Articles and white papers on trade execution and stock exchanges. Amongst our most popular research in this section are white papers on high-frequency trading (HFT), covering for instance, "high-frequency trading and dark pools" and HFT from an asset manager's perspective. Reports on dark pools of liquidity is well featured, highlighting a need to understand dark pools in equity trading...
, but also reflecting concerns over the impact of dark trading on market quality. Bond liquidity risk has been another recent investor concern, and research on bond market liquidity has been well received. Other popular research includes white papers on broker trade execution services, transition management, extreme price movements, the impact of a global withholding tax, and analysis of trading costs for pension funds. This category contains surveys and papers of interest to traders, dealers, market-makers, trading venues, stock exchanges and operators of dark pools and dealing platforms.
In the current environment of heightened uncertainty, managing a multi-asset portfolio has rarely looked as complex as it does today, especially for those investors looking for an appropriate governance model on which to take investment decisions.The issue is not only to make accurate market forecasts and formulate…
We investigate the trading of corporate bonds on alternative trading system (ATS) platforms. We draw a key distinction between request-for-quote (RFQ) and electronic communication network (ECN) trading protocols, which balance investors’ preference for immediacy and anonymity. Trades on ATS platforms are smaller and more…
ICMA reports on the functionality of capital markets during the COVID-19 crisis, including updates on primary and secondary market activity, repo transactions, fintech, and other issues.
Across the industry, demand for cross-asset electronic trading (XAET) is rapidly increasing. This paper offers a look at how XAET works as it moves from trading desk to implementation, and what happens along the way.
Since the early 1990s, the U.S. stock exchanges have long been home to manyprominent Chinese companies as they tried to attract a wide spectrum of investorsand enhance their global profile. However, waves of the reverse trend – of thoseU.S.-listed Chinese companies going private with the ultimate goal of relisting inChina –…
We use stock exchange message data to quantify the negative aspect of high-frequency trading, known as “latency arbitrage.” The key difference between message data and widely-familiar limit order book data is that message data contain attempts to trade or cancel that fail. This allows the researcher to observe both winners…
Most corporate news occurs in the after-hours market, a very illiquid trading environment. We examine the relationship between liquidity and price discovery around after-hours earnings announcements. Prices reflect earnings surprises through changes in quotes rather than through trades. Following announcements, ask (bid)…
The authors examine the microstructure of liquidity provision in the COVID-19 corporate bond liquidity crisis. During the two weeks leading to Fed interventions, transaction costs soared, trade-size pricing inverted, and dealers, in particular non-primary dealers, shifted from buying to selling, causing dealers’ inventories…
Using the setting of funds of hedge funds (FoFs), we show that prime brokers (PBs) facilitate investors' search for informed hedge fund managers. We find that FoFs exhibit PB bias, a disproportionate preference for hedge funds serviced by their connected PBs. This PB bias is stronger when the cost of hedge fund due…
Tax-efficiency has become an important factor for fund performance in recent years – particularly for pension funds that suffer too much withholding tax (WHT) on the dividends of their pooled equity investments. This is because UK pension schemes, as tax-exempt investors, are entitled to reduced WHT on dividends from global…
Topological data analysis has been acknowledged as one of the most successful mathematical data analytic methodologies in various fields including medicine, genetics, and image analysis. In this paper, we explore the potential of this methodology in finance by applying persistence landscape and dynamic time series analysis…
A speed bump in financial markets is an intentional delay imposed on trade execution. Its primary purpose is to mitigate asymmetric information by slowing down high-frequency traders (HFTs). In contrast to its intended purpose, this paper shows that a speed bump has the crowding-in effect on speed acquisition of HFTs,…
A speed bump in financial markets is an intentional delay imposed on trade execution. Its primary purpose is to mitigate asymmetric information by slowing down high-frequency traders (HFTs). In contrast to its intended purpose, this paper shows that a speed bump has the crowding-in effect on speed acquisition of HFTs,…
This article combines the relatively new regulatory data on Treasury cash transactions from FINRA with futures transaction data at the CFTC to describe a liquidity hierarchy in the US Treasury market.
The authors study the impact of common asset holdings across different financial sectors on financial stability. In particular, they model indirect contagion via fire sales across UK banks and non-banks. Fire sales are triggered by different responses to a financial shock: banks and non unit-linked insurers are subject to…
