* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download THe NK Approach to Exchange Rate Policy Analysis: Looking Forward
Leveraged buyout wikipedia , lookup
Systemically important financial institution wikipedia , lookup
Securitization wikipedia , lookup
Hedge (finance) wikipedia , lookup
Foreign-exchange reserves wikipedia , lookup
2010 Flash Crash wikipedia , lookup
Financial crisis of 2007–2008 wikipedia , lookup
Derivative (finance) wikipedia , lookup
Efficient-market hypothesis wikipedia , lookup
Purchasing power parity wikipedia , lookup
Exchange rate wikipedia , lookup
THe NK Approach to Exchange Rate Policy Analysis: Looking Forward Tommaso Monacelli - Università Bocconi, IGIER and CEPR The Transmission of International Shocks to Open Economies Reserve Bank of New Zealand, December 2010 NK analysis of optimal monetary policy in open economies (OE) I Fundamentally di¤erent from closed economy counterpart I Baseline SOE model has two features 1. complete exchange rate pass-through 2. frictionless (domestic/international) …nancial markets Optimal Monetary Policy in NK Models I Closed economy: in‡ation (markup) stabilization I Open economy: domestic markup stabilization is not e¢ cient 1. Via variations in international relative prices (terms of trade and/or real exchange rate), can improve upon the ‡exible-price allocation 2. General nature of openness: variations in relative prices can a¤ect consumption for any given level of output (and therefore labor e¤ort). Divine coincidence in the baseline model I Under log consumption utility, need special value of trade elasticity (=1) I Income and substitution e¤ects of terms of trade movements cancel out Literature I Clarida Galí and Gertler (2001), Devereux and Engel (2003), Benigno and Benigno (2003, 2006), Galí and Monacelli (2005), Corsetti and Pesenti (2001, 2005), Faia and Monacelli (2008), Corsetti et al. (2009), De Paoli (2009) I Recently 1. Engel (AER, 2010) 2. Corsetti, Dedola and Leduc (2010, Handbook chp.) Openness and optimal PPI in‡ation volatility Benchmark model (Faia and Monacelli 2008) Two deviations from the baseline model 1. Local Currency Pricing 2. Imperfect Financial Markets Local Currency Pricing Breaking the divine coincidence in OE: LCP stability of import prices I Deviations from the law of one price 1. At consumer level (Engel 010, CDL 010) (consumer-LCP) I Sources: (i) price stickiness ; (ii) local real factors (distribution costs) 2. At the dock Two main implications of "consumer LCP" 1. Should care about "currency misalignments" (Engel 2010) / law of one price gap (Monacelli, 2006) pF ,t ψt et et + pF ,t log Et !Deviations from the law of one price as endogenous cost-push shocks. π H ,t = βEt fπ H ,t +1 g + κ y yet +κ ψ ψF ,t |{z} |{z} output gap LOP gap 2. Should care about CPI in‡ation Quasi-divine coincidence? (CDL, 010) But "dock-LCP" even more pervasive 1. Import prices very sticky at the dock (Gopinath and Rigobon, 2007) 2. Stickiness of import prices higher for more di¤erentiated goods (G-R, 2007) 3. Import price rigidity has increased by 10 percentage points in 1994-2005 (G-R, 2007) 4. U.S. import prices with high frequency of price adjustment have a higher long-run pass-through (Gopinath and Itskhoki, 2009) 5. Pass-through of the average good priced in dollars is 25% vs. 95% for non-dollar priced Downward Trend in the Frequency of Price Adjustment I Decomposition (G-R 07) ∆P stickiness = ∆(N di¤er. goods) + ∆(P.stickiness di¤er. goods) It is NOT a Compositional Story 1. Main suspect: increased degree of stickiness in prices of di¤erentiated goods 2. Need a new story linking: " trade $ "price stickiness in di¤erentiated goods Some facts about exchange rates and asset prices in SOEs 1. Equity prices and real housing prices strongly co-move 2. Real ex. rates and housing prices (very) positively correlated 3. Real ex. rates and equity prices positively correlated, but less obvious across countries Real Exchange Rate Decomposition RER t = Et PT ,t PT ,t = RER T ,t (PT ,t /PN ,t )1 PT ,t /PN ,t ω 1 ω RER N ,t I Mechanical e¤ect of housing price variations on RER N ,t ? I Role of credit (booms) Imperfect Financial Markets Recent contributions I Benigno (2009), De Paoli (2010), Corsetti, Dedola and Leduc (Handbook chp. 2010), Devereux and Sutherland (2009) Financial imperfections in these papers !Financial autarky !Bond economy I Insight: "consumption imbalances" (CDL) generate wedge in the risk-sharing condition I Under some conditions, can exist a tradeo¤ between (i) domestic markup stabilization and (ii) "consumptionwedge" stabilization Quasi-divine coincidence again? I But in all cases, frictions assumed exogenously Looking forward 1. Making …nancial imperfections endogenous 2. An integrated approach to optimal policy analysis Two types of frictions 1. Limited commitment 2. Adverse selection I Both types of frictions can become endogenously binding Limited commitment I Typically at the core of models such as Kiyotaki and Moore (1997), Cooley, Marimon and Quadrini, Quadrini and Jermann (2009). I But also Bernanke and Gertler (1989), Bernanke, Gertler and Gilchrist (1999), Carlstrom and Fuerst I More recently: Christiano et al. (2008), Gertler and Kiyotaki (2010). Example for a SOE I Households ( Et Xt = Ct = ∞ ∑ βt U (X,t , Nt ) t =0 1 θ θ 1 θ 1 η η 1 η γ Ct + (1 α Ch,t + (1 ) 1 θ θ 1 θ 1 η η 1 η θ θ 1 γ) Dt α) Cf ,t η η 1 I Sequence of budget constraints: PC ,t Ct + PD ,t (Dt I Dt 1 (1 δ)) + Et Rt 1 Bt 1 = Wt Nt + Et Bt + τ t Limited commitment !Cannot commit today to repay tomorrow more than the expected value of collateral Rt Bt | {z } in foreign currency (1 χ ) Et PD ,t +1 Dt E t +1 A Simple Theory of the Credit Spread I Pseudo-Euler condition λt = βEt I λt +1 Rt E t +1 Et E¤ective real interest rate mt λe,t βe λe,t +1 + ψt λt Rt Et Credit spread st st E t +1 Et Et +1 ψt (Rt /Et ) = Rt Et 1 ψt (Rt /Et ) ψt E t +1 Rt Et Et /Rt ψt = Et mt Rt I Increasing in the shadow value of borrowing ψt I Increasing in the expected exchange rate depreciation Endogeneity of frictions 1. Value of collateral depends on asset price / ex. rate ‡uctuations 2. Borrowing constraint only occasionally binding Extensions (1) I Can add a portfolio problem: optimal share of borrowing in domestic/foreign currency Rt Bt Rt Bt I (1 (1 χ)Et fPD ,t +1 Dt g χ )Et PD ,t +1 Dt E t +1 Link to growing literature on portfolio choice in general equilibrium Devereux and Sutherland (2008), Tille and Van Wincoop (2008), Courdacier and Kollmann (2009). I Role of durables in trade (Engel and Wang 2010) Integrated approach to optimal policy I Current approach: optimal stabilization policy conditional on …nancial imperfections being in place !Idea: there is an optimal policy for normal times vs. optimal policy for turbulent times I But optimal policy in normal times should internalize that …nancial imperfections may become binding in the future I Avoid bening neglect of asset price booms + credit booms + bubbles I Business cycle literature of the crisis should learn more from the sudden stops literature I References: Mendoza (2010), Mendoza and Smith (2006) Adverse Selection I Especially relevant during the crisis I Focus: debt and liquidity in interbank markets Debt overhang Figure: Total Credit Market Debt Owed: US Sectors Debt markets subject to spirals Liquidity and cost of …nance I Spirals involve feedback e¤ects between the cost of …nance and liquidity in the interbank market I Liquidity = perceived safety of the assets traded in the market. I Holmstrom (2008): necessary condition for asset to be liquid is that market participants know its value. Ampli…cation I Bad news hit ! informational asymmetries become more acute ! Market participants cast doubts on the value of the assets I Two e¤ects 1. Asset prices fall 2. Asset liquidity shrinks =)Debt markets become "markets for lemons" (Tirole 2010) =)It’s adverse selection Banks I Some important elements 1. "Shadow banks" and interbank/repo market 2. Maturity mismatch and liquidity problem 3. The "right" …nancial shock Financial intermediaries ! Current crisis: key role of balance-sheet e¤ects of banks Key element in the crisis I Liquidity problem for "new" …nancial intermediaries traditional banks "investment" banks Assets long-term loans MBS Liabilities deposits short-term debt Boom of securitized products I Used as collateral in interbank/repo markets Fraction of AAA rated securities securitized products 60% corporate bonds 1% (source Fitch, 2007) Gigantic maturity mismatch I Banks held long-term assets (e.g., MBS) …nanced via short-term debt (e.g., commercial paper) I When things deteriorate it is the liquidity problem that matters The role of securitization I Diversi…es idiosyncratic risk, but increases sensitivity to aggregate risk The magic of securitization Coval, Jurek, and Sta¤ord (2010) I I Suppose two identical bonds, each with probability of NOT default = 0.9 ! prob. default = 1 0.9 = 0.1 NB: prob. default uncorrelated I Combine them in a CDO (collateralized debt obligation) 1. Junior tranche: pay if both tranches do not default 2. Senior tranche: defaults only if both default junior PAY 0.92 = 0.81 DEFAULT 1 0.81 = 0.19 senior 0.99 (1 0.9)2 = 0.01 I Result: credit enhancement for the senior tranche I "Side e¤ect": tranches become correlated even if underlying assets are not Dynamics of crisis Bad shock (what is this? ) =)Financial conditions deteriorate =)Lenders reduce exposure !Ask to service debt =)Banks try to …re sale long-term illiquid assets Liquidity friction I At least as crucial as borrowing friction I Is it "…re-sale per se" or is it "…re sale" of long-term illiquid assets"? ! Requires modelling of: (i) Interbank market (ii) Maturity of assets Sketch of a model with two ingredients I "Banks sudden stop" I Shock to haircut margins Agents I Savers cs ,t + dt = rtd 1 dt |{z} 1 + wt deposits I Entrepreneurs ce,t + qt (ke,t ke,t 1) + rtl (m )lt (m ) | 1 m l rt m k∑ =1 (1 k (m )lt k (m ) χ)Et fke,t +m {z collateral constraint = lt (m ) | {z } long-term loans 1 qt +m g } +yt Banks I Commercial banks bt + Φ(bt ) = dt Banks (con’t) I Investment banks V (bt 1 , lt k , γt ) = max [xt + βx Et fV (bt , lt , γt +1 )g] xt = bt + 1 m l rt m k∑ =1 xt ,b t ,lt k (m )lt k (m ) lt (m ) s.t. haircut constraint: rtb bt |{z} short-term borrowing I (1 γt ) lt (m) | {z } haircut shock Banks’sudden stop: haircut constraint becomes (endogenously) binding