Prior to the onset of the financial crisis and the subsequent wave of resulting global re-regulation, the majority of bonds and swaps trading activity within small-to-medium-sized asset management firms, hedge funds and wealth management firms was a game of dependencies.
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.”
Since the 1980s, the electronification of financial markets trading resulted in innovations in computer hardware and software design that frequently tested the limits of what the technology that is utilised by markets participants – specifically, asset managers, hedge funds, institutional investors and investment banks – in their every-day operations can achieve.
As the efficacy of long-established cost-savings and efficiency efforts dry up, financial institutions seeking to transform their business models are increasingly looking to automation technologies to support process workflow optimisation.
The surging value of cryptocurrencies has featured in many media reports over the summer of 2017. Specifically, the value of Bitcoin quintupled between January 2017 and September 2017, when it reached a valuation of just under USD 5,000 per Bitcoin.
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.
Since the 1990s, Hong Kong and Singapore have jostled for dominance over the bulk of Asia’s financial markets activity. Market participants in both cities believe their respective metropolis’ are uniquely positioned to act as a gateway to the rest of the region for trade and commerce.
Fintech mergers and acquisitions (M&A) activity within the investment banking industry is set to increase in 2017, according to a survey of the financial markets industry published by law firm White & Case in November 2016.
The complex network of separate pipes that must be installed and maintained by end-users to receive real-time market data is helping drive the global spending on this information skywards. This article examines the open source initiative, OpenMAMA, looking to disrupt the market data marketplace by replumbing the market data distribution system and help end-users conquer the rising costs of this information.