Mathematical Economics • Vasily E
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Monopolistic Competition in General Equilibrium: Beyond the CES Evgeny Zhelobodko, Sergey Kokovin, Mathieu Parenti, Jacques-François Thisse
Monopolistic competition in general equilibrium: Beyond the CES Evgeny Zhelobodko, Sergey Kokovin, Mathieu Parenti, Jacques-François Thisse To cite this version: Evgeny Zhelobodko, Sergey Kokovin, Mathieu Parenti, Jacques-François Thisse. Monopolistic com- petition in general equilibrium: Beyond the CES. 2011. halshs-00566431 HAL Id: halshs-00566431 https://halshs.archives-ouvertes.fr/halshs-00566431 Preprint submitted on 16 Feb 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. WORKING PAPER N° 2011 - 08 Monopolistic competition in general equilibrium: Beyond the CES Evgeny Zhelobodko Sergey Kokovin Mathieu Parenti Jacques-François Thisse JEL Codes: D43, F12, L13 Keywords: monopolistic competition, additive preferences, love for variety, heterogeneous firms PARIS-JOURDAN SCIENCES ECONOMIQUES 48, BD JOURDAN – E.N.S. – 75014 PARIS TÉL. : 33(0) 1 43 13 63 00 – FAX : 33 (0) 1 43 13 63 10 www.pse.ens.fr CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE – ECOLE DES HAUTES ETUDES EN SCIENCES SOCIALES ÉCOLE DES PONTS PARISTECH – ECOLE NORMALE SUPÉRIEURE – INSTITUT NATIONAL DE LA RECHERCHE AGRONOMIQUE Monopolistic Competition in General Equilibrium: Beyond the CES∗ Evgeny Zhelobodko† Sergey Kokovin‡ Mathieu Parenti§ Jacques-François Thisse¶ 13th February 2011 Abstract We propose a general model of monopolistic competition and derive a complete characterization of the market equilibrium using the concept of Relative Love for Variety. -
Nber Working Paper Series Financial Markets and The
NBER WORKING PAPER SERIES FINANCIAL MARKETS AND THE REAL ECONOMY John H. Cochrane Working Paper 11193 http://www.nber.org/papers/w11193 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 March 2005 This review will introduce a volume by the same title in the Edward Elgar series “The International Library of Critical Writings in Financial Economics” edited by Richard Roll. I encourage comments. Please write promptly so I can include your comments in the final version. I gratefully acknowledge research support from the NSF in a grant administered by the NBER and from the CRSP. I thank Monika Piazzesi and Motohiro Yogo for comments. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research. © 2005 by John H. Cochrane. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Financial Markets and the Real Economy John H. Cochrane NBER Working Paper No. 11193 March 2005, Revised September 2006 JEL No. G1, E3 ABSTRACT I survey work on the intersection between macroeconomics and finance. The challenge is to find the right measure of "bad times," rises in the marginal value of wealth, so that we can understand high average returns or low prices as compensation for assets' tendency to pay off poorly in "bad times." I survey the literature, covering the time-series and cross-sectional facts, the equity premium, consumption-based models, general equilibrium models, and labor income/idiosyncratic risk approaches. -
Syllabus Economics 341 American Economic History Spring 2017
Syllabus Economics 341 American Economic History Spring 2017 – Blow Hall 331 Prof. Will Hausman Economics 341 is a one-semester survey of the development of the U.S. economy from colonial times to the outbreak of World War II. The course uses basic economic concepts to help describe and explain overall economic growth as well as developments in specific sectors or aspects of the economy, such as agriculture, transportation, industry and commerce, money and banking, and public policy. The course focuses on events, trends, and institutions that fostered or hindered the economic development of the nation. At the end of the course, you should have a better understanding of the antecedents of our current economic situation. The course satisfies GER 4-A and the Major Writing Requirement. Blackboard: announcements, assignments, documents, links, data, and power points will be posted on Blackboard. Importantly, emails will be sent to the class through Blackboard. Text and Readings: There is a substantial amount of reading in this course. The recommended text is Gary Walton and Hugh Rockoff, History of the American Economy (any edition 7th through 12th; publication dates, 1996-2015). This is widely available under $10 in on-line used bookstores; I personally use the 8th edition (1998). This will be used mostly for background information. There also will be articles or book chapters assigned every week, as well as original documents. I expect you to read all articles and documents thoroughly and carefully. These will all be available on Blackboard, or can be found directly on JSTOR (via the Database Links on the Swem Library home page), or the journal publisher’s home page via Swem’s online catalog. -
Uncertainty and Hyperinflation: European Inflation Dynamics After World War I
FEDERAL RESERVE BANK OF SAN FRANCISCO WORKING PAPER SERIES Uncertainty and Hyperinflation: European Inflation Dynamics after World War I Jose A. Lopez Federal Reserve Bank of San Francisco Kris James Mitchener Santa Clara University CAGE, CEPR, CES-ifo & NBER June 2018 Working Paper 2018-06 https://www.frbsf.org/economic-research/publications/working-papers/2018/06/ Suggested citation: Lopez, Jose A., Kris James Mitchener. 2018. “Uncertainty and Hyperinflation: European Inflation Dynamics after World War I,” Federal Reserve Bank of San Francisco Working Paper 2018-06. https://doi.org/10.24148/wp2018-06 The views in this paper are solely the responsibility of the authors and should not be interpreted as reflecting the views of the Federal Reserve Bank of San Francisco or the Board of Governors of the Federal Reserve System. Uncertainty and Hyperinflation: European Inflation Dynamics after World War I Jose A. Lopez Federal Reserve Bank of San Francisco Kris James Mitchener Santa Clara University CAGE, CEPR, CES-ifo & NBER* May 9, 2018 ABSTRACT. Fiscal deficits, elevated debt-to-GDP ratios, and high inflation rates suggest hyperinflation could have potentially emerged in many European countries after World War I. We demonstrate that economic policy uncertainty was instrumental in pushing a subset of European countries into hyperinflation shortly after the end of the war. Germany, Austria, Poland, and Hungary (GAPH) suffered from frequent uncertainty shocks – and correspondingly high levels of uncertainty – caused by protracted political negotiations over reparations payments, the apportionment of the Austro-Hungarian debt, and border disputes. In contrast, other European countries exhibited lower levels of measured uncertainty between 1919 and 1925, allowing them more capacity with which to implement credible commitments to their fiscal and monetary policies. -
Mathematical Finance
Mathematical Finance 6.1I nterest and Effective Rates In this section, you will learn about various ways to solve simple and compound interest problems related to bank accounts and calculate the effective rate of interest. Upon completion you will be able to: • Apply the simple interest formula to various financial scenarios. • Apply the continuously compounded interest formula to various financial scenarios. • State the difference between simple interest and compound interest. • Use technology to solve compound interest problems, not involving continuously compound interest. • Compute the effective rate of interest, using technology when possible. • Compare multiple accounts using the effective rates of interest/effective annual yields. Working with Simple Interest It costs money to borrow money. The rent one pays for the use of money is called interest. The amount of money that is being borrowed or loaned is called the principal or present value. Interest, in its simplest form, is called simple interest and is paid only on the original amount borrowed. When the money is loaned out, the person who borrows the money generally pays a fixed rate of interest on the principal for the time period the money is kept. Although the interest rate is often specified for a year, annual percentage rate, it may be specified for a week, a month, or a quarter, etc. When a person pays back the money owed, they pay back the original amount borrowed plus the interest earned on the loan, which is called the accumulated amount or future value. Definition Simple interest is the interest that is paid only on the principal, and is given by I = Prt where, I = Interest earned or paid P = Present value or Principal r = Annual percentage rate (APR) changed to a decimal* t = Number of years* *The units of time for r and t must be the same. -
Math 581/Econ 673: Mathematical Finance
Math 581/Econ 673: Mathematical Finance This course is ideal for students who want a rigorous introduction to finance. The course covers the following fundamental topics in finance: the time value of money, portfolio theory, capital market theory, security price modeling, and financial derivatives. We shall dissect financial models by isolating their central assumptions and conceptual building blocks, showing rigorously how their gov- erning equations and relations are derived, and weighing critically their strengths and weaknesses. Prerequisites: The mathematical prerequisites are Math 212 (or 222), Math 221, and Math 230 (or 340) or consent of instructor. The course assumes no prior back- ground in finance. Assignments: assignments are team based. Grading: homework is 70% and the individual in-class project is 30%. The date, time, and location of the individual project will be given during the first week of classes. The project is mandatory; missing it is analogous to missing a final exam. Text: A. O. Petters and X. Dong, An Introduction to Mathematical Finance with Appli- cations (Springer, New York, 2016) The text will be allowed as a reference during the individual project. The following books are not required and may serve as supplements: - M. Capi´nski and T. Zastawniak, Mathematics for Finance (Springer, London, 2003) - J. Hull, Options, Futures, and Other Derivatives (Pearson Prentice Hall, Upper Saddle River, 2015) - R. McDonald, Derivative Markets, Second Edition (Addison-Wesley, Boston, 2006) - S. Roman, Introduction to the Mathematics of Finance (Springer, New York, 2004) - S. Ross, An Elementary Introduction to Mathematical Finance, Third Edition (Cambrige U. Press, Cambridge, 2011) - P. Wilmott, S. -
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 -
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. -
Recurrent Hyperinflations and Learning
Recurrent Hyperin‡ations and Learning Albert Marcet Universitat Pompeu Fabra and CEMFI Juan Pablo Nicolini Universidad Torcuato Di Tella and Universitat Pompeu Fabra Working Paper No. 9721 December 1997 We thank Tony Braun, Jim Bullard, George Evans, Seppo Honkapohja, Rodi Manuelli, Ramon Marimon, Tom Sargent, Harald Uhlig, Neil Wallace and Car- los Zarazaga for helpful conversations and Marcelo Delajara and Ignacio Ponce Ocampo for research assistance. All errors are our own. Part of this work was done when both authors were visiting the Federal Reserve Bank of Minneapolis. Research support from DGICYT, CIRIT and HCM is greatly appreciated. E-mail addresses: [email protected], [email protected]. CEMFI, Casado del Alisal 5, 28014 Madrid, Spain. Tel: 341 4290551, fax: 341 4291056, http://www.cem….es. Abstract This paper uses a model of boundedly rational learning to account for the observations of recurrent hyperin‡ations in the last decade. We study a standard monetary model where the fully rational expectations assumption is replaced by a formal de…nition of quasi-rational learning. The model under learning is able to match remarkably well some crucial stylized facts observed during the recurrent hyperin‡ations experienced by several countries in the 80’s. We argue that, despite being a small departure from rational expec- tations, quasi-rational learning does not preclude falsi…ability of the model and it does not violate reasonable rationality requirements. Keywords: Hyperin‡ations, convertibility, stabilization plans, quasi-rationality. JEL classi…cation: D83, E17, E31. 1 Introduction The goal of this paper is to develop a model that accounts for the main fea- tures of the hyperin°ations of last decade and to study the policy recomen- dations that arise from it. -
Chapter 5 Perfect Competition, Monopoly, and Economic Vs
Chapter Outline Chapter 5 • From Perfect Competition to Perfect Competition, Monopoly • Supply Under Perfect Competition Monopoly, and Economic vs. Normal Profit McGraw -Hill/Irwin © 2007 The McGraw-Hill Companies, Inc., All Rights Reserved. McGraw -Hill/Irwin © 2007 The McGraw-Hill Companies, Inc., All Rights Reserved. From Perfect Competition to Picking the Quantity to Maximize Profit Monopoly The Perfectly Competitive Case P • Perfect Competition MC ATC • Monopolistic Competition AVC • Oligopoly P* MR • Monopoly Q* Q Many Competitors McGraw -Hill/Irwin © 2007 The McGraw-Hill Companies, Inc., All Rights Reserved. McGraw -Hill/Irwin © 2007 The McGraw-Hill Companies, Inc., All Rights Reserved. Picking the Quantity to Maximize Profit Characteristics of Perfect The Monopoly Case Competition P • a large number of competitors, such that no one firm can influence the price MC • the good a firm sells is indistinguishable ATC from the ones its competitors sell P* AVC • firms have good sales and cost forecasts D • there is no legal or economic barrier to MR its entry into or exit from the market Q* Q No Competitors McGraw -Hill/Irwin © 2007 The McGraw-Hill Companies, Inc., All Rights Reserved. McGraw -Hill/Irwin © 2007 The McGraw-Hill Companies, Inc., All Rights Reserved. 1 Monopoly Monopolistic Competition • The sole seller of a good or service. • Monopolistic Competition: a situation in a • Some monopolies are generated market where there are many firms producing similar but not identical goods. because of legal rights (patents and copyrights). • Example : the fast-food industry. McDonald’s has a monopoly on the “Happy Meal” but has • Some monopolies are utilities (gas, much competition in the market to feed kids water, electricity etc.) that result from burgers and fries. -
Lecture Notes1 Mathematical Ecnomics
Lecture Notes1 Mathematical Ecnomics Guoqiang TIAN Department of Economics Texas A&M University College Station, Texas 77843 ([email protected]) This version: August, 2020 1The most materials of this lecture notes are drawn from Chiang’s classic textbook Fundamental Methods of Mathematical Economics, which are used for my teaching and con- venience of my students in class. Please not distribute it to any others. Contents 1 The Nature of Mathematical Economics 1 1.1 Economics and Mathematical Economics . 1 1.2 Advantages of Mathematical Approach . 3 2 Economic Models 5 2.1 Ingredients of a Mathematical Model . 5 2.2 The Real-Number System . 5 2.3 The Concept of Sets . 6 2.4 Relations and Functions . 9 2.5 Types of Function . 11 2.6 Functions of Two or More Independent Variables . 12 2.7 Levels of Generality . 13 3 Equilibrium Analysis in Economics 15 3.1 The Meaning of Equilibrium . 15 3.2 Partial Market Equilibrium - A Linear Model . 16 3.3 Partial Market Equilibrium - A Nonlinear Model . 18 3.4 General Market Equilibrium . 19 3.5 Equilibrium in National-Income Analysis . 23 4 Linear Models and Matrix Algebra 25 4.1 Matrix and Vectors . 26 i ii CONTENTS 4.2 Matrix Operations . 29 4.3 Linear Dependance of Vectors . 32 4.4 Commutative, Associative, and Distributive Laws . 33 4.5 Identity Matrices and Null Matrices . 34 4.6 Transposes and Inverses . 36 5 Linear Models and Matrix Algebra (Continued) 41 5.1 Conditions for Nonsingularity of a Matrix . 41 5.2 Test of Nonsingularity by Use of Determinant . -
Lecture 13: Financial Disasters and Econophysics
Lecture 13: Financial Disasters and Econophysics Big problem: Power laws in economy and finance vs Great Moderation: (Source: http://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/power-curves-what- natural-and-economic-disasters-have-in-common Analysis of big data, discontinuous change especially of financial sector, where efficient market theory missed the boat has drawn attention of specialists from physics and mathematics. Wall Street“quant”models may have helped the market implode; and collapse spawned econophysics work on finance instability. NATURE PHYSICS March 2013 Volume 9, No 3 pp119-197 : “The 2008 financial crisis has highlighted major limitations in the modelling of financial and economic systems. However, an emerging field of research at the frontiers of both physics and economics aims to provide a more fundamental understanding of economic networks, as well as practical insights for policymakers. In this Nature Physics Focus, physicists and economists consider the state-of-the-art in the application of network science to finance.” The financial crisis has made us aware that financial markets are very complex networks that, in many cases, we do not really understand and that can easily go out of control. This idea, which would have been shocking only 5 years ago, results from a number of precise reasons. What does physics bring to social science problems? 1- Heterogeneous agents – strange since physics draws strength from electron is electron is electron but STATISTICAL MECHANICS --- minority game, finance artificial agents, 2- Facility with huge data sets – data-mining for regularities in time series with open eyes. 3- Network analysis 4- Percolation/other models of “phase transition”, which directs attention at boundary conditions AN INTRODUCTION TO ECONOPHYSICS Correlations and Complexity in Finance ROSARIO N.