Advanced Macroeconomics Lecture 14 Financial Accelerator
|
|
|
- Penelope Gilmore
- 9 years ago
- Views:
Transcription
1 Advanced Macroeconomics Lecture 14 Financial Accelerator Marcin Bielecki June 6, 2016
2 To motivate interest in a paper on financial factors in business fluctuations it used to be necessary to appeal either to the Great Depression or to the experiences of many emerging market economies. This is no longer necessary. Gertler and Kiyotaki (2009)
3 Financial frictions Crisis detected important channels of the monetary/credit transmission mechanism Matter for our understanding of driving forces in the economy Place discussion of financial variables within a consistent framework Paramount when dealing with issues related to financial stability Interactions between macroprudential and monetary policy Brunnermeier, Eisenbach and Sannikov (2012) Macroeconomics with Financial Frictions: A Survey
4 Cetral banks DSGE models General equilibrium models with financial frictions before the financial crisis Kiyotaki and Moore (1997), Bernanke, Gertler and Gilchrist (1999), Iacoviello (2005) Financial frictions were absent from DSGE models at central banks at the time of the financial crisis Usual simplifications of financial mechanisms Modigliani-Miller theorem holds balance sheet positions do not affect real decisions Financial markets state summarized by one interest rate No heterogeneity (in terms of discounting) no borrowing and lending in equilibrium Feedback from financial markets to real economy hard to analyze Many central banks have now implemented financial frictions/spillovers in core DSGE models
5 Shortcomings of standard DSGE models Linear framework (Taylor expansions around steady state) Abstracts from nonlinearities, higher order effects of risk/uncertainty Not suitable for analyzing precautionary saving/hoarding Or movements in asset prices, where risk is an important factor Rational expectations Make the existence of bubbles unlikely Analyzing non-fundamental developments is hard
6 Financial market frictions Due to asymmetric information (combined with moral hazard and/or costly state verification), lenders will generally require that borrowers post collateral and/or pay a credit premium to obtain funding. Starting with Akerlof (1970), there is a large literature on optimal financial contracts that link the net worth (balance sheet) of borrowers to their access to credit Since net worth is determined by assets in place, movements in asset prices will determine agents access to credit When asset values increase, the borrower s stake in the project increases, implying that the incentives to default decreases, leading in turn the lender to reduce the finance premium Establishes direct link between asset prices and credit Hence, financing costs become countercyclical, which will strengthen the effects of a given shock
7 Costly state verification Townsend (1979), Bernanke and Gertler (1989), Carlstrom and Fuerst (1997), Bernanke, Gertler and Gilchrist (1999), Christiano, Motto and Rostagno (2003, 2005, 2014) Entrepreneurs borrow funds to finance risky projects Project outcome is known ex post to the entrepreneur only information assymetry If the project outcome is low entrepreneur defaults on the loan But successful entrepreneurs are temped to default as well moral hazard Verification of the project success by outsiders is costly Optimal contract: fixed rate loan, verification in case of default Endogenous premium on loans
8 Bernanke, Gertler and Gilchrist (1999) model New Keynesian model with entrepreneurial sector which requires external funding to invest in new projects Entrepreneurs identical up to an idiosyncratic productivity shock a E Funds provided by intermediary sector financed from household deposits Asymmetric information, costly state verication (Townsend, 1979) External finance premium (credit premium) is a decreasing function of the share of project financed by net worth (equity) Net worth equals retained profits by surviving entrepreneurs Gives rise to a financial accelerator mechanism
9 Households Utility maximization problem ( ) max E 0 β t ct 1 σ 1 σ φ h1+η t 1 + η subject to t=0 P t c t + D t + P t g t = W t h t + R t 1 D t 1 + Div t Lagrangian L = E 0 FOCs t=0 β t [ c 1 σ t 1 σ φ h1+η t 1+η +λ t [w t n t + (R t 1 /Π t ) d t 1 + div t c t d t g t ] c t : ct σ = λ t h t : φht η = λ t w t d t : λ t = βe t [λ t+1 (R t /Π t+1 )] ] Define Λ t,t+j = λ t+j /λ t
10 Final goods producers Profit maximization problem under perfect competition Resulting in max P t y t ˆ 1 0 P t (i) y t (i) di (ˆ 1 subject to y t = y t (i) 1 µ di 0 )µ y t (i) = P t = ( Pt (i) P t (ˆ 1 0 ) µ 1 µ yt P t (i) 1 1 µ di )1 µ
11 Intermediate goods producers I Cost minimization problem min subject to w t h t (i) + r k,t k t 1 (i) y t (i) = z t k t 1 (i) α h t (i) 1 α Resulting in w t = mc t (1 α) z t kt 1h α t α r k,t = mc t αz t k α 1 t 1 h1 α t
12 Intermediate goods producers II Profit maximization problem Resulting in [( ) ] max E 0 (βθ) t p0 (i) Λ 0,t mc t y t (i) t=0 ( p0 (i) subject to y t (i) = Π 0,t Π 0,t ) µ 1 µ yt p 0 (i) = µ E 0 t=0 (βθ)t λ t mc t y t Π p t = µ Num t Den t µ µ 1 0,t E 0 t=0 (βθ)t λ t y t Π 1 µ 1 0,t Num t = λ t mc t y t + βθe t Π µ µ 1 t+1 Num t+1 Den t = λ t y t + βθe t Π 1 µ 1 t+1 Den t+1
13 Inflation, price dispersion, policies and shocks Π 1 1 µ t = θ + (1 θ) ( p t Π t ) 1 1 µ t = θ t 1 Π µ µ 1 t + (1 θ) p µ 1 µ t y t = z t kt α ht 1 α / t ln g t = (1 ρ g ) ln (ḡ/ȳ) + ρ g ln g t 1 + ε g,t R t = R γ R t 1 ( R ( Πt Π ln z t = ρ z ln z t 1 + ε z,t ) γπ ( yt ȳ ) γy ) 1 γr exp (ε R,t)
14 Capital goods producers Profit maximization problem max E 0 β t Λ 0,t [q t (k t (1 δ) k t 1 ) i t ] t=0 subject to k t = (1 δ) k t 1 + ( 1 κ 2 ( ) ) 2 it 1 i t i t 1 where q t = Q t /P t is the real price of capital goods and κ measures cost of adjusting investment [ ( L = E 0 β t Λ 0,t q t 1 κ ( ) ) ] 2 it 1 i t i t 2 i t 1 t=0 Resulting in ( 1 =q t 1 κ ( ) 2 ( ) it it it 1 κ 1 2 i t 1 i t 1 [ ( ) ( ) ] 2 λ t+1 it+1 it+1 + βe t q t+1 κ 1 λ t i t i t i t 1 )
15 Capital goods producers Profit maximization problem max E 0 β t Λ 0,t [q t (k t (1 δ) k t 1 ) i t ] t=0 subject to k t = (1 δ) k t 1 + ( 1 κ 2 ( ) ) 2 it 1 i t i t 1 where q t = Q t /P t is the real price of capital goods and κ measures cost of adjusting investment [ ( L = E 0 β t Λ 0,t q t 1 κ ( ) ) ] 2 it 1 i t i t 2 i t 1 t=0 Resulting in ( 1 =q t 1 κ ( ) 2 ( ) it it it 1 κ 1 2 i t 1 i t 1 [ ( ) ( ) ] 2 λ t+1 it+1 it+1 + βe t q t+1 κ 1 λ t i t i t i t 1 )
16 Entrepreneurs I Take loans to finance purchases of raw capital L t (j) = Q t k t (j) V t (j) 0 where L t (j) denotes loan and V t (j) net worth of j-th entrepreneur Entrepreneurs transform raw capital k t (j) into productive capital a E,t+1 (j) k t (j) Assume E [a E ] = 1 Gross return on capital R E,t+1 (j) = R k,t+1a E,t+1 (j) k t (j) + Q t+1 (1 δ) a E,t+1 (j) k t (j) Q t k t (j) R E,t+1 = R k,t+1 + Q t+1 (1 δ) R E,t+1 (j) = a E,t+1 (j) R E,t+1 Q t
17 Entrepreneurs II Optimal contract: loan size L t (j) and gross non-default interest rate R L,t+1 ã E,t+1 R E,t+1 Q t k t (j) = R L,t+1 L t (j) Entrepreneurs with a E below the threshold level go bankrupt All their resources are taken over by the banks, after they pay proportional monitoring costs ψ.
18 Banks Perfect competition in banking generates zero profits where (1 F t+1 ) R L,t+1 L t + (1 ψ) G t+1 R E,t+1 Q t k t = R t L t Equivalently F t+1 = G t+1 = ˆ ãe,t+1 0 ˆ ãe,t+1 0 df t+1 (a E ) a E df t+1 (a E ) R E,t+1 Q t k t [ã E,t+1 (1 F t+1 ) + (1 ψ) G t+1 ] = R t L t
19 Optimal contract Entrepreneur return on equity maximization max [ ] ã E E,t+1 [R E,t+1 Q t k t (j) a E R L,t+1 L t (j)] df t+1 (a E ) t R t V t (j) subject to constraint on banks zero profits Resulting in (derivation skipped) [ R E,t+1 R E t [1 ã E,t+1 (1 F t+1 ) G t+1 ] + t 1 F t+1 1 F t+1 ψã E,t+1 F t+1 [ RE,t+1 R t (ã E,t+1 (1 F t+1 ) + (1 ψ) G t+1 ) 1 ] ] = 0 where if ψ = 0 then E t [R E,t+1 ] = R t frictionless financial markets Optimal contract is summarized by leverage ratio ϱ t = (Q t k t ) /V t and threshold value ã E,t+1 Resulting gross interest rate on loan is R L,t+1 = ãe,t+1r E,t+1 ϱ t ϱ t 1
20 Closing the model Net worth evolution V t = v Output acounting [ R E,t Q t 1 k t 1 ( R t 1 + ψg ) ] tr E,t Q t 1 k t 1 L t 1 + T E L t 1 c t + i t + g t + ψg t R E,t Q t 1 k t 1 = y t
21 Monetary policy shock
22 Technology shock
23 Government spending shock
24 Net worth shock
25 Core message Due to asymmetric information lenders will generally require that borrowers post collateral and/or pay a credit premium to obtain funding BGG use a simple optimal contracting framework to highlight the interaction between financial strength (net worth) and the credit premium In particular, the credit premium will vary inversely with net worth Hence, to the extent that net worth is procyclical, movements in credit premia will amplify business cycle fluctuations This is the financial accelerator Hints at the role of asset prices in the transmission mechanism
26 Limitations Rudimentary treatment of banking sector, mainly passive supplier. However, the recent credit freeze can be traced back to financial intermediation Assuming risk neutral agents. Aggregate risk does not really matter Ignores alternative sources of risk spread (risk aversion, liquidity) Rational expectations. Rules out fluctuations due to non-fundamental movements Many firms have alternative means of financing. The share of firms dependent on bank finance might not be that significant Household credit affecting consumption might be more important.
the transmission channels of monetary policy the fragility of the nancial system the existence of nancial cycles
1 The macroeconomic consequences of nancial imperfections the transmission channels of monetary policy the fragility of the nancial system the existence of nancial cycles the real eects of nancial intermediation
The Financial Accelerator and the Optimal Lending Contract
The Financial Accelerator and the Optimal Lending Contract Mikhail Dmitriev and Jonathan Hoddenbagh First Draft: August 23 This Version: February 24 Job Market Paper In the financial accelerator literature
Topic 2. Incorporating Financial Frictions in DSGE Models
Topic 2 Incorporating Financial Frictions in DSGE Models Mark Gertler NYU April 2009 0 Overview Conventional Model with Perfect Capital Markets: 1. Arbitrage between return to capital and riskless rate
Discussion of Capital Injection, Monetary Policy, and Financial Accelerators
Discussion of Capital Injection, Monetary Policy, and Financial Accelerators Karl Walentin Sveriges Riksbank 1. Background This paper is part of the large literature that takes as its starting point the
Financial Intermediation and Credit Policy in Business Cycle Analysis. Mark Gertler and Nobuhiro Kiyotaki NYU and Princeton
Financial Intermediation and Credit Policy in Business Cycle Analysis Mark Gertler and Nobuhiro Kiyotaki NYU and Princeton Motivation Present a canonical framework to think about the current - nancial
Financial Development and Macroeconomic Stability
Financial Development and Macroeconomic Stability Vincenzo Quadrini University of Southern California Urban Jermann Wharton School of the University of Pennsylvania January 31, 2005 VERY PRELIMINARY AND
Lecture 1. Financial Market Frictions and Real Activity: Basic Concepts
Lecture 1 Financial Market Frictions and Real Activity: Basic Concepts Mark Gertler NYU June 2009 0 First Some Background Motivation... 1 Old Macro Analyzes pre versus post 1984:Q4. 1 New Macro Analyzes
Discussion of Gertler and Kiyotaki: Financial intermediation and credit policy in business cycle analysis
Discussion of Gertler and Kiyotaki: Financial intermediation and credit policy in business cycle analysis Harris Dellas Department of Economics University of Bern June 10, 2010 Figure: Ramon s reaction
How To Understand How A Crisis In Financial Intermediation Can Be Resolved
Financial Intermediation and Credit Policy in Business Cycle Analysis Mark Gertler and Nobuhiro Kiyotaki N.Y.U. and Princeton October 29 This version: March 21 Abstract We develop a canonical framework
Capital Constraints, Lending over the Cycle and the Precautionary Motive: A Quantitative Exploration (Working Paper)
Capital Constraints, Lending over the Cycle and the Precautionary Motive: A Quantitative Exploration (Working Paper) Angus Armstrong and Monique Ebell National Institute of Economic and Social Research
the actions of the party who is insured. These actions cannot be fully observed or verified by the insurance (hidden action).
Moral Hazard Definition: Moral hazard is a situation in which one agent decides on how much risk to take, while another agent bears (parts of) the negative consequences of risky choices. Typical case:
Financial Intermediation and Credit Policy. Business Cycle Analysis
Financial Intermediation and Credit Policy In Business Cycle Analysis Mark Gertler and Nobuhiro Kiyotaki NYU and Princeton October 29 Old Motivation (for BGG 1999) Great Depression Emerging market crises
Real Business Cycle Theory. Marco Di Pietro Advanced () Monetary Economics and Policy 1 / 35
Real Business Cycle Theory Marco Di Pietro Advanced () Monetary Economics and Policy 1 / 35 Introduction to DSGE models Dynamic Stochastic General Equilibrium (DSGE) models have become the main tool for
Financial Intermediation and Credit Policy in Business Cycle Analysis
Financial Intermediation and Credit Policy in Business Cycle Analysis 06/2011 Introduction Motivation Environment Model Household Banks Non Financial firms Equillibrium Policies Calibration and Simulation
FINANCIAL DOMINANCE MARKUS K. BRUNNERMEIER & YULIY SANNIKOV
Based on: The I Theory of Money - Redistributive Monetary Policy CFS Symposium: Banking, Liquidity, and Monetary Policy 26 September 2013, Frankfurt am Main 2013 FINANCIAL DOMINANCE MARKUS K. BRUNNERMEIER
René Garcia Professor of finance
Liquidity Risk: What is it? How to Measure it? René Garcia Professor of finance EDHEC Business School, CIRANO Cirano, Montreal, January 7, 2009 The financial and economic environment We are living through
The global financial crisis which began in the
What is responsible for the easing of credit standards before the crisis: monetary policy or the savings glut? Adrian Penalver Monetary and Financial Analysis Directorate This letter presents the findings
4. Only one asset that can be used for production, and is available in xed supply in the aggregate (call it land).
Chapter 3 Credit and Business Cycles Here I present a model of the interaction between credit and business cycles. In representative agent models, remember, no lending takes place! The literature on the
Margin Regulation and Volatility
Margin Regulation and Volatility Johannes Brumm 1 Michael Grill 2 Felix Kubler 3 Karl Schmedders 3 1 University of Zurich 2 Deutsche Bundesbank 3 University of Zurich and Swiss Finance Institute Workshop:
In ation Tax and In ation Subsidies: Working Capital in a Cash-in-advance model
In ation Tax and In ation Subsidies: Working Capital in a Cash-in-advance model George T. McCandless March 3, 006 Abstract This paper studies the nature of monetary policy with nancial intermediaries that
ECON4335 The economics of banking Lecture 12, 20/4-2010: Bank regulation Crisis handling, Lender-Borrower Relationship
ECON4335 The economics of banking Lecture 12, 20/4-2010: Bank regulation Crisis handling, Lender-Borrower Relationship Bent Vale, Norges Bank Views and conclusions are those of the lecturer and can not
Small Business Borrowing and the Owner Manager Agency Costs: Evidence on Finnish Data. Jyrki Niskanen Mervi Niskanen 10.11.2005
Small Business Borrowing and the Owner Manager Agency Costs: Evidence on Finnish Data Jyrki Niskanen Mervi Niskanen 10.11.2005 Abstract. This study investigates the impact that managerial ownership has
The Real Business Cycle Model
The Real Business Cycle Model Ester Faia Goethe University Frankfurt Nov 2015 Ester Faia (Goethe University Frankfurt) RBC Nov 2015 1 / 27 Introduction The RBC model explains the co-movements in the uctuations
VI. Real Business Cycles Models
VI. Real Business Cycles Models Introduction Business cycle research studies the causes and consequences of the recurrent expansions and contractions in aggregate economic activity that occur in most industrialized
International Monetary Policy
International Monetary Policy 2 Preliminary concepts 1 Michele Piffer London School of Economics 1 Course prepared for the Shanghai Normal University, College of Finance, April 2011 Michele Piffer (London
Current Accounts in Open Economies Obstfeld and Rogoff, Chapter 2
Current Accounts in Open Economies Obstfeld and Rogoff, Chapter 2 1 Consumption with many periods 1.1 Finite horizon of T Optimization problem maximize U t = u (c t ) + β (c t+1 ) + β 2 u (c t+2 ) +...
6. Budget Deficits and Fiscal Policy
Prof. Dr. Thomas Steger Advanced Macroeconomics II Lecture SS 2012 6. Budget Deficits and Fiscal Policy Introduction Ricardian equivalence Distorting taxes Debt crises Introduction (1) Ricardian equivalence
Financial Institutions I: The Economics of Banking
Financial Institutions I: The Economics of Banking Prof. Dr. Isabel Schnabel Gutenberg School of Management and Economics Johannes Gutenberg University Mainz Summer term 2011 V4 1/30 I. Introduction II.
MA Advanced Macroeconomics: 7. The Real Business Cycle Model
MA Advanced Macroeconomics: 7. The Real Business Cycle Model Karl Whelan School of Economics, UCD Spring 2015 Karl Whelan (UCD) Real Business Cycles Spring 2015 1 / 38 Working Through A DSGE Model We have
Final. 1. (2 pts) What is the expected effect on the real demand for money of an increase in the nominal interest rate? How to explain this effect?
Name: Number: Nova School of Business and Economics Macroeconomics, 1103-1st Semester 2013-2014 Prof. André C. Silva TAs: João Vaz, Paulo Fagandini, and Pedro Freitas Final Maximum points: 20. Time: 2h.
A Model of Financial Crises
A Model of Financial Crises Coordination Failure due to Bad Assets Keiichiro Kobayashi Research Institute of Economy, Trade and Industry (RIETI) Canon Institute for Global Studies (CIGS) Septempber 16,
Essays on Macroeconomic Consequences of Financial Frictions
Essays on Macroeconomic Consequences of Financial Frictions Inaugural-Dissertation zur Erlangung des Grades eines Doktors der Wirtschafts- und Gesellschaftswissenschaften durch die Rechts- und Staatswissenschaftliche
Real Business Cycle Models
Phd Macro, 2007 (Karl Whelan) 1 Real Business Cycle Models The Real Business Cycle (RBC) model introduced in a famous 1982 paper by Finn Kydland and Edward Prescott is the original DSGE model. 1 The early
Mortgage Refinancing in
Mortgage Refinancing in Search Equilibrium A master s thesis by Ran Wang This thesis is submitted for the degree of Master in Economics (QEM) Autonomous University of Barcelona, Department of Economics
Chapter 17 Corporate Capital Structure Foundations (Sections 17.1 and 17.2. Skim section 17.3.)
Chapter 17 Corporate Capital Structure Foundations (Sections 17.1 and 17.2. Skim section 17.3.) The primary focus of the next two chapters will be to examine the debt/equity choice by firms. In particular,
Aggregate Risk and the Choice Between Cash and Lines of Credit
Aggregate Risk and the Choice Between Cash and Lines of Credit Viral Acharya NYU Stern School of Business, CEPR, NBER Heitor Almeida University of Illinois at Urbana Champaign, NBER Murillo Campello Cornell
Bank and Sovereign Debt Risk Connection
Bank and Sovereign Debt Risk Connection Matthieu Darraq Paries European Central Bank Diego Rodriguez Palenzuela European Central Bank Ester Faia Frankfurt University and CFS First draft: December 212.
= C + I + G + NX ECON 302. Lecture 4: Aggregate Expenditures/Keynesian Model: Equilibrium in the Goods Market/Loanable Funds Market
Intermediate Macroeconomics Lecture 4: Introduction to the Goods Market Review of the Aggregate Expenditures model and the Keynesian Cross ECON 302 Professor Yamin Ahmad Components of Aggregate Demand
Long-Term Debt Pricing and Monetary Policy Transmission under Imperfect Knowledge
Long-Term Debt Pricing and Monetary Policy Transmission under Imperfect Knowledge Stefano Eusepi, Marc Giannoni and Bruce Preston The views expressed are those of the authors and are not necessarily re
ECON20310 LECTURE SYNOPSIS REAL BUSINESS CYCLE
ECON20310 LECTURE SYNOPSIS REAL BUSINESS CYCLE YUAN TIAN This synopsis is designed merely for keep a record of the materials covered in lectures. Please refer to your own lecture notes for all proofs.
Financial predictors of real activity and the financial accelerator B
Economics Letters 82 (2004) 167 172 www.elsevier.com/locate/econbase Financial predictors of real activity and the financial accelerator B Ashoka Mody a,1, Mark P. Taylor b,c, * a Research Department,
Module 7: Debt Contracts & Credit Rationing
Module 7: Debt Contracts & Credit ationing Information Economics (Ec 515) George Georgiadis Two Applications of the principal-agent model to credit markets An entrepreneur (E - borrower) has a project.
Review of Economic Dynamics
JID:YREDY AID:694 /FLA [m3g; v1.143-dev; Prn:17/12/2014; 15:14] P.1 1-24) Review of Economic Dynamics ) Contents lists available at ScienceDirect Review of Economic Dynamics www.elsevier.com/locate/red
Inflation. Chapter 8. 8.1 Money Supply and Demand
Chapter 8 Inflation This chapter examines the causes and consequences of inflation. Sections 8.1 and 8.2 relate inflation to money supply and demand. Although the presentation differs somewhat from that
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Suvey of Macroeconomics, MBA 641 Fall 2006, Final Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) Modern macroeconomics emerged from
ECONOMIC AND MONETARY DEVELOPMENTS
Box 6 SMALL AND MEDIUM-SIZED ENTERPRISES IN THE EURO AREA: ECONOMIC IMPORTANCE AND FINANCING CONDITIONS This box reviews the key role played by small and medium-sized enterprises (SMEs) in the euro area
A systemic approach to home loans: Continuous workouts vs. fixed rate contracts (Shiller et al., 2014)
A systemic approach to home loans: Continuous workouts vs. fixed rate contracts (Shiller et al., 2014) Discussion Cristian Badarinza EFA Meeting, Lugano, August 2014 Summary 1. Unexpected house price declines
Keynesian Macroeconomic Theory
2 Keynesian Macroeconomic Theory 2.1. The Keynesian Consumption Function 2.2. The Complete Keynesian Model 2.3. The Keynesian-Cross Model 2.4. The IS-LM Model 2.5. The Keynesian AD-AS Model 2.6. Conclusion
On Moral Hazard and Macroeconomics
On Moral Hazard and Macroeconomics Roger B. Myerson Brigham Young University March 2012 "A model of moral-hazard credit cycles" Journal of Political Economy 120(5):847-878 (2012). "On Keynes and the theory
Capital Regulation, Monetary Policy and Financial Stability
WORKING PAPER NO: 12/28 Capital Regulation, Monetary Policy and Financial Stability October 2012 Pierre-Richard AGÉNOR Koray ALPER Luiz Pereira da SILVA Central Bank of the Republic of Turkey 2012 Address:
Monetary policy effects on bank risk taking. Working Paper Research. by Angela Abbate and Dominik Thaler. No 287. September 2015
Monetary policy effects on bank risk taking Working Paper Research by Angela Abbate and Dominik Thaler September 2015 No 287 Editor Jan Smets, Governor of the National Bank of Belgium Statement of purpose:
Money and Banking Prof. Yamin Ahmad ECON 354 Fall 2005
Money and Banking Prof. Yamin Ahmad ECON 354 Fall 2005 Midterm Exam II Name Id # Instructions: There are two parts to this midterm. Part A consists of multiple choice questions. Please mark the answers
THE IMPACT OF MACROECONOMIC FACTORS ON NON-PERFORMING LOANS IN THE REPUBLIC OF MOLDOVA
Abstract THE IMPACT OF MACROECONOMIC FACTORS ON NON-PERFORMING LOANS IN THE REPUBLIC OF MOLDOVA Dorina CLICHICI 44 Tatiana COLESNICOVA 45 The purpose of this research is to estimate the impact of several
Graduate Macroeconomics 2
Graduate Macroeconomics 2 Lecture 1 - Introduction to Real Business Cycles Zsófia L. Bárány Sciences Po 2014 January About the course I. 2-hour lecture every week, Tuesdays from 10:15-12:15 2 big topics
Expected default frequency
KM Model Expected default frequency Expected default frequency (EDF) is a forward-looking measure of actual probability of default. EDF is firm specific. KM model is based on the structural approach to
THE FINANCIAL ACCELERATOR IN A QUANTITATIVE BUSINESS CYCLE FRAMEWORK*
Chapter 21 THE FINANCIAL ACCELERATOR IN A QUANTITATIVE BUSINESS CYCLE FRAMEWORK* BEN S. BERNANKE, MARK GERTLER and SIMON GILCHRIST Princeton University, New York University, and Boston Unicersity** Contents
Vol 2014, No. 10. Abstract
Macro-prudential Tools and Credit Risk of Property Lending at Irish banks Niamh Hallissey, Robert Kelly, & Terry O Malley 1 Economic Letter Series Vol 2014, No. 10 Abstract The high level of mortgage arrears
Capital Structure. Itay Goldstein. Wharton School, University of Pennsylvania
Capital Structure Itay Goldstein Wharton School, University of Pennsylvania 1 Debt and Equity There are two main types of financing: debt and equity. Consider a two-period world with dates 0 and 1. At
