Latest Edition: Lectures on Corporate Finance (2nd Edition)This course of lectures — developed and taught at the Yale School of Management and the California Institute of Technology — introduces students to elementary concepts of corporate finance using a more systematic approach than is generally found in other textbooks.Within a simple logical framework, axioms are first highlighted and the implications of these important concepts are studied. These implications are used to answer questions about corporate finance, including issues related to derivatives pricing, state price probabilities, dynamic hedging, dividends, capital structure decisions, and risk and incentive management. Numerical examples are provided, and the mathematics is kept simple throughout.The book complements standard texts on the subject and will be invaluable for upper level undergraduate and graduate students, as well as MBA students.
This course of lectures introduces students to elementary concepts of corporate finance using a more systematic approach than is generally found in other textbooks.Axioms are first highlighted and the implications of these important concepts are studied afterwards. These implications are used to answer questions about corporate finance, including issues related to derivatives pricing, state-price probabilities, dynamic hedging, dividends, capital structure decisions, and risk and incentive management. Numerical examples are provided, and the mathematics is kept simple throughout.In this second edition, explanations have been improved, based on the authors' experience teaching the material, especially concerning the scope of state-price probabilities in Chapter 12. There is also a new Chapter 22: Fourteen Insights./a
Asset pricing theory abounds with elegant mathematical models. The logic is so compelling that the models are widely used in policy, from banking, investments, and corporate finance to government. To what extent, however, can these models predict what actually happens in financial markets? In The Paradox of Asset Pricing, a leading financial researcher argues forcefully that the empirical record is weak at best. Peter Bossaerts undertakes the most thorough, technically sound investigation in many years into the scientific character of the pricing of financial assets. He probes this conundrum by modeling a decidedly volatile phenomenon that, he says, the world of finance has forgotten in its enthusiasm for the efficient markets hypothesis--speculation. Bossaerts writes that the existing empirical evidence may be tainted by the assumptions needed to make sense of historical field data or by reanalysis of the same data. To address the first problem, he demonstrates that one central assumption--that markets are efficient processors of information, that risk is a knowable quantity, and so on--can be relaxed substantially while retaining core elements of the existing methodology. The new approach brings novel insights to old data. As for the second problem, he proposes that asset pricing theory be studied through experiments in which subjects trade purposely designed assets for real money. This book will be welcomed by finance scholars and all those math--and statistics-minded readers interested in knowing whether there is science beyond the mathematics of finance. This book provided the foundation for subsequent journal articles that won two prestigious awards: the 2003 Journal of Financial Markets Best Paper Award and the 2004 Goldman Sachs Asset Management Best Research Paper for the Review of Finance.
As technology has opened new windows into the brain, it has clarified what happens there when people make decisions about money. This clarity has produced a new science called neuroeconomics, which addresses diverse questions, such as why people save, buy stocks, steal, and overspend. The many different methods used in neuroeconomics have, however, often yielded unclear findings about the quality of these decisions, primarily because the field has lacked both guidelines for categorizing the different aspects of quality, and guidelines for selecting methods to study these aspects. Before this book, in which Peter Politser guides the reader through the different regions of study, there was no scientific guide for those interested in neuroeconomics. Politser shows how to evaluate specific elements of choice, such as regret, expectation, risk, ambiguity, time preference, and learning, and surveys economic and behavioral models of decision making skills. He reviews the neural correlates of decisional impairments and inconsistenciesclarifying, for example, why we do not recall what we experience, experience what we expect, or like what we want, and provides detailed tables of decision-making skills, their neural correlates, and possible impairments. Politser also considers what the field of neuroeconomics may add to future conceptions of decision making, and outlines the limitations of various studies of different capacities. He then introduces a broader field for the design and interpretation of neuroeconomic studiesa neuroepidemiology of decision making. Everyone who wants to understand the research in neuroeconomics or use its methods should read this book. Its accessible text, along with an extensive glossary, will guide those with little economic or neuroscience background, and make the book an excellent supplement for courses on neuroscience and decision making.
Our species is misnamed. Though sapiens defines human beings as "wise" what humans do especially well is to prospect the future. We are homo prospectus. In this book, Martin E. P. Seligman, Peter Railton, Roy F. Baumeister, and Chandra Sripada argue it is anticipating and evaluating future possibilities for the guidance of thought and action that is the cornerstone of human success. Much of the history of psychology has been dominated by a framework in which people's behavior is driven by past history (memory) and present circumstances (perception and motivation). Homo Prospectus reassesses this idea, pushing focus to the future front and center and opening discussion of a new field of Psychology and Neuroscience. The authors delve into four modes in which prospection operates: the implicit mind, deliberate thought, mind-wandering, and collective (social) imagination. They then explore prospection's role in some of life's most enduring questions: Why do people think about the future? Do we have free will? What is the nature of intuition, and how might it function in ethics? How does emotion function in human psychology? Is there a common causal process in different psychopathologies? Does our creativity change with age? In this remarkable convergence of research in philosophy, statistics, decision theory, psychology, and neuroscience, Homo Prospectus shows how human prospection fundamentally reshapes our understanding of key cognitive processes, thereby improving individual and social functioning. It aims to galvanize interest in this new science from scholars in psychology, neuroscience, and philosophy, as well as an educated public curious about what makes humanity what it is.
Written by Lars Peter Hansen (Nobel Laureate in Economics, 2013) and Thomas Sargent (Nobel Laureate in Economics, 2011), Uncertainty within Economic Models includes articles adapting and applying robust control theory to problems in economics and finance. This book extends rational expectations models by including agents who doubt their models and adopt precautionary decisions designed to protect themselves from adverse consequences of model misspecification. This behavior has consequences for what are ordinarily interpreted as market prices of risk, but big parts of which should actually be interpreted as market prices of model uncertainty. The chapters discuss ways of calibrating agents' fears of model misspecification in quantitative contexts.
This book shows how information systems (IS) scholars can effectively apply neuroscience expertise in ways that do not require neuroscience tools. However, the approach described here is intended to complement neuroscience tools, not to supplant them. Written by leading scholars in the field, it presents a review of the empirical literature on NeuroIS and provides a conceptual description of basic brain function from a cognitive neuroscience perspective. Drawing upon the cognitive neuroscience knowledge developed in non-IS contexts, the book enables IS scholars to reinterpret existing behavioral findings, develop new hypotheses and eventually test the hypotheses with non-neuroscience tools. At its core, the book conveys how neuroscience knowledge makes a deeper understanding of IS phenomena possible by connecting the behavioral and neural levels of analysis.
This course of lectures introduces students to elementary concepts of corporate finance using a more systematic approach than is generally found in other textbooks.Axioms are first highlighted and the implications of these important concepts are studied afterwards. These implications are used to answer questions about corporate finance, including issues related to derivatives pricing, state-price probabilities, dynamic hedging, dividends, capital structure decisions, and risk and incentive management. Numerical examples are provided, and the mathematics is kept simple throughout.In this second edition, explanations have been improved, based on the authors' experience teaching the material, especially concerning the scope of state-price probabilities in Chapter 12. There is also a new Chapter 22: Fourteen Insights./a
Asset pricing theory abounds with elegant mathematical models. The logic is so compelling that the models are widely used in policy, from banking, investments, and corporate finance to government. To what extent, however, can these models predict what actually happens in financial markets? In The Paradox of Asset Pricing, a leading financial researcher argues forcefully that the empirical record is weak at best. Peter Bossaerts undertakes the most thorough, technically sound investigation in many years into the scientific character of the pricing of financial assets. He probes this conundrum by modeling a decidedly volatile phenomenon that, he says, the world of finance has forgotten in its enthusiasm for the efficient markets hypothesis--speculation. Bossaerts writes that the existing empirical evidence may be tainted by the assumptions needed to make sense of historical field data or by reanalysis of the same data. To address the first problem, he demonstrates that one central assumption--that markets are efficient processors of information, that risk is a knowable quantity, and so on--can be relaxed substantially while retaining core elements of the existing methodology. The new approach brings novel insights to old data. As for the second problem, he proposes that asset pricing theory be studied through experiments in which subjects trade purposely designed assets for real money. This book will be welcomed by finance scholars and all those math--and statistics-minded readers interested in knowing whether there is science beyond the mathematics of finance. This book provided the foundation for subsequent journal articles that won two prestigious awards: the 2003 Journal of Financial Markets Best Paper Award and the 2004 Goldman Sachs Asset Management Best Research Paper for the Review of Finance.
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