PhD Course in Corporate Finance

Size: px
Start display at page:

Download "PhD Course in Corporate Finance"

Transcription

1 Initial Public Offerings 1 Revised March 8, Professor of Corporate Finance, University of Mannheim; Homepage: Tel: +49 (621) , maug@uni-mannheim.de. This note is made publicly available subject to the condition that any user notifies the author of its use. Please bring any errors and omissions to the attention of the author.

2 The Model Based on Rock (1986) A company offers 1 share of its common stock for the first time in an initial public offering (IPO). Value of company is uncertain: { V with probability p V = V with probability 1 p The share is offered at an initial offering price P 0 ; the price cannot be revised.

3 There are two groups of investors: Informed investors acuire information about the company. They apply for 0 < Q I 1 shares if and only if they expect to break at least even, otherwise they do not apply for shares. Uninformed investors do not acuire any information and only know the probability distribution for firm values. They apply for Q U 1 shares if and only if they expect to break at least even, otherwise they do not apply for shares. Note: If uninformed investors and informed investors apply for shares, then demand exceeds supply. Assume also that the number of shares cannot be increased in this case (no Greenshoe option ).

4 We also assume: Investors cannot short sell the shares. The information acuired by informed investors is of the form of a binary signal σ {σ; σ} where: Pr (σ = σ V = V ) = Pr ( σ = σ V = V ) = 1 ɛ. Hence ɛ is the error of the signal. Assume for now that ɛ = 0, i. e. informed investors receive a perfect signal. If demand exceeds supply, shares are rationed pro rata, i. e. 1 every investor receives a proportion Q U +Q I per share ordered.

5 From these assumptions it is easy to derive the decision rule of informed investors: Apply if P 0 V, Do not apply if P 0 > V. It is clear that the issuer will never issue shares below V, and no investor will ever buy shares if P 0 > V. Hence P 0 [ V, V ] and the policy of the informed investor can be rewritten as: Apply if V = V, Do not apply if V = V.

6 Then we can write the incentive compatibility constraint for the uninformed investors as follows: Q U ( ) p V P 0 + (1 p) (V P0 ) 0. Q U + Q I This implies that the offering price is bounded from above. Define α Q U Q U +Q I. Then: P 0 αp V + (1 p) V 1 (1 α) p. Uninformed investors will not participate if this constraint is violated.

7 This shows immediately that the offer is underpriced. The average price in secondary trading is: P 1 = p V + (1 p) V. Then the average IPO discount is: IPO = P 1 P 0 = p V + (1 p) V ( 1 ( 1 ) α 1 (1 α) p ) 1 1 (1 α) p = p (1 p) ( V V ) 1 α 1 (1 α) p.

8 Note that: Exercise The variance of a Bernoulli random variable like firm value is p (1 p) ( V V ) 2, hence the IPO discount is closely related to the uncertainty or volatility of the share price. The IPO discount is zero only if α = 1 as long as volatility is not zero. Hence, 1 α is a parameter for the degree of adverse selection. Generalize the model above for the case where ɛ > 0 and informed investors information is only imperfect. Derive new expressions for P 0 and IPO.

9 Exercise Extend the model of Rock (1986) to include underwriter price support in the secondary market as follows. Assume the firm hires an underwriter who is committed to buy all shares from the firm at the price P F. The underwriter sells the shares in the IPO for P 0 and agrees to buy shares back in the secondary market for some support price P. Only investors who bought shares in the IPO can sell them back at the support price.

10 Solve the model using the following steps: Assume that P [ V, V ]. Rewrite the condition for the uninformed investors to participate in the IPO. Show that P 0 becomes a function of P. Derive this function and show whether it is decreasing or increasing. Write down the payoff of the underwriter. This must include the payoff from buying shares from the firm and selling them to investors, and the expected cost of price support, i. e. the cost of buying shares above their intrinsic value. (Hint: assume the underwriter buys these shares from investors and immediately sells them in the secondary market for the intrinsic value P 1 ). From this, what is the price P F the underwriter can offer the firm and still make a positive profit?

11 Assume many banks compete for underwriting the issue, so the underwriter makes zero profits in euilibrium and the underwriter who buys the shares from the firm at the highest price P F conducts the offering. Which level of price support P is offered in euilibrium? Verify the initial assumption that P [ V, V ]. Hence, what is the euilibrium solution for P 0 and P F? Show that the euilibrium has the following properties: (1) the adverse selection problem is eliminated completely, and the firm receives a fair price of the stock, and (2) the IPO is overpriced. Comment on this solution. Note: Models of IPO price support were published by Chowdhry and Nanda (1996) and Benveniste, BuSaba and Wilhelm (1996).

12 Based on Benveniste and Wilhelm (1990) Entrepreneur wants to take his firm public and sell one share to two investors. Each investor observes a signal that is either good (g) with probability p or bad (b) with probability 1 p. Once listed, shares are trading at a price P s where s {0, 1, 2}, the number of good signals: P s = P (2 s) α.

13 The entrepreneur hires an investment bank that sells the shares at offering prices PO s to the public and elicits the information of the two investors by way of a mechanism through direct revelation (the revelation principle applies). The investment bank can choose the allocation s g, s b as a function of the information investors reveal to the bank during bookbuilding. Let φ 1 be the minimum number of shares the entrepreneur wishes to sell in the issue. Let f φ/2 be the maximum each investor is willing to buy.

14 The objective of the bank and the entrepreneur is to choose an allocation and offering prices to maximize expected proceeds. Shares not sold in the IPO will be sold in an SEO later: Π = E (P s ) p 2 ( P 2 PO) g 2p (1 p) ( P 1 PO) 1 ( 1 g + b 1 ) (1 p) 2 ( P 0 PO) b subject to the following constraints. 1 Sell at least φ and at most one share: 1 2g 2 φ 1 g 1 + b 1 φ (1) 1 2b 0 φ

15 2 Investors are willing to buy at most f shares each: 0 g s, b s f s = 0, 1, 2. (2) 3 It must be incentive compatible for the investor with good information to reveal her information truthfully: p ( P 2 P 2 O) 2 g + (1 p) ( P 1 P 1 O) 1 g (3) p ( P 2 P 1 O) 1 b + (1 p) ( P 1 P 0 O) 0 b (4) = p ( P 1 + α P 1 O) 1 b + (1 p) ( P 0 + α P 0 O) 0 b.(5)

16 4 It must be incentive compatible for the investor with bad information to reveal her information truthfully: p ( P 1 P 1 O) 1 b + (1 p) ( P 0 P 0 O) 0 b p ( P 1 P 2 O) 2 g + (1 p) ( P 0 P 1 O) 1 g (6) = p ( P 2 α P 2 O) 1 b + (1 p) ( P 1 α P 1 O) 0 b. 5 Investors are not willing to pay more for shares than they are worth (participation constraint): P s P s 0 s = 0, 1, 2. (7)

17 Analysis Rewrite Π as: Π = E (P s ) 2p [ p ( P 2 PO) 2 2 g + (1 p) ( P 1 PO 1 ) ] 1 g 2 (1 p) [ p ( P 1 PO) 1 1 b + (1 p) ( P 0 PO 0 ) ] 0 b Assume that only (4) is binding and that (6) is not binding. Then substitute (4) into the first suare brackets: Π = E (P s ) 2p [ p ( P 1 + α PO) 1 1 b + (1 p) ( P 0 + α PO 0 ) ] 0 b 2 (1 p) [ p ( P 1 PO) 1 1 b + (1 p) ( P 0 PO 0 ) ] 0 b = E (P s ) 2 [ p ( P 1 PO) 1 1 b + (1 p) ( P 0 PO 0 ) ] 0 b 2pα [ pb 1 + (1 p) b] 0.

18 Now choose the allocation and prices as follows: 1 Π is increasing in P 1 O and P0 O. Hence, choose P1 O = P1 and P 0 O = P0, so (7) is binding for s = 0, 1. Then the first term in suare bracket vanishes. 2 Π is decreasing in b 0 and 1 b, so choose these as small as possible, so from (1), b 0 = φ/2, 1 b = f and 1 g = φ f.

19 3 Rewrite (4) and choose ( P 2 P 2 O) 2 g so that (4) is just satisfied: p ( P 2 P 2 O) 2 g = α (pf + (1 p) φ/2). Solving for P0 2 gives: [ f PO 2 = P2 α g 2 + ] (1 p) φ 2pg 2 Clearly, an admissable solution is 2 g = f and Note that [ PO 2 = P2 α 1 + ] (1 p) φ 2pf. (8) P 2 α P 2 O = α (1 p) φ 2pf > 0. (9)

20 4 With this, PO 2 < P1 = P 2 α. Note that the left hand side of (6) euals zero because the offering prices eual the aftermarket prices from the first step. The right hand side of (6) can be rewritten using (9): ( ) α (1 p) φ 0 p f + (1 p) ( α) φ 2pf 2 = 0, where we have used that P 1 O = P1, 0 b = φ/2, and 1 b = f, hence (6) is also satisfied.

21 Discussion Underpricing is the expected difference between market price and offering price: Underpricing is therefore: Increasing in α, Increasing in φ, Decreasing in f. E (P s PO s ) = ( p2 P 2 PO 2 ) = p 2 α [ 1 + (1 p) φ pf ].

22 Expected proceeds are: E (P s ) 2pα [pf + (1 p) φ/2] The second expression represents the rents extracted by informed investors. The offering price is not monotonic (P 2 O < P1 O = P1 ). If that would be reuired, then choose P 1 O < P1 and underpricing increases.

23 Regular investors Assume the bank can extract some of the rents of regular investors and induce them to accept a loss L > 0. Then (7) becomes P s + L P s 0 s = 0, 1, 2. (10) Clearly, the bank will then overprice some IPOs and increase the offering amount.

24 Motivation Based on Khanna, Noe and Sonti (2008) Puzzling observations about IPOs: Hot issue markets: why do many firms suddenly decide to go public? What is the window of opportunity? Underpricing is higher in hot markets than in cold markets. Why do firms not shift to markets where they have to leave less money on the table? Why does competition not eliminate banks rents in hot markets? Why are firms during hot markets younger, less profitable, and with less insider ownership?

25 The Model Economy has N entrepreneurs who may go public. Each is matched with one of a continuum of underwriters: A fraction ρ of projects is good ( G ) with payoff X = 1, 1 ρ is bad ( B ) with payoff X = 0. Going public has an opportunity cost w. Each firm bargains with the underwriter it is matched with who sets the offer price p s. Firms capture a fraction β of the issue price, underwriters 1 β. Underwriters benefit from higher prices through higher fees; they are penalized for overpricing IPOs. Underwriters hire a uantity η [0, 1] of bankers who cost θ and screen projects. With probability 1 η they receive an uninformed signal U. With probability η they become perfectly informed so that Pr (H 1) = Pr (L 0) = η.

26 Timing of Events

27 Solution ρ 1 Average uality of the IPO pool is π = ρ+α(1 ρ), assuming that all G projects and α of the B projects go public ( single crossing ). This is the fundamental value of the shares. 2 There is no underpricing for s = L, H. There is underpricing for s = U : p U < π. 3 The difference in issue prices between G and B firms is βη. G entrepreneurs issue with probability 1.

28 A seuentially rational euilibrium is a triple (π, η, θ) such that: 1 B firms play a mixed strategy: β (1 η) p U = w. 2 The market for bankers clears: Nη (ρ + α (1 ρ)) = Nη ρ π 1. 3 Underwriters hire screening labor ( bankers ) such that V = θ. 4 Underpricing: p U < π.

29 Proposition The larger the pool of potential IPOs (N ) in an overheated euilibrium, the lower the average uality of firms that want to go public (π ). The higher the average uality of IPOs issued, the higher the benefit for B firms to go public. The higher the probability of screening, the lower the benefit for B firms to go public. Hence, B s indifference condition implies that a higher π has to be compensated by a higher η. A higher N (or ρ) shifts the indifference curve in π η space to the right and euilibrium π down. Fixed supply of bankers reduces π: A higher uality ρ or a larger size N of the IPO pool reduces the uality of IPO applicants.

30

31 Hot and Cold Markets Proposition If the number of good projects ρn is below β w, there exists an euilibrium in which only good projects try to obtain funding. If ρn is above this cut-off, some bad firms apply for funding. Implications: There is a discontinuous shift at some point such that above the threshold, there are more firms apply for funds. Such a shock is more likely to come from market-wide shocks than from industry-specific IPO waves. β

32 Discussion The story in a nutshell: Hot markets are ignited for neoclassical reasons: The number of good firms that want to go public crosses a critical threshold. Once sufficiently many investment bankers are too busy screening projects, the uality of screening declines, which opens a window of opportunity for bad firms. Bad firms are drawn into the market, which becomes even more crowded, deteriorating the uality of screening further. The uality of IPOs declines and the uncertainty about uality increases, leading to more underpricing.

Good IPOs draw in bad: Inelastic banking capacity and hot markets

Good IPOs draw in bad: Inelastic banking capacity and hot markets Good IPOs draw in bad: Inelastic banking capacity and hot markets Naveen Khanna Eli Broad School of Business Michigan State University Thomas H. Noe Saïd Business School and Balliol College University

More information

Good IPOs drive in bad: Inelastic banking capacity and persistently large underpricing in hot IPO markets

Good IPOs drive in bad: Inelastic banking capacity and persistently large underpricing in hot IPO markets Good IPOs drive in bad: Inelastic banking capacity and persistently large underpricing in hot IPO markets Naveen Khanna Eli Broad School of Business Michigan State University Thomas H. Noe A. B. Freeman

More information

Good IPOs draw in bad

Good IPOs draw in bad Good IPOs draw in bad Naveen Khanna Eli Broad School of Business Michigan State University Thomas H. Noe A. B. Freeman School of Business Tulane University Ramana Sonti Indian School of Business This version:

More information

Evaluating Strategic Forecasters. Rahul Deb with Mallesh Pai (Rice) and Maher Said (NYU Stern) Becker Friedman Theory Conference III July 22, 2017

Evaluating Strategic Forecasters. Rahul Deb with Mallesh Pai (Rice) and Maher Said (NYU Stern) Becker Friedman Theory Conference III July 22, 2017 Evaluating Strategic Forecasters Rahul Deb with Mallesh Pai (Rice) and Maher Said (NYU Stern) Becker Friedman Theory Conference III July 22, 2017 Motivation Forecasters are sought after in a variety of

More information

Microeconomics Qualifying Exam

Microeconomics Qualifying Exam Summer 2018 Microeconomics Qualifying Exam There are 100 points possible on this exam, 50 points each for Prof. Lozada s questions and Prof. Dugar s questions. Each professor asks you to do two long questions

More information

Econ 234C Corporate Finance Lecture 11: IPOs

Econ 234C Corporate Finance Lecture 11: IPOs Econ 234C Corporate Finance Lecture 11: IPOs Ulrike Malmendier UC Berkeley April 24, 2007 Outline 1. Organization 2. IPOs basics and stylized facts 3. IPOs Initial underpricing 4. IPOs LR underperformance?

More information

PhD Qualifier Examination

PhD Qualifier Examination PhD Qualifier Examination Department of Agricultural Economics May 29, 2015 Instructions This exam consists of six questions. You must answer all questions. If you need an assumption to complete a question,

More information

Exercises on the New-Keynesian Model

Exercises on the New-Keynesian Model Advanced Macroeconomics II Professor Lorenza Rossi/Jordi Gali T.A. Daniël van Schoot, daniel.vanschoot@upf.edu Exercises on the New-Keynesian Model Schedule: 28th of May (seminar 4): Exercises 1, 2 and

More information

BASEL II: Internal Rating Based Approach

BASEL II: Internal Rating Based Approach BASEL II: Internal Rating Based Approach Juwon Kwak Yonsei University In Ho Lee Seoul National University First Draft : October 8, 2007 Second Draft : December 21, 2007 Abstract The aim of this paper is

More information

Online Appendix. Bankruptcy Law and Bank Financing

Online Appendix. Bankruptcy Law and Bank Financing Online Appendix for Bankruptcy Law and Bank Financing Giacomo Rodano Bank of Italy Nicolas Serrano-Velarde Bocconi University December 23, 2014 Emanuele Tarantino University of Mannheim 1 1 Reorganization,

More information

Market Liquidity and Performance Monitoring The main idea The sequence of events: Technology and information

Market Liquidity and Performance Monitoring The main idea The sequence of events: Technology and information Market Liquidity and Performance Monitoring Holmstrom and Tirole (JPE, 1993) The main idea A firm would like to issue shares in the capital market because once these shares are publicly traded, speculators

More information

Comparing Allocations under Asymmetric Information: Coase Theorem Revisited

Comparing Allocations under Asymmetric Information: Coase Theorem Revisited Comparing Allocations under Asymmetric Information: Coase Theorem Revisited Shingo Ishiguro Graduate School of Economics, Osaka University 1-7 Machikaneyama, Toyonaka, Osaka 560-0043, Japan August 2002

More information

Homework # 8 - [Due on Wednesday November 1st, 2017]

Homework # 8 - [Due on Wednesday November 1st, 2017] Homework # 8 - [Due on Wednesday November 1st, 2017] 1. A tax is to be levied on a commodity bought and sold in a competitive market. Two possible forms of tax may be used: In one case, a per unit tax

More information

Crises and Prices: Information Aggregation, Multiplicity and Volatility

Crises and Prices: Information Aggregation, Multiplicity and Volatility : Information Aggregation, Multiplicity and Volatility Reading Group UC3M G.M. Angeletos and I. Werning November 09 Motivation Modelling Crises I There is a wide literature analyzing crises (currency attacks,

More information

Lecture 3: Information in Sequential Screening

Lecture 3: Information in Sequential Screening Lecture 3: Information in Sequential Screening NMI Workshop, ISI Delhi August 3, 2015 Motivation A seller wants to sell an object to a prospective buyer(s). Buyer has imperfect private information θ about

More information

Sentiments and Aggregate Fluctuations

Sentiments and Aggregate Fluctuations Sentiments and Aggregate Fluctuations Jess Benhabib Pengfei Wang Yi Wen June 15, 2012 Jess Benhabib Pengfei Wang Yi Wen () Sentiments and Aggregate Fluctuations June 15, 2012 1 / 59 Introduction We construct

More information

Ambiguous Information and Trading Volume in stock market

Ambiguous Information and Trading Volume in stock market Ambiguous Information and Trading Volume in stock market Meng-Wei Chen Department of Economics, Indiana University at Bloomington April 21, 2011 Abstract This paper studies the information transmission

More information

Revision Lecture Microeconomics of Banking MSc Finance: Theory of Finance I MSc Economics: Financial Economics I

Revision Lecture Microeconomics of Banking MSc Finance: Theory of Finance I MSc Economics: Financial Economics I Revision Lecture Microeconomics of Banking MSc Finance: Theory of Finance I MSc Economics: Financial Economics I April 2005 PREPARING FOR THE EXAM What models do you need to study? All the models we studied

More information

DARTMOUTH COLLEGE, DEPARTMENT OF ECONOMICS ECONOMICS 21. Dartmouth College, Department of Economics: Economics 21, Summer 02. Topic 5: Information

DARTMOUTH COLLEGE, DEPARTMENT OF ECONOMICS ECONOMICS 21. Dartmouth College, Department of Economics: Economics 21, Summer 02. Topic 5: Information Dartmouth College, Department of Economics: Economics 21, Summer 02 Topic 5: Information Economics 21, Summer 2002 Andreas Bentz Dartmouth College, Department of Economics: Economics 21, Summer 02 Introduction

More information

Sentiments and Aggregate Fluctuations

Sentiments and Aggregate Fluctuations Sentiments and Aggregate Fluctuations Jess Benhabib Pengfei Wang Yi Wen March 15, 2013 Jess Benhabib Pengfei Wang Yi Wen () Sentiments and Aggregate Fluctuations March 15, 2013 1 / 60 Introduction The

More information

Practice Problems 2: Asymmetric Information

Practice Problems 2: Asymmetric Information Practice Problems 2: Asymmetric Information November 25, 2013 1 Single-Agent Problems 1. Nonlinear Pricing with Two Types Suppose a seller of wine faces two types of customers, θ 1 and θ 2, where θ 2 >

More information

(1 p)(1 ε)+pε p(1 ε)+(1 p)ε. ε ((1 p)(1 ε) + pε). This is indeed the case since 1 ε > ε (in turn, since ε < 1/2). QED

(1 p)(1 ε)+pε p(1 ε)+(1 p)ε. ε ((1 p)(1 ε) + pε). This is indeed the case since 1 ε > ε (in turn, since ε < 1/2). QED July 2008 Philip Bond, David Musto, Bilge Yılmaz Supplement to Predatory mortgage lending The key assumption in our model is that the incumbent lender has an informational advantage over the borrower.

More information

Internet Appendix for Cost of Experimentation and the Evolution of Venture Capital

Internet Appendix for Cost of Experimentation and the Evolution of Venture Capital Internet Appendix for Cost of Experimentation and the Evolution of Venture Capital I. Matching between Entrepreneurs and Investors No Commitment Using backward induction we start with the second period

More information

Discussion of Chiu, Meh and Wright

Discussion of Chiu, Meh and Wright Discussion of Chiu, Meh and Wright Nancy L. Stokey University of Chicago November 19, 2009 Macro Perspectives on Labor Markets Stokey - Discussion (University of Chicago) November 19, 2009 11/2009 1 /

More information

Microeconomic Theory II Preliminary Examination Solutions

Microeconomic Theory II Preliminary Examination Solutions Microeconomic Theory II Preliminary Examination Solutions 1. (45 points) Consider the following normal form game played by Bruce and Sheila: L Sheila R T 1, 0 3, 3 Bruce M 1, x 0, 0 B 0, 0 4, 1 (a) Suppose

More information

Optimal Negative Interest Rates in the Liquidity Trap

Optimal Negative Interest Rates in the Liquidity Trap Optimal Negative Interest Rates in the Liquidity Trap Davide Porcellacchia 8 February 2017 Abstract The canonical New Keynesian model features a zero lower bound on the interest rate. In the simple setting

More information

Microeconomic Theory II Preliminary Examination Solutions Exam date: August 7, 2017

Microeconomic Theory II Preliminary Examination Solutions Exam date: August 7, 2017 Microeconomic Theory II Preliminary Examination Solutions Exam date: August 7, 017 1. Sheila moves first and chooses either H or L. Bruce receives a signal, h or l, about Sheila s behavior. The distribution

More information

Precision of Ratings

Precision of Ratings Precision of Ratings Anastasia V Kartasheva Bilge Yılmaz January 24, 2012 Abstract We analyze the equilibrium precision of ratings Our results suggest that ratings become less precise as the share of uninformed

More information

Most public firms tend to finance their projects first with retained earnings, then with debt, and only finally with equity (as a last resort)

Most public firms tend to finance their projects first with retained earnings, then with debt, and only finally with equity (as a last resort) LECTURE 1: RAISING CAPITAL- EQUITY 1. FINANCING POLICY Sources of funds: 1. Internal funds i.e. Retained earnings, cash 2. External funds Debt i.e. Borrowing Equity i.e. Issuing new shares Hybrids Pecking

More information

ADVERSE SELECTION PAPER 8: CREDIT AND MICROFINANCE. 1. Introduction

ADVERSE SELECTION PAPER 8: CREDIT AND MICROFINANCE. 1. Introduction PAPER 8: CREDIT AND MICROFINANCE LECTURE 2 LECTURER: DR. KUMAR ANIKET Abstract. We explore adverse selection models in the microfinance literature. The traditional market failure of under and over investment

More information

The Influence of Underpricing to IPO Aftermarket Performance: Comparison between Fixed Price and Book Building System on the Indonesia Stock Exchange

The Influence of Underpricing to IPO Aftermarket Performance: Comparison between Fixed Price and Book Building System on the Indonesia Stock Exchange International Journal of Economics and Financial Issues ISSN: 2146-4138 available at http: www.econjournals.com International Journal of Economics and Financial Issues, 2017, 7(4), 157-161. The Influence

More information

Bernanke and Gertler [1989]

Bernanke and Gertler [1989] Bernanke and Gertler [1989] Econ 235, Spring 2013 1 Background: Townsend [1979] An entrepreneur requires x to produce output y f with Ey > x but does not have money, so he needs a lender Once y is realized,

More information

(Some theoretical aspects of) Corporate Finance

(Some theoretical aspects of) Corporate Finance (Some theoretical aspects of) Corporate Finance V. Filipe Martins-da-Rocha Department of Economics UC Davis Part 6. Lending Relationships and Investor Activism V. F. Martins-da-Rocha (UC Davis) Corporate

More information

Microeconomic Theory August 2013 Applied Economics. Ph.D. PRELIMINARY EXAMINATION MICROECONOMIC THEORY. Applied Economics Graduate Program

Microeconomic Theory August 2013 Applied Economics. Ph.D. PRELIMINARY EXAMINATION MICROECONOMIC THEORY. Applied Economics Graduate Program Ph.D. PRELIMINARY EXAMINATION MICROECONOMIC THEORY Applied Economics Graduate Program August 2013 The time limit for this exam is four hours. The exam has four sections. Each section includes two questions.

More information

Practice Problems 1: Moral Hazard

Practice Problems 1: Moral Hazard Practice Problems 1: Moral Hazard December 5, 2012 Question 1 (Comparative Performance Evaluation) Consider the same normal linear model as in Question 1 of Homework 1. This time the principal employs

More information

Rational Inattention. Mark Dean. Behavioral Economics Spring 2017

Rational Inattention. Mark Dean. Behavioral Economics Spring 2017 Rational Inattention Mark Dean Behavioral Economics Spring 2017 The Story So Far... (Hopefully) convinced you that attention costs are important Introduced the satisficing model of search and choice But,

More information

Where do securities come from

Where do securities come from Where do securities come from We view it as natural to trade common stocks WHY? Coase s policemen Pricing Assumptions on market trading? Predictions? Partial Equilibrium or GE economies (risk spanning)

More information

Financial Economics Field Exam August 2011

Financial Economics Field Exam August 2011 Financial Economics Field Exam August 2011 There are two questions on the exam, representing Macroeconomic Finance (234A) and Corporate Finance (234C). Please answer both questions to the best of your

More information

Making Collusion Hard: Asymmetric Information as a Counter-Corruption Measure

Making Collusion Hard: Asymmetric Information as a Counter-Corruption Measure Making Collusion Hard: Asymmetric Information as a Counter-Corruption Measure Juan Ortner Boston University Sylvain Chassang Princeton University March 11, 2014 Preliminary Do not quote, Do not circulate

More information

Public information and IPO underpricing

Public information and IPO underpricing Public information and IPO underpricing Einar Bakke Tore E. Leite Karin S. Thorburn March 2, 2011 Abstract We analyze the effect of public information on rational investors incentives to reveal private

More information

CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION

CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION Szabolcs Sebestyén szabolcs.sebestyen@iscte.pt Master in Finance INVESTMENTS Sebestyén (ISCTE-IUL) Choice Theory Investments 1 / 65 Outline 1 An Introduction

More information

Strategic Trading of Informed Trader with Monopoly on Shortand Long-Lived Information

Strategic Trading of Informed Trader with Monopoly on Shortand Long-Lived Information ANNALS OF ECONOMICS AND FINANCE 10-, 351 365 (009) Strategic Trading of Informed Trader with Monopoly on Shortand Long-Lived Information Chanwoo Noh Department of Mathematics, Pohang University of Science

More information

Zhiling Guo and Dan Ma

Zhiling Guo and Dan Ma RESEARCH ARTICLE A MODEL OF COMPETITION BETWEEN PERPETUAL SOFTWARE AND SOFTWARE AS A SERVICE Zhiling Guo and Dan Ma School of Information Systems, Singapore Management University, 80 Stanford Road, Singapore

More information

Consumption and Asset Pricing

Consumption and Asset Pricing Consumption and Asset Pricing Yin-Chi Wang The Chinese University of Hong Kong November, 2012 References: Williamson s lecture notes (2006) ch5 and ch 6 Further references: Stochastic dynamic programming:

More information

Dual Currency Circulation and Monetary Policy

Dual Currency Circulation and Monetary Policy Dual Currency Circulation and Monetary Policy Alessandro Marchesiani University of Rome Telma Pietro Senesi University of Naples L Orientale September 11, 2007 Abstract This paper studies dual money circulation

More information

Macro (8701) & Micro (8703) option

Macro (8701) & Micro (8703) option WRITTEN PRELIMINARY Ph.D EXAMINATION Department of Applied Economics Jan./Feb. - 2010 Trade, Development and Growth For students electing Macro (8701) & Micro (8703) option Instructions Identify yourself

More information

Household Debt, Financial Intermediation, and Monetary Policy

Household Debt, Financial Intermediation, and Monetary Policy Household Debt, Financial Intermediation, and Monetary Policy Shutao Cao 1 Yahong Zhang 2 1 Bank of Canada 2 Western University October 21, 2014 Motivation The US experience suggests that the collapse

More information

Y t )+υ t. +φ ( Y t. Y t ) Y t. α ( r t. + ρ +θ π ( π t. + ρ

Y t )+υ t. +φ ( Y t. Y t ) Y t. α ( r t. + ρ +θ π ( π t. + ρ Macroeconomics ECON 2204 Prof. Murphy Problem Set 6 Answers Chapter 15 #1, 3, 4, 6, 7, 8, and 9 (on pages 462-63) 1. The five equations that make up the dynamic aggregate demand aggregate supply model

More information

Demand uncertainty, Bayesian update, and IPO pricing. The 2011 China International Conference in Finance, Wuhan, China, 4-7 July 2011.

Demand uncertainty, Bayesian update, and IPO pricing. The 2011 China International Conference in Finance, Wuhan, China, 4-7 July 2011. Title Demand uncertainty, Bayesian update, and IPO pricing Author(s) Qi, R; Zhou, X Citation The 211 China International Conference in Finance, Wuhan, China, 4-7 July 211. Issued Date 211 URL http://hdl.handle.net/1722/141188

More information

Efficiency in Decentralized Markets with Aggregate Uncertainty

Efficiency in Decentralized Markets with Aggregate Uncertainty Efficiency in Decentralized Markets with Aggregate Uncertainty Braz Camargo Dino Gerardi Lucas Maestri December 2015 Abstract We study efficiency in decentralized markets with aggregate uncertainty and

More information

External Financing and the Role of Financial Frictions over the Business Cycle: Measurement and Theory Ariel Zetlin-Jones and Ali Shourideh

External Financing and the Role of Financial Frictions over the Business Cycle: Measurement and Theory Ariel Zetlin-Jones and Ali Shourideh External Financing and the Role of Financial Frictions over the Business Cycle: Measurement and Theory Ariel Zetlin-Jones and Ali Shourideh Discussion by Gaston Navarro March 3, 2015 1 / 25 Motivation

More information

Final Exam. Consumption Dynamics: Theory and Evidence Spring, Answers

Final Exam. Consumption Dynamics: Theory and Evidence Spring, Answers Final Exam Consumption Dynamics: Theory and Evidence Spring, 2004 Answers This exam consists of two parts. The first part is a long analytical question. The second part is a set of short discussion questions.

More information

A Model of the Reserve Asset

A Model of the Reserve Asset A Model of the Reserve Asset Zhiguo He (Chicago Booth and NBER) Arvind Krishnamurthy (Stanford GSB and NBER) Konstantin Milbradt (Northwestern Kellogg and NBER) July 2015 ECB 1 / 40 Motivation US Treasury

More information

1 Rational Expectations Equilibrium

1 Rational Expectations Equilibrium 1 Rational Expectations Euilibrium S - the (finite) set of states of the world - also use S to denote the number m - number of consumers K- number of physical commodities each trader has an endowment vector

More information

Feedback Effect and Capital Structure

Feedback Effect and Capital Structure Feedback Effect and Capital Structure Minh Vo Metropolitan State University Abstract This paper develops a model of financing with informational feedback effect that jointly determines a firm s capital

More information

Strategic complementarity of information acquisition in a financial market with discrete demand shocks

Strategic complementarity of information acquisition in a financial market with discrete demand shocks Strategic complementarity of information acquisition in a financial market with discrete demand shocks Christophe Chamley To cite this version: Christophe Chamley. Strategic complementarity of information

More information

Problem Set 2. Theory of Banking - Academic Year Maria Bachelet March 2, 2017

Problem Set 2. Theory of Banking - Academic Year Maria Bachelet March 2, 2017 Problem Set Theory of Banking - Academic Year 06-7 Maria Bachelet maria.jua.bachelet@gmai.com March, 07 Exercise Consider an agency relationship in which the principal contracts the agent, whose effort

More information

1 Chapter 4 Money in Equilibrium

1 Chapter 4 Money in Equilibrium 1 Chapter 4 Money in Euilibrium 1.1 A Model of Divisible Money The environment is similar to chapter 3.2. The main difference is that now they assume the fiat money is divisible. In addtition, in this

More information

MORAL HAZARD PAPER 8: CREDIT AND MICROFINANCE

MORAL HAZARD PAPER 8: CREDIT AND MICROFINANCE PAPER 8: CREDIT AND MICROFINANCE LECTURE 3 LECTURER: DR. KUMAR ANIKET Abstract. Ex ante moral hazard emanates from broadly two types of borrower s actions, project choice and effort choice. In loan contracts,

More information

Backward integration, forward integration, and vertical foreclosure. Yossi Spiegel, Tel Aviv University

Backward integration, forward integration, and vertical foreclosure. Yossi Spiegel, Tel Aviv University Backward integration, forward integration, and vertical foreclosure Yossi Spiegel, Tel Aviv University Background Foreclosure is prob. the main competitive concern about vertical integration Three strands

More information

Can Stock Price Manipulation be Prevented by Granting More Freedom to Manipulators

Can Stock Price Manipulation be Prevented by Granting More Freedom to Manipulators International Journal of Economics and Finance; Vol. 7, No. 3; 205 ISSN 96-97X E-ISSN 96-9728 Published by Canadian Center of Science and Education Can Stock Price Manipulation be Prevented by Granting

More information

Corporate Strategy, Conformism, and the Stock Market

Corporate Strategy, Conformism, and the Stock Market Corporate Strategy, Conformism, and the Stock Market Thierry Foucault (HEC) Laurent Frésard (Maryland) November 20, 2015 Corporate Strategy, Conformism, and the Stock Market Thierry Foucault (HEC) Laurent

More information

Lecture 7 - Locational equilibrium continued

Lecture 7 - Locational equilibrium continued Lecture 7 - Locational euilibrium continued Lars Nesheim 3 January 28 Review. Constant returns to scale (CRS) production function 2. Pro ts are y = f (K; L) () = K L (p tx) K L K r (x) L Businesses hire

More information

Transactions with Hidden Action: Part 1. Dr. Margaret Meyer Nuffield College

Transactions with Hidden Action: Part 1. Dr. Margaret Meyer Nuffield College Transactions with Hidden Action: Part 1 Dr. Margaret Meyer Nuffield College 2015 Transactions with hidden action A risk-neutral principal (P) delegates performance of a task to an agent (A) Key features

More information

Optimal monetary policy when asset markets are incomplete

Optimal monetary policy when asset markets are incomplete Optimal monetary policy when asset markets are incomplete R. Anton Braun Tomoyuki Nakajima 2 University of Tokyo, and CREI 2 Kyoto University, and RIETI December 9, 28 Outline Introduction 2 Model Individuals

More information

The Basic New Keynesian Model

The Basic New Keynesian Model Jordi Gali Monetary Policy, inflation, and the business cycle Lian Allub 15/12/2009 In The Classical Monetary economy we have perfect competition and fully flexible prices in all markets. Here there is

More information

Monetary Economics Final Exam

Monetary Economics Final Exam 316-466 Monetary Economics Final Exam 1. Flexible-price monetary economics (90 marks). Consider a stochastic flexibleprice money in the utility function model. Time is discrete and denoted t =0, 1,...

More information

Credit Market Competition and Liquidity Crises

Credit Market Competition and Liquidity Crises Credit Market Competition and Liquidity Crises Elena Carletti Agnese Leonello European University Institute and CEPR University of Pennsylvania May 9, 2012 Motivation There is a long-standing debate on

More information

Oil Price Uncertainty in a Small Open Economy

Oil Price Uncertainty in a Small Open Economy Yusuf Soner Başkaya Timur Hülagü Hande Küçük 6 April 212 Oil price volatility is high and it varies over time... 15 1 5 1985 199 1995 2 25 21 (a) Mean.4.35.3.25.2.15.1.5 1985 199 1995 2 25 21 (b) Coefficient

More information

A Theory of Endogenous Liquidity Cycles

A Theory of Endogenous Liquidity Cycles A Theory of Endogenous Günter Strobl Kenan-Flagler Business School University of North Carolina October 2010 Liquidity and the Business Cycle Source: Næs, Skjeltorp, and Ødegaard (Journal of Finance, forthcoming)

More information

Asymmetric Information: Walrasian Equilibria, and Rational Expectations Equilibria

Asymmetric Information: Walrasian Equilibria, and Rational Expectations Equilibria Asymmetric Information: Walrasian Equilibria and Rational Expectations Equilibria 1 Basic Setup Two periods: 0 and 1 One riskless asset with interest rate r One risky asset which pays a normally distributed

More information

UCD CENTRE FOR ECONOMIC RESEARCH WORKING PAPER SERIES. Optimal IPO Design with Informed Trading

UCD CENTRE FOR ECONOMIC RESEARCH WORKING PAPER SERIES. Optimal IPO Design with Informed Trading UCD CENTRE FOR ECONOMIC RESEARCH WORKING PAPER SERIES 2007 Optimal IPO Design with Informed Trading Sarah Parlane, University College Dublin Fabrice Rousseau, NUI Maynooth WP07/06 May 2007 UCD SCHOOL OF

More information

Universidade de Aveiro Departamento de Economia, Gestão e Engenharia Industrial. Documentos de Trabalho em Economia Working Papers in Economics

Universidade de Aveiro Departamento de Economia, Gestão e Engenharia Industrial. Documentos de Trabalho em Economia Working Papers in Economics Universidade de Aveiro Departamento de Economia, Gestão e Engenharia Industrial Documentos de Trabalho em Economia Working Papers in Economics ÈUHD&LHQWtILFDGHFRQRPLD Qž 7KHVLPSOHDQDO\WLFVRILQIRUPDWLRQ

More information

Agricultural Markets. Spring Lecture 24

Agricultural Markets. Spring Lecture 24 Agricultural Markets Spring 2014 Two Finance Concepts My claim: the two critical ideas of finance (what you learn in MBA program). 1. Time Value of Money. 2. Risk Aversion and Pooling. Time Value of Money

More information

Strategic Intellectual Property Sharing: Competition on an Open Technology Platform Under Network Effects

Strategic Intellectual Property Sharing: Competition on an Open Technology Platform Under Network Effects Online Appendix for ISR Manuscript Strategic Intellectual Property Sharing: Competition on an Open Technology Platform Under Network Effects Marius F. Niculescu, D. J. Wu, and Lizhen Xu Scheller College

More information

Information Processing and Limited Liability

Information Processing and Limited Liability Information Processing and Limited Liability Bartosz Maćkowiak European Central Bank and CEPR Mirko Wiederholt Northwestern University January 2012 Abstract Decision-makers often face limited liability

More information

An Incomplete Contracts Approach to Financial Contracting

An Incomplete Contracts Approach to Financial Contracting Ph.D. Seminar in Corporate Finance Lecture 4 An Incomplete Contracts Approach to Financial Contracting (Aghion-Bolton, Review of Economic Studies, 1982) S. Viswanathan The paper analyzes capital structure

More information

A theory on merger timing and announcement returns

A theory on merger timing and announcement returns A theory on merger timing and announcement returns Paulo J. Pereira and Artur Rodrigues CEF.UP and Faculdade de Economia, Universidade do Porto. NIPE and School of Economics and Management, University

More information

TOPICS IN MACROECONOMICS: MODELLING INFORMATION, LEARNING AND EXPECTATIONS LECTURE NOTES. Lucas Island Model

TOPICS IN MACROECONOMICS: MODELLING INFORMATION, LEARNING AND EXPECTATIONS LECTURE NOTES. Lucas Island Model TOPICS IN MACROECONOMICS: MODELLING INFORMATION, LEARNING AND EXPECTATIONS LECTURE NOTES KRISTOFFER P. NIMARK Lucas Island Model The Lucas Island model appeared in a series of papers in the early 970s

More information

Appendix to: AMoreElaborateModel

Appendix to: AMoreElaborateModel Appendix to: Why Do Demand Curves for Stocks Slope Down? AMoreElaborateModel Antti Petajisto Yale School of Management February 2004 1 A More Elaborate Model 1.1 Motivation Our earlier model provides a

More information

Ownership Structure and the Life-Cycle of the Firm: A Theory of the Decision to Go Public

Ownership Structure and the Life-Cycle of the Firm: A Theory of the Decision to Go Public European Finance Review 5: 167 200, 2001. 2001 Kluwer Academic Publishers. Printed in the Netherlands. 167 Ownership Structure and the Life-Cycle of the Firm: A Theory of the Decision to Go Public ERNST

More information

MACROECONOMICS. Prelim Exam

MACROECONOMICS. Prelim Exam MACROECONOMICS Prelim Exam Austin, June 1, 2012 Instructions This is a closed book exam. If you get stuck in one section move to the next one. Do not waste time on sections that you find hard to solve.

More information

Answers to Problem Set #8

Answers to Problem Set #8 Macroeconomic Theory Spring 2013 Chapter 15 Answers to Problem Set #8 1. The five equations that make up the dynamic aggregate demand aggregate supply model can be manipulated to derive long-run values

More information

Lender Moral Hazard and Reputation in Originate-to-Distribute Markets

Lender Moral Hazard and Reputation in Originate-to-Distribute Markets Lender Moral Hazard and Reputation in Originate-to-Distribute Markets Andrew Winton Vijay Yerramilli April 2012 Abstract We analyze a dynamic model of originate-to-distribute lending in which a bank with

More information

MAGISTERARBEIT. Titel der Magisterarbeit. ''How to Determine the IPO Share Price?'' Verfasser. Miho Katić. angestrebter akademischer Grad

MAGISTERARBEIT. Titel der Magisterarbeit. ''How to Determine the IPO Share Price?'' Verfasser. Miho Katić. angestrebter akademischer Grad MAGISTERARBEIT Titel der Magisterarbeit ''How to Determine the IPO Share Price?'' Verfasser Miho Katić angestrebter akademischer Grad Magister der Sozial- und Wirtschaftswissenschaften (Mag. rer. soc.

More information

Lecture 10 Game Plan. Hidden actions, moral hazard, and incentives. Hidden traits, adverse selection, and signaling/screening

Lecture 10 Game Plan. Hidden actions, moral hazard, and incentives. Hidden traits, adverse selection, and signaling/screening Lecture 10 Game Plan Hidden actions, moral hazard, and incentives Hidden traits, adverse selection, and signaling/screening 1 Hidden Information A little knowledge is a dangerous thing. So is a lot. -

More information

Macroprudential Bank Capital Regulation in a Competitive Financial System

Macroprudential Bank Capital Regulation in a Competitive Financial System Macroprudential Bank Capital Regulation in a Competitive Financial System Milton Harris, Christian Opp, Marcus Opp Chicago, UPenn, University of California Fall 2015 H 2 O (Chicago, UPenn, UC) Macroprudential

More information

Economics and Finance

Economics and Finance Economics and Finance Lecture 17: Information efficiency and governance role of capital markets Luca Deidda DiSEA-Uniss 2014 Luca Deidda (DiSEA-Uniss) 2014 1 / 12 Plan Model of capital market with information

More information

PROBLEM SET 7 ANSWERS: Answers to Exercises in Jean Tirole s Theory of Industrial Organization

PROBLEM SET 7 ANSWERS: Answers to Exercises in Jean Tirole s Theory of Industrial Organization PROBLEM SET 7 ANSWERS: Answers to Exercises in Jean Tirole s Theory of Industrial Organization 12 December 2006. 0.1 (p. 26), 0.2 (p. 41), 1.2 (p. 67) and 1.3 (p.68) 0.1** (p. 26) In the text, it is assumed

More information

Solutions to Problem Set 1

Solutions to Problem Set 1 Solutions to Problem Set Theory of Banking - Academic Year 06-7 Maria Bachelet maria.jua.bachelet@gmail.com February 4, 07 Exercise. An individual consumer has an income stream (Y 0, Y ) and can borrow

More information

PhD Qualifier Examination

PhD Qualifier Examination PhD Qualifier Examination Department of Agricultural Economics May 29, 2014 Instructions This exam consists of six questions. You must answer all questions. If you need an assumption to complete a question,

More information

Chapter 7 Moral Hazard: Hidden Actions

Chapter 7 Moral Hazard: Hidden Actions Chapter 7 Moral Hazard: Hidden Actions 7.1 Categories of Asymmetric Information Models We will make heavy use of the principal-agent model. ð The principal hires an agent to perform a task, and the agent

More information

General Examination in Macroeconomic Theory SPRING 2016

General Examination in Macroeconomic Theory SPRING 2016 HARVARD UNIVERSITY DEPARTMENT OF ECONOMICS General Examination in Macroeconomic Theory SPRING 2016 You have FOUR hours. Answer all questions Part A (Prof. Laibson): 60 minutes Part B (Prof. Barro): 60

More information

Bank Capital, Agency Costs, and Monetary Policy. Césaire Meh Kevin Moran Department of Monetary and Financial Analysis Bank of Canada

Bank Capital, Agency Costs, and Monetary Policy. Césaire Meh Kevin Moran Department of Monetary and Financial Analysis Bank of Canada Bank Capital, Agency Costs, and Monetary Policy Césaire Meh Kevin Moran Department of Monetary and Financial Analysis Bank of Canada Motivation A large literature quantitatively studies the role of financial

More information

Risky Mortgages in a DSGE Model

Risky Mortgages in a DSGE Model 1 / 29 Risky Mortgages in a DSGE Model Chiara Forlati 1 Luisa Lambertini 1 1 École Polytechnique Fédérale de Lausanne CMSG November 6, 21 2 / 29 Motivation The global financial crisis started with an increase

More information

University of Konstanz Department of Economics. Maria Breitwieser.

University of Konstanz Department of Economics. Maria Breitwieser. University of Konstanz Department of Economics Optimal Contracting with Reciprocal Agents in a Competitive Search Model Maria Breitwieser Working Paper Series 2015-16 http://www.wiwi.uni-konstanz.de/econdoc/working-paper-series/

More information

Informational Frictions and the Life-Cycle Dynamics of Labor Market Outcomes

Informational Frictions and the Life-Cycle Dynamics of Labor Market Outcomes Informational Frictions and the Life-Cycle Dynamics of Labor Market Outcomes Georg Duernecker PRELIMINARY AND INCOMPLETE Abstract This paper studies the life-cycle dynamics of individual labor market outcomes.

More information

Graduate Microeconomics II Lecture 7: Moral Hazard. Patrick Legros

Graduate Microeconomics II Lecture 7: Moral Hazard. Patrick Legros Graduate Microeconomics II Lecture 7: Moral Hazard Patrick Legros 1 / 25 Outline Introduction 2 / 25 Outline Introduction A principal-agent model The value of information 3 / 25 Outline Introduction A

More information

Answer for Q1. a i : (b) So P I. P I i=1 e i: This can be regarded as the demand of the representative consumer with utility function P L

Answer for Q1. a i : (b) So P I. P I i=1 e i: This can be regarded as the demand of the representative consumer with utility function P L NSWERS nswer for Q (a) The budget constraint can be written as p (a i + x i ) p (a i + e i ): So, assuming an interior solution, the demand function is given by x i;` (p; e i ) = `p(a i+e i) a i : p` (b)

More information

INVESTMENT DYNAMICS IN ELECTRICITY MARKETS Alfredo Garcia, University of Virginia joint work with Ennio Stacchetti, New York University May 2007

INVESTMENT DYNAMICS IN ELECTRICITY MARKETS Alfredo Garcia, University of Virginia joint work with Ennio Stacchetti, New York University May 2007 INVESTMENT DYNAMICS IN ELECTRICITY MARKETS Alfredo Garcia, University of Virginia joint work with Ennio Stacchetti, New York University May 2007 1 MOTIVATION We study resource adequacy as an endogenous

More information