Category Archives: Financial Markets

Algos all go?

Francis Breedon, Louisa Chen, Angelo Ranaldo and Nicholas Vause

Most academic studies find that algorithmic trading improves the quality of financial markets in normal times by boosting market liquidity (so larger trades can be executed more quickly at lower cost) and enhancing price efficiency (so market prices better reflect all value-relevant information). But what about in times of market stress? In a recent paper looking at the removal of the Swiss franc cap, we find that algorithmic trading provided less liquidity than usual, at worse prices, and that its contribution to efficient pricing dropped to near zero. Market quality benefits from a diversity of participants pursuing different trading strategies, but it seems this was undermined in this episode by commonalities in the way algorithms responded.

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Filed under Currency, Financial Markets, Financial Stability

Is the tail wagging the dog? The impact of VIX exchange traded products on equity volatility

Olga Maizels

Volatility returned to markets in early February, sparked by strong US wage growth data.  After  months of calm, the S&P 500 equity index fell by 4% on 5 February and the VIX – a measure of US equity volatility that is sometimes referred to as Wall Street’s “fear gauge” – experienced its largest one-day move in its 28-year history.  Interestingly, measures of volatility in other markets, including interest rates and currencies, moved by much less.  So what caused the outsized spike in the VIX?  Some of the rise was linked to rebalancing flows associated with VIX exchange-traded products (ETPs), which can amplify moves in the volatility market.  The events have also led to some questions whether developments in VIX ETPs can also affect the S&P 500 itself –whether the ‘tail’ can wag the ‘dog’.

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What did the CBPS do to corporate bond yields?

Calebe de Roure, Ben Morley and Lena Boneva

In August 2016 the MPC announced a package of easing measures, including the Corporate Bond Purchase Scheme (CBPS). In a recent staff working paper, we explore the announcement impact of the CBPS, using the so called “difference in differences” (or “DID”) approach. Overall – to deliver the punchline to eager readers – this analytical technique suggests that the announcement caused spreads on CBPS eligible bonds to tighten by 13bps, compared with comparable euro or dollar denominated bonds (Charts 1b, 2). Continue reading

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Filed under Financial Markets, Monetary Policy

Bitesize: UK real interest rates over the past three centuries

John Lewis

How low are UK real interest rates by historical standards? Using the Bank’s Millennium of Macroeconomic Data, I compute real bank rate, mortgage rates, and 10-year government bond yields over time.

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Filed under Bitesize, Economic History, Financial Markets, Macroeconomics

The 2016 Sterling Flash Episode

Joseph Noss, Liam Crowley-Reidy and Lucas Pedace

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Filed under Currency, Financial Markets, Financial Stability, New Methodologies

Peer to Peer – Scale and Scalability

Anna Orlovskaya and Conor Sewell

Peer to Peer (P2P) lending is a hot topic at Fintech events and has received a lot of attention from academia, journalists, various international bodies and regulators.  Following the Financial Crisis, P2P platforms saw an opportunity to fill a gap in the market by offering finance to customers and businesses struggling to get loans from banks.  Whilst some argue they will one day revolutionise the whole banking landscape, many platforms have not yet turned a profit.  So before asking if they are the future, we should first ask if they have a future at all. Problems such as a higher cost of funds, or limited ability to scale the business, may mean the only viable path is to become more like traditional banks.

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Filed under Banking, Financial Markets

Trimming the Hedge: How can CCPs efficiently manage a default?

Fernando Cerezetti, Emmanouil Karimalis, Ujwal Shreyas and Anannit Sumawong

When a trade is executed and cleared though a central counterparty (CCP), the CCP legally becomes a buyer for every seller and a seller for every buyer. When a CCP member defaults, the need to establish a matched book for cleared positions means the defaulter’s portfolio needs to be closed out. The CCP then faces a central question: what hedges should be executed before the portfolio is liquidated so as to minimize the costs of closeout?  In a recent paper, we investigate how distinct hedging strategies may expose a CCP to different sets of risks and costs during the closeout period. Our analysis suggests that CCPs should carefully take into account these strategies when designing their default management processes.

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Filed under Financial Markets, Financial Stability, Market Infrastructure

Stirred, not shaken: how market interest rates have been reacting to economic data surprises

Jeremy Franklin, Scott Woldum, Oliver Wood and Alex Parsons

How do markets react to the release of economic data? We use a set of machine learning and statistical algorithms to try to find out.  In the period since the EU referendum, we find that UK data outturns have generally been more positive than market expectations immediately prior to their release. At the same time, the responsiveness of market interest rates to those data surprises fell below historic averages.  The sensitivity of market rates has also been below historic averages in the US and Euro area, suggesting international factors may also have played a role. But there are some signs that the sensitivity has increased over the past year in the UK.

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Filed under Financial Markets, Macroeconomics, New Methodologies

Is a steeper yield curve good news for banks? A challenge to the conventional wisdom

Oliver Brenman, Frank Eich, and Jumana Saleheen

The conventional wisdom amongst financial market observers, academics, and journalists is that a steeper yield curve should be good news for bank profitability.   The argument goes that because banks borrow short and lend long, a steeper yield curve would raise the wedge between rates paid on liabilities and received on assets – the so-called “net interest margin” (or NIM).  In this post, we present cross-country evidence that challenges this view.  Our results suggest that it is the level of long-term interest rates, rather than the slope of the yield curve, that drives banks’ NIMs.

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Filed under Banking, Financial Markets, Financial Stability, Monetary Policy

How does uncertainty affect how UK firms invest?

Marko Melolinna and Srdan Tatomir

Uncertainty is in the spotlight again. And the MPC believe it is an important factor influencing the slowdown in domestic demand (August 2017 Inflation Report). Previous work by Haddow et al. (2013) has found a composite aggregate indicator of uncertainty combining several different variables that does appear to have explanatory power for GDP growth; but as Kristin Forbes notes these measures correlate better with consumption than investment. So in this blog post, we look at firm-level data to explore measures of uncertainty that matter for how firms invest in the United Kingdom. Our aggregate measure of uncertainty has a better forecast performance for investment than the composite aggregate indicator does.

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Filed under Financial Markets, Macroeconomics