Terms of Trade Shocks and Investment in Commodity-Exporting Economies Jorge Fornero Markus Kirchner Andrés Yany Research Division Central Bank of Chile XXXII Economist Meeting of the Central Bank of Peru The views expressed are those of the authors and do not necessarily represent official positions of the Central Bank of Chile or its Board members. Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies / 7
Motivation In recent years we have seen the expansive phase of a commodity price cycle. However, Growth in emerging economies is slowing down with possible negative effects on commodity prices. Besides, monetary policy in the US is expected to be normalized soon Commodity exporters may be vulnerable to fall in prices This boom has been beneficial for commodity exporters: Mining investment has surged Spending and aggregate demand has increased and that boosted GDP growth rates above OECD average Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies / 7
Commodity price indexes and Chilean ToT (5=) 5 5 5 5 5 5 98Q 984Q 988Q 99Q 996Q Q 4Q 8Q Q IMF real metal price index Real copper price index IMF real commodity price index Chilean terms of trade Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 3 / 7
Mining investment share in selected countries (% of nominal GDP) 8 8 6 6 4 4 986Q4 99Q4 994Q4 998Q4 Q4 6Q4 Q4 Australia Canada Chile New Zealand Peru South Africa Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 4 / 7
Objective Analyze in a broad perspective the macroeconomic effects of commodity price shocks in small commodity exporters, focusing on metals prices and their propagation through sectoral investment Two different methodologies to study these developments: a SVAR analysis and a DSGE model Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 5 / 7
Literature Two major strands of the literature Time series methods (such as SVARs) Bernanke et al.(997), Blanchard and Galí(7), Kilian (8,9), Kilian and Lewis (), Lombardi et al.(), Baumeister and Peersman (3), Gubler and Hertweck (3) and Filardo and Lombardi (4) DSGE models Kilian et al.(9), Tober and Zimmermann (9), Bodenstein et al.() and Bodenstein et al.() However, most of them have focused on oil price shocks in developed countries and/or net commodity importers with a few exceptions Medina et al.(8), Desormeaux et al.(), Kumhof and Laxton (), Knop and Vespignani (4) and Malakhovskaya and Minabutdinov (4) Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 6 / 7
Contribution We study the impact of commodity price shocks on sectoral investment in commodity-exporting economies based on a SVAR approach We augment an otherwise standard New Keynesian SOE model with a commodity sector by an endogenous production structure to analyze the transmission channels and policy implications of commodity price shocks Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 7 / 7
Summary of results Cross-country analysis: The higher the share of metal commodity exports, the larger the effects on real GDP Expansionary effects are driven by mining investment, which increases with delay Real copper price shock has been a key driver in real investment and GDP growth after the mid-s in Chile Investment in commodities is mainly driven by sectoral shocks (productivity developments and commodity prices), but not by policy rules However, in general, flexible inflation targeting, floating exchange rates and structural fiscal rules are essential to efficiently manage commodity price volatility Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 8 / 7
SVAR analysis Estimate structural VAR for Australia, Canada, Chile, New Zealand, Peru and South Africa All countries approached as small open economies Specification: one lag for parsimony and control for quadratic trends in data Exogenous block (4 variables): real world GDP, annual US CPI inflation rate, US federal funds nominal rate, real commodity price Domestic endogenous block (7 variables): real GDP, nominal mining and non-mining investment (% nominal GDP), annual CPI inflation rate, annual nominal interest rate, real exchange rate, CA (% nominal GDP) Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 9 / 7
SVAR cross-country comparison: impulse responses (A) LOG REAL COMMODITY PRICE (B) LOG REAL GDP 7 5 6 4 5 3 4 3 - - - 5 5 5 3 35 4 5 5 5 3 35 4 (C) NON-COMMOD. INVESTMENT (% GDP, NOMINAL) 3.5.5.5 -.5 - -.5 5 5 5 3 35 4 Quarters.4..8.6.4. -. (D) COMMODITY INVESTMENT (% GDP, NOMINAL) 5 5 5 3 35 4 Quarters Australia Canada Chile New Zealand Peru South Africa 5553354 Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies / 7
SVAR cross-country comparison: impulse responses (A) INFLATION (%, y-o-y) (B) ANNUAL NOMINAL INTEREST RATE (%).5.5.5 -.5 -.5.5 -.5 - -.5 -.5-5 5 5 3 35 4-5 5 5 3 35 4 (C) LOG RER (D) CURRENT ACCOUNT (% GDP, NOMINAL) 5 5 4 3-5 - -5 - - - 5 5 5 3 35 4-3 5 5 5 3 35 4 Quarters Quarters Australia Canada Chile New Zealand Peru South Africa 5553354 Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies / 7
Chile: comparison of impulse responses under persistent and transitory shocks 6 (A) LOG REAL COMMODITY PRICE (B) LOG REAL GDP 5 4.5 3.5-5 5 5 3 35 4 -.5 5 5 5 3 35 4 (C) NON-COMMOD. INVESTMENT (% GDP, NOMINAL) (D) COMMODITY INVESTMENT (% GDP, NOMINAL)...5..8.5 Quarters.6.4 Quarters.. -.5 -. 5 5 5 3 35 4 -. 5 5 5 3 35 4 Quarters Quarters Transitory shock Persistent shock Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies / 7
Main findings from SVAR analysis across countries Commodity price shocks are relatively persistent with positive delayed responses of mining investment Investment in non-commodity sectors Countries with important share in commodity exports: positive spillovers from investment in commodity (Chile, Peru and South Africa) Countries with a more diversified trade structure: fall in non-commodity investment (Canada and New Zealand) Other results: local currencies appreciate in the short run and CA balances deteriorate in the medium term The persistence of commodity price shocks is crucial for the size and persistence of responses Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 3 / 7
DSGE model for Chile We extend the DSGE model for Chile of Medina and Soto (7), which has similar structure to: Smets and Wouters (3) Christiano et al. (5) Adolfson et al. (7) Specific features of the Chilean economy: Commodity (copper) sector S comprises one firm partially owned by the government with share χ. The remaining share belongs to foreign investors. Government taxes foreign commodity profits Gov t expenditure follows a structural balance fiscal rule Dynamics of foreign variables described by the external block of the SVAR model for Chile Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 4 / 7
Commodity sector s problem (S) Cobb-Douglas production function Y S,t = a S,t T η S t K η S S,t where a S,t is exogenous and measures the specific technology shock and T t is the trend. Define gross profits: Π S,t = P S,t Y S,t P C,t T t κ S, where κ S are fixed costs of production The firm maximizes cash flows CF S,t = Π S,t P IS,tI S,t max E t i= Λ t,t+i CF S,t+i P C,t+i, Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 5 / 7
Capital accumulation [ ( )] XS,t n+ K S,t = ( δ S )K S,t + Φ S X X S,t n+ S,t n where X S,t n+ are investment projects in t n+ and Φ S ( ) is an adjustment convex cost function Capital accumulation is slow in sector S: Convex costs to start investment projects (CEE, 5) We assume time to build (Kydland and Prescott, 98; Uribe and Yue, 6): between the start of the project and capital installation to become productive last n periods Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 6 / 7
Investment Effective investment flow in period t is n I S,t = ϕ j X S,t j, j= where ϕ j is the project s share that are at j =,...,n periods of its completion, with n j= ϕ j = The relevant investment bundle combines both domestic and foreign goods I S,t = [ η IS γi S I H,t (S) ] ηis η IS +( γ IS ) η IS I F,t (S) η IS η IS Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 7 / 7
Optimality From FOC: K S,t : Q S,t P C,t = E t Λ t,t+ X S,t : ϕ P IS,t P C,t +ϕ E t Q S,t+ P C,t+ ( δ S ) + P S,t+A S FK S (T t+,k S,t ) S P C,t+ { Λ t,t+ P IS,t+ P C,t+ + +ϕ n E t { Λ t,t+n P IS,t+n = E t Λ t,t+n Q S,t+n P C,t+n +Λ t,t+n Q S,t+n P C,t+n Φ S { P IS,t+ }+ϕ E t Λ t,t+ } P C,t+n ( ) XS,t ( X) S,t Φ XS,t XS,t S X S,t X ( )( S,t XS,t+ XS,t+ Φ S X S,t X S,t ) P C,t+ Persistent commodity price shocks generate additional investment in sector S Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 8 / 7 }
Structural fiscal rule The fiscal rule determines gov t spending depending on the structural balance ( ) εt B P G,t G t G,t = (+it )Θ t P Y,t Y t + τt P Y,t Ȳt P Y,t Y t +χ CF S,t P Y,t Y t P Y,t Y t +τ S ( χ) Π S,t δ S Q S,t K S,t P Y,t Y t VCt P Y,t Y t Target P Y Y P G,tζ G,t T t P Y,t Y t where χ is the Gov t share of the mining sector s cash flow and τ S is a commodity tax rate VC t = [χ+τ S ( χ)]y S,t ε t (PS,t P S,t ) is the copper price cyclical adjustment. It increases if the effective price is higher than the reference price P S,t Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 9 / 7
Impulse responses to commodity price shock (5%) with low and high persistence LOG REAL FOREIGN GDP FOR. INFLATION (%, y-o-y) ANNUAL NOM. FOR. INT. RATE (%).5.5.3..5..5..5..5.5..5..5 3 4 3 4 3 4 LOG REAL COMMOD. PRICE LOG REAL GDP NON-COMMOD. INV. (% GDP) 6 6 4 8 6 4 4-3 4-3 4-3 4 COMMOD. INV. (% GDP) TOBIN'S Q COMMOD. CURRENT ACCOUNT (% GDP) 3 3 5 5 - - 3 4-5 3 4-3 4.5 -.5 - -.5 - INFLATION (%, y-o-y) ANNUAL NOM. INT. RATE (%) LOG RER - - -4 - -6-3 4 3 4 3 4 Quarters Quarters Quarters Transitory shock Persistent shock Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies / 7
Historical decomposition of real investment growth 5 5 5 5-5 -5 - - -5-5 - - Q3 3Q 4Q3 6Q 7Q3 9Q Q3 Q 3Q3 Real commodity price shock Other foreign shocks Other shocks Total Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies / 7
Historical decomposition of real GDP growth 3 3 - - - - -3-3 -4-4 -5-5 Q3 3Q 4Q3 6Q 7Q3 9Q Q3 Q 3Q3 Real commodity price shock Other foreign shocks Other shocks Total Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies / 7
Historical decompositions Most of the above-average investment growth in Chile in 4- is explained by commodity price shocks The investment boom seems to have come to an end after influenced by lower commodity prices 3 Regarding real GDP growth, commodity price shocks have been equally important. Their contribution gradually diminish Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 3 / 7
Counterfactual policy analysis of different rules LOG REAL GDP LOG REAL PRIV. CONSUMPTION NON-COMMOD. INV. (% GDP) 5 8 6 8 6 5 4 4 3 4 3 4-3 4 COMMOD. INV. (% GDP) GOV. BUDGET BALANCE (% GDP) CURRENT ACCOUNT (% GDP) 4 8 4 3 6 4 - - 3 4-3 4-4 3 4 INFLATION (%, y-o-y) ANNUAL NOM. INT. RATE (%) LOG RER 5 5 5-5 -5-5 - 3 4 3 4 3 4 Quarters Quarters Quarters Benchmark Balanced budget fiscal rule RER target Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 4 / 7
Policy insights Monetary and fiscal policy rules do not majorly affect investment decisions in the commodity sector, which are mainly driven by sectoral productivity developments and commodity prices Real GDP response is smaller in the benchmark case: flexible inflation targeting, floating exchange rates and structural fiscal rules are essential to limit the effects of commodity price volatility on output Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 5 / 7
Conclusions Our results suggest expansionary effects of commodity price increases in countries with an important share of commodity exports, driven by positive responses of commodity investment that spill over to non-commodity sectors The size of the macroeconomic responses to commodity shocks depends strongly on the persistence of the shock Commodity price fluctuations have been a significant driving force of the investment cycle in Chile Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 6 / 7
Terms of Trade Shocks and Investment in Commodity-Exporting Economies Jorge Fornero Markus Kirchner Andrés Yany Research Division Central Bank of Chile XXXII Economist Meeting of the Central Bank of Peru The views expressed are those of the authors and do not necessarily represent official positions of the Central Bank of Chile or its Board members. Fornero & Kirchner & Yany Terms of Trade Shocks and Investment in Commodity-Exporting Economies 7 / 7