Microfoundations of Financial Economics Microfoundations of Financial Economics

Total Page:16

File Type:pdf, Size:1020Kb

Microfoundations of Financial Economics Microfoundations of Financial Economics Microfoundations of Financial Economics Microfoundations of Financial Economics An Introduction to General Equilibrium Asset Pricing Yvan Lengwiler To Brigitte, with love Contents List of boxes xi Preface xiii 1 Introduction 1 1.1 What finance theory is about 1 1.2 Some history of thought 2 1.3 The importance of the puzzles 7 1.4 Outline of the book 9 2 Contingent claim economy 10 2.1 The commodity space 10 2.2 Preferences and ordinal utility 14 2.3 Maximization 16 2.4 General equilibrium 23 2.5 The representative agent 32 Notes on the literature 35 Problems 35 3 Asset economy 37 3.1 Financial assets 37 3.2 Pricing by redundancy 41 3.3 Radner economies 46 3.4 Complete markets (and uniqueness of Arrow prices) 53 3.5 Complications arising from market incompleteness 60 Notes on the literature 65 Problems 65 4 Risky decisions 68 viii Contents 4.1 Bernoulli’s St. Petersburg paradox 69 4.2 Using more structure: probabilities and lotteries 71 4.3 The von Neumann–Morgenstern representation 75 4.4 Measures of risk preference 81 4.5 Assumptions and evidence 86 4.6 Often used specifications 91 Notes on the literature 99 Problems 99 5 Static finance economy 102 5.1 An economy with von Neumann–Morgenstern agents 102 5.2 Efficient risk-sharing 107 5.3 A representative NM agent 112 5.4 Who holds what kind of portfolio? 121 5.5 The stochastic discount factor 126 5.6 The equilibrium price of time 130 5.7 The equilibrium price of risk 132 5.8 Some important special cases 134 Notes on the literature 138 Problems 138 6 Dynamic finance economy 141 6.1 A static dynamic model 141 6.2 Dynamic trading 149 6.3 Models of the real interest rate 162 6.4 Portfolio selection 168 Notes on the literature 170 Problems 170 7 Empirics and the puzzles 172 7.1 Collecting the right data 172 7.2 The equity premium puzzle 176 7.3 Alternative interpretations of the data 184 7.4 Excessive volatility 192 7.5 Anomalies 197 Notes on the literature 198 8 Adapting the theory 199 8.1 Assumptions of the mainstream model 199 8.2 Non-standard preferences 201 8.3 Heterogeneity 214 8.4 Efficiency failure 225 Contents ix Notes on the literature 238 9 Epilog 239 9.1 A mystery 240 9.2 A challenge 241 9.3 The party’s over 242 Appendix A Symbols and notation 245 Appendix B Solutions to the problem sets 247 Bibliography 269 Index 285 List of boxes 2 . 1 Definition of a commodity 14 2 . 2 Equivalent utility functions 15 2 . 3 Maximality condition 19 2 . 4 Classical dichotomy 20 2 . 5 Interest rate as relative price 22 2 . 6 Insurance premium as relative price 22 2 . 7 Contingent claim economy 24 2 . 8 Competitive equilibrium 25 2 . 9 First welfare theorem 29 2 . 10 Loss of distributional information 33 3 . 1 Law of one price 43 3 . 2 Decomposition 43 3 . 3 Risk-neutral probabilities 44 3 . 4 Risk-neutral pricing 45 3 . 5 Risk-neutral returns 45 3 . 6 Asset economy 46 3 . 7 Absence of arbitrage opportunities 49 3 . 8 Radner equilibrium 51 3 . 9 Loss of information on composition 53 3 . 10 Complete markets 54 3 . 11 Reverse decomposition and uniqueness of Arrow prices 54 3 . 12 State-wise dichotomy 58 3 . 13 The one-good one-agent economy 59 3 . 14 Effects of incomplete markets 63 3 . 15 Equilibrium in a quasi-complete market 64 4 . 1 Certainty equivalent and risk premium 73 4 . 2 Expected utility representation 78 4 . 3 Demand for full coverage 82 4 . 4 ARA 84 xii List of boxes 4 . 5 CARA—DARA—IARA 84 4 . 6 Determine your preferences 89 4 . 7 Likely utilities 91 4 . 8 HARA (Merton, 1971) 92 4 . 9 Approximate mean–variance analysis 99 5 . 1 Mutuality principle 107 5 . 2 Efficient allocation of aggregate risk (Wilson, 1968) 112 5 . 3 A distribution-independent representative (Rubinstein, 1974) 116 5 . 4 Sufficient condition for quasi-completeness (Ross, 1976) 118 5 . 5 Quasi-completeness without options 120 5 . 6 SDF 126 5 . 7 Equilibrium SDF as function of aggregate data 127 5 . 8 Risk-neutral probabilities are pessimistic 129 5 . 9 Growth and the risk-free rate 131 5 . 10 Aggregate risk and the risk-free rate 132 5 . 11 CCAPM 133 6 . 1 Fundamental pricing formula 147 6 . 2 Qualitative features of the term structure of interest rates 164 6 . 3 The expectations hypothesis of the term structure 166 Preface Dear reader This book takes you from the level of microeconomics principles through a sequence of carefully elaborated and detailed steps to modern topics in finance. The book is for you if you have been exposed to indifference curves, budget constraints, and maximization but would like to know about the consumption capital asset pricing model, the theory of the term structure of interest rates, the equity premium puzzle, and the social cost of the business cycle. Even if you have not taken a course in basic microeconomics, you can still read this book, because it reviews the part of microeconomics and general equilibrium theory that is relevant for the topics covered in this book. The book was written with three groups of readers in mind: graduate students with a focus on macroeconomics, financial eco- nomics, or monetary economics; MBA students specializing in finance; professionals of the financial community with a sufficient prior know- ledge of mathematics and economics. Essentially, it is suitable for everyone who is seriously interested in financial economics and its relation to the macroeconomy, and has an appetite for the formal analysis of these issues. Dear instructor The book is geared to the needs of MA/MSc or PhD students specializing in financial economics. It can also be used for undergraduate students xiii xiv Preface with a sufficient appetite for formal analysis as an introduction to general equilibrium theory, macroeconomics, or finance—three terms that have begun to overlap increasingly over the last two decades. The material covered fits comfortably into a two semester course. For students with sufficient prior exposure to economics (knowledge of gen- eral equilibrium theory and expected utility theory), chapters 2–4 can be reviewed quickly and the remainder of the book should then fit into one semester. Some knowledge of mathematics is required. This becomes quickly ob- vious simply by looking at the density of the equations in the book: there are fewer than a typical mathematics textbook would have, but considerably more than what someone who is not used to mathematics will feel comfort- able with. We use Euclidean spaces (finite-dimensional real vector spaces), basic statistics (mean, variance, covariance), maximization subject to con- straints, and calculus. More precisely, knowledge of mathematics at the level of Bartle (1976), Simon & Blume (1994), Sundaram (1996), Wein- traub (1982), or any other slightly advanced “Mathematics for Economists” text is more than enough. Use in combination with other books Depending on the class level you may wish to emphasize or de-emphasize different aspects or topics, and it may make sense to combine this text with another one. For a more applied audience and for practitioners, I recommend Cornell (1999) or Siegel (1998) as a starting point. Both books contain detailed discussions of the equity premium puzzle, yet both manage to do away almost completely with mathematics and econometrics. Another good place to start is AIMR’s (2002) published forum on the topic. In this forum, several prominent researchers in the field present their ideas in not too technical a fashion. These ideas are then discussed by a panel. LeRoy & Werner (2001) and Danthine & Donaldson (2002) are compa- rable in style and difficulty to the present book, should you wish to offer an alternative presentation of the material. The main differences are that these two books put less emphasis on aggregation conditions and cover empirical issues to a lesser extent (Danthine & Donaldson) or not at all (LeRoy & Werner). If you want to focus somewhat more on empirical work and your students are technically well-trained, the textbooks by Cochrane (2001) and Camp- bell, Lo & MacKinlay (1997) should provide nice complements, containing Preface xv much more information on econometric issues related to financial market data. The present book can also be used as a supplement to modern macroe- conomics courses. For instance, Ljungqvist & Sargent (2000) contains two chapters on equilibrium asset pricing; if you want to focus more on this topic that would be a valuable addition, especially since, unlike Ljungqvist & Sargent, we develop the topic at sub-sonic speed. For the more theory-minded reader, Gollier (2001a) has created an out- standing research book on the theory of decisions under risk and relations to general equilibrium and asset pricing. An older classic in this domain is Duffie (1988). These titles are clearly more advanced than the present. Finally, Brunnermeier (2001) presents a book that would be very appro- priate as a basis for a follow-on course from this one. He explores the con- sequences of asymmetric information in general equilibrium asset pricing theory, a topic we touch upon here only marginally. Website and supporting material The book’s website1 offers supporting material for instructors. First of all, there is a list of all the references made in the book, with links to online sources where available. This should help instructors collect material for a reader accompanying their course, and should help students collect the relevant literature on their own. The same website offers some Excel files in connection with the problem sets.
Recommended publications
  • Mathematics and Financial Economics Editor-In-Chief: Elyès Jouini, CEREMADE, Université Paris-Dauphine, Paris, France; [email protected]
    ABCD springer.com 2nd Announcement and Call for Papers Mathematics and Financial Economics Editor-in-Chief: Elyès Jouini, CEREMADE, Université Paris-Dauphine, Paris, France; [email protected] New from Springer 1st issue in July 2007 NEW JOURNAL Submit your manuscript online springer.com Mathematics and Financial Economics In the last twenty years mathematical finance approach. When quantitative methods useful to has developed independently from economic economists are developed by mathematicians theory, and largely as a branch of probability and published in mathematical journals, they theory and stochastic analysis. This has led to often remain unknown and confined to a very important developments e.g. in asset pricing specific readership. More generally, there is a theory, and interest-rate modeling. need for bridges between these disciplines. This direction of research however can be The aim of this new journal is to reconcile these viewed as somewhat removed from real- two approaches and to provide the bridging world considerations and increasingly many links between mathematics, economics and academics in the field agree over the necessity finance. Typical areas of interest include of returning to foundational economic issues. foundational issues in asset pricing, financial Mainstream finance on the other hand has markets equilibrium, insurance models, port- often considered interesting economic folio management, quantitative risk manage- problems, but finance journals typically pay ment, intertemporal economics, uncertainty less
    [Show full text]
  • The Law and Economics of Hedge Funds: Financial Innovation and Investor Protection Houman B
    digitalcommons.nyls.edu Faculty Scholarship Articles & Chapters 2009 The Law and Economics of Hedge Funds: Financial Innovation and Investor Protection Houman B. Shadab New York Law School Follow this and additional works at: http://digitalcommons.nyls.edu/fac_articles_chapters Part of the Banking and Finance Law Commons, and the Insurance Law Commons Recommended Citation 6 Berkeley Bus. L.J. 240 (2009) This Article is brought to you for free and open access by the Faculty Scholarship at DigitalCommons@NYLS. It has been accepted for inclusion in Articles & Chapters by an authorized administrator of DigitalCommons@NYLS. The Law and Economics of Hedge Funds: Financial Innovation and Investor Protection Houman B. Shadab t Abstract: A persistent theme underlying contemporary debates about financial regulation is how to protect investors from the growing complexity of financial markets, new risks, and other changes brought about by financial innovation. Increasingly relevant to this debate are the leading innovators of complex investment strategies known as hedge funds. A hedge fund is a private investment company that is not subject to the full range of restrictions on investment activities and disclosure obligations imposed by federal securities laws, that compensates management in part with a fee based on annual profits, and typically engages in the active trading offinancial instruments. Hedge funds engage in financial innovation by pursuing novel investment strategies that lower market risk (beta) and may increase returns attributable to manager skill (alpha). Despite the funds' unique costs and risk properties, their historical performance suggests that the ultimate result of hedge fund innovation is to help investors reduce economic losses during market downturns.
    [Show full text]
  • From Big Data to Econophysics and Its Use to Explain Complex Phenomena
    Journal of Risk and Financial Management Review From Big Data to Econophysics and Its Use to Explain Complex Phenomena Paulo Ferreira 1,2,3,* , Éder J.A.L. Pereira 4,5 and Hernane B.B. Pereira 4,6 1 VALORIZA—Research Center for Endogenous Resource Valorization, 7300-555 Portalegre, Portugal 2 Department of Economic Sciences and Organizations, Instituto Politécnico de Portalegre, 7300-555 Portalegre, Portugal 3 Centro de Estudos e Formação Avançada em Gestão e Economia, Instituto de Investigação e Formação Avançada, Universidade de Évora, Largo dos Colegiais 2, 7000 Évora, Portugal 4 Programa de Modelagem Computacional, SENAI Cimatec, Av. Orlando Gomes 1845, 41 650-010 Salvador, BA, Brazil; [email protected] (É.J.A.L.P.); [email protected] (H.B.B.P.) 5 Instituto Federal do Maranhão, 65075-441 São Luís-MA, Brazil 6 Universidade do Estado da Bahia, 41 150-000 Salvador, BA, Brazil * Correspondence: [email protected] Received: 5 June 2020; Accepted: 10 July 2020; Published: 13 July 2020 Abstract: Big data has become a very frequent research topic, due to the increase in data availability. In this introductory paper, we make the linkage between the use of big data and Econophysics, a research field which uses a large amount of data and deals with complex systems. Different approaches such as power laws and complex networks are discussed, as possible frameworks to analyze complex phenomena that could be studied using Econophysics and resorting to big data. Keywords: big data; complexity; networks; stock markets; power laws 1. Introduction Big data has become a very popular expression in recent years, related to the advance of technology which allows, on the one hand, the recovery of a great amount of data, and on the other hand, the analysis of that data, benefiting from the increasing computational capacity of devices.
    [Show full text]
  • An Introduction to Financial Econometrics
    An introduction to financial econometrics Jianqing Fan Department of Operation Research and Financial Engineering Princeton University Princeton, NJ 08544 November 14, 2004 What is the financial econometrics? This simple question does not have a simple answer. The boundary of such an interdisciplinary area is always moot and any attempt to give a formal definition is unlikely to be successful. Broadly speaking, financial econometrics is to study quantitative problems arising from finance. It uses sta- tistical techniques and economic theory to address a variety of problems from finance. These include building financial models, estimation and inferences of financial models, volatility estimation, risk management, testing financial economics theory, capital asset pricing, derivative pricing, portfolio allocation, risk-adjusted returns, simulating financial systems, hedging strategies, among others. Technological invention and trade globalization have brought us into a new era of financial markets. Over the last three decades, enormous number of new financial products have been created to meet customers’ demands. For example, to reduce the impact of the fluctuations of currency exchange rates on a firm’s finance, which makes its profit more predictable and competitive, a multinational corporation may decide to buy the options on the future of foreign exchanges; to reduce the risk of price fluctuations of a commodity (e.g. lumbers, corns, soybeans), a farmer may enter into the future contracts of the commodity; to reduce the risk of weather exposures, amuse parks (too hot or too cold reduces the number of visitors) and energy companies may decide to purchase the financial derivatives based on the temperature. An important milestone is that in the year 1973, the world’s first options exchange opened in Chicago.
    [Show full text]
  • Challenges in Macro-Finance Modeling
    Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Challenges in Macro-Finance Modeling Don Kim 2008-06 NOTE: Staff working papers in the Finance and Economics Discussion Series (FEDS) are preliminary materials circulated to stimulate discussion and critical comment. The analysis and conclusions set forth are those of the authors and do not indicate concurrence by other members of the research staff or the Board of Governors. References in publications to the Finance and Economics Discussion Series (other than acknowledgement) should be cleared with the author(s) to protect the tentative character of these papers. CHALLENGES IN MACRO-FINANCE MODELING DON H. KIM∗ Abstract. This paper discusses various challenges in the specification and implemen- tation of “macro-finance” models in which macroeconomic variables and term structure variables are modeled together in a no-arbitrage framework. I classify macro-finance models into pure latent-factor models (“internal basis models”) and models which have observed macroeconomic variables as state variables (“external basis models”), and examine the underlying assumptions behind these models. Particular attention is paid to the issue of unspanned short-run fluctuations in macro variables and their poten- tially adverse effect on the specification of external basis models. I also discuss the challenge of addressing features like structural breaks and time-varying inflation uncer- tainty. Empirical difficulties in the estimation and evaluation of macro-finance models are also discussed in detail. 1. introduction In recent years there has been much interest in developing “macro-finance models”, in which yields on nominal bonds are jointly modeled with one or more macroeconomic variables within a no-arbitrage framework.
    [Show full text]
  • Reconstructing the Great Recession
    Reconstructing the Great Recession Michele Boldrin, Carlos Garriga, Adrian Peralta-Alva, and Juan M. Sánchez This article uses dynamic equilibrium input-output models to evaluate the contribution of the con- struction sector to the Great Recession and the expansion preceding it. Through production inter- linkages and demand complementarities, shifts in housing demand can propagate to other economic sectors and generate a large and sustained aggregate cycle. According to our model, the housing boom (2002-07) fueled more than 60 percent and 25 percent of employment and GDP growth, respectively. The decline in the construction sector (2007-10) generates a drop in total employment and output about half of that observed in the data. In sharp contrast, ignoring interlinkages or demand comple- mentarities eliminates the contribution of the construction sector. (JEL E22, E32, O41) Federal Reserve Bank of St. Louis Review, Third Quarter 2020, 102(3), pp. 271-311. https://doi.org/10.20955/r.102.271-311 1 INTRODUCTION With the onset of the Great Recession, U.S. employment and gross domestic product (GDP) fell dramatically and then took a long time to return to their historical trends. There is still no consensus about what exactly made the recession so deep and the subsequent recovery so slow. In this article we evaluate the role played by the construction sector in driving the boom and bust of the U.S. economy during 2001-13. The construction sector represents around 5 percent of total employment, and its share of GDP is about 4.5 percent. Mechanically, the macroeconomic impact of a shock to the con- struction sector should be limited by these figures; we claim it is not.
    [Show full text]
  • Course Information Sheet for Entry in 2018-19 Msc in Law and Finance
    24/10/2017 MSc in Law and Finance | University of Oxford Course Information Sheet for entry in 2018-19 MSc in Law and Finance About the course The MSc in Law and Finance is taught jointly by the Law Faculty and the Saïd Business School. It will provide you with an advanced interdisciplinary understanding of economic and nancial concepts and their application to legal topics. The MSc combines a highly analytic academic core with tailor-made practical applications derived from collaboration with professional and regulatory organisations. There are two core nance courses, Finance and First Principles of Financial Economics, a core interdisciplinary course, Law and Economics of Corporate Transactions, and one or more elective courses in law. There are also pre-sessional courses in maths and nancial reporting. In addition to these core MLF courses, students selecting the Law Stream will take two law electives from a tailored list of about 10 law courses that are available to students on the Bachelor of Civil Law (BCL). The list of law electives comprises courses that are business law-oriented and thus are intended to complement both each other and the MLF course as a whole. In taking these electives, you will be joined by students taking the Law Faculty's other taught graduate courses, the BCL and the Magister Juris (MJur). MLF students can also select the Finance Stream. If you select this option, you will take only one law elective. In lieu of the second law elective, you will take a mandatory nance course, Corporate Valuation, in the second term and one nance elective in the third term.
    [Show full text]
  • Microfoundations
    TI 2006-041/1 Tinbergen Institute Discussion Paper Microfoundations Maarten Janssen Department of Economics, Erasmus Universiteit Rotterdam, and Tinbergen Institute. Tinbergen Institute The Tinbergen Institute is the institute for economic research of the Erasmus Universiteit Rotterdam, Universiteit van Amsterdam, and Vrije Universiteit Amsterdam. Tinbergen Institute Amsterdam Roetersstraat 31 1018 WB Amsterdam The Netherlands Tel.: +31(0)20 551 3500 Fax: +31(0)20 551 3555 Tinbergen Institute Rotterdam Burg. Oudlaan 50 3062 PA Rotterdam The Netherlands Tel.: +31(0)10 408 8900 Fax: +31(0)10 408 9031 Please send questions and/or remarks of non- scientific nature to [email protected]. Most TI discussion papers can be downloaded at http://www.tinbergen.nl. MICROFOUNDATIONS Maarten C.W. Janssen1 Erasmus University Rotterdam and Tinbergen Institute Abstract. This paper gives an overview and evaluates the literature on Microfoundations. Key Words: Representative Agents, New Keynesian Economics, and New Classical Economics JEL code: B22, D40, E00 1 Correspondence Address: Erasmus University Rotterdam and Tinbergen Institute, Postbus 1738, 3000 DR Rotterdam, The Netherlands, e-mail: [email protected]. This paper is prepared as an entry for The New Palgrave Dictionary of Economics (3rd edition) that is currently being prepared. I thank the editors, Steven Durlauf and David Easley, for comments on an earlier version. 1 The quest to understand microfoundations is an effort to understand aggregate economic phenomena in terms of the behavior of
    [Show full text]
  • Microfoundations?
    MICROFOUNDATIONS? J.E King* Department of Economics and Finance La Trobe University Victoria 3086 Australia [email protected] September 2008 *Discussions with Peter Kriesler first set me thinking about this question; I am also grateful to Sheila Dow, Mike Howard, Tee-Hee Jo, Fred Lee, Ian MacDonald, Kurt Rothschild, Michael Schneider and Tony Thirlwall for comments on an earlier draft of this paper. None of them is implicated in errors of fact or judgement. 1 Abstract It is widely believed by both mainstream and heterodox economists that macroeconomic theory must be based on microfoundations (MIFs). I argue that this belief is unfounded and potentially dangerous. I first trace the origins of MIFs, which began in the late 1960s as a project and only later hardened into a dogma. Since the case for MIFs is derived from methodological individualism, which itself an offshoot of the doctrine of reductionism, I then consider some of the relevant literature from the philosophy of science on the case for and against reducing one body of knowledge to another, and briefly discuss the controversies over MIFs that have taken place in sociology, political science and history. Next I assess a number of arguments for the need to provide macrofoundations for microeconomics. While rejecting this metaphor, I suggest that social and philosophical foundations (SPIFs) are needed, for both microeconomics and macroeconomics. I conclude by rebutting the objection that ‘it’s only a word’, suggesting instead that foundational metaphors in economics are positively misleading and are therefore best avoided. Convergence with the mainstream on this issue has gone too far, and should be reversed.
    [Show full text]
  • Paul Krugman Gets His ‘Nobel’
    “A maximization-and-equilibrium kind of guy”: Paul Krugman gets his ‘Nobel’ Paper for the 11th Conference of the Association for Heterodox Economics, on the theme “Heterodox Economics and Sustainable Development, 20 years on”, Kingston University, London, 9-12 July 2009 Hugh Goodacre Senior Lecturer, University of Westminster Affiliate Lecturer, Birkbeck College, University of London Teaching Fellow, University College London Abstract. Paul Krugman’s ‘new economic geography’ currently enjoys a high profile due to his recent Nobel award for contributions to the economics of geography and trade; it also conveniently focuses a number of wider issues regarding the relations of economics with its neighboring social science disciplines. Krugman describes himself as “ basically a maximization-and- equilibrium kind of guy…, quite fanatical about defending the relevance of standard economic models in many situations.” In contrast, the incumbent sub-discipline of economic geography has long played host to a zealous critique of such ‘standard’, that is, neoclassical models, and has fiercely defended its pluralistic traditions of research against the ‘monism’, or ‘economics imperialism’, of invasive initiatives such as Krugman’s. This paper surveys the lively polemical literature between these two very different kinds of guys on how to address the question of the global pattern of distribution of economic wealth and activity. It is argued that neither side in the interdisciplinary polemic has focussed sufficiently sharply on the political economy and intellectual and historical legacy of the colonial era. In conclusion, it is suggested that only by rectifying this shortcoming can the current inter- disciplinary standoff be shifted away from narrowly theoretical and methodological issues onto terrain where a more telling blow to economics imperialism can be made than the geographical critique has hitherto managed to deliver.
    [Show full text]
  • University of Pennsylvania the Wharton School FNCE
    University of Pennsylvania The Wharton School FNCE 911: Foundations for Financial Economics Prof. Jessica A. Wachter Fall 2019 Office: SH-DH 2459 Classes: Wednesday 1:30{4:30 Email: [email protected] Office hours: Wednesday 4:30{5:30 Course Description The objective of this course is to undertake a rigorous study of the theoretical foun- dations of modern financial economics. The course will cover the central themes of modern finance including individual investment decisions under uncertainty, stochas- tic dominance, mean-variance theory, capital market equilibrium and asset valuation, arbitrage pricing theory, option pricing and the potential application of these themes. Upon completion of this course, students should acquire a clear understanding of the major theoretical results concerning individuals' consumption and portfolio decisions under uncertainty and their implications for the valuations of securities. Prerequisites The prerequisites for this course are graduate level microeconomics (Economics 681 or Economics 701), matrix algebra, and calculus. The microeconomics courses may be taken concurrently. Course Material • The website for this course can be accessed through Canvas: https://canvas.upenn.edu. On this website you can find lecture notes, sample problems, announcements. • All readings are optional, but may be helpful. The textbook is C.F. Huang and R. Litzenberger, 1988, Foundations for Financial Economics, Prentice Hall. 1 On the syllabus, readings from the textbook are prefaced by HL. This textbook is out of print. You can find the chapters on the course website. • Following each topic, there is a list of recommended articles which can also be found on the website. Other reading Some excellent texts that cover material related to this course are: • K.
    [Show full text]
  • Who's Afraid of John Maynard Keynes?
    Who‘s Afraid of John Maynard Keynes? “Paul Davidson is the keeper of the Keynesian fame. Keynes lives (intellectu- ally), and Davidson is one of the reasons.” —Alan S. Blinder, Gordon S. Rentschler Memorial Professor of Economics and Public Afairs, Princeton University, USA Paul Davidson Who‘s Afraid of John Maynard Keynes? Challenging Economic Governance in an Age of Growing Inequality Paul Davidson Holly Chair of Excellence Emeritus University of Tennessee at Knoxville Knoxville, TN, USA ISBN 978-3-319-64503-2 ISBN 978-3-319-64504-9 (eBook) DOI 10.1007/978-3-319-64504-9 Library of Congress Control Number: 2017950681 © Te Editor(s) (if applicable) and Te Author(s) 2017 Tis work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifcally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microflms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Te use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifc statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Te publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made.
    [Show full text]