Monetary Policy and the Housing Bubble Jinill Kim et al. Discussant: Rudiger Ahrend The views expressed in this presentation are those of the author and.

Slides:



Advertisements
Similar presentations
Chapter 16 The Conduct of Monetary Policy: Strategy and Tactics.
Advertisements

1 Performance of the Israeli Economy and Bank of Israel Policy Challenges Bank of Israel Annual Report 2010 March 30, 2011.
Discussion of Michael Ehrmann’s “Targeting Inflation from Below: How Do Inflation Expectations Behave?” Reflections on 25 Years of Inflation Targeting.
Credit in monetary and (macro-) prudential policy by Claudio Borio Comments by Stefan Gerlach University of Frankfurt.
Inflation Targeting After the Financial Crisis Lars E.O. Svensson Sveriges Riksbank Speech at Reserve Bank of India’s International Research Conference.
Policy Imbalances and the Uneven Recovery John B. Taylor Conference on The Uneven Recovery: Emerging Markets versus Developed Economies Oct 14, 2011.
Turun kauppakorkeakoulu  Turku School of Economics REGIONAL DIFFERENCES IN HOUSING PRICE DYNAMICS: PANEL DATA EVIDENCE European Real Estate Society 19th.
The transmission mechanism of monetary policy Banco Central do Brasil conference: “One year of inflation targeting” 10th July 2000 Alec Chrystal Bank of.
The Zero Lower Bound, ECB Interest Rate Policy and the Financial Crisis Stefan Gerlach, IMFS, and John Lewis, DNB.
THE NEW ECONOMY: CHALLENGES FOR MONETARY POLICY José Viñals Banco de España and CEPR Brussels Economic Forum 3 May, 2001.
Towards an integrated macro-finance framework for monetary policy NBB Conference Brussels, 16 October Liquidity, inflation and asset prices in a.
Chapter 23 Transmission Mechanisms of Monetary Policy: The Evidence.
Discussion by Peter Englund Sveriges Riksbank, 12 November 2010 International developments in housing markets Philip Davis.
14-1 Money, Interest Rates, and Exchange Rates Chapter 14.
Chapter Ten Economic Growth and Business Cycles. Copyright © Houghton Mifflin Company. All rights reserved.10 | 2 A long-run trend in real GDP growth.
Copyright © 2010 Pearson Education. All rights reserved. Chapter 23 Transmission Mechanisms of Monetary Policy: The Evidence.
The Conduct of Monetary Policy: Strategy and Tactics
Governor Stefan Ingves Introduction on monetary policy Riksdag Committee on Finance 18 September 2012.
The ECB Survey of Professional Forecasters Luca Onorante European Central Bank* (updated from A. Meyler and I.Rubene) October 2009 *The views and opinions.
`` Presentation to the OECD policy Seminar: How to reduce debt costs in Southern Africa, Paris, 7 October 2004 Monetary Policy, Real Interest Rates and.
The Zero Lower Bound, ECB Interest Rate Policy and the Financial Crisis Stefan Gerlach and John LewisDiscussion Gert Peersman Ghent University.
Macroeconomic Forces Chapter 2. Characteristics of the Business Cycle 1. Fluctuations in aggregate business activity 2. Characteristic of a market driven.
Chapter 20 CONTROLLING FOR ORGANIZATIONAL PERFORMANCE © 2003 Pearson Education Canada Inc.20.1.
Sandy Lai Hong Kong University 1 Asset Allocation and Monetary Policy: Evidence from the Eurozone Harald Hau University.
Estimating Credit Demand in Croatia By Katja Gattin-Turkalj, Igor Ljubaj, Ana Martinis, Marko Mrkalj Discussant: K. Žigić Prague, Czech Republic.
Chapter 14: Monetary Policy  Objectives of U.S. monetary policy and the framework for setting and achieving them  Federal Reserve interest rate policy.
Security Analysis. Learning Goals Analyzing shares based on Economic, Industry and Fundamental of the company Analyzing shares to determine WHAT shares.
Asset Price Bubbles and Monetary Policy Pongsak Luangaram Chulalongkorn University December 2008.
1 11 The Aggregate Supply Curve The Aggregate Supply Curve: A Warning Aggregate Supply in the Short Run Shifts of the Short-Run Aggregate Supply Curve.
Monetary Policy for Aid-Receiving Countries Matías Vernengo.
Eesti Pank Bank of Estonia 15 years of currency board in Estonia Ülo Kaasik.
ICEG E uropean Center Factors and Impacts in the Information Society: Analysis of the New Member States and Associated Candidate Countries Pál Gáspár.
Copyright © 2009 Pearson Addison-Wesley. All rights reserved. Chapter 21 Monetary Policy Strategy.
Monetary Policy Challenges Posed by Asset Price Booms Stephen G. Cecchetti Rosenberg Professor of Global Finance.
Chapter 15: Monetary Policy
Topic 4:House Prices Reading 1: “Monetary Policy and House Prices: A Cross-Country Study” by Alan Ahearne, et al. IFDP 841. Federal Reserve Board (September.
Banking crises and recessions: What can leading indicators tell us? Dr. Martin Weale.
Offensive Defensive Monetary Policy
Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 12 Managing the Economy: Monetary Policy.
BANCO DE MEXICO Mexico’s Underlying Inflation. IntroductionIntroduction Methodology for calculating Underlying Inflation in México The Mexican Experience.
1 Taylor Rule and the Term Structure Objectives: 1.To understand the relation between central bank policy and long term interest rates. 2.Understand “news”
WEEK VIII Central Bank and Monetary Policy. W EEK VIII Modern monetary policy: inflation targeting Costs of inflation: Shoe-leather costs:    i  :
Euro and Macroeconomic Stability New Issues Arising from the 2008 Financial Crisis towards the Euro Adoption in the Czech Republic Vladimir Tomsik Board.
Why Do Countries Use Capital Controls? Prepared by R. Barry Johnston and Natalia T. Tamirisa - December 1998 Presented by: Alyaa Ezzat.
1 The Impact of Low Income Home Owners on the Volatility of Housing Markets Peter Westerheide ZEW European Real Estate Society Conference 2009 Stockholm.
The Relation Between Inflation and Regional Unemployment and Sectoral Income Growth Dispersion: Evidence From EU Countries David G Mayes Bank of Finland.
Comments on: Financial Development, Financial Fragility, and Growth by Norman Loayza and Romain Ranciere Graciela L. Kaminsky George Washington University.
Statistics: Unlocking the Power of Data Lock 5 STAT 101 Dr. Kari Lock Morgan Multiple Regression SECTION 10.3 Variable selection Confounding variables.
Competition and Inflation in CESEE: A Sectoral Analysis * Reiner Martin (ECB) Julia Wörz (OeNB) Dubrovnik, June 2011 *All views expressed are those of.
Federal Planning Bureau Economic analyses and forecasts Increasing uncertainties? A post-mortem on the Federal Planning Bureau’s medium-term.
Policies to Fight the Risk of Deflation Jeffery Amato BIS 17 November 2003.
Are Sovereign Ratings Informative? Comments on Cavallo, Powell and Rigobon Jeromin Zettelmeyer Research Department IMF * *Personal views. Need not reflect.
Comments on “Financial Innovation and Corporate Default Rates” by Maurer, Nguyen, Sarkar, and Wei Bill Keeton Federal Reserve Bank of Kansas City January.
Copyright © 2008 Pearson Addison-Wesley. All rights reserved. Chapter 19 What Macroeconomics Is All About.
Economics of International Finance Prof. M. El-Sakka CBA. Kuwait University Money, Banking, and Financial Markets : Econ. 212 Stephen G. Cecchetti: Chapter.
Chapter 1 Why Study Money, Banking, and Financial Markets?
The Optimal Monetary Policy Instrument versus Asset Price Targeting, and Financial Stability by CAE Goodhart, C Osorio and DP Tsomocos Discussant Mike.
Creating a Forecast Charles Steindel January 21, 2010 All views expressed are those of the author only and not necessarily those of the Federal Reserve.
Chapter 21 Aggregate supply, prices and adjustment to shocks
Transmission Mechanisms of Monetary Policy: The Evidence
The Conduct of Monetary Policy: Strategy and Tactics
Lecture 32: Monetary policy goals, strategy and tactics – part two
The Conduct of Monetary Policy: Strategy and Tactics
Chapter 11 – Monetary Policy and Debates
14 MONETARY POLICY Part 1.
Tristan Truuvert – UNSW School of Economics Honours Program
© 2016 Pearson Education Ltd. All rights reserved.19-1© 2016 Pearson Education Ltd. All rights reserved.19-1 Chapter 1 Why Study Money, Banking, and Financial.
John B. Taylor Stanford University January 8, 2000
John B. Taylor Stanford University January 8, 2000
Presentation transcript:

Monetary Policy and the Housing Bubble Jinill Kim et al. Discussant: Rudiger Ahrend The views expressed in this presentation are those of the author and do not necessarily reflect those of the OECD or its member countries.

Paper essentially does five things: 1.Claim that US monetary policy in was both more or less in line with Taylor rule, and with historic monetary policy reactions 2.Claim that monetary policy did only mildly contribute to US housing boom, and not above what would have been expected in standard models 3.Discuss international evidence of link between monetary policy and house prices 4.Examine other factors behind the US housing bubble 5.Discuss possibilities to prevent asset-price bubbles

US policy in line with Taylor rule? Using real time data does not get you close to Taylor rule, what is needed is the use of (wrong) FED inflation forecasts Data as of end-2003 with OECD forecasts To examine if interest rates matter for assets prices it is irrelevant whether having exceptionally low (“below Taylor”) interest rates was intentional or not.

“Business as usual”? Paper presents model-based evidence that US monetary policy reaction function in unchanged from historical reaction patterns. However, the change of the targeted inflation rate from CPI to PCE – that post-2000 was significantly lower- effectively implies a more accommodating monetary stance (i.e. “below Taylor”). See e.g. Orphanides and Wieland Actual interest rates being within a roughly 4 percentage point wide band around estimated “business as usual rates” is not overly convincing proof for “business a usual”. Monetary policy was strongly accommodative for fairly long time. “Business” as usual also contradicts impression of most observers.

Did monetary policy contribute to US housing bubble? Uses model and VAR analysis to show that monetary policy via traditional channels had some limited impact on housing prices, but can only explain small amount of observed price increases. That seems fair insofar as recent boom had also many other determinants However, strongly accommodative monetary policy for prolonged periods may have non-linear effects not fully captured in the models! Also, it is often argued that loose monetary policy together with other developments (as lack of effective oversight) may have multiplicative effects. P aper acknowledges possibility of such multiplicative effects, but does not control for them. Finally, communication that rates were low for a protracted period, and would only gradually increase: – basically was invitation for financial sector to leverage up, likely increasing amount of capital provided to housing finance – presumably led to larger initial downward effect from short to long rates (with link of housing activity may be stronger for long than for short rates) – Unfortunate that long rates are not used in the VAR => Lack of major potential channels throws doubt on results.

International evidence Looking at correlations for cross-country data of monetary policy with different measures of housing activity – CHARTS. IMF WEO has some charts for house prices, so depending on sample you apparently get stronger or less strong correlation. Correlations are stronger for housing activity indicators than for prices. Correlations are stronger when looking at euro area countries. In any case, simple correlations are just a first step as potentially many other variables affect housing activity (and especially housing prices). A full fledged econometric analysis would be required. Still, I find it amazing how well variables are correlated, especially for euro area.

Correlation could be spurious. However, hard to think of convincing candidates for variables that simultaneously strongly connected to housing market activity and deviations from Taylor-rule, and that itself would not be strongly influenced by monetary policy. Causation may go both ways. Strong housing activity may temporarily increase economic growth above trend, thus leading to output gap that would be reflected in Taylor-rates. However, while this would imply that monetary policy may not have had a role in setting off housing market buoyancy, it would nonetheless be largely responsible for its continuation by not reacting (strongly enough) to it. Simple presented evidence does not constitute final econometric proof for causal link from prolonged monetary ease to housing activity, but is however suggestive of it.

I also find econometric evidence for correlation of pre-crisis deviation from Taylor-rates with proxy for strength of financial crisis. This could reflect larger imbalances in countries with greater deviations from Taylor rates. – Even though regression results are strongly significant, final judgement on this issue will have to wait until we have better measures for the strength of the financial crisis across countries. Particularly interesting evidence that “below Taylor” rates in large US cities – which can probably be seen as equivalent to euro-area countries – were also related to strong housing activity. Would be nice to see more detail about methodology and results. Maybe some important lessons could be learned for euro area countries by looking at how US entities adjust to boom-bust cycles.

Other factors behind US housing bubble / Possibilities to prevent asset price bubbles Paper examines in detail other reasons behind US housing bubble. The calculations showing how much more individuals could borrow by using non-traditional types of mortgage products are really nice. While I think that monetary policy can contribute to asset price bubbles, this would not mean that it can always prevent them at acceptable costs. So I strongly agree with the conclusion of paper that trying to achieve two or three objectives with one tool is a bad idea, and that (macroprudential) regulation not only provides you with a second instrument, but also one which you can better dose against asset price bubbles.

Synthetic information concerning " below-Taylor " episodes

Deviation from Taylor rule versus depth of the financial crisis

Deviation from Taylor rule versus housing and construction investment in the OECD