machine learning

artificial intelligence, Bank of England, COVID-19, machine learning, outsourcing

Researchers from the Bank of England’s Fintech Hub conducted a survey that suggests the COVID-19 pandemic has continued to stimulate interest in and adoption of ML (machine learning) and DS…

ECB: nowcasting using machine learning for economic regime prediction

November 30, 2020

ECB, machine learning, nowcasting

Researchers from the European Central Bank propose a granular framework that makes use of advanced statistical methods to approximate developments in economy-wide expected corporate earnings. In particular, they evaluate the…

Realizing a quantum generative adversarial network using a programmable superconducting processor

November 18, 2020

GANs, machine learning, Quantum Computing, quantum technologies

Generative adversarial networks are an emerging technique with wide applications in machine learning, which have achieved dramatic success in a number of challenging tasks including image and video generation. When…

What banks and trading firms say about choosing AI platforms (Premium)

November 11, 2020

Artificial Intelligence, Cloud, Technology

artificial intelligence, Benchmarks, cloud technologies, hardware acceleration, machine learning, STAC, standards, topstory

The promise of financial AI has resulted in a growing number of advanced technologies that are supposed to deliver it. We hear from experts at a recent conference organized by…

Machine learning in credit risk: weighing prediction vs. supervisory cost

November 5, 2020

Central Banks, machine learning, Spain

As the financial sector increasingly adopts machine learning (ML) tools to manage credit risk, supervisors face the challenge of allowing credit institutions to benefit from technological progress and financial innovation,…

Deutsche Bank developing settlement service using ML tech to predict fails

October 11, 2020

CSDR, Deutsche Bank, Elastic, machine learning, settlement fails

Deutsche Bank announced that they will launch an enhanced securities settlement service that identifies in-flight security transactions at risk of settlement delay, to debut in early 2021. The enhanced service…

Where’s the technology for AML oversight? (Premium)

October 7, 2020

Artificial Intelligence, Automation, Big Data, Fintech, Regulatory, Technology

AML, artificial intelligence, automation, Duff & Phelps, Fenergo, machine learning, regtech, SAS, topstory

Recent headlines have brought to the fore major failings in anti-money laundering (AML) procedures, in both the traditional and emerging crypto financial industry. It prompts the question: what’s happening with…

Liquidnet launches investment analytics business using AI, ML and NLP

October 5, 2020

artificial intelligence, Liquidnet, machine learning, NLP

Liquidnet, the technology-driven global institutional investment network, today announced the official launch of its third business, Investment Analytics (IA). The new business combines the latest AI technologies, including machine learning…

Investment tech Causality Link plugs MT Newswires into AI research platform

September 9, 2020

alternative data, artificial intelligence, Causality Link, machine learning, NLP

Causality Link announced an agreement with MT Newswires to incorporate the financial news information provider’s industry-leading content into the Causality Link Research Assistant platform. MT provides a real-time, multi-asset feed…

CanDeal’s Andre Craig on modeling data for capital reserves (Premium)

September 2, 2020

Big Data, Repo, Technology

artificial intelligence, Big Data, BMO Capital Markets, CanDeal, CIBC, data management, machine learning, National Bank Financial, Scotiabank, TD Securities, topstory

After developing its data pooling service for Canadian banks, CanDeal has now launched a data and analytics unit, DNA, for OTC derivatives pricing. We talked to executive vice president of…

SteelEye using advanced tech for trade reconstruction compliance in seconds

August 20, 2020

artificial intelligence, machine learning, regtech, SteelEye

SteelEye announced the general release of its Auto-Trade Reconstruction technology, which reduces the time it takes for a firm to reconstruct a trade from days to seconds. Under MiFID II,…

SSON: global state of intelligent automation in 2020, and practical guide

August 13, 2020

artificial intelligence, automation, data management, Intelligent Automation, machine learning, outsourcing, SSON

Financial applications are leading as a priority for and implementation of intelligent automation in the enterprise, according to a new report from Shared Services Outsourcing Network (SSON). It has been…

Cornell Chronicle: machine learning models can predict future market movements

August 12, 2020

Bank of America, Cornell, machine learning, predictive analytics, True Positive Technologies

Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell research based on the largest dataset ever used in…

FICC Market Standards Board warns of potential market abuse risks from Machine Learning

August 4, 2020

Josh Galper

FICC Market Standards Board, machine learning

Market surveillance in FICC has undergone, and continues to undergo, significant change as a result of regulation, the evolution of market structure, and technological developments. This Spotlight Review considers these…

“No Free Lunch” algos: from supervised learning to blackbox optimization

August 2, 2020

machine learning, supervised learning

The No Free Lunch theorems prove that under a uniform distribution over induction problems (search problems or learning problems), all induction algorithms perform equally. In an academic paper, David Wolpert…

Deep hedging: neural network-based, data-driven market simulation for modelling financial time series

July 24, 2020

artificial intelligence, Deep hedging, deep neural networks, ETH Zurich, J.P. Morgan, machine learning, Oxford

Neural network based data-driven market simulation unveils a new and flexible way of modelling financial time series, which has recently inspired a surge of research activity in the quantitative finance…

IAPP: accelerating AI with synthetic data

July 21, 2020

artificial intelligence, data management, data privacy, machine learning, synthetic data

The application of artificial intelligence and machine learning to solve today’s problems requires access to large amounts of data. One of the key obstacles faced by analysts is access to…

Mosaic launches data normalization as stand-alone service

July 20, 2020

artificial intelligence, data analytics, machine learning, Mosaic Smart Data

J.P. Morgan-backed Mosaic Smart Data is launching its data normalization process as a new stand-alone service. Mosaic will employ its technology and data model to process firms’ transaction data so…

Eurekahedge: AI and crypto fund performance flat in June

July 8, 2020

artificial intelligence, cryptocurrencies, Eurekahedge, hedge funds, machine learning

Fund managers using AI/machine learning strategies gained 1.48% in June. On a year-to-date basis, the Eurekahedge AI Hedge Fund Index is up 3.68% The Eurekahedge Crypto-Currency Hedge Fund Index was…

BNP Paribas using advanced tech to automate asset servicing

July 7, 2020

Asset Servicing, automation, BNP Paribas, machine learning, NLG

BNP Paribas Securities Services has automated the processing of asset servicing documents using advanced technologies. The move, which took 12 months to implement, aims to increase straight-through processing rates and…

QuantHouse to provide TSL machine learning capabilities as part of the QuantFactory cloud backtesting suite

July 1, 2020

machine learning, QuantHouse, TSL

QuantHouse announced that Trading System Lab (TSL) has added their machine learning capabilities as part of the QuantFactory cloud backtesting suite. QuantHouse is a global provider of end-to-end systematic trading…

IOSCO consults on AI/ML guidance for market intermediaries and asset managers

June 25, 2020

artificial intelligence, asset managers, IOSCO, machine learning

The Board of the International Organization of Securities Commissions is requesting feedback on proposed guidance to help its members regulate and supervise the use of artificial intelligence (AI) and machine…

INTL FCStone and Eventus Systems partner on EMEA market surveillance

June 23, 2020

Eventus Systems, INTL FC Stone, machine learning, market surveillance

Eventus Systems, a global trade surveillance and risk management software platform provider, announced that INTL FCStone’x London-based European subsidiary will deploy the firm’s Validus platform for market surveillance activities throughout…

Dataiku: data science, ML and AI platforms critical for laggard asset management firms

May 26, 2020

artificial intelligence, asset managers, data science, Dataiku, machine learning

The technology disruption that has transpired over the last 15 years as a result of data-driven digital transformation across retail banking, insurance, brokerage, and payment systems institutions has been relatively…

Italy’s Intesa reports strong Q1 digital channel usage with AI fintech

May 19, 2020

AnalytixInsight, artificial intelligence, data analytics, electronic trading, Intesa Sanpaolo, machine learning

Intesa Sanpaolo’s Q1 2020 report showed strong online digital channel usage during the quarter. The bank’s app series is part of its digital strategy to invest €2.8 billion euros to increase…

IFC: what central banks should do in setting up next-generation tech

May 4, 2020

artificial intelligence, Big Data, Central Banks, HPC, IFC, machine learning

Public authorities, and central banks in particular, are increasingly realizing the potential of big data sets and analytics – with the development of artificial intelligence (AI) and machine learning (ML)…

CaixaBank using quantum computing to develop risk classification model

April 18, 2020

CaixaBank, machine learning, Quantum Computing, risk models

The company is advancing its quantum computing strategy and has developed a machine learning algorithm to classify customers according to their credit risk. With this project, CaixaBank has become the…

Pricing in covid-19: how alt-data is being deployed in seclending (Premium)

April 15, 2020

Artificial Intelligence, Big Data, Technology

alternative data, machine learning, Short selling, State Street, supervised learning, Tidal Markets, topstory, volatility indicators

The market dislocation in mid-March saw all assets correlate in a major sell-off, prompting major knock-on effects for securities financing and collateral management. We take a look at what the…

Bank of England: How to see it coming: predicting bank distress with machine learning

February 28, 2020

Josh Galper

News and Notes

bank distress, Bank of England, machine learning

The great American baseball sage, Yogi Berra, is thought to have once remarked: ‘It’s tough to make predictions, especially about the future’. That is certainly true, but thankfully the accelerating…

Risk: Singapore banks tighten ML governance amid regulatory scrutiny

February 27, 2020

AI ethics, artificial intelligence, DBS, Deutsche, machine learning, MAS, Standard Chartered

Banks in Singapore — DBS, StanChart and Deutsche — are building model inventories and drawing up standards around use cases. They are building inventories of machine learning-based (ML) models in…

FIS releases global survey on policy responses to fintech

February 3, 2020

artificial intelligence, BIS, cryptoassets, cybersecurity, fintech, FSI, machine learning, Regulation

Financial authorities have responded to fintech developments in various ways. Based on survey responses from 31 jurisdictions, this paper from the Financial Stability Institute provides a cross-country overview of policy…

DataLend’s Nancy Allen on 2019’s market trends and tech (Premium)

January 8, 2020

Securities Lending, Technology

DataLend, Equilend, machine learning, reconciliation, Specials, topstory

More supply and lower revenues defined securities lending in 2019, which found borrowers sitting on the sidelines maintaining a long bias. We spoke with Nancy Allen, global product owner at…

BIS research: machine learning versus traditional credit scoring models

December 19, 2019

BIS, credit, machine learning

Financial technology (fintech) is taking on an ever more important role in lending decisions. This paper compares the predictive power of credit scoring models based on machine learning techniques, as…

Banca d’Italia’s Franco on data and tech applications for central banks

December 11, 2019

Bank of Italy, Big Data, Central Banks, machine learning

Some data and tech applications that can improve central bank activities include extraction of quantitative information from texts and images, which can be useful for forecasting financial market variables, predicting…

Broadridge launches AI&ML platform for middle/back office

December 3, 2019

artificial intelligence, back office, Broadridge, explainable AI, machine learning, middle office, Tookitaki

Broadridge Financial Solutions announced the launch of Broadridge Data Control Intelligent Automation, a new artificial intelligence (AI) and machine learning (ML) platform built to be deployed across industry-wide reconciliation, matching…

NVIDIA launches software for complex financial analysis

November 19, 2019

artificial intelligence, Big Data, GPUs, IBM, machine learning, Mellanox, Microsoft Azure, Nvidia

NVIDIA introduced Magnum IO, a software package that processes huge amounts of data in minutes instead of hours. The software package was developed in collaboration with IBM and Mellanox, among…

Fund admin spinout Harmonate launches middle office ML data platform

November 18, 2019

data management, Harmonate, machine learning, middle office, NES Financial

Harmonate announced the launch of its data operations platform for funds. Until this launch, its services were only available exclusively through a single fund administrator, NES Financial. The fintech now…

Citadel among early clients for Microsoft Azure’s move on Graphcore IPUs

November 13, 2019

Citadel, Graphcore, hardware acceleration, IPUs, machine learning, Microsoft Azure, NLP

Graphcore announced a collaboration for its Intelligence Processing Units (IPUs) with Microsoft Azure. This is the first time a major public cloud vendor is offering Graphcore IPUs, which are built…

Eurekahedge: AI funds flat, crypto funds up 8.5% in October

November 12, 2019

artificial intelligence, cryptocurrencies, Eurekahedge, hedge funds, machine learning

Fund managers using AI/machine learning strategies registered 0.89% return in October. On a year-to-date basis, the Eurekahedge AI Hedge Fund Index is up 4.16%. The Eurekahedge AI Hedge Fund Index…

BoE research: regulators could use ML for advance warning system

October 9, 2019

Bank of England, banks, machine learning

In this paper, staff researchers from the Bank of England use novel data and machine learning techniques to build an early warning system for UK bank distress. They compare a…

Eurekahedge: AI funds slump 1.2%, crypto funds down 10.6% in September

October 8, 2019

artificial intelligence, cryptocurrencies, Eurekahedge, hedge funds, machine learning

Fund managers using AI/machine learning strategies posted their third consecutive month of losses, as they slumped 1.24% in September. On a year-to-date basis, the Eurekahedge AI Hedge Fund Index is…

NZH: fund managers beating AI-driven strategies so far

October 7, 2019

Aberdeen Standard Investments, AQR, artificial intelligence, hedge funds, machine learning, Panagora

How good is artificial intelligence at managing money? To judge by the recent performance of some AI-driven strategies, it doesn’t look like the robots are going to take over from…

Regtech: when AI watches you, what will the regulator see?

October 1, 2019

Artificial Intelligence, Automation, Regulatory, Technology

AI ethics, artificial intelligence, CDM, data analysis, distributed ledger technologies, DLT, machine learning, predictive analytics, regtech, topstory

Regulators want to disrupt the way they are regulating, and how advanced technologies answer critical compliance questions is going to determine the pace of travel, even while the direction seems…

FISL Europe: securities lending deeply divided between optimism and pessimism

September 25, 2019

Europe, FISL, Regulatory

artificial intelligence, CSDR, FISL Paris, machine learning, SFTR, topstory

The Finadium Investors in Securities Lending Europe event yesterday in Paris gathered some 140 attendees across the buy-side, sell-side, regulators and vendors for what was a robust and insightful set…

MATLAB publishes reinforcement learning ebook

September 10, 2019

artificial intelligence, machine learning, MATLAB, reinforcement learning

Reinforcement learning is a type of machine learning that enables the use of artificial intelligence in complex applications, and RL learning algorithms are now beating professionals in games like GO,…

Eurekahedge: AI hedge funds up, crypto funds down in August

September 10, 2019

AI funds, artificial intelligence, crypto funds, cryptocurrencies, Eurekahedge, hedge funds, machine learning

artificial intelligence, machine learning, State Street

Fund managers using AI/machine learning strategies ended the month of August up 1.46%. The Eurekahedge AI Hedge Fund Index was up 4.37% year-to-date. The Eurekahedge AI Hedge Fund Index is…

Market Media: State Street presents on AI in securities lending

September 8, 2019

Josh Galper

News and Notes

State Street and its research arm State Street Associates have collaborated to optimize their securities lending business through the deployment of an internally developed machine learning model. The project’s goal…

Bloomberg: traditional quant money manager shifts to machine learning

September 1, 2019

machine learning, Millburn Ridgefield, money funds