economic activity in financial markets, focusing on how consumers determine future consumpt

Foundations for Financial Economics
Foundations for Financial Economics

Author: Chi-fu Huang

Publisher:

Published: 1988

Total Pages: 394

ISBN-13:

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Based on formal derivations of financial theory, this volume provides a rigorous exploration of individual's consumption and portfolio decisions under uncertainty. Features in-depth coverage of such topics as: concepts of risk aversion and stochastic dominance; mathematical properties of a portfolio frontier; distributional conditions for mutual fund separation; capital asset pricing models and arbitrage pricing models; general pricing rules for securities that pay off in more than one state of nature; the pricing of options; rational expectation models of risky asset prices; signaling models; how multiperiod dynamic economies can be modeled; a multiperiod economy with emphasis on valuation by arbitrage; econometric issues associated with testing capital asset pricing models.

Handbook of the Economics of Risk and Uncertainty
Handbook of the Economics of Risk and Uncertainty

Author: Mark Machina

Publisher: Newnes

Published: 2013-11-14

Total Pages: 897

ISBN-13: 0444536868

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The need to understand the theories and applications of economic and finance risk has been clear to everyone since the financial crisis, and this collection of original essays proffers broad, high-level explanations of risk and uncertainty. The economics of risk and uncertainty is unlike most branches of economics in spanning from the individual decision-maker to the market (and indeed, social decisions), and ranging from purely theoretical analysis through individual experimentation, empirical analysis, and applied and policy decisions. It also has close and sometimes conflicting relationships with theoretical and applied statistics, and psychology. The aim of this volume is to provide an overview of diverse aspects of this field, ranging from classical and foundational work through current developments. - Presents coherent summaries of risk and uncertainty that inform major areas in economics and finance - Divides coverage between theoretical, empirical, and experimental findings - Makes the economics of risk and uncertainty accessible to scholars in fields outside economics

Financial Economics
Financial Economics

Author: Antonio Mele

Publisher:

Published: 2022

Total Pages:

ISBN-13: 9780262369411

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"Comprehensive overview of the current state of knowledge in financial economics, appropriate for graduate-level research"--

Principles of Financial Economics
Principles of Financial Economics

Author: Stephen F. LeRoy

Publisher: Cambridge University Press

Published: 2014-08-11

Total Pages: 371

ISBN-13: 131606087X

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This second edition provides a rigorous yet accessible graduate-level introduction to financial economics. Since students often find the link between financial economics and equilibrium theory hard to grasp, less attention is given to purely financial topics, such as valuation of derivatives, and more emphasis is placed on making the connection with equilibrium theory explicit and clear. This book also provides a detailed study of two-date models because almost all of the key ideas in financial economics can be developed in the two-date setting. Substantial discussions and examples are included to make the ideas readily understandable. Several chapters in this new edition have been reordered and revised to deal with portfolio restrictions sequentially and more clearly, and an extended discussion on portfolio choice and optimal allocation of risk is available. The most important additions are new chapters on infinite-time security markets, exploring, among other topics, the possibility of price bubbles.

Data Science for Economics and Finance
Data Science for Economics and Finance

Author: Sergio Consoli

Publisher: Springer Nature

Published: 2021

Total Pages: 357

ISBN-13: 3030668916

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This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.