Quants dive into FX fixing home windows debate | Foreign exchange Information
The methodologies used to calculate financial benchmarks have long been a subject of debate, with a lot of the back-and-forth centring on their representativeness and vulnerability to manipulation.
Whereas Libor grew to become the posterchild for benchmark dysfunction, considerations about day by day overseas exchange fixings got here to the fore initially of the Covid-19 disaster, when uncommon price swings had been noticed during the trading home windows used to calculate the benchmarks.
The episode prompted Refinitiv to launch a public session on lengthening the calculation window for its broadly used WM/R benchmark, which is decided over a five-minute period both facet of 4pm in London.
Proponents of longer calculation home windows argue it will make the benchmark more durable to govern and considerably decrease transaction prices for end-users. However that thesis has by no means been rigorously examined and confirmed.
Window addressing
A new examine by Deutsche Financial institution’s head of the quantitative R&D Lab for gross sales and trading Roel Oomen and Imperial School London finance professor Johannes Muhle-Karbe tackles this query head on. They discovered the fixing window is certainly probably the most vital consider figuring out the outcomes for shoppers and sellers, and that its lengthening could also be useful to shoppers, however must be balanced in opposition to the sellers’ response.
“The intuition behind why a client would benefit from a longer time window is that spreading out your execution over a longer period of time reduces transaction costs due to impact decay,” explains Muhle-Karbe.
Lengthening the window additionally reduces price predictability during the fixing period, making the benchmark more durable to govern.
Widening the window makes it more and more much less viable for sellers to offer the execution service on the identical phrases
Oomen and Muhle-Karbe in contrast Refinitiv’s WM/R with two different less-established benchmarks: Bloomberg’s BFIX, which can also be calculated over a five-minute fixing window; and Siren, with a 20-minute window.
The modelling framework utilized by Oomen and Muhle-Karbe assumes the costs being benchmarked observe a random stroll, however that seller hedging has each a everlasting and transitory influence. Sellers are assumed to optimise their hedging strategy utilizing a risk-adjusted measure of revenue and loss, whereas their shoppers measure execution efficiency by the usual arrival price metric.
The pair replicate all three benchmarks and take a look at every of them over a fixing window of one, 5 and 20 minutes, to evaluate the influence of every mixture on the seller’s P&L and on fixing price. The charts show how the outcomes are likely to cluster by window width quite than methodology sort. Benchmarks calculated over a one-minute window show a increased market influence and a increased P&L Sharpe ratio for sellers, whereas benchmarks calculated over 20 minutes result in decrease market influence and decrease P&L Sharpe ratio.
The examine subsequently reveals that the weighting scheme used for the benchmark calculation – that’s, how particular person price observations within the fixing window are weighted – is much much less important than the size of the fixing window.
No short cuts
The authors additionally warning in opposition to drawing easy conclusions.
Proponents of benchmarks with longer fixing home windows, comparable to Siren, argue that they decrease transaction prices for end-users as a result of the fixing tends to deviate much less from what could be thought of the consultant price over that period, thereby lowering market influence.
However Oomen and Muhle-Karbe warn that this argument fails to contemplate how sellers will reply to a longer window. “A key aspect in this experiment is that a change in the methodology will lead to a change in the observable data,” says Muhle-Karbe. “Indeed, with different incentives, the dealers will adjust their strategies, which will in turn change the benchmark prices that feed into the fixing calculation.”
Put merely, trading exercise during the present WM/R fixing window can’t be reliably used to check what would occur if the window was prolonged to twenty minutes, as this is able to lead to utterly totally different market dynamics.
The examine additionally highlights a potential downside with longer fixing home windows. “There is a downside to widening the window in that it makes it increasingly less viable for dealers to offer the execution service on the same terms, as the hedging of fixing exposure is more risky over longer horizons, especially for smaller transactions,” says Oomen.
Analysis stream
Oomen and Muhle-Karbe’s examine is a continuation of a stream of analysis that started in 2023, after they investigated pre-hedging – the place a seller covers its risk earlier than a consumer order arrives.
“When we started to talk about this paper, we realised that people tend to conflate pre-hedging with hedging ahead of the fix,” says Oomen. The essential distinction is that in pre-hedging, the deal is anticipated however unsure to happen, whereas a fixing transaction is dedicated, and the deal is for certain to happen.
“We thought it was a worthwhile and interesting extension of the pre-hedging paper to explicitly analyse the case of hedging committed fixing exposures,” Oomen continues. “Compared to pre-hedging, the similarity is that a potential conflict of interest can arise in both these cases: when the dealer hedges ahead of the benchmark point or the point of execution, the associated market impact may (or may not) disadvantage the client.”
The pair’s collaboration in researching the consequences of fixing methodologies is ongoing. Their subsequent paper will study circumstances the place a third unbiased trader intervenes within the market across the fixing period.
“We look at the case where a third independent trader monitors the market around the fixing period, and we investigate what incentives and what trading strategy they may follow. Earlier studies find that such traders may either engage in predatory trading or liquidity provision, depending on market conditions. In the present context, novel questions arise about how the dealer (and client) should adjust their actions as a result”, says Muhle-Karbe.
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