Asset Prices and Banking Distress: a Macroeconomic Approach by Goetz Von Peter
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Chapter 4 — Complete Markets
Chapter 4 — Complete Markets The Basic Complete-Market Problem There are N primary assets each with price pi and payoff Xsi is state s. There are also a complete set of S pure state securities each of which pays $1 in its own state s and 0 otherwise. These pure state securities are often called Arrow-Debreu securities. Assuming there is no arbi- trage, the price of the pure state s security must be qs, the state price. In a complete market like this, investors will be indifferent between choosing a portfolio from the S state securities and all N + S securities. A portfolio holding n shares of primary assets and η1 shares of the Arrow-Debreu securities will provide consumption c = Xn + η1 in the states at time 1. A portfolio holding η2 ≡ Xn + η1 of just the Arrow-Debreu securities obviously gives the same consumption. The costs of the two portfolios are q′c and p′n + q′η1. From the definition of c and the no-arbitrage result that p′ = q′X, these are obviously the same. Of course in equilibrium the original primary assets must actually be held. However this can be done by financial intermediaries like mutual funds. They buy all the primary shares finan- cing the purchases by issuing the Arrow-Debreu securities. By issuing h = Xn Arrow-Debreu securities where n is the aggregate supply of the primary assets, the intermediary is exactly hedged, and their role can be ignored. So with no loss of generality, we can therefore assume that individual investors only purchases Arrow-Debreu securities ignoring the primary assets. -
The Development of Macroeconomics and the Revolution in Finance
1 The Development of Macroeconomics and the Revolution in Finance Perry Mehrling August 26, 2005 Every graduate student learns a story about where modern macroeconomics came from, if only as context for the reading list he is supposed to master as part of his PhD coursework. Usually the story is about disciplinary progress, the slow building of the modern edifice one paper at a time by dedicated scientists not much older than the student himself. It is a story about the internal development of the field, a story intended to help the student make sense of the current disciplinary landscape and to prepare him for a life of writing and receiving referee reports. Exemplary stories of this type include Blanchard (2000) and Woodford (1999). So, for example, a typical story of the development of macroeconomics revolves around a series of academic papers: in the 1960s Muth, Phelps, and Friedman planted the seed from which Robert Lucas and others developed new classical macroeconomics in the 1970s, from which Ed Prescott and others developed real business cycle theory in the 1980s, from which Michael Woodford and others in the 1990s produced the modern new neoclassical synthesis.1 As a pedagogical device, this kind of story has its use, but as history of ideas it leaves a lot to be desired. In fact, as I shall argue, neoKeynesian macroeconomics circa 1965 was destabilized not by the various internal theoretical problems that standard pedagogy emphasizes, but rather by fundamental changes in the institutional structure of the world 1 Muth (1961), Phelps (1968), Friedman (1968); Lucas (1975, 1976, 1977); Kydland and Prescott (1982), Long and Plosser (1983); Woodford (2003). -
QR43, Introduction to Investments Class Notes, Fall 2004 I. Prices, Portfolios, and Arbitrage
QR43, Introduction to Investments Class Notes, Fall 2004 I. Prices, Portfolios, and Arbitrage A. Introduction 1. What are investments? You pay now, get repaid later. But can you be sure how much you will be repaid? Time and uncertainty are essential. Real investments, such as machinery, require an input of re- sources today and deliver an output of resources later. Financial investments,suchasstocksandbonds,areclaimstotheoutput produced by real investments. For example: A company issues shares of stock to investors. The proceeds of the share issue are used to build a factory and to hire workers. The factory produces goods, and the sales proceeds give the company revenue or sales. After paying the workers and set- ting aside money to replace the machinery and buildings when they wear out (depreciation), the company is left with earnings.The company keeps some earnings to make new real investments (re- tained earnings), and pays the rest to shareholders in the form of dividends. Later, the company decides to expand production and needs to raisemoremoneytofinance its expansion. Rather than issue new shares, it decides to issue corporate bonds that promise fixed pay- ments to bondholders. The expanded production increases revenue. However, interest payments on the bonds, and the setting aside of 1 money to repay the principal (amortization), are subtracted from revenue. Thus earnings may increase or decrease depending on the success of the company’s expansion. Financial investments are also known as capital assets or finan- cial assets. The markets in which capital assets are traded are known as capital markets or financial markets. Capital assets are commonly divided into three broad categories: Fixed-income securities promise to make fixed payments in the • future. -
Fundamentals of Money and Banking.Pptx
Fundamentals of Money and Banking Alfredo Schclarek Curutchet National University of Córdoba, Argentina National Scientific and Technical Research Council (CONICET), Argentina www.cbaeconomia.com The 24th NSE International Development Forum INSE, PKU August 9, 2018 1 Plan for presentation 1. Motivation 2. Visions of money 3. Money view 1. Hierarchy of monetary system 2. Fluctuation of monetary system 3. Liquidity and (in)stability of monetary system 4. Credit, money and investment 2 Motivation Recent international financial crisis (2007/2009) shows: Understand financial and banking system for macroeconomic analysis Mainstream theories (Neoclassical and NewKeynesian) not useful for: understanding, predicting and giving policy advise Not sufficient to incorporate credit frictions and banking sector in standard DSGE models Main problem: underlying theory of money 3 Visions of money Metalist: Jevons, Menger, von Mises, Kiyotaki, Wright, neo- classical and neo-keynesian Cartalist: Knapp, Mireaux, Goodhart, and post-Keynesian Money view: Perry Mehrling (Columbia University and Institute for New Economic Thinking) 4 Metalist Origin: Private sector (minimize transactions costs involved in barter and advantageous characteristics of the precious metals as a medium of exchange e.g., durability, divisibility, portability, etc.) Value of money: backing (gold, metals) Loss in value: reduction of gold and metals, relative to quantity money Quantity of money: exogenous, given by availability of gold and dollars Role of banks: only intermediaries -
Money and Prices Under Uncertainty1
Money and prices under uncertainty1 Tomoyuki Nakajima2 Herakles Polemarchakis3 Review of Economic Studies, 72, 223-246 (2005) 4 1We had very helpful conversations with Jayasri Dutta, Ronel Elul, John Geanakoplos, Demetre Tsomokos and Michael Woodford; the editor and referees made valuable comments and suggestions. The work of Polemarchakis would not have been possible without earlier joint work with Gaetano Bloise and Jacques Dr`eze. 2Department of Economics, Brown University; tomoyuki [email protected] 3Department of Economics, Brown University; herakles [email protected] 4Earlier versions appeared as \Money and prices under uncertainty," Working Paper No. 01- 32, Department of Economics, Brown University, September, 2001 and \Monetary equilibria with monopolistic competition and sticky prices," Working Paper No. 02-25, Department of Economics, Brown University, 2002 Abstract We study whether monetary economies display nominal indeterminacy: equivalently, whether monetary policy determines the path of prices under uncertainty. In a simple, stochastic, cash-in-advance economy, we find that indeterminacy arises and is characterized by the initial price level and a probability measure associated with state-contingent nom- inal bonds: equivalently, monetary policy determines an average, but not the distribution of inflation across realizations of uncertainty. The result does not derive from the stability of the deterministic steady state and is not affected essentially by price stickiness. Nom- inal indeterminacy may affect real allocations in cases we identify. Our characterization applies to stochastic monetary models in general, and it permits a unified treatment of the determinants of paths of inflation. Key words: monetary policy; uncertainty; indeterminacy; fiscal policy; price rigidities. JEL classification numbers: D50; D52; E31; E40; E50. -
November 19, 2008 Letter
November 19, 2008 The Honorable Henry Reid The Honorable Nancy Pelosi Senate Majority Leader Speaker of the House Washington, DC 20510 Washington, DC 20515 The Honorable Mitch McConnell The Honorable John Boehner Senate Minority Leader House Minority Leader Washington, DC 20510 Washington, DC 20515 Dear Sen. Reid, Sen. McConnell, Speaker Pelosi, and Rep. Boehner: We, the undersigned economists, urge Congress to pass a new stimulus package as quickly as possible. The need to deal with financial turmoil has directed attention away from the "real" economy. But the latest data clearly show that the economy is entering a serious recession, initiated by the collapse of homebuilding and intensified by the paralysis of credit markets. Without a fast an effective response by government, the economy could continue to spiral downward, leading to a large increase in unemployment and a sharp decline in GDP. The potential severity of the downturn suggests that a boost to demand on the order of 2.0-3.0 percent of GDP ($300-$400 billion) would be appropriate, with the goal being to get this money spent quickly. The list of targets includes: a) aid to state and local governments that are being forced to make emergency cutbacks as revenues fall; b) extending unemployment insurance and increasing other benefits targeted toward low and moderate income households who are likely to spend quickly; c) moving forward infrastructure projects that have already been planned and scheduled; and d) providing tax credits and other support for "green" projects that can be done quickly, such as retrofitting homes and businesses for increased energy efficiency. -
Intermediation Markups and Monetary Policy Passthrough ∗
Intermediation Markups and Monetary Policy Passthrough ∗ Semyon Malamudyand Andreas Schrimpfz This version: December 12, 2016 Abstract We introduce intermediation frictions into the classical monetary model with fully flexible prices. Trade in financial assets happens through intermediaries who bargain over a full set of state-contingent claims with their customers. Monetary policy is redistributive and affects intermediaries' ability to extract rents; this opens up a new channel for transmission of monetary shocks into rates in the wider economy, which may be labelled the markup channel of monetary policy. Passthrough efficiency depends crucially on the anticipated sensitivity of future monetary policy to future stock market returns (the \Central Bank Put"). The strength of this put determines the room for maneuver of monetary policy: when it is strong, monetary policy is destabilizing and may lead to market tantrums where deteriorating risk premia, illiquidity and markups mutually reinforce each other; when the put is too strong, passthrough becomes fully inefficient and a surprise easing even begets a rise in real rates. Keywords: Monetary Policy, Stock Returns, Intermediation, Market Frictions JEL Classification Numbers: G12, E52, E40, E44 ∗We thank Viral Acharya, Markus Brunnermeier, Egemen Eren, Itay Goldstein, Piero Gottardi, Michel Habib, Enisse Kharroubi, Arvind Krishnamurthy, Giovanni Lombardo, Matteo Maggiori, Jean-Charles Rochet, Hyun Song Shin, and Michael Weber, as well as seminar participants at the BIS and the University of Zurich for helpful comments. Semyon Malamud acknowledges the financial support of the Swiss National Science Foundation and the Swiss Finance Institute. Parts of this paper were written when Malamud visited BIS as a research fellow. -
Mit and Money
Groupe de REcherche en Droit, Economie, Gestion UMR CNRS 7321 MIT AND MONEY Documents de travail GREDEG GREDEG Working Papers Series Perry Mehrling GREDEG WP No. 2013-44 http://www.gredeg.cnrs.fr/working-papers.html Les opinions exprimées dans la série des Documents de travail GREDEG sont celles des auteurs et ne reflèlent pas nécessairement celles de l’institution. Les documents n’ont pas été soumis à un rapport formel et sont donc inclus dans cette série pour obtenir des commentaires et encourager la discussion. Les droits sur les documents appartiennent aux auteurs. The views expressed in the GREDEG Working Paper Series are those of the author(s) and do not necessarily reflect those of the institution. The Working Papers have not undergone formal review and approval. Such papers are included in this series to elicit feedback and to encourage debate. Copyright belongs to the author(s). MIT and Money Perry Mehrling October 22, 2013 I would like to thank all the participants in the HOPE conference for helpful suggestions and stimulating discussion, and in addition Bob Solow, Roger Backhouse, Goncalo Fonseca, Duncan Foley and Roy Weintraub for thoughtful and searching comment on early drafts. 1 Abstract: The Treasury-Fed Accord of 1951 and the subsequent rebuilding of private capital markets, first domestically and then globally, provided the shifting institutional background against which thinking about money and monetary policy evolved within the MIT economics department. Throughout that evolution, a constant, and a constraint, was the conception of monetary economics that Paul Samuelson had himself developed as early as 1937, a conception that informed the decision to bring in Modigliani in 1962, as well as Foley and Sidrauski in 1965. -
The Vision of Hyman P. Minsky
Journal of Economic Behavior & Organization Vol. 39 (1999) 129–158 The vision of Hyman P. Minsky Perry Mehrling ∗ Barnard College, 3009 Broadway, New York NY 10027, USA Received 3 March 1998; received in revised form 20 July 1998; accepted 22 July 1998 Abstract ©1999 Elsevier Science B.V. All rights reserved. JEL classification: B3; E5 Keywords: Financial fragility; Financial instability; Speculation; Lender of last resort; Refinance On the mezzanine of Littauer, Schumpeter instructed about the primacy of vision: in particular that we — the young who engaged him in conversation — should develop our vision, we should have a view that in a sense is prescientific of what the game is about, about the way the beast functions, about the way the various parts of economics and social science are related and, yes, about our own maps of Utopia. Once we have a vision, then our control of theory, our command of institutional detail, and our knowledge of history are to be marshaled to support the vision...Schumpeter’s methodology of vision and theory, with theory a servant of vision, may seem cynical, but, in truth, it is honest. It is a way of systematizing thought so that dialogue could take place. The division between vision and technique leads to a recognition that we are marshaling evidence when we do theory, when we analyze data, and when we read history. Schumpeter’s methodology undercuts much of the pretentious nonsense about economics as a science and elevates the importance of discourse, of dialogue, and of just plain good talk for a serious study of society. -
Report September 2000 10/6/03 11:31 AM
Report September 2000 10/6/03 11:31 AM Report September 2000 Volume 10, Number 3 Conference on Saving, Intergenerational transfers, and the distribution of wealth As part of its research program into the causes of and solutions to income inequality, the Levy Institute held a conference from June 7 to 9 on the distribution of wealth. The conference was organized by Senior Scholar Edward N. Wolff. Brief notes on the participants' remarks are given here. CONTENTS Conference Saving, Intergenerational Transfers, and the Distribution of Wealth Workshop on Earnings Inequality Editorial Monetarism is Finally Dead, RIP New Working Papers Trends in Direct Measures of Job Skill Requirements Kaleckian Models of Growth in a Stock-Flow Monetary Framework: A Neo- Kaldorian Model "It" Happened, But Not Again: A Minskian Analysis of Japan's Lost Decade Family Structure, Race, and Wealth Ownership: A Longitudinal Exploration of Wealth Accumulation Processes Can European Banks Survive a Unified Currency in a Nationally Segmented Capital Market? Household Savings in Germany An Examination of the Changes in the Distribution of Wealth from 1989 to 1998: Evidence from the Survey of Consumer Finances Discontinuities in the Distribution of Great Wealth: Sectoral Forces Old and New file://localhost/Volumes/wwwroot/docs/report/rptsep00.html Page 1 of 25 Report September 2000 10/6/03 11:31 AM Profits: The Views of Jerome Levy and Michal Kalecki New Policy Notes Welfare College Students: Measuring the Impact of Welfare Reform Health Care Finance in Need of Rethinking Can the Expansion Be Sustained? A Minskian View Drowning in Debt Levy Institute News Lecture Steve Keen: Toward a General Model of Debt Deflation New Staff Event Publications and Presentations Publications and Presentations by Levy Institute Scholars The Jerome Levy Economics Institute of Bard College, founded in 1986, is a nonprofit, nonpartisan, independently funded research organization devoted to public service. -
Lecture 02: One Period Model
Fin 501: Asset Pricing Lecture 02: One Period Model Prof. Markus K. Brunnermeier 10:37 Lecture 02 One Period Model Slide 2-1 Fin 501: Asset Pricing Overview 1. Securities Structure • Arrow-Debreu securities structure • Redundant securities • Market completeness • Completing markets with options 2. Pricing (no arbitrage, state prices, SDF, EMM …) 10:37 Lecture 02 One Period Model Slide 2-2 Fin 501: Asset Pricing The Economy s=1 • State space (Evolution of states) s=2 Two dates: t=0,1 0 S states of the world at time t=1 … • Preferences s=S U(c0, c1, …,cS) (slope of indifference curve) • Security structure Arrow-Debreu economy General security structure 10:37 Lecture 02 One Period Model Slide 2-3 Fin 501: Asset Pricing Security Structure • Security j is represented by a payoff vector • Security structure is represented by payoff matrix • NB. Most other books use the transpose of X as payoff matrix. 10:37 Lecture 02 One Period Model Slide 2-4 Fin 501: Asset Pricing Arrow-Debreu Security Structure in R2 One A-D asset e1 = (1,0) c2 This payoff cannot be replicated! Payoff Space <X> c1 Markets are incomplete ) 10:37 Lecture 02 One Period Model Slide 2-5 Fin 501: Asset Pricing Arrow-Debreu Security Structure in R2 Add second A-D asset e2 = (0,1) to e1 = (1,0) c2 c1 10:37 Lecture 02 One Period Model Slide 2-6 Fin 501: Asset Pricing Arrow-Debreu Security Structure in R2 Add second A-D asset e2 = (0,1) to e1 = (1,0) c2 Payoff space <X> c1 Any payoff can be replicated with two A-D securities 10:37 Lecture 02 One Period Model Slide 2-7 Fin 501: Asset -
Finance: a Quantitative Introduction Chapter 7 - Part 2 Option Pricing Foundations
The setting Complete Markets Arbitrage free markets Risk neutral valuation Finance: A Quantitative Introduction Chapter 7 - part 2 Option Pricing Foundations Nico van der Wijst 1 Finance: A Quantitative Introduction c Cambridge University Press The setting Complete Markets Arbitrage free markets Risk neutral valuation 1 The setting 2 Complete Markets 3 Arbitrage free markets 4 Risk neutral valuation 2 Finance: A Quantitative Introduction c Cambridge University Press The setting Complete Markets Arbitrage free markets Risk neutral valuation Recall general valuation formula for investments: t X Exp [Cash flowst ] Value = t (1 + discount ratet ) Uncertainty can be accounted for in 3 different ways: 1 Adjust discount rate to risk adjusted discount rate 2 Adjust cash flows to certainty equivalent cash flows 3 Adjust probabilities (expectations operator) from normal to risk neutral or equivalent martingale probabilities 3 Finance: A Quantitative Introduction c Cambridge University Press The setting Complete Markets Arbitrage free markets Risk neutral valuation Introduce pricing principles in state preference theory old, tested modelling framework excellent framework to show completeness and arbitrage more general than binomial option pricing Also introduce some more general concepts equivalent martingale measure state prices, pricing kernel, few more Gives you easy entry to literature (+ pinch of matrix algebra, just for fun, can easily be omitted) 4 Finance: A Quantitative Introduction c Cambridge University Press The setting Time and states Complete