Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16...

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Egon & Joan von Kaschnitz Lecture

Transcript of Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16...

Page 1: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Egon & Joan von Kaschnitz Lecture

Page 2: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

A Case for An Integrated Policy Framework (IPF)

Clausen Center Conference on Global Economic IssuesNovember 16, 2019

Gita GopinathEconomic Counsellor

Page 3: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Roadmap

• Current issues in emerging market capital flows

• A case study: Indonesia

• Countries’ experience and characteristics

• Key modeling ingredients and preliminary results

• Policy and practical challenges

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Page 4: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

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Sept. 19

Sources: Haver Analytics; IMF, GFSR October 2019; and IMF staff estimates.

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Large inflows to EMs partly driven by global factors

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Equity: China

Equity: excl. China

Debt

U.S. fed funds target rate (percent; rhs)

FCI (rhs)

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Tighten

Nonresident portfolio flows to EMs(U.S. billions; three-month rolling sums)

Change in EMBIG spreads and its drivers(basis points)

Page 5: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Sources: IMF, GFSR April 2019. 3

Growing benchmark driven investments has also increased the sensitivity of portfolio flows to global factors

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US interest rates (10-year Treasury) Risk aversion (BBB spread)

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ReversalsEM benchmark drivenOther (for example, hedge funds, global bond benchmarks)

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Estimated foreign holdings of local currency sovereign debt (share of total in percent)

Sensitivity of benchmark-driven debt flows to global factors(percent of invested assets)

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Sustained capital inflows contribute to the build-up of vulnerabilities

Sources: Cecchetti, Mancini, Narita, and Sahay (2019). Non-US financial institutions.

Change in asset-to-equity ratio followingUS monetary policy easing (in percent)

Source: IMF, FFA database. 4

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Cumulative portfolio debt Cumulative portfolio equity19Q2

Portfolio inflows to EMs(U.S. billions)

Page 7: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Sources: ESR (2019), Benetrix, Gautam, Juvenal and Schmitz (2019) and Carrier-Swallow, Gruss, Magud and Valencia (2016).

1/ Simple cross-country averages of 18 EMEs included in the External Sector Report are reported. Net FC measures size of the external balance sheet scaled by GDP.

EMs more resilient to currency movements than in the past

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Liabilities in local currency Liabilities in foreign currency

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Selected EMDEs: Assets and liabilities by currency 1/(percent of GDP)

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Import content

Advanced economies Emerging markets

Estimated exchange rate pass-through (percent)

Page 8: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

A case study: Indonesia (i)

Source: IIF, Haver Analytics and IMF staff estimates 6

Two main episodes of sudden stops in capital inflows: Taper tantrum (Q2-Q3, 2013) and 2018 EM stress (Q2 2018)

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International reserves (billion USD)IDR/USD (right scale)

International Reserves and Exchange Rate

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Debt Equity Standardized Flows

Indonesia - Portfolio Equity & Debt Flows(LHS in USD Million; RHS standardized values)

Page 9: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

A case study: Indonesia (ii)

Source: Haver, Analytics; CEIC; IMF staff calculations 7

Policy responses include FX intervention, rate hikes as well as macroprudential measures

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Credit Growth and Macroprudential Policy (In percent and index, y-o-y growth rate)

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Page 10: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Sources: Alam and Others (2019); Haver Analytics; Bloomberg, L.P.; IMF, Balance of Payments; and IMF staff estimates.8

Policy rates changes since March 2018(percentage points)

Foreign exchange intervention, March-October 2018(cumulative; percent of GDP)

Number of macroprudential and capital flow management measures, 2010-11(number of measures)

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BRA CHL COL IDN IND MYS PER POL RUS ZAF

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Advanced markets Emerging markets

Outflow EpisodeInflow Episode

Countries have used various policy tools for macro management

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Country characteristics vary along several dimensions

Sources: Gopinath (2016); IMF staff calculations; and BIS.

Currency of export invoicing (percent of total)

Non-financial corporate foreign currency debt(in percent of GDP; 2018)

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Page 12: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Countries with higher external debt tend to intervene more

Albania

Argentina

Armenia

Brazil

Chile

Colombia

Georgia

Hungary

India

Jamaica

Kazakhstan

MalaysiaMexico

Mongolia

ParaguayPeru

Philippines

Poland

Romania

Russia

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Turkey

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Uruguay

Indonesia

y = 5.76x + 30.11

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Page 13: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Key Modeling Ingredients

Policy Options

• Monetary policy/Exchange rate flexibility

• FX intervention

• Macroprudential policy

• Capital flow management measures

Country Characteristics

• Currency of trade invoicing

• Commodity export share

• Financial frictions

Shocks

• Real: Productivity, Commodity price

• Financial: World interest rate, Debt limit, Capital flows

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Page 14: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Country Characteristics Matter• Example:– Three different countries– Same risk-off shock → Appetite for country’s debt and net capital

flows decline

• Country A:– No financial frictions– Deep FX markets → No or very limited effectiveness of FXI

• Country B:– Borrows in FX → Significant currency mismatches– Deep FX markets → No or very limited effectiveness of FXI

• Country C:– Borrows in FX → Significant currency mismatches– Shallow FX markets → FXI effective

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Page 15: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Country A: No financial frictions

• No reason to limit ER adjustment after negative shock → Mundell-Flemming

• If DCP: ER flexibility less potent in stabilizing economy → still Mundell-Flemming

• No role for heterodox policies– They do not address the source of imperfect stabilization (sticky dollar prices).

• Just because you have an instrument does not mean you should use it.

t = 0 t = 1

Shock hitsOutput gap closedMonetary policy lets ER

adjust

t = 0 t = 1

Shock hitsOutput gap not fully closed

Monetary policy lets ER adjust

Exports ↑

Exports ↔

Imports ↓

Imports ↓

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Page 16: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Country B: Currency mismatches + Deep FX markets

• Exchange rate depreciations have negative balance sheet effects

• FXI would help if effective, but limited traction (deep markets) → MP to limit ER depreciation

• CFM and macroprudential policies (t=0) can limit mismatches and improve outcomes.– Less need to stimulate the economy (since less overborrowing)– Less need to defend the exchange rate (since lower currency mismatches)

• DCP → higher CFMs, because of larger ER movements for trade reasons.

• Policy tools interact in complex ways. Hence, we need an integrated model.

t = 0 t = 1

Shock hitsConflicting impact on output gap

MP contains ER changesNegative balance sheet effects

Imports ↓ Exports ↑

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Page 17: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Country C: Currency mismatches + Shallow FX markets

• FXI effective because of shallow FX markets• MP freed up

• → FXI limit ER depreciation/MP stabilize domestic demand

• Again, macroprudential measures and CFMs can improve outcomes.

t = 0 t = 1

Shock hitsOutput gap partially closed

FXI limits ER depreciation/MP cuts

interest rate Limited balance sheet effects

Stimulate domestic demand

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Page 18: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Preliminary insights1. Not just the number but the workings of instruments matter

• Not all instruments affect all imperfections• Instruments typically affect multiple imperfections

2. PCP countries receive full benefits from exchange rate flexibility

3. Since exchange rate adjustment is a weaker tool, DCP countries achieve less macro stabilization and may need larger exchange rate movements. DCP alone does not change the M-F prescription

4. Prudential capital controls become optimal when there is a possibility of not being able to borrow. DCP countries impose higher capital controls because of the larger exchange rate movements desired based on trade considerations

5. FX intervention can increase monetary autonomy when foreign exchange markets are shallow and monetary transmission channel is at least partially functional

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Page 19: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

Additional Policy and Practical Challenges • Governance and credibility

• Use of multiple tools may be difficult to coordinate across separate policy authorities• If multiple tools/mandates housed at the central bank, need to carefully design

communication strategy to avoid undermining monetary policy credibility

• Moral hazard and market development

• Expectation of policy interventions may stimulate excessive risk-taking and/or hinder the long-term development of FX markets and government institutions

• Challenges in estimating effectiveness of the policy tools for different shocks and country characteristics

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Page 20: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

What is the IPF?

Shocks Cyclical/Structural Characteristics

Policies

Growth and Stability

Linking Shocks, Characteristics, Policies and Objectives

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Page 21: Egon & Joan von Kaschnitz Lecture · -160-140-120-100-80-60-40-20 0 20 40 60 10 11 12 13 14 15 16 17 18 19 Global Domestic Sept. 19 Sources: Haver Analytics; IMF, GFSR October 2019;

CONFERENCE ON GLOBAL ECONOMIC ISSUES