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.

This book provides readers with essential concepts from financial economics for an integrated study of the financial system and the real economy. It discusses how long-term market prices are determined and affected by population growth, technological progress and non-renewable resources. The meaning of market prices is examined from the perspective of households and from the perspective of firms. The book therefore connects different fields of finance, which usually focus only on either the households’ side or the firms’ side.

Graduate from Excel to MATLAB® to keep up with the evolution of finance data Foundations of Computational Finance with MATLAB® is an introductory text for both finance professionals looking to branch out from the spreadsheet, and for programmers who wish to learn more about finance. As financial data grows in volume and complexity, its very nature has changed to the extent that traditional financial calculators and spreadsheet programs are simply no longer enough. Today’s analysts need more powerful data solutions with more customization and visualization capabilities, and MATLAB provides all of this and more in an easy-to-learn skillset. This book walks you through the basics, and then shows you how to stretch your new skills to create customized solutions. Part I demonstrates MATLAB’s capabilities as they apply to traditional finance concepts, and PART II shows you how to create interactive and reusable code, link with external data sources, communicate graphically, and more. Master MATLAB’s basic operations including matrices, arrays, and flexible data structures Learn how to build your own customized solutions when the built-ins just won’t do Learn how to handle financial data and industry-specific variables including risk and uncertainty Adopt more accurate modeling practices for portfolios, options, time series, and more MATLAB is an integrated development environment that includes everything you need in one well-designed user interface. Available Toolboxes provide tested algorithms that save you hours of code, and the skills you learn using MATLAB make it easier to learn additional languages if you choose to do so. Financial firms are catching up to universities in MATLAB usage, so this is skill set that will follow you throughout your career. When you’re ready to step into the new age of finance, Foundations of Computational Finance with MATLAB provides the expert instruction you need to get started quickly.

A thoroughly revised and updated edition of a textbook for graduate students in finance, with new coverage of global financial institutions. This thoroughly revised and updated edition of a widely used textbook for graduate students in finance now provides expanded coverage of global financial institutions, with detailed comparisons of U.S. systems with non-U.S. systems. A focus on the actual practices of financial institutions prepares students for real-world problems. After an introduction to financial markets and market participants, including asset management firms, credit rating agencies, and investment banking firms, the book covers risks and asset pricing, with a new overview of risk; the structure of interest rates and interest rate and credit risks; the fundamentals of primary and secondary markets; government debt markets, with new material on non-U.S. sovereign debt markets; corporate funding markets, with new coverage of small and medium enterprises and entrepreneurial ventures; residential and commercial real estate markets; collective investment vehicles, in a chapter new to this edition; and financial derivatives, including financial futures and options, interest rate derivatives, foreign exchange derivatives, and credit risk transfer vehicles such as credit default swaps. Each chapter begins with learning objectives and ends with bullet point takeaways and questions.

This custom edition is specifically published for Australian National University.