Current State and Future of Japanese Economy (with Appendix)
Transcription
Current State and Future of Japanese Economy (with Appendix)
Current State and Future of Japanese Economy August 31st, 2016 Mitsumaru Kumagai Senior Managing Director Deputy Head of Research Division Chief Economist Daiwa Institute of Research Ltd. Japanese Economic Research Talking Points I. How will Brexit Effect Japan’s Economy? Ⅱ. Understanding risk of China’s bubble bursting: Optimistic in short-term, pessimistic in long-term III. Main Economic Scenario for Japan: Moderate Recovery Seen ・Our main economic scenario sees a moderate recovery for Japan’s economy, however, risk of a downturn due to overseas factors remains. -Domestic economy: Positive factors include ① Growth in real wages, ② Low price of crude oil and improvement in terms of trade, and ③ The Abe administration’s economic policies. However, danger of a downturn in the overseas economy remains, especially for China. Ⅳ. Fruits of Abenomics and Challenges Remaining: Labor Market Reform Especially Key ・Fundamental Reform of Social Security System and Strengthening the Third Arrow (Growth Strategy) ・ Distribution of Benefits of Abenomics: more detailed attention needs to be given to nonmanufacturing industry, small business, residents of regional areas, and younger people of childrearing age. Ⅴ.Risk Factors Facing Japanese Economy ① China’s economic downturn ② Turmoil in emerging markets associated with U.S. exit strategy ③ Progression of risk-off behaviors (strengthening of yen / stock price lows) due to geopolitical risk ④ UK withdrawal from the EU and deleveraging by EU financial institutions Ⅵ. Outlook for Financial Markets Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 1 Real Growth: 0.9% for FY16, 0.9% for FY17 Japan's Economic Outlook (latest figures available; y/y %) FY14 FY15 FY16 (E) FY17 (E) FY14 1H Real GDP Domestic demand* -0.9 0.8 FY15 2H 1H FY16 2H 0.9 0.9 -0.9 -1.0 1.3 0.4 FY17 1H (E) 2H (E) 1H (E) 2H (E) 0.5 1.3 1.2 0.5 -1.6 0.8 1.0 0.6 -1.0 -2.1 1.0 0.4 0.5 1.5 1.0 0.2 Foreign demand* 0.6 0.1 -0.1 0.2 0.3 1.3 0.3 -0.1 -0.0 -0.2 0.1 0.2 Private consumption -2.9 -0.2 0.6 0.6 -2.6 -3.1 0.2 -0.6 0.3 0.8 0.5 0.6 -11.7 2.4 4.9 -3.0 -7.6 -15.5 1.3 3.4 6.1 3.7 -4.4 -1.7 Private non-housing investment 0.1 2.1 0.1 1.1 1.0 -0.8 2.0 2.1 0.5 -0.3 1.0 1.3 Government consumption 0.1 1.6 1.9 1.7 -0.2 0.4 1.2 1.9 2.3 1.6 1.5 1.9 -2.6 -2.7 7.9 -3.3 -1.5 -3.3 0.6 -5.0 -1.6 15.1 11.5 -12.8 Exports of goods and services 7.9 0.4 0.1 4.6 6.5 9.2 2.5 -1.7 -0.8 0.9 4.4 4.8 Imports of goods and services 3.4 -0.0 0.7 4.0 5.5 1.4 1.2 -1.2 -0.7 2.1 4.2 3.8 1.5 2.2 1.6 1.3 1.2 1.8 2.9 1.6 1.2 2.0 1.8 0.9 -0.8 -0.4 0.1 0.9 -0.1 -1.6 0.1 -0.9 -0.4 0.6 0.9 0.9 1.5 2.5 -0.3 2.2 2.5 0.7 3.1 2.0 -0.5 -0.1 2.1 2.3 Index of All Industry Activity -1.1 0.9 0.6 1.1 -0.9 -1.2 1.4 0.1 0.2 0.9 1.1 1.2 Index of Industrial Production -0.5 -1.0 0.0 2.0 1.2 -2.0 -0.6 -2.2 -1.0 1.0 2.0 2.1 Index of Tertiary Industry Activity -1.1 1.3 0.7 0.9 -1.4 -0.8 1.9 0.7 0.5 0.9 0.9 0.9 Consumer Price Index (excl. fresh foods) 2.8 -0.0 -0.1 0.8 3.2 2.4 0.0 -0.0 -0.4 0.1 0.7 0.9 Corporate Goods Price Index 2.8 -3.2 -2.2 0.6 4.2 1.4 -2.9 -3.6 -3.6 -0.7 0.7 0.5 GDP Deflator 2.4 1.4 0.7 0.5 2.2 2.7 1.6 1.2 0.7 0.7 0.6 0.3 109.9 120.1 103.2 101.5 103.0 116.8 121.8 118.4 104.8 101.5 101.5 101.5 80.5 45.0 44.8 44.5 100.1 60.9 52.2 37.9 45.1 44.5 44.5 44.5 Private housing investment Public investment Nominal GDP Private consumption Private non-housing investment Y/$ Crude oil price ($/bbl; WTI) Source: Cabinet Office. E: DIR estimates. * contribution to real GDP growth; % pt. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 2 Estimation of Brexit’s Effects on Japan’s Economy Case (1) Repercussions in Same Class as Global Financial Crisis of 2008 Case (2) Using IMF Estimates Rate of Decrease in TOPIX 0% Rate of Decrease in TOPIX -5% -10% -15% -20% -25% -0.85% -0.88% -0.91% -0.94% -0.96% -0.99% 5% -0.90% -0.92% -0.95% -0.98% -1.01% -1.04% 10% -0.94% -0.97% -1.00% -1.03% -1.06% -1.09% 15% -0.99% -1.02% -1.05% -1.08% -1.11% -1.14% 20% -1.05% -1.08% -1.11% -1.14% -1.17% -1.20% Yen-Dollar Rate of Increase Yen-Dollar Rate of Increase 0% 0% -5% -10% -15% -20% -25% 0% -0.07% -0.09% -0.12% -0.15% -0.18% -0.21% 5% -0.12% -0.15% -0.17% -0.20% -0.23% -0.26% 10% -0.17% -0.20% -0.23% -0.26% -0.28% -0.31% 15% -0.23% -0.26% -0.28% -0.31% -0.34% -0.37% 20% -0.29% -0.32% -0.35% -0.38% -0.41% -0.44% Source: Simulation using DIR short-term macro model. Notes: 1) Figures show extent to which Japan’s real GDP would be forced downwards in comparison to the benchmark (average values of four quarters after occurrence). 2) Case (1) Repercussions in the same class as the global financial crisis of 2008 (worldwide real GDP declines by -1.3%) Case (2) Case using IMF estimates (worldwide real GDP declines by -0.04%). 3) Figures in red frames represent cases in which all financial markets experience the same extent of effects felt immediately after the beginning of the global financial crisis of 2008 (Oct-Dec period of 2008 recorded yen appreciation of 14% against the dollar and a 21% decline of the TOPIX index). Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 3 Effects of Brexit and Non-Performing Loans in Italy are Minor Effect on World Economy via Financial Markets if UK Real Estate Prices Collapse due to Brexit Amount Changed in UK Bank Lending Deleverage Ratio UK Real Estate Prices Plunge Due to Brexit (Outbreak of Deleveraging at UK Banks) 30% 50% 100% Total Domestic Overseas Bil.EUR Bil.EUR Bil.EUR -35 -58 -114 -19 -32 -64 Percentage Changed in UK GDP Percentage Changed in World GDP Percentage Changed in Japan's GDP % % % -15 -25 -50 -0.25 -0.41 -0.81 -0.03 -0.05 -0.10 -0.02 -0.04 -0.07 Source: EBA, BOE, BIS; Compiled by DIR. Note 1: Lending amount consists of the amount in foreign and domestic claims according to BIS consolidated banking statistics. Note 2: This is a hypothetical case in w hich it is assumed that a collapse in real estate prices along the same lines as the global economic crisis of 2008 occurs in the UK as a result of Brexit. Estimated values show the result of deleveraging w hich occurs after the crisis according to our assumptions as a means of improving the equity ratio. Effect on World Economy via Financial Markets if Large-Scale Disposal of Non-Performing Loans Occurs in Italy Amount Changed in Italian Bank Lending Deleverage Ratio Italian Real Estate Prices Plunge Due to Disposal of Non-Performing Loans (Outbreak of Deleveraging at Italian Banks) 30% 50% 100% Total Domestic Overseas Percentage Changed in Italian GDP Bil.EUR Bil.EUR Bil.EUR % -73 -117 -224 -56 -90 -172 -17 -27 -52 Percentage Changed in World GDP Percentage Changed in Japan's GDP % % -0.64 -1.02 -1.95 -0.04 -0.07 -0.13 -0.03 -0.05 -0.09 Source: EBA, BOE, BIS; Compiled by DIR. Note 1: Lending amount consists of the amount in foreign claims and domestic debt according to BIS consolidated banking statistics. Note 2: This chart assumes that disposal of non-performing loans takes place in Italy, causing damage to net w orth. Estimated values show the result of deleveraging w hich occurs after the crisis according to our assumptions as a means of improving the CET 1 ratio so that it w ill reach the level of other countries. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 4 A Financial Crisis in the EU Could Cause a Decline of 2.7% in World GDP and 1.9% in Japan’s GDP Effects of Overload Experienced by EU Financial Institutions on World Economy Via Financial Markets Amount Changed in Lending Deleverage Ratio Total Bil.EUR Case in w hich EU Financial Institutions Experience Overload (Adverse Scenario According to EBA Stress Test) Scenario ① Equity Ratio Recovers to End-2015 Level Scenario ② Equity Ratio Improves Half as Much as in Scenario① Scenario ③ Equity Ratio Improves a Quarter as Much as in Scenario ① Domestic Bil.EUR Overseas Bil.EUR Percentage Changed in World GDP Percentage Changed in Japan's GDP % % 100% -3,453 -2,310 -1,142 -2.7 -1.9 50% 30% 100% 50% 30% 100% 50% 30% -1,882 -1,224 -2,034 -1,068 -671 -1,118 -573 -353 -1,259 -818 -1,361 -714 -448 -747 -383 -236 -623 -405 -674 -354 -222 -370 -190 -117 -1.5 -1.0 -1.6 -0.8 -0.5 -0.9 -0.4 -0.3 -1.0 -0.7 -1.1 -0.6 -0.4 -0.6 -0.3 -0.2 Source: EBA, BIS; Compiled by DIR. Note 1: Lending amount is the amount in foreign and domestic claims according to BIS consolidated banking statistics. Note 2: EBA stress test 2016 lists follow ing stress items: ① Unw inding of risk premium expansion on global capital markets, ② Earnings deteriorate in banking and insurance industry due to continuation of low -grow th, low -interest environment, ③ Amplification of concerns regarding debts held by public institutions and non-financial private sector corporations, ④ Problem spreads to rapidly expanding shadow banking sector. Note 3: Scenario ① assumes adverse scenario according to EBA stress test 2016 in w hich the equity ratio as of end FY2018 improves to around the level seen around end 2015. Scenario ② assumes that CET 1 ratio improves about half as much as in Scenario ①, and Scenario ③ assumes that it improves about a quarter as much. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 5 Environment Surrounding China’s Economy (image) ◎ Financial Excess:1000 tril yen ? ◎ Capital Stock Excess: 550 tril yen? ◎ Fiscal Stimulus Margin: 600-800 tril yen ? Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 6 China Has 1000 Tril Yen in Excessive Lending China’s Total Social Financing (% of GDP) (%) 220 214% 200 4 tril yuan package of emergency measures in the wake of the global financial crisis 180 160 963tril yen 140 120 2002-2008 Trendline 100 80 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 (CY) Source: People’s Bank of China, National Bureau of Statistics of China; compiled by DIR. Assumption: Outstanding balance of total social financing as of end-Dec 2001 to be 1.1 times bank lending. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 7 China Has Over 550 Tril Yen in Excess Capital Stock Changes in China’s Capital Coefficient 3.8 3.4 3.2 1996-2013 Average = 2.78 1979-89 Average = 2.67 3.6 1952-66 Average = 1.93 3.0 1990-95 Average = 2.64 1967-78 Average = 2.50 2.8 2.6 2.4 Amount in Real Capital Stock Surplus 27 tril yuan 2.2 2.0 1.8 1.6 1979 Reform and OpeningUp Policy 1966 Cultural Revolution 1.4 1989 Tiananmen 1995 Globalization Square Massacre 1.2 52 56 60 64 68 72 76 80 84 88 92 96 00 04 08 12 (CY) Source: National Bureau of Statistics of China, CEIC, Haver Analytics, World Bank; compiled by DIR. Notes: 1) Capital coefficient = real capital stock / real GDP 2) Figures from the year 2010 are used for both real capital stock and real GDP. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 8 China Has a Fiscal Stimulus Margin of 600-800 Tril Yen General Government Debt-to-GDP Ratio (2014) (%) 300 250 246 200 177 150 G5 (Minus Japan) 90% 100 GIIPS (Minus Greece) 118% 132 105 90 50 95 109 130 98 41 73 90% Case China2 China1 China Spain Portugal Ireland Italy Greece France Germany United Kingdom Japan United States 0 Total Debt Total 43 tril Debt yuan 32 tril Increase yuan Increase 118% Case Source: IMF; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 9 Economic Scenarios for China Outlook for China's GDP Growth Rate (Y/y, %) 2015 2016 2017 2018 2019 2020 ① S tandard S cenario 7.0 6.8 6.6 6.5 6.5 6.3 ② C apitalS tock A djustm ent S cenario 6.8 2.8 0.7 0.9 1.2 3.2 ③ M eltdow n S cenario 6.8 0.0 -4.4 -8.4 -3.6 -1.7 S ource:C om piled by D IR Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 10 ③ Meltdown Scenario: Potential Growth Rate Falls to 1.6% China: Factors Contributing to Real GDP Growth (annualized) (Real GDP Growth Rate: Annual Rate %) 14 Reform and Opening-Up Policy 12 Globalization Dependence on Excessive Capital Investment 10 Cultural Revolution 8 6 Meltdown (Est) 4 2 0 -2 1953-66 1967-78 Technology 1979-89 Capital 1990-95 Labor 1996-2011 2012-15 2020 Real GDP Growth Rate Source: CEIC, World Bank; compiled by DIR. Note: Major events: 1966 – The Cultural Revolution, 1978 - Reform and Opening-Up Policy, 1989 – Tiananmen Square Massacre Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 11 Can Policy Measures Prop Up China’s Economy in the Short-Term? China: Business Cycle Signal Index ⑫ (% ) ⑩⑪⑬ 25 (Points) ① 160 Overhea ting 140 ② ③ Business Cycle Sig na l Index (left) ⑤⑥ ④ ⑧ ⑦ ⑨ Som ewhat overheating 120 100 80 Stabilizing ⑰ ⑱ Som ewha t sta g na ting 10 ⑲ Sta g na ting Basic loan rate (right) 20 ⑯ 15 60 40 ⑭ ⑮ 5 Deposit reserve ra te (rig ht) 20 0 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 (CY) 1. Apr 2004: Restrictions on aggregate loans strengthened 2. Oct 2007: Restrictions on aggregate loans strengthened 3. Oct 2008: Restrictions on aggregate loans eased 4. Nov 2008: Stimulus package of 4 tril yuan announced 5. Apr 2010: Real estate regulations strengthened 6. Jun 2010: More flexible regime for control of yuan exchange rate 7. Oct 2010-Jul 2011: Period of loan rate hikes 8. From Dec 2011: A series of deposit reserve rate low ering moves began 9. From Jun 2012: A series of loan rate cuts began 10. Nov 2014: Loan rate cuts 11.Feb 2015: A series of deposit reserve rate lowering moves began 12.Mar 2015: Loan rate cuts 13.Apr 2015: A series of deposit reserve rate low ering moves began 14.May 2015: Loan rate cuts 15.Jun 2015: Loan rate cuts A series of deposit reserve rate low ering moves began 16. Jul 2015: Price keeping operation 17. Aug 2015: Reserve deposit rate cut, interest rates low ered 18. Oct 2015: Reserve deposit rate cut, interest rates low ered 19. Feb 2016: Reserve deposit rate cut, Source: National Bureau of Statistics of China, People’s Bank of China, CEIC Data; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 12 China’s Housing Prices Showing Signs of Bottoming Out China’s 70-City New Home Price Index 200 (Number of Cities) (y/y, %) 20 70-City New Home Price Index 150 10 ? 100 0 50 -10 0 -20 -50 -30 Number of Cities Rising – Number of Cities Falling on housing price index (m/m) -100 10 11 12 13 14 -40 15 Source: National Bureau of Statistics of China; compiled by DIR. Note: The 70-City New Home Price Index is the simple average value of home prices in 70 cities. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 16 (CY) 13 Sign of Recovery in Production Real Exports and Industrial Production ( 2010=100) 110 Indices of Industrial Production 105 100 95 90 Real Export Index 85 80 2010 11 12 13 14 15 16 (CY) Note: Shaded areas represent periods of economic decline. Most recent two months of industrial production uses values from METI’s production forecast survey. Source: BOJ and METI; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 14 Positive Factor ①: Wages making a comeback Wages: Macro vs Per Capita, Nominal vs Real (y/y, % ) 5. 0 +3.8% 4. 0 +3.2% 3. 0 2. 0 1. 0 0. 0 -1 . 0 -2 . 0 (Per Capita)*(Employment Number) (Nominal) -3 . 0 (Per Capita) (Nominal) -4 . 0 (Per Capita)*(Employment Number) (Real) +1.8% +1.3% (Per Capita) (Real) -5 . 0 10 11 12 13 14 15 16 (CY ) Source: M inistry of Health, Labour and W elfare; com plied by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 15 Regular employees versus non-regular employees Regular employees versus non-regular employees (y/y change, in 10, 000s) 150 100 50 0 -50 -100 03 04 05 06 07 08 09 Regular 10 11 12 13 14 15 Non-regular 16 (Year) Source: Compiled by DIR from Ministry of Internal Affairs and Communications statistics. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 16 Positive Factor ②: Low Price of Crude Oil Providing Japan’s Economy with Underlying Support Effects of Fluctuations in Crude Oil Price on Japan’s Economy Real GDP % Difference from Scenario in Which Crude Oil Price Remains High Difference from Previous Estimate's Assumptions Difference from Scenario in Which Crude Oil Price Remains High Difference from Previous Estimate's Assumptions FY2015 FY2016 FY2017 FY2015 FY2016 FY2017 FY2015 FY2016 FY2017 FY2015 FY2016 FY2017 0.69 0.85 0.90 0.34 0.51 0.56 Personal Housing Capital Consumption Investment Expenditure % % % 1.11 2.64 2.88 1.28 2.98 4.04 1.32 3.35 4.66 0.59 1.32 1.15 0.84 1.72 2.07 0.88 1.96 2.57 Current Account Balance / Import Price Export Price Nominal GDP %pt % % 2.87 -19.21 -2.27 3.90 -24.17 -3.11 4.38 -25.81 -3.45 1.13 -9.07 -1.14 1.97 -14.55 -1.99 2.35 -16.41 -2.34 Exports Imports % % 0.47 0.66 0.73 0.24 0.42 0.49 3.51 4.43 4.78 1.72 2.66 2.97 CGPI Core CPI Industrial Production % % % -3.18 -4.39 -4.95 -1.57 -2.76 -3.29 -1.30 -1.65 -1.70 -0.72 -1.11 -1.20 Nominal GDP % 3.16 4.23 4.77 1.22 2.09 2.50 Tertiary All Industry Industry Activity Index Activity Index % 1.37 1.75 1.91 0.65 1.02 1.15 GDP GDP Growth Deflator Rate % % 2.45 0.49 3.35 0.16 3.84 0.05 0.88 0.27 1.57 0.18 1.93 0.05 % 0.71 0.93 1.04 0.32 0.52 0.61 0.79 1.01 1.13 0.37 0.58 0.67 Source: Compiled by DIR. Notes: 1) Simulation run using the DIR short-term macro model. Values show rate of deviation from normal solution. 2) WTI = Difference from $105 Scenario assumes most recent WTI peak of June 2014 and beyond to be flat at $105/bbl. WTI = Difference from $70 Scenario assumes the 2014 and 2015 Jan-Mar period and beyond to be flat at $70/bbl. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 17 Japan’s Major Trade Partners Mostly Non-Resource-Rich Countries Countries Most Effected by China's Economy and Price of Natural Resources Countries Highly Susceptible to Effects of China's Economic Slowdown (Exports to China/GDP, %) 35 30 Non-Resource-Rich Countries Dependent on China Resource-Rich Countries Dependent on China Oman 25 20 Singapore 15 10 Vietnam Malaysia Chile 5 Iran Australia Thailand India Indonesia Columbia 0 Canada Austria US Russia United Arab Emirates Saudi Arabia Venezuela Kuwait Norway -5 -2 0 -1 0 0 10 20 Countries Highly Resistant to Effects of China's Economic Slowdown 30 40 50 60 Countries Highly Susceptible to Effects of Low Price of Natural Resources Countries Highly Resistant to Effects of Low Price of Natural Resources Korea (Net Exports of Natural Resources/GDP, %) Source: IMF, UN, Ministry of Finance; compiled by DIR. Note: Net exports of natural resources from Saudi Arabia and Venezuela are from the year 2013. Net exports of natural resources from Iran are from the year 2011. All the rest are from 2014. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 18 Positive Factor ③: Economic Measures Expected to Increase FY2016 GDP by 0.2% Economic Measures for Realization of Investment in Future and Extent of Budget National & Regional Budgets Fiscal Investment & Loans 3.4 2.5 0.9 10.7 6.2 1.7 4.4 10.9 1.3 0.6 0.7 3 2.7 2.7 0 28.1 13.5 7.5 6 Project Scale Fiscal Measures 3.5 II. Developing a 21st Century Infrastructure III. Handling Risks Such as Uncertainty Associated with UK Exit from EU, and Support for Small & Medium Sized Enterprises and Local Regions I. Realization & Acceleration of Promoting Dynamic Engagement of All Citizens IV. Recovery from damage due to the Kumamoto & Great East Japan Earthquakes, Safety & Security, and Strengthening of Disaster Preparedness & Emergency Response Total (Tril Yen) Source: Cabinet Office; Compiled by DIR. Note: Amount yet to be determined, since supplementary budget has not yet taken shape. Outlook for FY2016 Supplementary Budget and Boost to GDP FY 2016 Extent of Boost to Supplementary GDP Budget I. Realization & Acceleration of Promoting Dynamic Engagement of All Citizens 0.5 Tril Yen 0.0% II. Developing a 21st Century Infrastructure III. Handling Risks Such as Uncertainty Associated with UK Exit from EU, and Support for Small & Medium Sized Enterprises and Local Regions IV. Recovery from damage due to the Kumamoto & Great East Japan Earthquakes, Safety & Security, and Strengthening of Disaster Preparedness & Emergency Response 1.5 Tril Yen 0.1% 0.5 Tril Yen 0.0% 2 Tril Yen 0.1% Total Source: Cabinet Office; Compiled by DIR. 4.5 Tril Yen 0.2% Note: Amount yet to be determined, since supplementary budget has not yet taken shape. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 19 World Economic Cycle (1) W o rld E con om ic C ycle w ith F ocus o n th e F e d Financial Market Route Weak Dollar / Capital Inflow Em erging Econom ies Grow Fed Monetary Policy (Monetary Easing) Exports/Production Real Economy Route US & Other Advanced Nation Economies Grow Commodities Market Up Economic Boom in Resource-Rich Countries Inflation Rate Increase Inflation Rate Decrease Resource-Rich Countries in Crisis Commodities Market Dow n US & Other Advanced Nation Economies Decline Exports/Production Fed Monetary Policy (Exit Strategy) Em erging Econom ies Decline Strong Dollar / Capital Ouflow Source: Produced by DIR . Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 20 World Economic Cycle (2) Leading Indices for World Production: Leading Economic Index for China, and the ISM (y/y, 3MA, %) ▲5 10 ① 8 09/12 6 ▲10 99/08 4 ▲9 ② 96/04 ① -4 -6 20 ① 09/01 ③03/02 -5 -10 ② 98/10 ③ 96/04 ② 00/06 ④ ② 11/02 13/12 0 ② 12/03 10/03 01/10 ③ 98/12 -20 ② -40 ③ Production in Emerging Nations of Asia ④ 10/05 ② ③ 13/10 14/04 ④ ② 09/02 03/06 ③ ④ 0 ③ -5 World Production (Right Axis) -10 ④ 09/04 96 97 98 99 00 01 02 03 5 12/10 01/12 95 10 12/09 03/0604/06 ③ 03/02 ② 20 ③ ① ③ 04/06 ③ 96/08 97/10 ④ 0 08/11 ① ① 97/08 ④ ① 03/05 ③ 5 40 US ISM Manufacturing Index (Right Axis) 01/02 00/01 10 ① 04/05 02/06 98/12 95/11 15 ② 60 ▲8 ▲5 ② 01/02 ③ ① 13/07 ② 99/12 97/02 ▲9 10/02 03/06 ① 98/08 ② ① 04/05 ▲10 ① -2 ▲1 ① ▲4 0 ▲1 02/02 97/03 ② 2 80 Leading Economic Index for China ▲12 ① ▲8 04 05 06 07 08 09 10 -15 11 12 13 14 15 16 (CY) Source: Haver Analytics; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 21 The Seven Sorrows of Japanese Corporations ① Yen Appreciation ② Behind in Free Trade ③ Environmental Regulation Set of “five fetters” ④ Labor Regulations ⑤ High Corporate Tax Rate ⑥ Electrical Power Shortage and Increasing Price of Electrical Power ⑦ Deteriorating Relationship with China Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 22 The Original Three Arrows of Abenomics (1) Bold monetary policy: already yielding results: (2) Flexible fiscal policy: uncertainty remains: Issue: maintaining fiscal discipline ―Strengthening resilience of nation’s infrastructure: risk of public spending bloating under guise of protecting lives and assets of citizens ―Risk of expanding budget deficit leading to triple weakness in form of plunge in JGBs (rise in long-term interest rate), weaker yen, and lower stock prices (3) Growth strategy to spur investment by private sector: uncertainty remains Issue: improving/restructuring economic structure over medium/long term ―Need to work toward easing of “bedrock regulations” and lowering of effective corporate tax rate Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 23 Introduction of Negative Interest Interest Paid on Reserve Amount to guarantee overnight rates fixed at -0.1%, “Y10-30tn?” To be announced at next MPC (Mar 15) Basically just buffer Y210tn, fixed after this change ⇔240 in end-2015, and expected to rise ⇒At least Y30bn opportunity cost annually Source: BOJ “Quantitative and Qualitative Monetary Easing (QQE) with a Negative Interest Rate” (Jan 29, 2016 ), DIR Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 24 Japan: Banks Suffer Few Losses Due to Negative Interest Rate Estimated Annual Losses of Banks from Deposits in Central Bank with Negative Interest Rate 500 (%) (Yen 100 Mil) 0.50 0.46 0.03 0 0.00 ▲500 ▲1,000 ▲656 ▲1,500 ▲2,000 Annual Losses of Banks ▲2,500 Ratio of Balance of Deposits (Right Axis) ▲3,000 ▲3,143 ▲3,500 Eurozone Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. Japan 25 Japan: Effects of Negative Interest Effects of Negative Interest on Financial Institutions, Corporations, and Households Financial Institutions Corporations Households Estimated Annual Losses of Financial Institutions from Deposits in Central Bank (Y100 Mil) -656 - - 25,408 - - Bank Gains on Sale of Government Bonds to BOJ (Y100 Mil) Decline in Interest on Savings (Y100 Mil) 1,212 -555 -675 -11,552 4,107 8,419 14,412 3,553 7,761 Decline in Lending Rate and Interest on Housing Loans (Y100 Mil) Overall Effect (Y100 Mil) Note 1: Financial institution gains on sale of government bonds to BOJ show n w ith change in price in comparison to w hat it w ould have been if negative interest had not been introduced. Estimates are for figures w ith one year of influence from new rate. Estimate results are hypothetical. Note 2: Calculated value of effects during first year. Calculation results are hypothetical. Note 3: Effects of decline in interest on savings, interest on loans, and interest on housing Loans: Calculation of extent of change since January 28 in comparison to balance as of end March, 2016. Assum ptions: Interest on Savings Corporations -0.03%, Households -0.02%, Lending Rate -0.15% Interest on Housing Loans: Variable Interest -0.79%, Variable and Fixed Combination -0.34% Source: BOJ etc.; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 26 Mid to Long-Term Challenges for Abenomics 1.Failure to maintain fiscal discipline could invite simultaneous risks of a weak bond market, weak yen, and weak stock market (the Triple Weaknesses). 2. Medium to long-term improvements in economic health and structural reform insufficient? 3. Room for improvement in household income? Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 27 Why Are Wages Stagnant? Breakdown of Real Hourly Wage Annual growth (CY00-09 avg; %) Real hourly wages Japan US Germany -0.5 1.3 0.2 0.7 2.0 1.2 Corporate Competitivity -1.0 -0.3 -0.7 Labor's share -0.3 -0.4 -0.3 Labor productivity Source: Cabinet Office, US Bureau of Economic Analysis, Bundesbank, EU KLEMS; compiled by DIR. Note: TFP=total factor productivity. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 28 Problem areas for Japan’s labor system <Labor market polarization> - Overwork - Employee health issues Strong authority over personnel (1) Regular employees (like permanent members) Employment security - Industrial structure change gridlock - Impedes utilization of seniors Diminishing international competitiveness Poor labor productivity Inadequate vocational training (2) Insecure non-regular employment Uncertainty about future - Employment problems/disparities become entrenched - ”Black” (exploitative) companies Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. - Weak consumer spending - Low fertility 29 Overall picture of labor system reform Strong authority over personnel Working-hours regulation Work-life balance -=> Overwork - Employee health issues (1) Regular employees (like permanent members) Employment security Equal pay for equal work principle => diverse work styles - Industrial structure - Reform termination rules change gridlock - End mandatory - Impedes utilizationretirement of seniors Labor productivity↑ Diminishing international International competitiveness competitiveness ↑ Poor labor productivity Inadequate vocational Enhance vocational training training (2) Insecure non-regular employment - Employment problems/disparities become Break cycle of poverty entrenched with safety net - ”Black” (exploitative) companies Uncertainty Alleviate uncertainty about about future future Personal consumption ↑ - Weak consumer Birth rate ↑ spending - Low fertility Support for educational and other expenses, tax & social security system reform <Labor market polarization> Peace of mind Security Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 30 The Pros and Cons of Abenomics Effects of Weak Yen Brought on by Abenomics and Number of Employees by Scale of Business (Change in personnel expenses due to weak yen; yen tril) 3.0 Large Manufacturer 2.5 2.0 Small Manufacturer 1.5 Small Non-manufacturer 1.0 0.5 Large Non-Manufacturer 0.0 0.0 0.5 1.0 1.5 2.0 2.5 (Change in recurring profits due to weak yen; yen tril) Note: Cumulative value of effects between Jan-Mar, 2013 and Oct-Dec, 2014. Size of circles represents size of sector as of Oct-Dec, 2014 period. Source: Ministry of Finance, BOJ, METI, Ministry of Internal Affairs and Communications, and Cabinet Office; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 31 Effects of Weak Yen on Corporate Sector Calculating the Effects of Cheap Yen Brought on by Abenomics on the Corporate Sector A llB usiness S izes /A llIndustries M anufacturing R ecurring P rofits D irectE ffects R ipple E ffect P ersonnelE xpenses capex A m ountC hange (Y en B il) S hare ofR ecurring P rofits (% ) A m ountC hange (Y en B il) S hare ofR ecurring P rofits (% ) A m ountC hange (Y en B il) S hare ofR ecurring P rofits (% ) A m ountC hange (Y en B il) S hare ofP ersonnelE xpenses (% ) A m ountC hange (Y en B il) S hare ofcapex (% ) Large S m all N on-M anufacturing Large S m all Large S m all C orporations B usinesses 812 C orporations B usinesses C orporations B usinesses 4,283 3,088 2,823 265 1,194 647 547 3,471 3.4 6.7 7.2 3.7 1.5 1.3 2.0 3.8 2.3 -1,296 1,294 1,406 -112 -2,590 -2,026 -564 -620 -676 -1.0 2.8 3.6 -1.6 -3.3 -4.0 -2.0 -0.7 -1.9 5,578 1,794 1,417 377 3,784 2,673 1,111 4,090 1,488 4.5 3.9 3.6 5.2 4.8 5.2 4.0 4.5 4.2 6,178 3,846 3,075 771 2,332 723 1,609 3,798 2,380 1.9 3.7 4.7 2.0 1.0 0.8 1.2 2.4 1.4 1,118 779 697 81 339 197 142 894 224 1.6 3.2 3.6 1.5 0.7 0.6 1.0 1.7 1.2 Source: Ministry of Finance, BOJ, METI, Ministry of Internal Affairs and Communications, and Cabinet Office; compiled by DIR. Notes: 1) Calculated values found using a macro model. Cumulative value of effects between Jan-Mar, 2013 and Oct-Dec, 2014. 2) Direct effect is the total of increase in exports and increase in import price due to weak yen. Ripple effect is the effect of increase in transactions between corporations including increase in final demand associated with weak yen and price pass-through. 3) Influence of personnel expenses and capex use constant and hypothetical calculated values for labor's relative share and capex/cash flow ratio. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 32 Risk Factors Facing Japan’s Economy ① China’s economic downturn ② Turmoil in emerging markets associated with U.S. exit strategy ③ Progression of risk-off behaviors (strengthening of yen / stock price lows) due to geopolitical risk ④ UK withdrawal from the EU and deleveraging by EU financial institutions Effects on Real GDP (percentage-point change from standard scenario) FY16 FY17 0.0 -0.1 -0.1 -0.1 -0.2 -0.2 -0.2 -0.3 -0.3 -0.3 -0.4 -0.4 -0.5 Y10 appreciation against $ 20% rise in crude oil prices -0.6 -0.5 1% contraction in world GDP level 1% pt rise in long-term interest rate -0.7 Source: Compiled by DIR. Note: Extent of influence in cases where the standard scenario shifts to a risk scenario. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 33 Japan’s Stock Market Currently in “Reverse Bubble” Correction Phase TOPIX (pt) and Nominal GDP (Y100 bil) 10000 GDP (8 months) 25 Aug 1304.27 Dec 1989 3339 GDP (4 months) 1670 1000 835 Mar 2003 TOPIX Jun 1961 12 Mar 2009: 700.93 Oct 1974 100 4 Jun 2012: 695.51 GDP (2 months) 10 1956 1961 1966 1971 1976 1981 1986 1991 Source: Cabinet Office, Tokyo Stock Exchange; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 1996 2001 2006 2011 2016 (CY) 34 Relationship between government debt & long term interest rates OECD countries: General government debt & short/long-term interest spreads (2015) (Long-term interest - short-term interest, percentage points) 4. 5 Ireland Norway 4 Spain 3. 5 3 Italy Trend line excluding Japan y = 0. 0205x + 0. 3862 R ² = 0. 6261 UK 2. 5 US 2 1. 5 1 G erm any 0. 5 Japan France Iceland 0 0 50 10 0 15 0 20 0 25 0 (General government debt/nominal GDP,%) Source: Compiled by DIR from OECD statistics. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 35 Changes in Japan’s Economic Environment Japan's Economic and Financial Environment: Current Situation Japan's Economic and Financial Environment: Future Outlook Current deficit Current surplus Sluggish credit demand (money glut) Savings being consumed reflecting aging society Strong yen and deflation Interest rates remaining low Fiscal deficit growth restrained Weak yen and inflation (stagflation) Long-term interest rate rising Fiscal deficit growth widening Source: Compiled by DIR. “Slow-Boiling Frog” Structure ⇒ Hard Landing Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 36 Worsening Current Account Balance Means Risk of Collapse in Government Bond Market UK Current Account and Spread Between Short and LongTerm Interest Rates US Current Account and Spread Between Short and Long-Term Interest Rates (%pt) 10% -1.5 Deficit in Current Account → Spread Betw een Short and LongTerm Interest Rates Widens 5% (%pt) 2% -0.5 -4 Trade Balance/Nominal GDP -1.0 Current Account Balance/Nominal GDP -3 1% -2 0.0 0% 0% 1.0 -5% -10% -1 0.5 -1% 0 1.5 2.0 Short/Long-Term Interest Spread (Right Axis, Inverse Scale) 2 2.5 Current Account Balance/Nominal GDP -15% 1870 90 1900 10 20 30 40 50 60 70 (CY) Note: Long-term interest rate expressed in terms of 3-qtr moving average. Source: International Historic Statistics, by Brian R. Mitchell (Palgrave Macmillan), A History of Interest Rates; compiled by DIR. Deficit in Current Account → Spread Betw een Short and LongTerm Interest Rates Widens Short/Long-Term Interest Spread (Right Axis, Inverse Scale) -3% 3.0 3.5 80 1 -2% -4% 1946 1951 1956 3 4 1961 1966 1971 1976 1981 1986 (CY) Source: Historical Statistics of the United States; compiled by DIR. ◎ Comparing EU Sovereign Risk and Japan’s Fiscal Deficit Problem (1) EU: Twin Deficits (fiscal deficit & current account deficit)⇔ cf. Japan’s current account is in the black (2) EU: High ratio of foreign holdings of govt. bonds ⇔ cf. Japan’s ratio of foreign holdings of govt. bonds is around 10% Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 37 Appendix 38 Political Schedule Key political events Japan 2016 May June Jul Upper house election Nov Dec US Europe/China and Others G7 summit "Brexit" referendum Presidential election Congress to ratify TPP? Xi Jinping administration established for second term? 2017 Dec End of term for FRB Chair Janet Yellen 2018 Feb End of term for BOJ governor Haruhiko Kuroda Election of LDP president Sep (Shinzo Abe steps down) Nov End of term for upper house Dec representatives Apr 2019 Oct Mid-term elections Sales tax to be hiked again? End of term for ECB president Mario Draghi Source: Various materials; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 39 Trends in major economic indicators Corporate earnings (Ordinary profit) Wage hike (announced by Rengo, Japanese Trade Union Confederation) Number of employees Employment Situation Unemployment Rate Active Job Openings-toApplication Ratio Nominal GDP Nikkei Stock Average Before inauguration of Abe Administration 12.4 trillion yen Current indicators 17.9 trillion yen (Oct.-Dec. 2012) (Jul.-Sep. 2015) 0.82% 2.2% (2012) (2015) 62.8 million 64.0 million (Oct.- Dec. 2012) (Oct.-Dec. 2015) 4.1% 3.3% (Nov. 2012) (Dec. 2015) 0.82 1.27 (Nov. 2012) (Dec. 2015) 472.7 trillion yen 499.4 trillion yen (Oct.-Dec. 2012) (Oct.-Dec. 2015) 8,665 yen 16,052 yen (Nov. 14, 2012) (Feb. 23, 2016) Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. Note Record high Highest level in 17 years Increased by more than 1.1 million Lower 3% range, lowest in 18 years Highest level in 24 years Recovering to the level before the global financial crisis in 2008. Highest level in 19 years (Average between Jan.- Dec. 2015: 19,213 yen) 40 The new three arrows of Abenomics (1) A robust economy that gives rise to hope Growth strategy (2) Dream-weaving childcare support Redistribution policy (3) Social security that provides reassurance Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 41 “Active involvement of women” is the key to reviving Japan’s economy Gender Equality and Real GDP Per Person in OECD Member Nations (Purchasing Power Parity Basis) (2012 Real GDP Per Person, Purchasing Power Parity Basis) 90,000 80,000 Germany y = -778.14x + 48239 R² = 0.5232 70,000 US Iceland Norway Netherlands Czech Republic 60,000 50,000 Korea Japan Switzerland UK Italy 40,000 30,000 Denmark 20,000 France 10,000 Turkey Sweden Finland Hungary 0 35 30 25 20 15 10 5 0 (In Order of Gender Equality Index, 2014 Survey) Women's Empowerment → Source: World Economic Forum and OECD; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 42 Japan: Effects of Negative Interest Possible Negative Effects on Economy & Prices due to Negative Interest Rate Negative Interest Rate Introduced Real Economy International interest spread increases Financial Markets < Price of Crude Oil Rises Turmoil in global financial markets Yield on govt. bonds declines Cost of procuring funds decreases Interest on bank deposits declines Interest on loans declines ② Interest on housing loans declines Corporations capex stagnates ① Stock prices fall Negative wealth effect Upward pressure on prices decreases Import prices fall Households Housing investment & consumption stagnate Corporate business performance: Expections of improvement subside Sluggish growth in w ages Cost of < Dem and for procuring funds capital declines decreases Yen appreciation Interest income declines Confidence worsens ③ + Downward pressure on prices Economic stagnation Source: Compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 43 Is fiscal adjustment possible if there is economic growth? Domar’s condition: Nominal GDP growth rate>long-term interest rate Ratio of Major OECD Nations That Meet Domar's Condition Japan:Nominal GDP, Long-term Interest Rate, Interest Payments (%; % pt) 25 (a) Nominal GDP growth (left) 8 1971-2010 1981-2010 1991-2010 2001-2010 20 Avg. of (a - b) 0.20 -1.15 -1.58 -1.50 15 Probability of (a > b) 38.6 23.5 16.7 21.4 10 (%) 100 (%) US IT bubble 7 6 80 5 5 4 0 3 Growing global excess liquidity 70 60 (b) Long-term interest rate (left) US housing bubble 90 Financial deregulation (higher inflation) 50 40 30 20 -5 2 (a - b; left) -10 1 66 68 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 10 12 14 Source:Cabinet Office, IMF; compiled by DIR. Note:General government interest payments:FY basis; other:CY basis. 0 71 73 75 77 79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13 General government interest payments (% of GDP; right) -15 10 0 (CY) Note: OECD, IMF; compiled by DIR. Note: Major OECD nations are 16 nations for which interest rate (in terms of 10-yr sovereign bond yields) and nominal GDP growth rate since 1971 are available, namely, Australia, Austria, Belgium, Canada, Denmark, France, Germany, Ireland, Italy, Japan, Luxemburg, Netherlands, Norway, Sweden, UK, and US. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 44 Growing Social Security Costs Main Cause of deteriorating Fiscal Balance Comparison of FY90 and FY14 General Government Revenue and Expenditure (Central government) (Y tril) Other 2.6 FY90 Tax 58.0 Revenue Expenditure +29.6 Expenditure 6.2 Local allocation 11.6 (17.5%) tax grants 34.1 14.3 Social security Other Debt servicing +18.9 ▲0.2 +2.0 Social security 30.5 (29.2%) Revenue Construction bonds 5.6 Local allocation tax grants 6.0 +8.9 Other Debt servicing 36.1 23.3 Tax 50.0 Deficit-financing bonds 35.2 Other 4.6 FY14 Construction bonds 6.0 Source: Ministry of Finance; compiled by DIR. Note: FY90: original budget; FY14: government draft. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 45 The Shift From Mid-Range Benefits for Low Burden to High Benefits for Low Burden OECD Nations: National Burden and Social Security (2010) Social security expenditure (General government; % of GDP) 30 1993 25 Larger benefit 20 2010 2010 2010 15 1995 Greece Sweden 10 1980 5 Japan Larger burden y = 0.47 x + 1.06 R² = 0.57 0 15 20 25 30 35 40 Source: OECD; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 45 50 55 National burden (% of GDP) 46 Simulation of Long-Term Interest Rate Japan’s Theoretical Long-term Interest Rate Implied by Other Nations’ Interest Rate (%) 10 9 8 7 6 5.0 Theoretical interest rate 5 4 3 2 1 Actual interest rate 0 1980 82 84 86 88 90 92 94 96 98 2000 02 04 06 08 10 12 14 (CY) Source: OECD; compiled by DIR. Estimating equation for theoretical interest rate: Long-term interest rate = 1.07 + 0.76 x short-term interest rate + 0.02 x outstanding balance of general government debt (% of nominal GDP) + 0.06 x GDP deflator (y/y). Estimation period 1981-2013; Significance of coefficients: 5%; Adjusted R2: 0.87; Coefficients derived from estimation results of long-term interest rates of OECD 21 nations (excl. Japan). Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 47 Consumption Tax(1) Central/local Government Primary Balance (% of GDP) 300 (% of GDP) 3 2 1 0 -1 -2 -3 -4 -5 -6 -7 DIR estimate DIR estimate 250 200 150 Radical reform scenario Structural reform scenario Base scenario (FY) Radical reform scenario Structural reform scenario Base scenario 2040 2035 2030 2025 2020 2015 2010 2005 2000 50 1995 36-40 31-35 26-30 21-25 16-20 11-15 06-10 2001-05 100 96-00 1991-95 Outstanding Balance of Central/local Government Debt (end-FY) Source: Compiled by DIR based on various statistics. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 48 Consumption Tax(2) Tax Revenue Simulation (Y Tril) (Y Tril) 12 10 8 2.0 Amount of divergence from hypothetical case where 2014 and 2017 consumption tax hikes do not take place. 1.0 Amount of increase in tax revenue if recession caused by tax increase is avoided. 0.0 6 -1.0 4 2 -2.0 Amount of divergence from case where 2017 consumption tax increase takes place. 0 -3.0 -2 Decline in tax revenue due to recession caused by tax increase -4 12 13 14 Consumption Tax Revenue Income Tax Revenue 15 16 Corporate Tax Revenue 17 (FY) Source: Produced by DIR Notes: 1) Simulation results using DIR short-term macro model. 2) FY2017 revenue from consumption tax takes into consideration the amount of decline in tax revenue due to the reduced tax rate. -4.0 15 Consumption Tax Revenue Income Tax Revenue 16 17 (FY) Corporate Tax Revenue Source: Produced by DIR Notes: 1) Simulation results using DIR short-term macro model. 2) FY2017 revenue from consumption tax takes into consideration the amount of decline in tax revenue due to the reduced tax rate. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 49 Consumption Tax(3) S im ulation of F iscal Balance (Left: G e neral G overnm ent F iscal Ba lance, R ight: G eneral G overnment D ebt) (Y Tril) (Y Tril) -16 0 -19 -1 -22 1,500 (Y Tril) (Y Tril) 30 1,450 24 1,400 18 1,350 12 1,300 6 -2 -25 -3 -28 -4 1,250 2017 2018 2019 2020 2021 2022 2023 Amount of Difference (Right Axis) Tax Increased Postponed Indefinitely Source: Estimates using DIR Midterm Macro Model. 2024 0 2017 2018 2025 2019 2020 2021 2022 2023 Amount of Difference (Right Axis) Tax Increased Postponed Indefinitely (CY) 2024 2025 (CY) Source: Estimates using DIR Midterm Macro Model. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 50 Capex(1) C a p ital Investment a nd C ash F low 20 Capex: Actual and Projection Y Tril (Y tril) 90 (% change from previous survey ) 10 Cash Flow 18 Nominal capex (right) Capital Expenditure 8 80 16 70 6 14 60 4 12 50 10 2 8 0 6 -2 40 4 2 30 20 -4 Depreciation Expenses 10 Revision rate to capex projection* (one year previous; left) 90 92 94 96 98 00 02 04 Source: Ministry of Finance; compiled by DIR Notes: 1) Seasonally adjusted figures for depreciation expenses calculated by DIR. 2) Cash flow = recurring profits / 2 + depreciation expenses. 06 08 10 12 14 16 (CY) -6 0 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 Source: Bank of Japan (BOJ), Cabinet Office; compiled by DIR. *BOJ Tankan survey of corporate sentiment; bold line=4Q MA. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. (CY) 51 Capex(2) Capex Breakdown by Motive of Investment (All Industry) 20 (y/y,%) 15 10 5 0 -5 -10 -15 -20 91 93 95 97 99 01 03 Capacity Increase Rationalization & Labor-Saving Maintenance & repair Capex 05 07 09 11 13 15 (CY) New products & Product Upgrade Research & Development Others Source: Development Bank of Japan, compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 52 Capex(3) Factor Analysis of Corporate Earnings (Reference Point=100) (Deviation Amount from Reference Point, Y Tril) 130 5 125 4 120 3 115 2 110 1 105 0 100 -1 95 -2 90 -3 85 Ⅳ 12 Ⅰ Ⅱ Ⅲ Ⅳ Ⅰ 13 Ⅱ Ⅲ (Reference Point=100) (Deviation Amount from Reference Point, Y Tril) 6 Ⅳ Ⅰ 14 Domestic Output Price Export Output Price Variable Expenses Recurring Profits Ⅱ 15 Ⅲ Ⅳ Ⅰ 16 6 130 5 125 4 120 3 115 2 110 1 105 0 100 -1 95 -2 90 (Quarter) -3 (Year) 85 Ⅰ Ⅱ Ⅲ Ⅳ Ⅰ 02 Ⅱ Ⅲ 03 Ⅳ Ⅰ Ⅱ Ⅲ 04 Ⅳ Ⅰ 05 (Quarter) (Year) Domestic Sales Volume Export Sales Volume Fixed Expenses Real Capital Expenditure in Manufacturing Industry (Right Axis) Source: Ministry of Finance, Bank of Japan; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 53 Capex(4) Correlation Coefficient of Capital Investment and Corporate Earnings Components 1.0 0.9 0.8 Driving Force Until Global Financial Crisis of 2008 0.7 Driving Force in Current Economic Recovery Phase 0.6 0.5 0.4 0.3 0.2 0.1 0.0 Domestic Sales Volume Export Sales Volume Volume Domestic Output Price Export Output Price Variable Fixed Expenses Expenses (Reversed Sign) (Reversed Sign) Price Expenses Source: Ministry of Finance, Ministry of Economy, Trade and Industry; compiled by DIR. Note: Coefficient with the greatest absolute value out of 4-quarter time-difference correlation is displayed. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 54 Capex(5) R e a l Anticipated Growth Rate of Demand, and Amount of Capital Expenditure/Cash Flow Ratio 5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 ( %) 85 87 ( %) 89 91 93 95 97 99 01 03 05 07 09 11 13 Real Anticipated Growth Rate of Demand (Leads by 3 Qtrs) 140 130 120 110 100 90 80 70 60 50 40 15 (CY) Amount of Capital Expenditure/Cash Flow Ratio(Right Axis) Source: Ministry of Fina nce, Ca binet Office; com piled by D IR . N ote: R ea l a nticipa ted g row th ra te of dem a nd is a n a ll -industry fig ure. Indica tes outlook five -yea rs into the future. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 55 Consumption(1) Financial Planning for Old Age and Savings Rate 40 2015 2010 38 Savings Rate with Age Factor Removed 36 (Savings Rate, %) 34 2000 32 30 28 26 1990 1984 24 1990 22 2015 2010 2000 Savings Rate 20 40 45 50 55 60 65 70 Percentage of persons stating that the purpose of holding financial assets is to cover living expenses in old age (%) Source: Ministry of Internal Affairs and Communications, and Bank of Japan; compiled by DIR. Note: Savings rate from household survey “Rate of Surplus”. Aging factor found by estimating savings rate. The forecast formula is as follows: Savings rate = 18.01 – 0.75 x aging rate + 0.16 x anxiety regarding the future +0.01 x household assets (-2). Aging rate and household asset factors have a significance of 1%. Anxiety regarding the future has a significance of 5%. Anxiety regarding the future is the percentage of persons stating that the purpose of holding financial assets is to cover living expenses in old age in reply to surveys regarding the purpose of holding financial assets. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 56 Consumption(2) Employee Compensation Growing, while Personal Consumption Stagnates Real Personal Consumption and Real Employee Compensation (Y Tril) (Y Tril) 330 270 325 320 265 315 310 260 305 300 255 295 290 250 285 280 275 05 06 07 08 09 Real Personal Consumption 10 11 12 13 14 15 245 16 (CY) Real Employee Compensation (Right Axis) Source: Cabinet Office; Compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 57 Consumption(3) Increase in Social Security Contributions Puts Squeeze on Growth in Disposable Income Factor Analysis of Change in Wages & Salaries, Employee Compensation, and Disposable Income (FY2012→FY2014) (Change Between FY2012 and FY2014, Yen Bil) 12,000 +2,442 10,000 8,000 +2,021 +6,853 +336 6,000 +4,832 ▲ 3,861 4,000 ▲ 2,021 +1,399 2,000 +1,193 ▲ 688 ▲ 3,267 0 Wages & Salaries Employer's Employee Operating Property Income Contribution Compensation Surplus Income (Net) Tax (Paid) to Social Security Employer's Employee's Social Contribution Contribution Security to Social to Social Benefits Security Security (Received) Others Disposable Income Source: Cabinet Office; Compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 58 Consumption(4) R ea l Dura bles Consum ption a nd its Trend (Y Tril) 60 50 40 Trends in Personal Services (2013=100) 108 106 Trend seen prior to introduction of the eco-car subsidy and the consumer electronics eco-point system. 104 102 30 100 20 98 10 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 (CY) Period When Eco-Car Subsidy and Consumer Electronics Eco-Point System Policies were in Effect Period During which Last-Minute Demand was Generated beofore Sales Tax Hikes Source: Ca binet Office; com piled by D IR . 96 13/1 13/5 13/9 14/1 14/5 Broad-Ranging Personal Services Non-Essential Personal Services 14/9 15/1 15/5 15/9 16/1 (Yr/Mo) Essential Personal Services Source: Ministry of Economy, Trade and Industry; compiled by DIR. Note: Less retailing. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 59 Consumption(5) P ersonal C onsum ption by A nnua l Income P ersonal C onsum ption by Age G roup (2012= 100) 101 (2012= 100) 10 5 100 10 0 99 95 98 90 97 85 96 80 95 75 94 70 and Over 60-69 50-59 40-49 30-39 29 and Below Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ (Five Annual Income Quantiles) Source: Ministry of General Affairs and Communications; compiled by DIR Note: Seasonal Adjustment by DIR. Thick bold line indicates average of all households. Source: Ministry of General Affairs and Communications; compiled by DIR Note: Seasonal Adjustment by DIR. Thick bold line indicates average of all households. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 60 Consumption(6) Consumption Function Estimation Results by Age Group and Income Bracket Estimation of Consumption Functions by Age Group Age 29 and Below 30-39 40-49 50-59 60-69 Age 70 and Over Disposable Income 0.91*** 0.97*** 0.67*** 0.79*** 0.49*** 0.46*** Financial Assets Anxiety Regarding the Future 0.08 -0.04 -0.05 0.16*** 0.11 0.54*** -0.32*** -0.11*** -0.15*** -0.06* 0.00 0.11 0.00 0.00** 0.00 0.00* 0.00*** 0.00** Trend Term Estimation of Consumption Functions by Income Bracket Low Income Middle Income High Income Disposable Income 0.85*** 0.84*** 0.75*** Financial Assets Anxiety Regarding the Future 0.15*** 0.17*** 0.26*** -0.01 -0.02** -0.07*** Source: Produced by DIR. Notes: 1) The asterisks *, **, *** indicate that the coefficients are statistically different from zero at the 1%, 5%, and 10% levels. 2) The factor of anxiety regarding the future is Japan’s outstanding obligations as a percentage of GDP. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 61 Consumption(7) S tructural a n d F riction al U n em p loym ent R a tes b y Ag e G rou p In v o lu ntary Irregu lar E m p loyee R atio (20 15) (%) (%) 9 8 7 6 5 4 3 2 1 0 30 25 20 15 10 90 92 94 96 98 00 02 04 06 08 10 5 15~24 25~34 35~44 45~54 55~64 12 14 16 (CY) 65 and over 0 15-24 25-34 35-44 45-54 55-64 65 Source: Ministry of Interna l Affa irs a nd Com m unica tion, Ministry of H ea lth, La bour a nd W elfa re; com piled by DIR Source: Ministry of Internal Affairs and Communication; compiled by DIR Notes: 1) Number of irregular employees accounted for by individuals w ho became an irregular employee because there w ere no regular employee positions open. 2) Number of irregular employees in the 15-24 age group does not include individuals still going to school. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 62 Consumption(8) Individual Opinions Regarding Level of Interest Rate 70 QQE 2 QQE 1 Usecured Call Rate Overnight Reduction ( 0.3%→0.1%) Deposits and Securities Holdings by Age of Head of Household ( Households holding financial assets、 2015) (Securities Holdings, Y10,000) 500 50 Effect of Fluctuation in Stock Prices (Greater in Direction of Arrow) 60 Negative Interest Rate ( %, %pt) 400 40 300 30 20 200 10 100 0 1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q2Q3Q4Q1Q 2007 2008 ①-② 2009 2010 2011 Interest is too low( ①) 2012 2013 2014 2015 2016 (FY) Interest is too high( ②) Note: Ratio of responses to survey regarding level of interest rate (too low : too high). Source: Bank of Japan; compiled by DIR. 0 70s and older 50s 60s 30s Overall 40s Effect of Fluctuation in Interest Rates on Deposits (Greater in Direction of Arrow) 20s -100 0 200 400 600 800 1,000 1,200 1,400 1,600 (Amounts Held in Deposits, Y10,000) Source: Central Council for Financial Services Information, Ministry of General Affairs and Communication; compiled by DIR. Note: Size of circles represents number of households as of 2015. Overall category is a simple average of number of households. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 63 Impacts on Consumption Vary by Types of Labor Market Improvement Impact of 2% Rise in Employee Compensation on Personal Consumption Increase in consumption spending (Y tril) 7 6 5.3 5 Durables Semi-durables Non-durables Services Personal consumption 4 1.9 3 2 0.7 1 0 -1 -2 Contractual cash earnings Bonuses No. of employees Source: Cabinet Office, Ministry of Health, Labour and Welfare, Ministry of Internal Affairs and Communications; compiled by DIR. Note: Employee compensation expressed as "total cash payments multiplied by no. of employees". If employee compensation rises 2%, contractual cash earnings would be up 2.4%, bonuses up 12.0%, and no. of employees up 2.0%. If this is the case, personal consumption would increase as shown in the chart. Estimation period: Jan-Mar 1994 to Apr-Jun 2013. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 64 Unit Purchase Price of Foodstuffs in Downward Trend Changes in Unit Purchase Price Index and Consumer Price Index (Foodsuffs) (2013=100) Unit Purchase Price Consumer Price 110 108 106 104 102 100 98 12345678910 11 1212345678910 11 1212345678910 11 1212345678910 11 1212345678910 11 1212345678910 11 1212345678910 11 12 2010 2011 2012 2013 2014 Source: Ministry of Internal Affairs and Communications; Compiled by DIR. Note: Figures are seasonally adjusted and use the 3-month moving average. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 2015 2016 (Mo) (Yr) 65 US Consumer Confidence Is Favorable US Consumer Confidence and Japan's Economy (CY2005=100) 240 Japan's Coincidence Index (right) 220 130 120 200 110 180 160 100 140 90 120 80 100 3 80 70 60 1 40 20 4 4 60 2 US Consumer Confidence Index (left) 1 0 (CY) 50 40 80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 10 12 14 16 Source: Cabinet office, Conference Board; compiled by DIR. Notes: 1) Shaded areas denote economic downturns in Japan. 2) Figures in boxes: Months preceding Japan's economic trough. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 66 US Role as World’s Banker G lobal M oney F low s 2015 UK to US Eurozone to Japan 8543 -24409 -186 -282 US to UK Japan to Eurozone 1566 1240 255 UK to Japan Eurozone to US -1095 10808 Bonds Stocks Bonds DI -998 Bonds Stocks Bonds -1103 DI 41123 DI 422 -615 Eurozone 1194 Stocks -743 Stocks -4598 Bonds DI 736 Stocks -1792 -24878 23774 UK DI DI Japan to UK -1072 42872 220 6988 Stocks 7871 11004 US to Eurozone -58 Bonds 9663 -169 -277 10784 3605 41801 -625 191 Bonds Bonds Stocks DI US to Japan Stocks DI Japan to US 221 1441 -727 92 US -94 Ja pan -819 379 Japan to Asia US to Latin Am erica -854 Bonds 2757 Stocks -2639 DI Bonds Stocks DI -243 -277 Bonds Stocks -1798 1328 1837 -1278 680 -1600 Bonds Stocks DI DI 2484 509 Asia to Japan Latin Am erica to US -4427 711 200 2525 1604 -1316 Bonds 686 601 1933 Stocks DI Latin Am erica to Japan -1902 La tin Am e rica -1003 -91 As ia US to Oceania Japan to Latin Am erica 291 -681 881 115 -86 -23 -971 -119 183 198 -369 -567 -590 Bonds US to Asia 1615 -1793 577 Japan to Oceania Stocks DI Asia to US 1271 471 -2285 236 O ce ania -3940 -124 Bonds Stocks DI Bonds Stocks Source: US Dept. of Treasury, US Dept. of Commerce, Ministry of Finance; compiled by DIR. Note: Unit: 100 mil dlrs, annualized rate. Data for Eurozone to Japan includes EU (25 countries) and UK. Asia does not include Japan. Latin America includes the Caribbean. Data for US-Oceania includes only Australia. DI Bonds Stocks -224 DI 228 5 Bonds Stocks 59 DI Bonds Stocks DI -1711 Bonds Stocks DI -334 Oceania to Japan Oceania to US Bonds 2 9 Stocks DI Stocks DI -578 Bonds Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 67 Influence of US and European Monetary Policy on World Economy US Interest Rate Hikes + EU Quantitative Easing US Interest Rate Hikes US EU Emerging Nations World 2015 2016 2017 2015 2016 2017 2015 2016 2017 2015 2016 2017 ① 0.01% -0.09% -0.27% 0.02% -0.06% -0.25% 0.01% -0.08% -0.24% 0.01% -0.08% -0.25% 0.00% -0.14% -0.34% 0.00% -0.15% -0.39% 0.00% -0.12% -0.31% 0.00% -0.13% -0.34% EU Quantitative Easing US Interest Rate Hikes at Neutral Pace + EU Quantitative Easing 0.02% 0.09% 0.13% 0.04% 0.14% 0.20% 0.02% 0.09% 0.12% 0.03% 0.10% 0.14% ② 0.00% 0.00% 0.00% 0.01% 0.02% -0.01% 0.00% -0.01% -0.05% 0.00% 0.00% -0.02% Source: Compiled by DIR Notes: 1) Cumulative rate of deviation from baseline. 2) Figures for the w orld are a total of the values of the US, EU, and the emerging nations (covers about 82% of w orld GDP). 3) The US interest rate hike case starts in the Oct-Dec period of 2015, and assumes increases in the 10-yr bond yield of 25bp at a time for 8 consecutive quarters. 4) The EU quantitative easing case starts in the Jan-Mar period of 2015 and assumes an expansion of the ECB balance sheet of 180 bil Euros at a time for 8 consecutive quarters. 5) Simulation run using the DIR w orld economic model. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 68 Fundamentals of Emerging Nations Improve Risk Resilience of Emerging Market Economies Public finance to strengthen Ratio of foreign reserves to import value per month (times) Public finance to weaken 16 Risk resilience to strengthen Brazil 14 Russia 12 Thailand 10 Argentina 8 Turkey 6 4 2 Indonesia Risk resilience to weaken Mexico 0 120 50 40 30 20 10 0 Debt service ratio (%) Source: Haver Analytics; compiled by DIR. Notes: 1) Arrows denote shift of positions at critical moments to 2012. 2) Year of crises defined as 1994 for Mexico, 1997 for Thailand and Indonesia, 1998 for Russia, 1999 for Brazil, 2001 for Turkey, and 2002 for Argentina. 3) Size of circles shows ratio of foreign reserves to foreign debt with less than one-year maturity. The larger the circle, the greater the resilience. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 69 How Far will Yuan Depreciate? The yuans' real effective exchange rate 140 (2010=100) 130 120 110 20% 100 90 80 2000 30% 2002 2004 2006 2008 2010 2012 2014 2016 Source: Haver Anlytics; compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 70 Capital Flight from China C hina ’s ba la nce o f interna tiona l pa ym ents 2,500 China's Foreign Reserves (Bil.USD) (MIl.$) 4,500 2,000 1,500 4,000 1,000 3,500 500 3,000 Chang es in Reserves Foreign Reserves 150 100 0 50 2,500 -500 0 -1,000 2,000 -1,500 1,500 -2,000 -50 1,000 -100 -2,500 2000 2002 2004 2006 2008 2010 2012 2014 2016 Financial/capital account balance Current account balance Chg. in foreign reserves Source: H a ver Ana lytics; com piled by D IR . 500 (CY) 0 -150 05 06 07 08 09 10 11 12 13 14 15 16 (CY) Source: PBOC Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 71 Export-boosting effect of weak yen Estimated export-boosting effect of weak yen 10 0 Export volume index cumulative change factor analysis (2010=100) (pt) Boosting effect 98 96 10 10 9 8 8 6 7 4 94 6 2 92 5 4 90 3 88 2 86 1 84 0 12 13 14 15 16 Boosting effect (rig ht a xis) E stima te If foreig n excha nge ra tes ha d rema ined fla t from October 2012 Source: Ministry of Fina nce, Ba nk of Ja pa n, a nd N etherla nds Burea u for E conom ic Policy Ana lysis sta tistics; Com piled by DIR (Cum ula tive cha ng e since N ovember 2012, pt) 0 -2 -4 -6 -8 -1 0 12 /11 13 /3 13 /7 13 /11 14 /3 14 /7 14 /11 15 /3 15 /7 15 /11 16 /3 (Yea r/Month) (CY) R esidual + approximation error Nominal effective exchange R elative export price Japan export share trend-cycle component Global production ex Japan Export volume index cumulative change (3MA) N ote: R ela tive export price=Ja pa n export price/w orld export price ex Ja pa n (in U S dolla rs). Source: Ministry of Fina nce, Ba nk of Ja pa n, a nd N etherla nds Burea u for E conom ic Policy Ana lysis sta tistics; Com piled by D IR Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 72 How should we think about immigration? Emmanuel Todd Family Types Parent-child relationship Equal (separate residences) Unequal (same residence) Equal Unequal Filial relationship China France Russia UK Japan US Germany Source: Compiled by DIR. Copyright © 2016 Daiwa Institute of Research Ltd. All rights reserved. 73 IMPORTANT This handout is not intended as a solicitation for investment. Content herein is based on reliable information available at the time the handout was prepared and may be amended or otherwise changed in the future without notice. We make no representations as to accuracy or completeness. Daiwa Securities Group is the parent of Daiwa Institute of Research Holdings Ltd. (parent of Daiwa Institute of Research Ltd.) and Daiwa Securities Co.Ltd. 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