In 2019, the global financial services industry is set to spend an estimated USD 50bn on the raw, historical markets and transactions data inputs required to fuel a broad spectrum of daily trading activities across all major asset classes.
In 2019, the wholesale FX market is not the market of yore. Formerly, the defining characteristic of the currencies trading landscape was liquidity fragmentation and siloed pools of cash held within geography-specific currency pairings.
Banks are one of the greatest engines for generating data: daily, they collectively produce petabytes of transactions, prices, risk metrics, customer information….
A decade after the financial crisis, the buyside (asset managers, hedge funds, institutional investors and large corporates) have changed at least as much as the investments banks that serve them.
Gold-i CEO Tom Higgins recently claimed in Finance Magnates Magazine (“Cryptocurrency liquidity, past, present, future” article) that “the most challenging factor continues to remain the access to and quality of liquidity.”
Despite recent signs that global equities market volatility is showing signs of life once again after a period of prolonged slumber, investment bank execution franchises should remain mindful of the long-term imperative to continue to reduce costs at the margins across the whole of the brokerage business.
The broker community and asset managers let out a collective sigh of relief last week as the Securities and Exchange Commission (SEC) issued a number of “no-action” letters to address clashes between the US government and the upcoming MiFID II regulations.
Predictive analytics is a branch of advanced analytics wherein a variety of different types of software tools can be used to make predictions about future events.