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Our latest scenario analysis highlights the more positive outlook for core fixed income.
Welcome to the latest edition of our bond market forecast analysis. This report is based on the scenario analysis run by the Global Bonds Team to guide fixed income asset allocation decisions. Each report tries to assess the expected returns potentially delivered by the major fixed income sectors based on a range of modelled outcomes (see appendix for a full description of our methodology).
Across all four scenarios modelled, inflation has either peaked or will do so by early 2023, and fall back sharply from current levels, but to differing degrees. Broad money growth has collapsed (unlike in the inflationary 1970s when it stayed above 10%), supply/demand imbalances that pushed up prices are correcting (e.g. freight rates, used car prices), housing markets are showing price falls and the base effects of energy price rises should bear down on year-on-year inflation numbers (albeit with a longer lag in UK/Europe).
Forward looking indicators such as real money supply growth, PMI new orders, and the inverted yield curve point to a sharp downturn ahead, reflecting the lagged effects of tighter monetary policy. Inflation-linked bond real yields made new highs for this cycle since our last report, signalling a tightening of financial conditions. Ultimately, current central bank policy means more rate hikes until inflation shows a more pronounced downward trend, which will be met with demand destruction and a squeeze in real and discretionary incomes.
Source: Refinitiv Datastream, Janus Henderson Investors, 31 January 1965 to 30 November 2022. G7 Consumer Price Index, year-on-year % change, G7 Broad Money growth, year-on-year % change. G7 countries are Canada, France, Italy, Japan, Germany, UK and US. Broad money is the stock of physical cash, bank deposits, money market funds and other monetary instruments held by the private sector.
We adopt a scenario-driven approach to identify the relative attractiveness of fixed income sectors. Our aim is not to perfectly forecast returns to the nearest basis point (as that is not possible), but to understand the range of return outcomes and gauge the resilience of that performance across probable scenarios.
Our base case over the year to end of 2023 is that the global economy enters a recession. The speed at which central banks have hiked rates will feed through to the real economy including the housing markets, and consumer spending power weakens as real incomes are eroded by inflation. With tight labour markets, unemployment is not expected to rise as significantly as it did during COVID, but demand destruction results in weak GDP and falling inflation. Although stronger consumer spending stateside and the country’s lower sensitivity to energy price swings helps insulate the US from the worst of the downturn we model, we still expect the US to fall into a recession.
Various leading indicators have already signalled that recession is likely. A soft landing is still possible in the US, but the chances are receding. Overall, these two scenarios – recession and soft-landing – account for over 75% of the probability distribution. Inflation falls in all scenarios from current levels to between 1.7% and 4.5% in a year’s time.
Base | Soft landing | Stagflation | Fiscal push | |
---|---|---|---|---|
Annual GDP growth* | -1.3% | 0.4% | -0.5% | 0.5% |
10-year US Treasury | 1.7% | 3.1% | 4.2% | 4.75% |
10-year German Bund | 1.6% | 2.5% | 3.25% | 4.0% |
Credit spreads (HY) | Wider | Tighter | Modestly wider | Wider |
Inflation breakevens | Lower | Flat | Modestly higher | Higher |
Source: Janus Henderson Investors, 28 December 2022. *Average for US/EU GDP growth over the 12-month period. There is no guarantee that past trends will continue, or forecasts will be realised.
2022 was highly challenging for fixed income investors: the relentless move higher in rates (the Fed hiked rates by 425bps in just ten months to December 2022), and widening in credit spreads has continued to bolster the starting yield and prospective forward-looking returns for fixed income asset classes. This higher yield cushion also provides greater ballast, and scope for fixed income to offer defensive properties. This is shown by the greater appeal of higher quality sectors such as fixed interest government bonds, agency mortgages and investment-grade corporate debt in the scenarios we consider most likely.
Heatmap – broad market returns | Recession | Soft landing | Stagflation | Fiscal push |
---|---|---|---|---|
Govt – Fixed Interest | ||||
Govt – Inflation linked | ||||
Investment grade corporate | ||||
High yield corporate | ||||
EM Credit | ||||
Secured loans | ||||
Floating rate ABS | ||||
Agency MBS |
Legend: 1 year return estimates (%) in each secenario for each sector | |||
<0% | 0-3% | 3-5% | >5% |
Source: Janus Henderson Investors, as at 28 December 2022. Note:*Bull (bear) refers to a positive (negative) outturn for economic performance. Expected returns for a US dollar-based investor, based on index returns before allowance for alpha. Any differences among portfolio securities currencies, share class currencies, and your home currency will expose you to currency risk. The above are the portfolio managers’ views and should not be construed as advice and may not reflect other opinions in the organisation. There is no guarantee that past trends will continue, or forecasts will be realised.
Source: Janus Henderson Investors, 28 December 2022. There is no guarantee that past trends will continue, or forecasts will be realised.
While investors may have different probabilities for recession, or a different scenario altogether, the key conclusion is that higher quality fixed income assets such as investment grade and government bonds provide both upside and greater resilience across the scenarios modelled. For investors more concerned about upside inflation risks, concentrating on the shorter duration part of the universe can provide a greater cushion against further rises in yields, but gives up some upside should bond yields rally from here.
1 VIX is a measure of the stock market’s expectation of volatility based on S&P 500 index. MOVE measures Treasury rate volatility through options pricing.
Basis point (bp) equals 1/100th of a percentage point. 1bp = 0.01%, 100bps = 1
Diversification neither assures a profit nor eliminates the risk of experiencing investment losses.
Emerging market investments have historically been subject to significant gains and/or losses. As such, returns may be subject to volatility.
Fixed income securities are subject to interest rate, inflation, credit and default risk. The bond market is volatile. As interest rates rise, bond prices usually fall, and vice versa. The return of principal is not guaranteed, and prices may decline if an issuer fails to make timely payments or its credit strength weakens.
High-yield or “junk” bonds involve a greater risk of default and price volatility and can experience sudden and sharp price swings.
Mortgage-backed securities (MBS) may be more sensitive to interest rate changes. They are subject to extension risk, where borrowers extend the duration of their mortgages as interest rates rise, and prepayment risk, where borrowers pay off their mortgages earlier as interest rates fall. These risks may reduce returns.
Stagflation is an economic cycle characterised by slow growth and a high unemployment rate accompanied by inflation.
Carry is the excess income earned from holding a higher yielding security relative to another.
Consumer Price Index (CPI) is an unmanaged index representing the rate of inflation of the U.S. consumer prices as determined by the U.S. Department of Labor Statistics.
Credit spread is the difference in yield between securities with similar maturity but different credit quality. Widening spreads generally indicate deteriorating creditworthiness of corporate borrowers, and narrowing indicate improving.
Duration measures a bond price’s sensitivity to changes in interest rates. The longer a bond’s duration, the higher its sensitivity to changes in interest rates and vice versa.
Quantitative easing (QE): A form of monetary policy used by central banks to restrict the economy by reducing the amount of overall money in the banking system.
Volatility measures risk using the dispersion of returns for a given investment.
A yield curve plots the yields (interest rate) of bonds with equal credit quality but differing maturity dates. Typically bonds with longer maturities have higher yields.
10-Year Treasury Yield is the interest rate on U.S. Treasury bonds that will mature 10 years from the date of purchase.
Methodology – asset class level projections
We use a scenario-based approach to model potential outcomes over a 12-month horizon. Rather than rely on single point estimates, we think it is important to consider the distribution of potential outcomes based on probable future economic scenarios. This approach helps us better understand the distribution of potential outcomes and avoids biases based on a single-deterministic path.
In each scenario, we define expectations of key economic variables such as GDP growth, inflation, exchange rates, central bank rates and key tenor points on the yield curve, for the major economic blocs.
Government bond returns are estimated by calculating a fair value yield, taking into account the expected path of central bank rates and, the neutral rate, for each scenario. The total return is calculated by combining the coupon income and the likely price impact of the scenario yield estimates.
Inflation-linked bond returns are assessed by considering outcomes for breakeven inflation alongside nominal rates (outlined above), which gives an implied change in real yield. This is then used to calculate expected returns.
For credit asset classes, we assume expected issuer default rates in each scenario. We project returns by combining nominal rates (at the appropriate maturity) and the estimated change in credit market spread, adjusted for expected default losses and liquidity premia.
Returns are projected on a currency hedged basis, assuming 12-month forward FX hedging to base.