Financial markets provide insightful information about the level of risk in the economy. However, sometimes market participants might be driven more by their perception rather than any fundamental changes in risk. In a recent Staff Working Paper we study the effect of changes in risk perceptions that can lead to a mispricing of risk. We find that when agents over-price risk, banks adjust their bank lending policies, which can lead to depressed investment and output. On the other hand, when agents under-price risk, excessive lending creates a ‘bad’ credit boom that can lead to a severe recession once sentiment is reversed.
In yesterday’s post we argued that housing is an asset, whose value should be determined by the expected future value of rents, rather than a textbook demand and supply for physical dwellings. In this post we develop a simple asset-pricing model, and combine it with data for England and Wales. We find that the rise in real house prices since 2000 can be explained almost entirely by lower interest rates. Increasing scarcity of housing, evidenced by real rental prices and their expected growth, has played a negligible role at the national level.
A tulip bulb produces flowers. Those flowers are what people actually enjoy consuming, not the bulb. Whilst that’s blindingly obvious for tulips, the equivalent is also true for housing. The physical dwelling is the asset, but it’s the actual living there (aka “housing services”) that people consume. The two things sound very similar and are often lumped together as “housing”. But in today’s post, we argue they are as different as bulbs and flowers. Sketching out a simplified framework of houses as assets we show how this can radically change how one views the “housing market”. Tomorrow, we use this to develop a toy model and bring it to the data to shed light on house price growth in England and Wales.
Credit default swaps (CDS) have a notoriously bad reputation. Critics refer to CDS as a “global joke” that should be “outlawed”, not at least due to the opaque market structure. Even the Vatican labelled CDS trading as “extremely immoral”. But could there be a brighter side to these swaps? In theory, CDS contracts can reduce risks in financial markets by providing valuable insurance. In a recent paper, I show that CDS also offer another, more subtle benefit: an increase in the liquidity of the underlying bonds.
Episodes of vanishing market liquidity haunt dealers. This was true in the great stock market crash of 1929 and remains so today: in August 2018, professional corporate bond traders cited vanishing liquidity as their primary source of worry. Dealers in more-liquid long gilt futures – contracts on 10 year UK government bonds – might be less concerned. But have structural changes in the market led to less resilience over time? We address this question in a recent Staff Working Paper. We find that liquidity in the long gilt futures market has increased slightly over recent years, while remaining resilient to periods of market stress.
The yield curve is an important barometer of market sentiment and reflects interest rate expectations as well as different risk premia. In this post, we show how changes in demand for UK government bonds, also called gilts, may affect the shape of the yield curve. We find that demand shocks have persistent local effects on the yield curve, in particular at longer maturities and during volatile market conditions. These findings therefore indicate that investors in longer-term gilts tend to be less price-sensitive. Moreover, we find that demand shocks for one bond transmit to neighbouring bonds, while the transmission to other bonds declines with the difference in the residual maturity.
Carlo Favero, Sebastian Vismara and Iryna Kaminska
The slope of the yield curve has decreased in the US and the UK over the last few years (Chart 1). This development is attracting significant attention, because the yield curve slope (i.e. the difference between longer term government bond yields and shorter term government bond yields) is a popular business cycle indicator, and a fall of longer term yields below shorter term yields (i.e. an ‘inversion’ of the yield curve) has historically been considered as a powerful signal of recessions, particularly in the US.
Post-crisis regulatory reforms have reshaped and increased the amount of clearing activity in the OTC derivatives market. An emerging issue is so-called “client porting” – i.e. how central counterparties (CCPs) can transfer positions from one clearing member (CM) to another in the aftermath of one member defaulting. In this post, we discuss possible ways to offer clients temporary access to clearing services following a CM default, which we believe could increase the likelihood of successfully porting clients and avoiding further pressure on prices and market stability.
Over the past 20 years, the share of outstanding corporate bonds rated BBB, the lowest investment-grade rating, has more than doubled. This has left a large volume of securities on the edge of a cliff, from which they could drop to a high-yield rating and become so-called ‘fallen angels’. Some investors may be forced to sell ‘fallen angels’, for example if their mandate prevents them from holding high-yield bonds. And this selling pressure could push bond prices down, beyond levels consistent with the downgrade news. In this post we explore the impact that sales of ‘fallen angels’ could have on market functioning, finding that they could test the liquidity of the sterling high-yield corporate bond market.
Gino Cenedese, Pasquale Della Corte and Tianyu Wang
Deviations from covered interest parity (CIP) represent an arbitrage opportunity, at least in theory. In a new paper, we show that post-crisis financial regulation may explain why this mispricing persists and cannot be arbitraged away. Our exercise uses a unique dataset on contract-level foreign exchange derivatives coupled with an exogenous variation associated with the public disclosure of the leverage ratio. We find that dealers with a higher leverage ratio demand an extra premium from their clients for synthetic dollar funding (e.g., borrowing in euros and swapping into dollars) relative to direct dollar funding (i.e., borrowing dollars in the money market), resulting in CIP deviations.