Building an ETF Universe: Selection First Pass
We are building a very simple version zero of a money machine: a long-only ETF portfolio, managed without explicit leverage (though with some implicit leverage via a mortgage), based in the United Kingdom through the broker Hargreaves Lansdown. Holdings will only be adjusted once per quarter. These are the very practical constraints and cornerstones for building a particular type of money machine that allocates wealth holdings between a selection of 'productive assets' or 'forms of value representation' such that we gain a robust amount of diversification, thus increasing risk adjusted skill of this 'constant bullish' investment hypothesis.
This exercise is not only a first prototype for systematic portfolio design but also a concrete example of the more general problem faced by anyone seeking to manage their own retirement investments.
The allocation framework we are implementing is a version of hierarchical risk parity. Assets are grouped into categories, and risk is distributed across these categories in proportion to their position in the hierarchy. Portfolio adjustments over time are driven only by changes in asset risk and market prices.
At this initial stage, no active signals are incorporated. Implicitly, we assume that each unit of risk is associated with the same expected return, regardless of asset class. ETFs are chosen as the building blocks, since they provide simple, cost-effective exposure to a broad range of underlying markets.
The immediate task we tackle in this article is to select a universe of suitable ETFs that represent the layers of our intended hierarchy. Using ETF listing and screening platforms such as justETF.com and Morningstar, we compile selective lists of high-quality ETFs across a wide set of categories. From these candidates, we can construct a hierarchical risk parity portfolio and investigate statistically derived hierarchies.
Bottom-Up: Starting from the ETF Market
A natural first step is to explore the structure that ETF providers and listing platforms already present. The website justETF.com offers a screening tool that groups ETFs into broad categories and subcategories.
Restricting attention to London-listed ETFs (to ensure availability through Hargreaves Lansdown), we begin with the highest-level classification:
All Asset Classes (2030)
- Equity (1297)
- Bonds (579)
- Precious Metals (39)
- Commodities (77)
- Real Estate (24)
- Money Market (14)
The numbers in brackets show the number of different ETFs available in each of the categories.
We are ignoring the Money Market category, as this would be holdings to keep un-invested cash, but we are planning for an always fully invested strategy, so we do not need the money market instruments.
Real Estate comprises ETFs that hold companies that manage real estate. While this is a productive asset class that generates 'yield' from rental income, we ignore it for our portfolio, as we already have an overweight in real estate from physical holdings.
The Commodities ETFs are providing exposure to (usually front month) futures of a wide range of commodities. These are not in themselves productive assets, but are produced and consumed as part of industrial processes. Their value is subject to variations in the supply demand balance and there is no natural long-bias, thus they are much better suited for a long-short signal driven portfolio, which can access them via futures, hence we are ignoring them as well in our portfolio.
We are investigating the sub-categories in each of the remaining asset classes (Precious Metals, Equity, Bonds), identifying the different underlying exposures, and selecting a set of ETFs to use going forward to represent these exposures for our ETF universe.
Selection Criteria and aim
This is the first round of selecting relevant indices and ETF expressions. At this stage we are not yet settling on a single hierarchy or index providers, rather we are selecting all indices that have 'best-in-class' ETF expressions, within a range of specialisation and diversification that is relevant for portfolios ranging from very small to significant, while still not large enough that they would eschew ETFs for direct single instrument expressions, or run more sophisticated strategies by default.
To select admissible ETFs and indices we are requiring ETFs with TER <0.5%, a fund size >£100m, and a full replication or optimised sampling replication method (no unfunded swaps).
With our account sizes we will end up with a couple dozen holdings at maximum, so we are investigating hierarchy levels down to country level, but are not distinguishing sectors within countries, or different maturities in bond ETFs.
If multiple ETFs are expressing the same index, we will pick the cheaper, bigger, longer history version, in a lexicographic ordering.
From Criteria to a Working Universe
The objective of this first pass is deliberately modest: define a clean, tradeable ETF universe that respects our constraints (HL venue, GBP base, quarterly rebalancing, no explicit leverage) and is broad enough to support a hierarchy-based allocation. The selections above are therefore inputs, not outcomes. They specify what we can own, not what we must own.
Several scope limits are intentional. We prioritise large, liquid, low-cost funds with transparent replication and sufficient history. We do not resolve overlaps across index families at this stage, nor do we enforce perfect regional partitioning or factor neutrality. We also defer thematic tilts, sector detail, and ESG/Paris-aligned construction to a dedicated analysis, so that the baseline remains methodologically plain and reproducible.
The next step is quantitative. Using the universe below, we will:
- collect and validate return, volatility, and correlation data;
- construct top-down hierarchies (by issuer type, region, currency) and bottom-up hierarchies (statistical clustering, PCA loadings);
- compare resulting trees and choose a practical structure for hierarchical risk parity sizing under quarterly rebalancing.
What follows is the consolidated table set: the ETF Universe v0. It is the reference inventory for all subsequent tests and allocations. Each entry lists index, ETF, ISIN, ticker, and key notes. As we iterate, individual line items may change, but the selection principles and the role of this universe—as the stable substrate for a version-zero money machine—remain the same.
Precious Metals
The 39 instruments available in this category relate to only five underlying exposures: gold, silver, platinum, palladium, and a single instrument for rhodium.
Unlike equities or bonds, precious metals are not productive assets. They do not generate cash flows or yield. Instead, they are best understood as alternative stores of value, whose price is determined by scarcity, investor demand, and (to a lesser extent) industrial use. This also marks the definitional distinction from industrial metals such as copper or nickel, which are primarily used in production processes.
Most of the listed products are structured as Exchange Traded Commodities (ETCs) rather than ETFs, because European UCITS rules prohibit funds that track a single undiversified commodity. These ETCs may be:
- Physically backed, where each share is secured by metal held in vaults (common for gold and silver).
- Synthetic, where exposure is obtained via futures contracts (more common for platinum and palladium).
From a portfolio perspective, precious metals can provide:
- Diversification, as their drivers often differ from those of equities and bonds.
- Inflation protection, particularly in the case of gold.
- Crisis hedging, as demand for gold in particular tends to rise during periods of market stress.
However, their role is limited by the absence of yield and by the fact that long-term returns depend entirely on price appreciation.
In addition to simple Exchange traded commidities for the individual metals with fund currency in USD there are also some additional options available:
- Currency hedged, removing the FX risk between the USD and the investors GBP home currency
- A precious metals basket, giving exposure to Gold, Silver, Platinum, and Palladium in a fixed ratio, at higher annual cost
- An actively managed fund, that adds an options strategy to gold holdings to generate yield
From this asset class we are selecting the following assets:
| Exposure | Name | ISIN | Ticker | TER |
|---|---|---|---|---|
| Gold | iShares Physical Gold ETC | IE00B4ND3602 | SGLN | 0.12% |
| Silver | iShares Physical Silver ETC | IE00B4NCWG09 | SSLN | 0.20% |
| Platinum | iShares Physical Platinum ETC | IE00B4LHWP62 | SPLT | 0.20% |
| Palladium | iShares Physical Palladium ETC | IE00B4556L06 | SPDM | 0.20% |
| Precious Metals | WisdomTree Physical Precious Metals | JE00B1VS3W29 | PHPP | 0.44% |
The chosen instruments balance low-cost single exposures with a diversified basket option, which can be used for small account sizes.
Equities
Equities can be sorted by region and country, each based on collections of companies in equity indices, such as the S&P500, FTS100, Eurostox600 etc. This grouping of Equity ETFs provides geographic diversification.
In addition there are equity ETFs that separate companies within a country, mostly the US by industry sector. For larger account sizes this can be a useful addition to spread the risk more evenly across sectors, compared to a capitalisation-based index like the S&P500.
There is also a, relatively new, set of theme-based ETFs, which can be used as equity-like alternative investments, which will give exposure to particular macro-economic themes or economic rationales, such as wood- or water- based companies, or energy transition, climate change, or others.
Finally there is the notion of active ETFs, which are implementing certain tactical allocation strategies, such as a momentum strategy, leveraged holdings, or even discretionary active management. We avoid these expressions on cost-basis (if at all we can have a glance over momentum ETFs).
We are first developing the regional and national index-based ETF hierarchy available on justETF (HL) and then an alternative/sector-based one.
Global
Global equity ETFs that track world-level indices provide the simplest way to gain diversified exposure across countries and regions. By following benchmarks such as the MSCI World, FTSE All-World, or Solactive Global Markets, these funds combine hundreds to thousands of stocks into a single tradeable vehicle. They are particularly useful when account size or simplicity dictates choosing just one equity allocation, or when an investor wants to pair a global basket with more focused exposures (for example, holding US equities directly and using a “World ex US” ETF for the rest). These instruments represent the top layer of the equity hierarchy, offering an efficient, low-cost entry point into international diversification.
| Index | Market Cap Coverage | Regional Scope | Use Case | ISIN | Ticker |
|---|---|---|---|---|---|
| MSCI World | Large & Mid | 23 Developed Markets | Core global equity exposure, developed markets only | IE000BI8OT95 | MWRL |
| MSCI All Country World Index (ACWI) | Large & Mid | 23 Developed + 24 Emerging | One-ticket global equity (developed + emerging) | IE00B44Z5B48 | ACWI |
| MSCI All Country World Investable Market (IMI) | Large, Mid & Small | 23 Developed + 24 Emerging | Broadest global benchmark, includes small caps | IE00B3YLTY66 | IMID |
| FTSE All-World | Large & Mid | Developed + Emerging | Alternative to ACWI, widely used for global coverage | IE000716YHJ7 | FWRG |
| FTSE Developed | Large | Developed Markets | Simple developed-only exposure | IE00BK5BQV03 | VHVG |
| Solactive GBS Global Markets L&M Cap | Large & Mid | Developed + Emerging | Low-cost global alternative to MSCI/FTSE | IE0009HF1MK9 | PACW |
| Solactive GBS Developed Markets L&M Cap | Large & Mid | Developed Markets | Low-cost developed-only alternative | IE000QIF5N15 | MWOZ |
| MSCI World ex USA | Large & Mid | Developed Markets (ex USA) | Combine with US exposure to build tailored global mix | IE0006WW1TQ4 | XMWX |
Global - Themes
Thematic global equity ETFs offer targeted exposure to structural trends that cut across countries and industries. Rather than tracking broad benchmarks, these funds concentrate portfolios around specific themes such as artificial intelligence, clean energy, robotics, or healthcare innovation. They are equity-like in their behaviour, but serve as alternative expressions within a portfolio, allowing investors to place long-term bets on technological, demographic, or environmental shifts. Used sparingly, they can complement core holdings by adding distinct sources of potential growth and diversification at the global level.
For equities on global level we have the following themes:
| Theme | ISIN | Ticker |
|---|---|---|
| Aging Population | IE00BYZK4669 | AGES |
| AI and Big Data | IE00BGV5VN51 | XAIX |
| Batteries | IE00BKLF1R75 | CHRG |
| Blockchain | IE000RDRMSD1 | BLKC |
| Clean Energy | IE00BK5BCH80 | RENG |
| Climate Change | IE00BMDWYZ92 | JPTC |
| Cyber Security | IE00BG0J4C88 | LOCK |
| Digitalisation | IE00BYZK4883 | DGIT |
| Future Mobility | IE00BGL86Z12 | GCAR |
| Hydrogen | IE00BMYDM794 | HTWG |
| Healthcare Innovation | IE00BYZK4776 | DRDR |
| Aerospace & Defense | IE000U9ODG19 | DFND |
| Infrastructure | IE00BQWJFQ70 | GIN |
| Private Equity | IE0008ZGI5C1 | FLPE |
| Robotics & Automation | IE00BYZK4552 | RBTX |
| Semiconductors | IE00BMC38736 | SMGB |
| Clean Water | IE00BK5BC891 | GLGG |
Regional
Regional equity ETFs provide targeted exposure to specific continents or blocs, allowing investors to adjust global allocations or make focused bets on areas of strategic interest. They cover broad developed and emerging regions such as Europe, North America, and Asia-Pacific, while also offering more granular options like Latin America or World ex-China. In addition, many providers now offer ESG-enhanced or climate-aligned versions of the major regional benchmarks, giving investors the ability to tilt portfolios towards sustainability themes while maintaining diversified regional exposure.
| Region | Index Name | Market Cap Coverage | Regional Scope | Use Case | ISIN | Ticker |
|---|---|---|---|---|---|---|
| Latin America | MSCI EM Latin America 10/40 | Large & Mid | Emerging Latin America | Single-ticket LatAm exposure with concentration caps | IE00B27YCK28 | LTAM |
| North America | FTSE North America | Large & Mid | USA + Canada (developed) | Broad North American equity exposure | IE00BK5BQW10 | VNRG |
| North America | MSCI North America | Large & Mid | USA + Canada (developed) | Alternative to FTSE; MSCI methodology | IE00B14X4M10 | INAA |
| North America | FTSE North America All Cap Choice | Large, Mid & Small | USA + Canada (developed) | Broader size coverage (incl. small caps) | IE000O58J820 | V3NB |
| Africa | — | — | — | Coverage exists but investable ETFs too small/expensive | — | — |
| Eastern Europe | — | — | — | Coverage exists but investable ETFs too small/expensive | — | — |
| Asia-Pacific | MSCI Emerging Markets Asia | Large & Mid | Asian EM countries | Captures growth dynamics of Asian emerging markets | IE00B5L8K969 | CEA1 |
| Asia-Pacific | MSCI Pacific | Large & Mid | Developed Pacific ex Japan | Focused developed Asia-Pacific ex Japan | IE00B52MJY50 | CPJ1 |
| Asia-Pacific | FTSE Developed Asia Pacific ex Japan | Large & Mid | Developed Pacific ex Japan | Alternative to MSCI Pacific | IE00BK5BQZ41 | VDPG |
| Asia-Pacific | MSCI AC Far East ex Japan | Large & Mid | Developed + Emerging East Asia ex Japan | Mixed DM+EM exposure in East Asia | IE00BBQ2W338 | HMAF |
| Asia-Pacific | Solactive Core Developed Markets Pacific ex Japan L&M | Large & Mid | Developed Pacific ex Japan | Low-cost developed ex Japan alternative | IE00BFXR5W90 | LGAG |
| Asia-Pacific | FTSE Asia ex Japan ex China | Large & Mid | Asia (ex China, ex Japan) | Regional diversification excluding two largest markets | IE00BFWXDV39 | FRQX |
| Emerging Mkts | MSCI Emerging Markets IMI | Large, Mid & Small | Global EM | Broadest EM benchmark incl. small caps | IE00BKM4GZ66 | EMIM |
| Emerging Mkts | MSCI Emerging Markets ESG Enhanced Focus CTB | Large & Mid | Global EM | EM exposure tilted towards ESG/low carbon | IE00BHZPJ239 | EDG2 |
| Emerging Mkts | MSCI Emerging Markets | Large & Mid | Global EM | Standard EM benchmark | IE000KCS7J59 | HEMC |
| Emerging Mkts | FTSE Emerging | Large & Mid | Global EM | Alternative EM benchmark | IE00BK5BR733 | VFEG |
| Emerging Mkts | MSCI Emerging Markets ex China | Large & Mid | Global EM ex China | EM exposure without China dominance | IE00BMG6Z448 | EXCS |
| Emerging Mkts | MSCI Emerging Markets Small Cap | Small Cap | Global EM | Dedicated EM small-cap allocation | IE00B48X4842 | EMSM |
| Emerging Mkts | Solactive GBS Emerging Markets L&M | Large & Mid | Global EM | Low-cost EM alternative | LU2300295123 | PRAN |
| Europe | STOXX Europe 600 | Large, Mid & Small | Pan-Europe (developed) | Broad, liquid European benchmark | LU0908500753 | MEUD |
| Europe | MSCI Europe | Large & Mid | 15 Developed European markets | Standard MSCI European benchmark | IE00B4K48X80 | SMEA |
| Europe | EURO STOXX 50 | Large | Eurozone (developed) | Blue-chip Eurozone exposure | IE00B53L3W79 | CS51 |
| Europe | MSCI EMU | Large & Mid | Eurozone (developed) | Alternative to EURO STOXX with MSCI methodology | IE00B53QG562 | CEU1 |
| Europe | MSCI Europe Screened | Large & Mid | Europe (developed) | Europe ex controversial industries | IE00BFNM3D14 | SAEU |
| Europe | FTSE Developed Europe | Large & Mid | Europe (developed) | Alternative broad European benchmark | IE00BK5BQX27 | VEUA |
| Europe | MSCI Europe Small Cap | Small Cap | Europe (developed) | Dedicated European small-cap allocation | LU0322253906 | XXSC |
| Europe | S&P Eurozone LargeMidCap Net Zero 2050 Paris-Aligned ESG | Large & Mid | Eurozone (developed) | Paris Agreement-aligned ESG Eurozone exposure | LU2195226068 | PABG |
| Europe | MSCI ACWI Select Climate 500 Europe Subset | Large & Mid | Europe (developed) | Low-carbon ESG Europe allocation | IE00BKLTRN76 | RIEG |
Countries
Country-level equity ETFs provide direct exposure to individual national markets, allowing investors to overweight or underweight specific countries relative to their share in global benchmarks. They are particularly useful for expressing structural views (e.g. growth in India or technology in the US), hedging home-country bias, or managing concentrated exposures in broad indices. Many countries offer both standard market-cap indices and ESG-screened or capped-weight variants, giving flexibility in how investors access local markets while maintaining diversification rules.
| Country | Index Name | Market Cap Coverage | Notes / Use Case | ISIN | Ticker |
|---|---|---|---|---|---|
| Australia | MSCI Australia | Large & Mid | Standard benchmark for Australian equities | IE00BD4TY451 | AUST |
| Canada | MSCI Canada | Large & Mid | Standard benchmark for Canadian equities | LU0950672807 | CANA |
| China | FTSE China 30/18 Capped | Large & Mid | Broad China exposure with 30/18 caps | IE00BHZRR147 | FRCH |
| China | MSCI China A Inclusion | Large & Mid | Focused on A-shares, linked to EM index inclusion | LU0292109856 | XX25 |
| China | MSCI China Universal Low Carbon Select 5% Issuer Capped | Large & Mid | ESG/low-carbon tilted China benchmark | LU1953188833 | CNSG |
| France | CAC 40 | Large | 40 largest French stocks (blue-chip) | FR0007052782 | CACX |
| France | MSCI France | Large & Mid | Broader French equity benchmark | IE00BP3QZJ36 | ISFR |
| Germany | DAX 40 | Large | 40 largest German stocks (blue-chip) | LU0274211480 | XDAX |
| Germany | MDAX | Mid | 50 German mid-cap stocks | IE00BHJYDV33 | PEAM |
| Germany | FTSE Germany All Cap | Large, Mid & Small | Broad German equity benchmark | IE00BG143G97 | VGER |
| Germany | DAX ESG Screened | Large | ESG-screened version of DAX, capped weights | LU0838782315 | XDDX |
| India | FTSE India 30/18 Capped | Large & Mid | Broad India exposure with 30/18 caps | IE00BHZRQZ17 | FRIN |
| Italy | FTSE MIB | Large | 40 largest Italian companies | IE00B53L4X51 | CMB1 |
| Japan | MSCI Japan IMI | Large, Mid & Small | Broadest Japan coverage (all caps) | IE00B4L5YX21 | SJPA |
| Japan | MSCI Japan | Large & Mid | Standard MSCI Japan benchmark | LU1781541252 | LCJP |
| Japan | FTSE Japan | Large & Mid | FTSE methodology for Japanese equities | IE00BFMXYX26 | VJPB |
| Japan | Nikkei 225 | Large | 225 most traded Japanese stocks | LU0839027447 | XDJP |
| Japan | MSCI Japan Screened | Large & Mid | Excludes controversial industries | IE00BFNM3L97 | SGJP |
| Japan | Solactive Core Japan L&M Cap | Large & Mid | ESG exclusions, low-cost alternative | IE00BFXR5T61 | LGJG |
| Netherlands | AEX | Large | 25 largest Dutch stocks | IE00B0M62Y33 | IAEX |
| Korea | FTSE Korea 30/18 Capped | Large & Mid | Broad Korea benchmark with 30/18 caps | IE00BHZRR030 | FLRK |
| Korea | MSCI Korea 20/35 | Large & Mid | Korea benchmark with 20/35 caps | IE00B3Z0X395 | HKOR |
| Spain | IBEX 35 | Large | 35 largest Spanish companies | FR0010655746 | CS1 |
| Sweden | OMX Stockholm Benchmark Cap | Large & Mid | Swedish equities with 5%/40% caps | IE00BD3RYZ16 | OMXS |
| Switzerland | MSCI Switzerland | Large & Mid | Standard benchmark for Swiss equities | LU1681044993 | CSWG |
| UK | FTSE 100 | Large | 100 largest UK stocks | IE00B53HP851 | CUKX |
| UK | FTSE 250 | Mid | 250 UK mid-cap stocks | IE00BFMXVQ44 | VMIG |
| UK | MSCI UK | Large & Mid | MSCI benchmark for UK equities | LU0950670850 | UC64 |
| UK | Morningstar UK | Large & Mid | Morningstar methodology for UK | LU1781541096 | LCUK |
| UK | Solactive Core UK L&M Cap | Large & Mid | ESG exclusions, low-cost UK benchmark | IE00BFXR5R48 | LGUK |
| UK | FTSE All-Share | Large, Mid & Small | Broadest UK equity benchmark | IE00B7452L46 | FTAL |
| USA | S&P 500 | Large | 500 leading US stocks (blue-chip) | IE00B5BMR087 | CSP1 |
| USA | Nasdaq 100 | Large (non-financial) | US tech/growth tilt | IE00BMFKG444 | XNAQ |
| USA | MSCI USA | Large & Mid | MSCI methodology for US equities | IE00B60SX170 | MXUS |
| USA | Dow Jones Industrial Average | Large | 30 large industrial stocks (historic blue-chip) | IE00B53L4350 | CIND |
Bonds
Unlike equities, where geography defines a clean hierarchy, fixed income exposures are multi-dimensional. To construct a usable hierarchy, we treat credit/issuer type as the dominant split, then subdivide by region and currency of issuance, and only where necessary by maturity. This tree captures the major correlation breaks while avoiding an unmanageable tensor of exposures.
Aggregate (Gov + Corp)
| Level | Region | Index | ETF ISIN | Notes |
|---|---|---|---|---|
| Aggregate | Global | Bloomberg Global Aggregate Float Adjusted & Scaled (GBP Hedged) | IE00BG47K971 | Gov + Corp, IG only, all maturities, GBP hedged |
Government Bonds
| Level | Region | Index | ETF ISIN | Notes |
|---|---|---|---|---|
| Gov | Global | Bloomberg Global Aggregate Treasuries (GBP Hedged) | IE000S6ZDHA0 | Local currency, IG, GBP hedged |
| Gov | Global | Solactive Paris Aware Global Government (GBP Hedged) | IE000QVCP9S5 | Climate-aligned, IG, GBP hedged |
| Gov | Eurozone | Bloomberg Euro Treasury Bond | IE00B4WXJJ64 | Euro sovereigns, IG |
| Gov | Eurozone | Solactive Eurozone Government Bond | LU1931975152 | Euro sovereigns, IG |
| Gov | US | Bloomberg Global Agg US Treasury Float Adj | IE00BGYWFS63 | US Treasuries, float-adjusted |
| Gov | UK | FTSE Actuaries UK Conventional Gilts All Stocks | IE00B1FZSB30 | UK gilts, conventional only |
| Gov | China | Bloomberg China Treasury + Policy Bank (GBP Hedged) | IE00BMZ17Y47 | CIBM, sovereign + policy banks, GBP hedged |
| Gov | EM | JP Morgan EMBI Global Diversified 10% Cap 1% Floor | IE00B5M4WH52 | EM sovereigns, mixed ratings |
| Gov | EM | Bloomberg EM USD Sovereign + Quasi-Sov | IE00BGYWCB81 | USD-denominated, EM gov + semi-public |
| Gov | EM | Bloomberg EM USD Sovereign & Agency 3% Cap | LU1324516050 | USD-denominated, capped country exposure |
Corporate Bonds
| Level | Region | Index | ETF ISIN | Notes |
|---|---|---|---|---|
| Corp | EM | JP Morgan CEMBI Broad Diversified Core | IE00BFM6TD65 | EM corporates, USD, mixed ratings |
| Corp | Eurozone | Bloomberg MSCI Euro Area Liquid Corporates Sustainable | LU1484799769 | ESG-screened, IG |
| Corp | Eurozone | Bloomberg Liquidity Screened Euro HY Bond | IE00B6YX5M31 | HY, 1–15 yr maturity |
| Corp | US | Bloomberg SASB US Corp ESG Ex-Controversies | IE00BLF7VX27 | ESG-screened, IG |
| Corp | US | Bloomberg US Liquid Corporates (GBP Hedged) | LU1048317298 | Large/liquid, IG, GBP hedged |
| Corp | UK | Bloomberg Sterling Corporate Bond | IE00B4694Z11 | Sterling-denominated, IG |
Inflation-Linked Bonds
| Level | Region | Index | ETF ISIN | Notes |
|---|---|---|---|---|
| Infl-Linked | Global | Bloomberg World Gov Inflation-Linked (GBP Hedged) | IE00BMDBML89 | Developed gov, inflation-linked, GBP hedged |
| Infl-Linked | US | Bloomberg US Gov Inflation-Linked (GBP Hedged) | IE00BDZVH859 | TIPS, GBP hedged |
| Infl-Linked | Eurozone | Bloomberg Euro Gov Inflation-Linked | IE00B0M62X26 | Eurozone sovereign ILBs |
