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Yielding towards the right bond model

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Asset Allocation Research Yielding towards the right bond model Applying our model to a portfolio of bonds enhanced the Sharpe ratio to 1.61 compared to 1.51 for its benchmark by increasing return by 0.2% per year.

Asset Allocation Research Yielding towards the right bond model

Highlights

  • With interest rates likely to rise in the US and inflation likely to increase both in the US and EU, it is time for investors to reduce their exposure to bonds.
  • However, bonds remain key in reducing investors’ portfolio risk. Our model based on fundamentals can help mitigate the upcoming downturn in the bond market.
  • Applying our model to a portfolio of bonds enhanced the Sharpe ratio to 1.61 compared to 1.51 for its benchmark by increasing return by 0.2% per year.

As inflation increases on a global basis, central banks are likely to raise rates to keep inflation around their target. An increase in interest rates will, in turn, have a negative impact on the value of bonds. Record low interest rates in developed markets have favoured investments in riskier instruments as investors sought higher returns and income. An increase in interest rates is likely to be followed by a rotation to less risky assets as investors are by nature risk-averse, potentially moving towards more cash or sovereign bonds to the detriment of high yields.

In our tactical portfolio (and its latest update – Underweight US, Europe and precious metals), we use models to determine our positions in equities, bonds and commodities. While we have previously explained what goes into the equity and commodity models, this is our first note outlining in detail our bond model. We start with the indicators the model uses as trading signals, followed by the model mechanism and concluding with the portfolio of bonds and a performance analysis of the portfolio compared to its benchmark and the Bloomberg Barclays US Aggregate Bond Index since 2007.

Inflation expectations

Inflation can be measured in many ways. Inflation expectations measured by the 5yr 5yr forward inflation rate reflects the markets’ expectations on how central bank policies will impact inflation in the future. Technically, it represents the level of inflation expected over 5 years 5 years from now.

US and EU inflation expectations are highly correlated. A surge in inflation expectations like the one the market is currently witnessing means that inflation will likely increase and central banks will likely increase interest rates, undermining bonds.

In our bond model, we include the inflation expectations for both regions combined with their respective interest rate spreads (see chart below for the US).

Interest rate spread

The base rate is the rate at which central banks lend money to domestic banks. The 10yr forward rate is the rate at which investors are able to borrow money in 10 years from now, providing an indication on how the base rate should move in the future. With inflation expectation rates surging, the 10yr forward rates are rising, widening the spread with the base rates. This provides further certainty on an imminent rate hike, at least in the US, which would be prohibitive for US bonds.

(Click to enlarge)

Historically, the base rate moves most of the time in line with its 10yr forward rate if it does not catch it up. With the 10yr forward surging to 2.2% in the US while the base rates are currently at 0.95%, we will likely see the US Federal Reserve, increase its base rate, tightening the spreads.

In our model, we are using the spread between the 10yr forward rate and the base rate for the US and the EU combined with their respective inflation expectations as trading signals.

Credit default swap

A credit default swap (CDS) is a financial instrument that allows for the seller to transfer the credit exposure of a fixed income product to one or more parties. An increase in the value of the CDS indicates rising demand for insurance against a risk of default from the entity behind the underlying bond. It serves as a measure of the level of risk in the fixed income market.

(Click to enlarge)

Our analysis shows that there is a strong correlation between the quarterly return of bonds and the quarterly change of its respective CDS as illustrated above. In our bond model, we are taking into account the CDS level of each component of the portfolio relative to their respective first and second standard deviations above and below average.

The model mechanism

The model will tell us to overweight a bond if
inflation expectations are at a turning point (switching from increasing to decreasing), and
– interest rate spreads are at a turning point (switching from increasing to decreasing), and
– the CDS of the bond is below its first or second standard deviation.

The model will tell us to underweight a bond if the opposite conditions to the above are aligned.

(Click to enlarge)

The above chart shows the portfolio historical positions in EU Sovereign bonds based on the model. While far from being perfect, it still manages in most occasions to signal the right changes ahead of price movements.

Performance and positioning

We created two diversified portfolios of bonds: our portfolio and its benchmark. Both have the same constituents as illustrated in the next table and rebalance on the first business day of every month. The benchmark rebalances back to its initial weights while the portfolio rebalances to a set of new weights based on the signals previously described.

(Click to enlarge)

For December, the model recommends to go underweight most of the components of the portfolio compared to the benchmark, except for US investment grade where the model recommends a neutral position. This results in a higher allocation to cash.

(Click to enlarge)

Applying the model to the portfolio of bonds shows that the portfolio outperforms its benchmark by 0.2% per year for the same level of volatility, improving the Sharpe ratio by 6.3% from 1.51 for the benchmark to 1.61.

(Click to enlarge)

We also note that the portfolio and its benchmark outperform the Bloomberg Barclays US Aggregate Bond Index (former Lehman Aggregate Bond Index) by at least 1.4%, reduce volatility and more than double the Sharpe ratio. This can be explained by a change in universe, weights and rebalancing methodology.

Important Information

General

This communication has been issued and approved for the purpose of section 21 of the Financial Services and Markets Act 2000 by ETF Securities (UK) Limited (“ETFS UK”) which is authorised and regulated by the United Kingdom Financial Conduct Authority (the “FCA”).

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Playing the AI revolution through commodities and gold’s curious rally

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“A single search query on Chat GPT consumes around 1500% more energy than a simple search google search. The overall energy amounts are marginal on their own. Even taken in aggregate, it is a blip in terms of total global energy demand. However, it is illustrative of the potential big increases in electricity demand that will come from the AI revolution.

“A single search query on Chat GPT consumes around 1500% more energy than a simple search google search. The overall energy amounts are marginal on their own. Even taken in aggregate, it is a blip in terms of total global energy demand. However, it is illustrative of the potential big increases in electricity demand that will come from the AI revolution.

“Over the past 20 years, the US has seen its electricity demand stagnate. While its economy has grown, it has been able to avoid the need to add electricity generation thanks to efficiency savings. But this is now changing, and a big reason is the boom in data centre demand, with AI datacentre demand in particular.

“For example, Virginia has one of the densest clusters of data centres in the US. Dominion, the utility company servicing the state, had previously forecast net energy to increase by 2.9% between 2022 and 2037. Now they forecast a compound annual growth rate (CAGR) of about 4.4% between 2023 and 2028, principally due to energy demand from data centres. Similar patterns can be expected across the country.

“So, while many investors are chasing the AI theme through exposure to tech stocks, especially through big names such as Microsoft, it is also worth highlighting the materials or commodity angle — a literal picks and shovels approach.

“Nuclear energy will provide a key role in supplying the electricity for this expected boom in electricity demand, particularly given its zero-carbon credentials. We’ve already seen Amazon purchase a data centre situated next to a nuclear power plant in Pennsylvania for Amazon Web Services.

“With more nuclear energy generation, uranium will see greater demand. The uranium market is already tight with forecast deficits of supply vs demand. Primary uranium mine supply is significantly trailing demand, with a cumulative forecasted supply shortfall of approximately 1.5 billion pounds by 2040. This added component will put more pressure on the uranium price, to the benefit of the miners.

“But generating electricity is only one part of the story. At the same time, getting the electricity generated by nuclear energy to the end user requires transmission. That requires a lot of copper. A build of new data centres will require a buildout of copper-intensive transmission lines.

“As with uranium, the copper market is facing a supply deficit. Copper will be a key metal in the energy transition, with 2.5x more copper wiring in an EV vs a conventional car, while solar panels and wind turbines require grid expansions and upgrades. The additional demand for copper from the AI revolution and data centre build up simply adds to this.”

HANetf is the issuer of the Sprott Uranium Miners UCITS ETF (U3O8), Sprott Junior Uranium Miners ETF (U8NJ) and the Sprott Copper Miners ESG-Screened UCITS ETF (ASWD).

Gold’s curious rally

“Gold has hit several new all-time-highs this year, breaching $2,431/oz. This has been driven by central bank buying, geopolitical-driven safe-haven buying, emerging market investment demand, as well as anticipation around forthcoming Federal Reserve rate cuts, albeit with declining expectations regarding the latter.

“But it is worth looking into some of these drivers themselves. Let’s start with anticipated rate cuts. Gold looks more attractive when interest rates are low or expected to be cut. Gold is a non-yielding asset, so it becomes more attractive the lower yields are on other assets such as bonds. So, with the year starting with expectations of several Federal Reserve rate cuts, gold came into focus.

“But the curious case of this year’s gold market rally is that, despite expectations around these rate cuts gradually receding, with more cautious language from the Fed and some less than positive inflation data prints, the gold rally has continued unabated.

“There are several reasons for this. First, the geopolitical climate is increasingly top of mind for investors. The war in Ukraine continues and we’ve seen a potentially dramatic escalation in the Middle East with Israel and Iran launching missile attacks on one another.

“At the same time, we’ve continued to see central banks buying gold for their reserves. This has principally, but not only, been driven by China. This is geopolitics related, as many see the Chinese central bank’s gold buying being driven by a movement among the BRICS countries towards de-dollarisation. But a key point here is that central banks are a potentially less price-sensitive buyer – their demand is driven by other strategic considerations.

“But while gold has rallied, gold ETF and ETC investors have been absent. This is not how it usually works. Inflows into gold ETFs and ETCs have historically been fairly well correlated with the gold price, but this year a gap opened up. US and European investors were selling gold while the price went up. However, latest data from the World Gold Council now shows that in March, there were slight positive inflows in gold ETFs among American investors. Europeans were still selling, but the uptick in gold ETFs in the US does potentially suggest a trend change.”

HANetf is issuer of The Royal Mint Responsibly Sourced Physical Gold ETC (RM8U) and AuAg ESG Gold Mining UCITS ETF (ESGO).

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ETBB ETF en utdelande fond som spårar Euro Stoxx 50

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BNP Paribas Easy EURO STOXX 50 UCITS ETF (ETBB ETF) med ISIN FR0012740983, strävar efter att spåra EURO STOXX® 50-index. EURO STOXX® 50-indexet följer de 50 största företagen i euroområdet.

BNP Paribas Easy EURO STOXX 50 UCITS ETF (ETBB ETF) med ISIN FR0012740983, strävar efter att spåra EURO STOXX® 50-index. EURO STOXX® 50-indexet följer de 50 största företagen i euroområdet.

Den börshandlade fondens TER (total cost ratio) uppgår till 0,18 % p.a. ETFen replikerar resultatet av det underliggande indexet genom full replikering (köper alla indexbeståndsdelar). Utdelningarna i denna ETF delas ut till investerarna (Årligen).

BNP Paribas Easy EURO STOXX 50 UCITS ETF har tillgångar på 144 miljoner euro under förvaltning. ETF lanserades den 27 juli 2015 och har sin hemvist i Frankrike.

Handla ETBB ETF

BNP Paribas Easy EURO STOXX 50 UCITS ETF (ETBB ETF) är en europeisk börshandlad fond. Denna fond handlas på flera olika börser, till exempel Deutsche Boerse Xetra och Euronext Paris.

Det betyder att det går att handla andelar i denna ETF genom de flesta svenska banker och Internetmäklare, till exempel DEGIRONordnet, Aktieinvest och Avanza.

Börsnoteringar

BörsValutaKortnamn
gettexEURETBB
Stuttgart Stock ExchangeEURETBB
Euronext ParisEURETBB
SIX Swiss ExchangeEURETBB
XETRAEURETBB

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Ny råvaru-ETF från L & G ger tillgång till den breda råvarusektorn via terminskontrakt

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Sedan i torsdags är en ny börshandlad fond utgiven av Legal & General Investment Management handlas på Xetra och Börse Frankfurt. Det är en råvaru-ETF från L & G ger tillgång till den breda råvarusektorn via terminskontrakt.

Sedan i torsdags är en ny börshandlad fond utgiven av Legal & General Investment Management handlas på Xetra och Börse Frankfurt. Det är en råvaru-ETF från L & G ger tillgång till den breda råvarusektorn via terminskontrakt.

L&G Multi-Strategy Enhanced Commodities ex-Agriculture & Livestock UCITS ETF (XEXA) erbjuder investerare tillgång till prestanda för en korg av råvaror från energi-, industri- och ädelmetallsektorerna via terminskontrakt med olika förfallodatum. Sektorn för jordbruk och levande nötkreatur ingår inte.

ETFen är helt säkerställd. Eftersom terminskontrakt har en begränsad löptid stängs de vanligtvis före utgången och rullas över till ett nytt kontrakt med en senare löptid. Beroende på om det köpta terminskontraktet är billigare eller dyrare än det sålda terminskontraktet realiseras rullningsvinster eller rullningsförluster.

NamnISINAvgiftUtdelnings-
policy
Referens-
index
L&G Multi-Strategy Enhanced Commodities ex-Agriculture & Livestock UCITS ETFIE000MQ5XEW10,30%AckumulerandeBarclays Backwardation Tilt Multi-Strategy Ex-Agriculture & Livestock Capped TR Index

Produktutbudet i Deutsche Börses XTF-segment omfattar för närvarande totalt 2 157 ETFer. Med detta urval och en genomsnittlig månatlig handelsvolym på cirka 14 miljarder euro är Xetra den ledande handelsplatsen för ETFer i Europa.

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