Treasury & Risk: More than two in five (41%) small to midsize businesses are experiencing tighter lending standards today than they saw in early 2021, and one-quarter of those have seen credit tighten considerably. This is according to the...
Financial Times: “At the end of the day, every business is a people business, even in technology. When the people at the top change, organisations change,” points out Kevin McPartland, a top industry analyst at Coalition Greenwich. “Someone has to...
Traders: One effective approach to minimize the implicit trading costs is to trade the closing auction where orders from all participants are aggregated and matched at a final clearing price. According to a report by Coalition Greenwich from...
Risk.Net: The initial wave of tokenisation focused on “all sorts of things like real estate and venture capital”, says David Easthope, head of fintech, market structure and technology at Coalition Greenwich. “But there are fewer options for a...
SPGMI: Bonus cuts were closely linked to weaker revenues in 2022, which fell 49% year over year in the advisory and capital markets underwriting units of the 12 largest global investment banks according to Coalition Greenwich
Markets Media: Jesse Forster: “Buy-side traders share a common thread, desiring to rely on quality data, experience and intuition to make the best decisions on where and how to trade, while navigating an increasing amount of market structure and...
WSJ: “For 15 years, the bond market we have today hasn’t existed,” said Kevin McPartland. “That means this is the first time in a lot of people’s investing lives when bonds are a real alternative to stocks.”
WatersTech: Audrey Costabile points to shifts in staffing trends that have driven up costs for financial services firms keen to employ regtech capabilities.
The Trade: “There’s no such thing as no touch right now and I don’t think there ever will be,” says Audrey Blater.
Markets Media: Coalition Greenwich said that adoption of algorithmic trading has been limited among domestic Japanese institutions with only 24% of the sample active in algorithmic trading, compared to 36% of offshore institutions.
