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Đầu tư theo chỉ số
NXW Investment Library · 8 modules · 37 chapters

Đầu tư theo chỉ số

Based on the book Index Investing: From Theory to Practice (Dr MAI Huu Minh, TRAN Phan Bao Ngoc & HUYNH Nguyen Quoc Buu)

What an index is, why indexing works, how to design, build and test an index, the products that track it, how to invest for life, the IFRC-NXW Global Indexes case study – and the latest trends: ESG and gender equality, climate-risk, carbon, commodity, housing, derivatives-based, currency and crypto-asset indexes, factor-weighted smart indexes, and the new indexes of Vietnam. Also in Vietnamese: Đầu tư Chỉ số (Chapter 1 free in Resources > Documents).

Đọc chương 1 (miễn phí)Mục lục
Mục lục

8 modules, 37 chapters

Chapter 1 is free to read online; the other chapters open a preview with their objectives and sections.

2

Module 2 – Theory

4 chapters
4Đa dạng hóa danh mục và Lý thuyết Danh mục Hiện đại (MPT)
Why owning many stocks beats owning a few
9 sections4.1 Risk and return4.2 Covariance and correlation4.3 The two-asset portfolio4.4 The efficient frontier4.5 Systematic and specific risk4.6 The CAPM and beta4.7 Why the market portfolio is the natural starting point4.8 The limits of modern portfolio theory4.9 Diversification in Vietnam and Asia
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5Hiệu quả thị trường và Số học quản lý danh mục chủ động
Why beating the market is hard – and why the average investor cannot
9 sections5.1 What “efficient” means5.2 Three forms of efficiency5.3 Random walks5.4 The arithmetic of active management5.5 What fund scorecards measure5.6 Luck, skill and persistence5.7 The Grossman – Stiglitz paradox5.8 Where markets may be less efficient5.9 What this means for the index investor
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6Chi phí, Thuế và Sức mạnh Lãi kép
The small numbers that decide your final wealth
8 sections6.1 The power of compounding6.2 The cost matters hypothesis6.3 Visible costs6.4 Hidden costs6.5 How much do fees take over a lifetime?6.6 Taxes6.7 Inflation and real returns6.8 The total cost of ownership
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7Nhân tố và Chỉ số Thông minh (Smart Beta)
Value, size, momentum, quality, low volatility – and the rules that capture them
9 sections7.1 From one factor to many7.2 Fama – French, Carhart and the multi-factor models7.3 The main factors7.4 Why might factor premia exist?7.5 Cyclicality and long drawdowns7.6 Crowding, capacity and costs7.7 Smart beta: rules-based active management7.8 Multi-factor indexes7.9 Using factors wisely
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3

Module 3 – Index design

5 chapters
8Không gian đầu tư, Điều kiện và Tiêu chí chọn lọc
Deciding which securities get into the basket
8 sections8.1 Three filters: universe, eligibility, selection8.2 Defining the universe8.3 Eligibility screens8.4 Foreign-ownership limits and foreign room8.5 Selection: top-N, coverage and scores8.6 Buffer zones and fast entry8.7 Investability versus representativeness8.8 Exchanges in Vietnam: HOSE, HNX and UPCoM
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9Các phương pháp gán trọng số
How much of each stock goes into the basket
9 sections9.1 Why weighting matters9.2 Market-cap and free-float weighting9.3 Capped weights and the 5/10/40 rule9.4 Equal weighting9.5 Fundamental weighting9.6 Score-tilted and dividend-weighted indexes9.7 Risk-based weighting9.8 Measuring concentration9.9 Capacity and turnover: the price of diversification
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10Tái cân bằng, Tái lập cơ cấu và Hành động doanh nghiệp
Keeping the basket true as companies change
8 sections10.1 Two kinds of maintenance10.2 Review calendars and key dates10.3 Turnover, its cost and the inclusion effect10.4 The divisor: keeping the index continuous10.5 Cash dividends: price and total return10.6 Stock dividends, bonus shares and splits10.7 Rights issues and new shares10.8 Mergers, spin-offs, suspensions, delistings and IPOs
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11Chỉ số Ngành, Theo chủ đề, ESG và Đa tài sản
Slicing the market, scoring themes and mixing asset classes
9 sections11.1 Why slice the market?11.2 Sector classification systems11.3 Sector and country indexes11.4 Thematic indexes and exposure scores11.5 The pitfalls of thematic indexes11.6 ESG and climate indexes11.7 Commodity and gold indexes11.8 Bond indexes11.9 Multi-asset and strategy indexes
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12Quản trị chỉ số và Tài liệu phương pháp luận
Who writes the rules, who can change them, and how to write them down
8 sections12.1 Why governance matters12.2 The IOSCO Principles for Financial Benchmarks12.3 The EU Benchmarks Regulation12.4 Index committees and the governance structure12.5 Conflicts of interest and self-indexing12.6 Consultations, discretion and its limits12.7 Error correction and cessation12.8 How to write a methodology document
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4

Module 4 – Build and test

5 chapters
13Dữ liệu phục vụ xây dựng chỉ số
Prices, shares, corporate actions – and the errors hiding in them
9 sections13.1 Garbage in, garbage index13.2 What data an index needs13.3 Prices: adjusted and unadjusted13.4 Point-in-time and survivorship-free data13.5 Common data errors and how to detect them13.6 A data quality checklist13.7 Where the data come from13.8 Licensing: who owns the numbers?13.9 Storing index data
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14Xây dựng chỉ số đầu tiên của bạn trên Excel
A five-stock index, ten days, every formula
11 sections14.1 Why start with a spreadsheet?14.2 Designing the workbook14.3 The example: five stocks over ten days14.4 Weights and index shares14.5 The daily calculation: market value, divisor, level14.6 Dividends and the total-return index14.7 The quarterly rebalance14.8 The stock split14.9 Returns, volatility and drawdown14.10 Charts that tell the truth14.11 Common spreadsheet errors and the checks that catch them
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15Phát triển Động cơ tính chỉ số trên ngôn ngữ R
From data frames to a reusable, tested index calculator
9 sections15.1 From spreadsheet to script15.2 The engine at a glance15.3 Data structures: think long, calculate wide15.4 Weights and index shares15.5 The rebalancing schedule15.6 calc_index(): divisor, price and total return15.7 Performance and risk statistics15.8 Testing the engine with testthat15.9 From numbers to charts and a dashboard
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16Kiểm thử lịch sử trung thực, không tự lừa dối
Biases, overfitting and the gap between paper and practice
10 sections16.1 What a back-test is16.2 Look-ahead bias: using tomorrow’s newspaper16.3 Survivorship bias: the graveyard is missing16.4 Costs, capacity and unrealistic prices16.5 Data snooping, multiple testing and overfitting16.6 The deflated Sharpe ratio, intuitively16.7 In-sample, out-of-sample and walk-forward16.8 Time-period dependence16.9 Back-test versus live: the gap16.10 Reading other people’s back-tests: a checklist
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17Nghiên cứu tình huống: Bộ chỉ số toàn cầu IFRC-NXW
From a universe of 100,000 indexes in ten levels to eight flagship indexes: design, calculation and publication
9 sections17.1 Who builds the indexes: IFRC and NXW17.2 A universe in ten levels17.3 How a family reaches 100,000 indexes17.4 The eight flagship indexes and their place in the ten levels17.5 The methodology and its trade-offs17.6 The daily calculation process17.7 What the simulated histories show17.8 Publication in the NXW online monitor17.9 Governance: the committee and the change log
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6

Module 6 – Invest

5 chapters
21Đầu tư chỉ số tại Việt Nam và Châu Á
Local benchmarks, foreign limits, market upgrades and regional choices
9 sections21.1 Why markets differ21.2 The structure of Vietnam’s stock market21.3 The local benchmarks21.4 Domestic ETFs and index funds21.5 Foreign-ownership limits21.6 Market classification and reforms21.7 Estimating index-inclusion flows21.8 Asian markets for the index investor21.9 Currency risk and home bias
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22Xây dựng danh mục đầu tư chỉ số trọn đời
Goals, allocation, rebalancing and the long road to retirement
10 sections22.1 Start with the goal, not the fund22.2 Risk capacity and risk tolerance22.3 Foundations first: cash, insurance and debt22.4 Core and satellite22.5 Asset allocation with three to five funds22.6 Home bias and global diversification22.7 Rebalancing: keeping the plan on course22.8 Lump sum or regular investing?22.9 Glide paths and target-date funds22.10 Retirement withdrawals and sequence risk
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23Tâm lý hành vi và Các cạm bẫy đầu tư
Why good funds produce poor investors – and how to protect yourself from yourself
8 sections23.1 The behaviour gap23.2 How our minds mislead us23.3 Loss aversion and prospect theory23.4 Chasing performance and timing the market23.5 The diversification illusion23.6 Product traps23.7 Vietnam and Asia: retail markets and short horizons23.8 Rules that protect you from yourself
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24Tương lai của ngành chỉ số
Personal indexes, AI, new assets – and what will not change
11 sections24.1 Where indexing stands24.2 Direct indexing: an index of one24.3 Self-indexing, custom indexes and index-as-a-service24.4 AI and new data in index design24.5 Active ETFs and the blurred line24.6 Tokenisation, digital assets and 24-hour markets24.7 Passive ownership: the debate24.8 Indexing beyond listed stocks24.9 Emerging markets and Vietnam24.10 Three scenarios for 203524.11 What will not change
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25Nền tảng chỉ số trên điện toán đám mây
Data ready, formulas in a library, a new index in seconds – how it helps and how it makes money
9 sections25.1 The index value chain25.2 The six layers of an index platform25.3 From idea to index in seconds25.4 How a platform helps – and whom25.5 Business models25.6 Regulation and governance25.7 Risks and pitfalls25.8 Case study: the NXW platform25.9 Building a minimal platform yourself
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7

Module 7 – Latest index trends and innovations

10 chapters
26Chỉ số ESG và Khí hậu: Các xu hướng mới nhất
Từ phương pháp loại trừ đến các chuẩn mực Thỏa thuận Paris, chuyển đổi và tác động
10 sections26.1 Where ESG indexing stands in 202626.2 The regulatory reset in Europe26.3 Disclosure goes global: ISSB and the new data26.4 Paris-aligned and climate transition indexes26.5 Transition and climate-solutions indexes26.6 Nature, social and impact indexes26.7 ESG data and ratings divergence26.8 Fixed income: ESG and green-bond indexes26.9 ESG indexes in Asia and emerging markets26.10 How to evaluate an ESG or climate index
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27Chỉ số Rủi ro Khí hậu, Thời tiết và Thảm họa
Đo lường rủi ro vật lý: nhiệt độ, phái sinh thời tiết, trái phiếu thảm họa và điểm số rủi ro khí hậu
10 sections27.1 Two kinds of climate risk27.2 Climate data indexes: measuring the warming27.3 Indexes of extremes, vulnerability and loss27.4 Weather indexes: degree days and the weather market27.5 Rainfall and parametric insurance27.6 Catastrophe bonds and cat bond indexes27.7 Climate-risk scores in equity indexes27.8 Building climate-risk indexes: data, models, scenarios and basis risk27.9 Asia and Vietnam27.10 A checklist for any climate-risk or weather index
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28Thị trường Carbon và Chỉ số Carbon
Định giá phát thải: thị trường bắt buộc và tự nguyện, tín chỉ carbon và các chỉ số theo dõi
9 sections28.1 Why put a price on carbon?28.2 Compliance markets around the world28.3 How allowances are traded28.4 The voluntary carbon market28.5 Carbon prices around the world28.6 Carbon indexes and the products that track them28.7 Risks: policy, volatility, liquidity and credit quality28.8 Carbon in a portfolio28.9 A checklist for any carbon index or product
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29Chỉ số Hàng hóa: Thế hệ mới
Từ GSCI và BCOM đến kỹ thuật cuốn chiếu nâng cao, phần bù rủi ro và chỉ số chuyển đổi năng lượng
10 sections29.1 Three generations of commodity indexes29.2 The first-generation benchmarks29.3 Spot, roll and collateral: the contango problem29.4 The second generation: enhanced roll and constant maturity29.5 The third generation: risk premia, carry and momentum29.6 Thematic indexes: battery metals, gold and agriculture29.7 Carbon and ESG in commodity indexes29.8 Asia and Vietnam29.9 Case: the NXW Gold Plus index29.10 A checklist for any commodity index
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30Chỉ số Nhà ở và Bất động sản
Giá nhà, phương pháp lặp doanh số, mô hình hưởng lạc hedonic, chỉ số REIT và bất động sản số hóa (tokenized)
10 sections30.1 Why housing is hard to index30.2 Five ways to measure house prices30.3 Worked example: composition bias and a five-pair repeat-sales index30.4 The major house price indexes30.5 Commercial real estate and the smoothing problem30.6 Listed real estate: REIT indexes30.7 Investable housing exposure30.8 Uses: macroeconomics, mortgages and policy30.9 Asia and Vietnam30.10 A checklist for any property index
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31Chỉ số Dựa trên Chứng khoán Phái sinh
Chỉ số biến động thị trường, chỉ số chiến lược quyền chọn và chỉ số hợp đồng tương lai
10 sections31.1 Index derivatives versus derivatives-based indexes31.2 A taxonomy of derivatives-based indexes31.3 Implied-volatility indexes: the VIX and its cousins31.4 Futures-based indexes31.5 Option-strategy indexes I: buy-write and covered call31.6 Option-strategy indexes II: put-write, collars and buffers31.7 Risk-control and volatility-target indexes31.8 The product boom and the evidence31.9 Asia and Vietnam31.10 A checklist for evaluating a derivatives-based index
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32Chỉ số Tiền tệ
Chỉ số Đô la Mỹ (DXY), tỷ giá theo trọng số thương mại và các chỉ số chiến lược ngoại hối
9 sections32.1 Why measure a currency with an index?32.2 The US Dollar Index (DXY)32.3 Trade-weighted and effective exchange rate indexes32.4 Other currency indexes32.5 How currency indexes are calculated in practice32.6 Investable currency indexes and strategy indexes32.7 Using currency indexes32.8 Asia and Vietnam32.9 Risks and a checklist
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33Chỉ số Tài sản Mã hóa
Chuẩn mực Bitcoin, chỉ số vốn hóa thị trường có giới hạn trần, tỷ giá tham chiếu và các quỹ crypto ETF
10 sections33.1 Why crypto needs indexes33.2 Reference rates and pricing33.3 Broad market indexes33.4 Construction choices33.5 Crypto ETFs and ETPs33.6 Strategy and thematic crypto indexes33.7 Risks33.8 Governance and regulation of crypto benchmarks33.9 Asia and Vietnam33.10 A checklist for any crypto index or product
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34Trọng số Nhân tố và Chỉ số Thông minh (Smart Beta)
Vượt ra ngoài vốn hóa: chỉ số cơ bản, dựa trên rủi ro, nghiêng nhân tố và đa nhân tố: thế hệ mới
9 sections34.1 Why look beyond cap weighting?34.2 A map of weighting approaches34.3 Fundamental weighting and the rebalancing effect34.4 Risk-based weighting: from inverse volatility to equal risk contribution34.5 Factor scores, tilts and multi-factor design34.6 The new generation34.7 The costs of being smart34.8 How to evaluate a smart index34.9 Asia and Vietnam
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35Chỉ số tại Việt Nam: Thế hệ mới
Nâng hạng thị trường, ESG và carbon: các chỉ số tương lai cho nhà đầu tư Việt Nam
8 sections35.1 A market at a turning point35.2 Vietnam’s index landscape today35.3 ESG in Vietnam: the building blocks35.4 ESG data gaps and an ESG-tilted index35.5 Vietnam’s carbon market: law and pilot35.6 Carbon credits, CBAM and a plant’s carbon position35.7 The next indexes35.8 Risks and challenges
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