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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.
6. Non-convexities and lotteries in general equilibrium. 6.1. Introduction. 6.2. A static decentralized competitive framework. 6.3. Competitive equilibrium. 6.4. Trade in lotteries. 6.5. Implications for the elasticity of labor supply. 6.6. Summary I. 6.7. General equilibrium approach to asymmetric information. 6.8. Basic structure, pareto optimality and decentralized competitive equilibrium. 6.9. An insurance problem with adverse selection. 6.10. Summary II. 6.11. Unemployment insurance, asset returns and adverse selection. 6.12. Basic structure. 6.13. Heterogeneity, efficiency, and market completeness. 6.14. Consequences for asset allocation. 6.15. Summary III -- 7. Dynamics I: discrete time. 7.1. Time and markets. 7.2. Introduction to financial contracts. 7.3. Summary I. 7.4. General equilibrium and asset pricing under uncertainty with complete markets. 7.5. General equilibrium under uncertainty: two equivalent approaches. 7.6. Pricing contingent claims in the two-period economy with complete markets. 7.7. Introduction to the multi-period economy. 7.8. Conditional and transitional probabilities, Markov processes, and conditional moments. 7.9. The multi-period economy again. 7.10. Asset prices in an infinite horizon exchange economy. 7.11. Excess returns. 7.12. Summary II. 7.13. Stochastic monetary theory. 7.14. Fisher equation and risk. 7.15. Summary III. 7.16. The financial problem of the firm in general equilibrium. 7.17. Summary IV. 7.18. Private information, stochastic growth and asset prices. 7.19. Recursive contracts, general equilibrium and asset prices. 7.20. Growth and asset prices with alternative arrangements. 7.21. Summary V -- 8. Dynamics II: continuous time. 8.1. Asset price dynamics, options and the Black-Scholes model. 8.2. Discrete time random walks. 8.3. A multiplicative model in discrete time and a preview of the lognormal random variable. 8.4. Introduction to random walk models of asset prices in continuous time. 8.5. A multiplicative model of asset prices in continuous time. 8.6. Introduction to Ito's lemma and the lognormal distribution again. 8.7. Ito's formula: the general case. 8.8. Asset price dynamics and risk. 8.9. Options. 8.10. The Black-Scholes partial differential equation. 8.11. The Black-Scholes formula for a European call option. 8.12. Summary I. 8.13. Introduction to equilibrium stochastic models. 8.14. Consumption growth and portfolio choice with logarithmic utility. 8.15. Consumption growth and portfolio choice with CRRA utility. 8.16. Capital accumulation and asset returns. 8.17. Risk aversion and intertemporal substitution. 8.18. Summary II
Updates and advances the theory of expected utility as applied to risk analysis and financial decision making.
Numerous examples and diagrams illustrate the key arguments, and the main chapters are followed by guides to the relevant literature and exercises for students.
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.
A presentation of classical asset pricing theory, this textbook is the only one to address the economic foundations of financial markets theory from a mathematically rigorous standpoint and to offer a self-contained critical discussion based on empirical results. Tools for understanding the economic analysis are provided, and mathematical models are presented in discrete time/finite state space for simplicity. Examples and exercises included.
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.
Arbitrage, State Prices and Portfolio Theory / Philip h. Dybvig and Stephen a. Ross / - Intertemporal Asset Pricing Theory / Darrell Duffle / - Tests of Multifactor Pricing Models, Volatility Bounds and Portfolio Performance / Wayne E. Ferson / - Consumption-Based Asset Pricing / John y Campbell / - The Equity Premium in Retrospect / Rainish Mehra and Edward c. Prescott / - Anomalies and Market Efficiency / William Schwert / - Are Financial Assets Priced Locally or Globally? / G. Andrew Karolyi and Rene M. Stuli / - Microstructure and Asset Pricing / David Easley and Maureen O'hara / - A Survey of Behavioral Finance / Nicholas Barberis and Richard Thaler / - Derivatives / Robert E. Whaley / - Fixed-Income Pricing / Qiang Dai and Kenneth J. Singleton.
In the last 20 years there has been a revolution in the way financial economists understand the financial market place. The announcement that the 1990 Nobel prize for Economics had been awarded to three financial economists acknowledged that financial economics is now a subject in its own right and needs to be studied as such. Financial Economics brings this science out of the realms of academia and into the hands of those that can most use it. This fusion of economics, finance and statistics now enables investors to gain a true understanding of how the markets behave and how to perfect their trading strategies. The book demystifies financial economics in a manner that will provide you with a thorough understanding that can be immediately put into practice without overwhelming you with the trivial. It looks at what exactly financial economics is, its founding fathers and their theories, its role in the valuation of financial assets and recent developments in the field. Chapters within the book also investigate more closely modern portfolio theory, capital market theory, behavioural finance, bubbleology, some puzzles in financial markets and the relationship between derivatives markets and financial economics. Financial Economics is essential reading for dealers, analysts, newcomers to the financial markets, and finance professionals across the board who need to maintain their edge at the forefront of developments in financial markets.