Page numbers for figures are given in italics, and for tables they are given in bold.
- 1M Price Momentum 120
- 12M Price Momentum 120
- 12M ROE Change 121
- Abe, Shinzo 30, 147–148, 154
- Abenomics 23, 27–31, 35–39
- bull market 33
- corporate governance 43
- ROE rise 130
- technical indicators 109
- accessibility of market 133–136
- active funds 40, 72
- “aggressive fiscal policy” 28
- Amplitude‐adjusted CLI time series 6
- “announcement”, use of term 133
- “Apple Shock” 150
- arbitrage funds 83–84, 87
- arbitrage opportunities 34–35, 72
- arbitragers 72
- Asian Financial Crisis 8, 51
- asset allocation
- asset under management 88
- at‐the‐money (ATM) options 79
- Bank of Japan (BoJ)
- ETF purchases 46–47
- GPIF connection 37–38
- Kuroda Bazooka 31–35
- NIRP introduction 49–50, 155
- policy impact 29–30
- QE campaign 8, 42
- bear markets 136
- Bernanke, Ben 33–34, 36
- beta 121, 127
- Black Monday 158
- Black‐Scholes model 68
- BoJ see Bank of Japan
- “bold monetary policy” 28
- Bollinger Bands 104–105, 159–161, 159
- bond‐like equities 42
- bonds, conversion feature 82–87
- book value 103
- bottom of the market 93–109
- Buffet Indicator 100–101, 163
- bull market
- Abenomics 33
- arbitrage opportunities 34–35
- factor analysis 119
- FX rate 57–58
- G7 OECD CLI 29
- GPIF 43
- seasonality 30
- share buybacks 130
- volatility 41
- “buy‐at‐RSI=20 and sell‐at‐RSI=80” strategy 104
- “buy and hold” strategy 11
- “buy‐low‐and‐sell‐high” strategy 118
- “buy” market 5
- “buy‐on‐the‐dip” strategy 96–97, 106–107
- “buy” signal
- Bollinger Bands 160
- TOPIX trade 6, 8, 18–19
- call option 83–84
- call/put ratio 89–90
- CAPE calculation 107–108
- capital spending 50
- cash equities 34–35, 72
- cash‐rich companies 129–130
- CBs (convertible bonds) 82–87
- central banks 52–53, 98
- “change in profit forecast” factor 118
- charts 101–102
- China
- collapse of equity market 88–89, 148
- G7 OECD CLI 10
- tourist traffic 125
- US–China trade war 148–150, 164
- China Syndrome 139
- CLI see composite leading indicators
- close‐to‐close trades 161
- commodity trading advisor (CTA) funds 96
- composite leading indicators (CLI) 3–14
- consumer attitude index 50–51
- consumption tax/VAT hikes 36–38, 51–52, 61
- convertible arbitrage funds 83–84, 87
- convertible bonds (CBs) 82–87
- corporate governance 43–45
- corporate investors 113–114, 128, 129
- corporate taxes 148
- correlation coefficient 60, 96–97
- country asset allocation 113–114
- CTA (commodity trading advisor) funds 96
- currency crises 38
- currency–equity correlation 56–57, 59
- currency factor 152
- currency traders 58
- cyclical companies 60
- cyclical sector 124
- cyclical stocks 62–63
- Cyclically‐Adjusted Price‐to‐Earnings Ratio (CAPE) calculation 107–108
- Cypriot financial crisis 31–32
- Daiwa Securities Group example 80
- debt 130
- defensive factor, dividends 131
- defensive sector 124
- defensive stocks 92, 95
- deflation 53, 98
- Democratic Party of Japan 28–30
- derivatives
- definition 67
- topics 65–92
- deviation from average formula 5, 67–68
- Diffusion Index (DI) 14–17
- dividend yield, P/B ratio 118
- dividends 131–133, 132
- domestic corporate investors 113–114
- downside volatility 69
- early redemption clause 85
- earnings forecasts 59
- earnings momentum 121
- earnings per share (EPS) 82–87, 121, 132, 132
- earnings yield spread 157, 157
- earthquake damage impact 137–143
- ECB (European Central Bank) 38–39
- economic data, OECD CLI 7
- economic indicators 97–101
- economic reality, FED policy 56
- Economy Watchers' DI 14–17
- election politics
- enterprise value/earnings before interest, taxes, depreciation, and amortization (EV/EBITDA) 102–103
- environment, social, governance (ESG) concept 44–45
- EPS see earnings per share
- ESG (environment, social, governance) concept 44–45
- ETFs see Exchange Traded Funds
- Euro crises 31–32, 49
- European Central Bank (ECB) 38–39
- EV/EBITDA valuation 102–103
- Exchange Traded Funds (ETFs) 37, 46–47, 87–89
- execution traders 76
- export companies 58–59
- factor analysis 116–124, 120, 129
- factor rotations 123–124
- fair value 102
- far‐term volatility 71
- Fast Retailing stock 74
- FED see Federal Reserve Board
- federal fund rate (FFR) 53, 54, 151, 155
- Federal Reserve Board (FED)
- currency–equity correlation 57
- FFR target rise 151
- interest rates 149, 155
- monetary/quantitative easing 33–34, 36–37, 42, 163
- policy impact 28–29, 52–56, 98–99
- FFR see federal fund rate
- FIF ratio see free float ratio
- financial crisis, 87, 1998
- Financial Services Agency (FSA) 43
- fiscal policy, US 61
- fixed‐income instruments 82–87
- forecasting volatility 70–71
- foreign exchange (FX) rate 28, 53–54, 56–60
- foreign investors 11–12, 47, 113–116, 154
- free float (FIF) ratio 76–77, 135–136
- FSA (Financial Services Agency) 43
- Fukushima nuclear accident 28, 137–143
- G7 economy 29–30
- G7 OECD CLI 3
- Chinese influence 10
- elements of 12–13
- foreign investors 11–12
- peaks and troughs calculation 7
- time series 3, 4–5, 6
- TOPIX trade 6, 7
- US presidential elections 63
- VAT hike 38
- weights 3, 4–5
- “win ratio” 13
- GDP (Gross Domestic Product) growth 10, 61
- global financial crisis 10, 92, 102, 109
- Goldilocks Market 155, 158, 165–166
- government bonds 48
- Government Pension Investment Fund (GPIF) 8, 11, 37–38, 39–43, 74
- Great East Japan Earthquake 28, 137–143
- Greeks sensitivities 78
- Gross Domestic Product (GDP) growth 10, 61
- Halloween effect 20, 149, 162
- heavily weighted stocks 60
- hedge funds 21, 58, 96, 113–115
- hedge ratio 79
- hedging activity/hedgers 71–72, 78–82, 83–88
- high‐volatility stocks 41
- historical time series 15–16
- historical volatility 68, 70–71
- housing markets 50
- implied volatility 68, 70–71, 91
- in‐the‐money (ITM) options 79
- index constituent stocks 96
- index funds 71, 72–77, 79
- index rebalancing rules 74–76
- inflation 49–50, 53, 98, 107, 156
- Institute of Supply Management Purchasing Managers Index see ISMPMI
- institutional investors 43, 57, 116–117
- insurance companies 49, 143
- interest rates
- internet bubble 8, 10
- inverse ETFs 87–89
- ISMPMI 17–20
- 2017‐18 153–155, 153
- market tops/bottoms 97–98
- US economic downturn 32, 36
- issuance of convertible bonds 82–83
- ITM (in‐the‐money) options 79
- J‐Real Estate Investment Trusts (J‐REIT) 37, 46
- Jobs Act, US 148, 154, 163
- jumps
- implied volatility 70, 91
- share prices 85
- Kakei Gakuen scandal 147
- KAX index 49
- “knock‐in barrier” 77, 79–81
- “knock‐out barrier” 77, 81
- Koizumi Bull Market 57
- Koizumi, Junichiro 29–30, 57–58
- Korean Peninsula 147
- Kuroda Bazooka 23, 31–35, 37
- Kuroda, Haruhiko 31–32
- large‐cap stock splits 134
- LDP see Liberal Democratic Party
- leading indicators 3–14
- Lehman Brothers 90–91
- leveraged ETFs 87–89
- Liberal Democratic Party (LDP) 10, 28–30, 154, 165–166
- life insurance 49
- liquidity, index funds 76
- listed options 78
- long‐call position 79, 84
- long‐dated interest rates 156
- long option position, convertible bonds 87
- long‐term equity holders 76–77
- long‐term interest rates 48–49
- low‐volatility stocks 41–43
- Lumentum Holdings 150
- macro indicators 1–23
- management entities' purchases 46
- mandatory conversion clause 86
- manufacturing data 14, 16, 18, 150–151
- market bottoms 93–109
- market capitalization 121, 130, 136
- market crashes, volatility 70
- market movers 111–143
- market sentiment 123–124
- market tops 93–109
- Markit US data release 150–151
- mass mentality effect 20–21
- maturity, convertible bonds 84–85
- media reports 41, 43, 139
- momentum factors 117, 119–122
- monetary base growth 57
- monetary/quantitative easing 8, 32–39, 42, 52, 163
- Bank of Japan 32–34, 46
- tapering policy 33, 35–36
- Morgan Stanley Capital International indices see MSCI indices
- Moritomo scandal 147
- MSCI indices 41–45, 44, 55–56, 73
- MSCI Japan ESG Leaders Index 43–45, 44
- MSCI Japan Index 44, 73
- MSCI Japan Minimum Volatility Index 41–42
- MSCIUSA ESG Index 45
- natural disasters 136–143
- near‐term volatility forecasting 70–71
- negative interest rate policy (NIRP) 47–51, 155
- Nikkei 225
- 60‐day Bollinger Bands 159–160, 159
- 2004‐2006 57
- 2005 rise 29
- 2012‐2013 performance 32, 33, 35
- average volatility 68–69
- correlation spikes 97
- election effects 154
- factor analysis 117
- movement due to natural disasters 140, 140
- percentage decline 106–107
- S&P 500 comparison 151–154, 152
- seasonality 21, 22, 162
- tracking error 73–74
- trading by OECD CLI 6
- treasury yield 156–158, 156
- underlying assets 88
- see also TOPIX index
- Nikkei put/call ratio 89
- NIRP see negative interest rate policy
- Nixon, Richard 64, 147
- Noda, Yoshihiko 29
- OECD CLI 3–14
- economic reality measure 56
- Economy Watchers' DI contrast 17
- factor analysis 121–122
- foreign investment effects 115
- ISMPMI comparison 19
- market tops/bottoms 97–98
- seasonality 162–164, 163
- “threshold value” 16
- time series 15, 18
- US presidential elections 63, 64
- see also G7 OECD CLI
- oil crises 64
- oil price 12, 38
- option‐imbedded instruments 77–79
- option skew 90
- options
- call option 83–84
- market volatility 68
- terminology 77
- Organization of Economic Co‐operation and Development Composite Leading Indicators see OECD CLI
- out‐of‐the‐money (OTM) options 79
- over‐the‐counter market 78, 89
- overseas companies 59–60
- policy impact 25–64
- policy indicators 97–101
- policy rates 52
- portfolio management 41
- portfolio review 39
- positive surprises 19–20
- power companies 143
- presidential elections, US 60–64, 69
- price momentum factors 120–121
- price‐to‐book ratio (P/B) 102–103, 107–109, 117–118
- price‐to‐cash flow ratio (PCF) 121
- price‐to‐earnings ratio (P/E) 102–103, 107–108, 118, 121
- profit, market bottoms 95
- put‐imbedded instruments 77–78, 79
- put/call ratio 89–90
- railway companies 127
- real estate investment trusts (REITs) 37, 46
- real estate sector 143
- “real‐time” data points 7–8
- rebalance trades 74–76
- recap CBs 83
- regional asset allocation 113–114
- REITs see real estate investment trusts
- relative strength index (RSI) 104, 160–161
- retail investors 78, 113
- return on asset (ROA) 118–119, 132
- return on equity (ROE) 118–119, 121, 127–128, 130, 132
- reverse splits 133, 134
- reversion factors 119–120
- risk‐off investors 58, 60, 156
- risk‐on investors 58, 60
- risk‐parity funds 42, 96, 115
- ROA see return on asset
- ROE see return on equity
- RSI see relative strength index
- Russian ruble sell‐off 38, 51
- S&P 500 Index 54
- 2017‐18 155
- earnings yield spread 157, 157
- Nikkei 225 comparison 151–154, 152
- volatility 90
- seasonality 20–23
- adjustments 15–18
- bull markets 30
- Economy Watchers' DI 15–16
- factor returns 118, 120, 122–125, 127
- ISMPMI 17–18
- OECD CLI 162–164, 163
- share buybacks 129
- sector bias 136
- sector‐neutral approach 117
- sector‐relative P/E 121
- sector rotation 124–127, 126
- securities firms 78, 80
- “sell” market 5
- “Sell in May” 20, 21, 23
- “sell” signal
- Bollinger Bands 160
- correlation coefficient 97
- TOPIX trade 6, 18–19
- selling momentum 122
- sensitivity, options value 78
- share buybacks 127–130
- share prices
- convertible bonds 83, 85–86
- free float factors 135
- oil price correlation 38
- stock splits 133, 134, 135
- valuation 103
- shares–CBs relationship 82
- short‐dated interest rates 156
- short position, convertible bonds 83, 86–87
- short‐term equity holders 76–77
- short‐term interest rates 48–49
- single‐stock options 84
- skew, put/call ratio 90
- small‐cap stock splits 134
- “smart beta” indices 41
- “social” concept, ESG 44
- speculators' trade 71
- spikes 70, 91–92, 96
- spread, interest rates 48–49, 54, 157–158
- Standard & Poor's 500 Index see S&P 500 Index
- standard deviation 67–68, 105
- stock movements 96
- stock performance, seasonality 127
- stock splits 133–136
- structured products 77–82
- suckerfish investors 75, 77
- supply‐demand imbalance 70–71
- surprises 19–20, 69
- tapering monetary easing 33, 35–36
- Tax Cuts and Jobs Act, US 148, 154, 163
- tax hikes 36–38, 51–52, 61
- technical factors 117
- technical indicators 34, 101–109, 159–162
- Three Mile Island accident 139, 141
- Tokyo Price Index see TOPIX index/futures
- top‐down investment style 113
- top of the market 93–109
- topical performers 127
- TOPIX index/futures
- 7‐year Average P/B 109
- 2011 sector performance 142, 143
- 2018 onwards 164
- backtest 12
- capital spending 50
- consumption tax hike 36
- deviation from moving average formula 5
- ETF purchases 46–47
- G7 OECD CLI trade 6, 7
- GPIF management 40
- inverse/leveraged ETFs 88
- ISMPMI trade 18, 19
- “Long/Short Return” 8
- OECD CLI trade 6, 7, 9
- P/E and P/B ratios 107, 108
- passive funds tracking 73
- peaks and troughs calculation 7
- seasonality adjustment 16
- “Sell in May” 20, 21
- see also Nikkei 225
- Toraku ratio 105–106, 106, 160–161
- Toshiba 44–45
- tourist traffic 125
- TPP (Trans‐Pacific Partnership) 62–63
- tracking error, index funds 73–74, 76
- Trans‐Pacific Partnership (TPP) 62–63
- treasury yield 156–158, 156–157
- Trump, Donald/”Trump factor” 62–64, 69, 147–148, 150, 163, 166
- underlying asset price 78–81, 84, 87–88
- unemployment rate 99
- United States see US…
- upside volatility 69
- US 10‐year treasury yield 156–158, 156–157
- US–China trade war 148–150, 164
- US economy
- US equity market
- “bubbles” 165
- “buy and hold” strategy 11
- OECD CLI signal 8, 10
- oil crises 64
- seasonality 162–164
- Tax Cuts and Jobs Act effects 154
- US FX rate–Japan links 28
- US presidential elections 60–64, 69
- US security threats 147, 154
- USDJPY–Nikkei correlation 152
- valuations 101–109
- value added tax see VAT/consumption tax hikes
- value factors 116–118, 122, 131
- value stocks 41
- VAT/consumption tax hikes 36–38, 51–52, 61
- VIX Index 90–92, 91, 106–107, 115, 161–162, 161
- volatility 67–71
- foreign investors 115
- GPIF 40–43
- as indicator 95–97
- ISMPMI time series 18–20
- momentum factors 121
- VIX Index 90–92
- volatility spikes 70, 91–92, 96
- Wanzhou, Meng 150
- Watergate scandal 64, 147
- y effect 84–86, 88
- Yellen, Janet 36
- yen carry trades 54
- yield spreads 157–158
- yields, long‐term 49
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