Data
New directions – Diversification of alternative risk premia strategies
Despite a difficult year, investors remain keen to use alternative risk premia strategies. However, current approaches may be less diversified than they appear, especially given cross-contamination in cash equity factors. According to Nomura, a more…
Anticipating change – How GRC teams can empower the first line of defence
Financial firms are increasingly adopting the three lines of defence framework to manage risk. But how has the model evolved to date and what does the future look like for this key risk management tool?
Best commodity research, Asia: Refinitiv
Energy Risk Asia awards, 2018: Shining a light into China’s opaque oil imports provides clients with valuable insight
Growing an institutional footprint in Asia’s ETF market
Hong Kong Exchanges and Clearing (HKEX) explores the burgeoning impact of institutional investors in Asia’s exchange‑traded funds (ETFs) market – which is demonstrating the potential to establish itself as a global force – with a focus on the rapid…
How to apply Python to complex financial markets
The unprecedented proliferation of data in derivatives markets has led to a rise in popularity of Python, a multipurpose programming language known for its versatility and flexibility. Undoubtedly, the increased adoption of Python has helped enable…
AI data could be tainted even as it’s being cleaned
Risk USA: Expert says even touching raw data could lead to loss of context
Why Dario Villani trusts machine learning
Duality Group CEO says people should abandon ‘top-down, godlike model’ and their need to understand
CFTC finds harmony harder than it sounds
James Schwartz and Chrys Carey, of counsels at Morrison & Foerster, explore the impact of a recent Commodity Futures Trading Commission white paper – including how its author’s suggestions would affect cross-jurisdictional application of its regulations …
Trading costs versus arrival price – An intuitive and comprehensive methodology
Craig Niven, managing director, cash equity execution at Societe Generale Prime Services explores how a five‑month study allowed the organisation to develop a market impact model using historical data, and why it is key for clients in the long term to…
Python – Is the buzz justified?
Python is rapidly becoming the world’s most popular programming language and its versatility and ease of use has enabled it to achieve widespread adoption in finance, becoming the multipurpose tool of choice for quantitative analysts and other financial…
Keeping up with cloud adoption
Risk.net convened a webinar in collaboration with Murex to explore how, as more financial institutions move to the cloud, they can get the most out of their technology investments
The traditional buy versus build trade‑off
Firms undecided between buying from a vendor or building bespoke software can look to Beacon, whose ‘buy-and-build on-top-of’ offering combines the best of both options, writes Alex Sayle, global head of platform engineering at Beacon Platform
Compliance preparations amid uncertain rules
A forum of industry leaders discusses how banks will define individual trading desks under FRTB, whether BCBS 239 compliance projects can help banks meet FRTB risk data challenges, which model validation obstacles banks still face and other key topics
The initial margin challenge – Why the bang just got bigger
With uncertainty abounding as the industry heads into the final phases of implementation of the uncleared margin rules (UMR), Jean‑Paul Botha, delivery lead of financial trade documentation at Thomson Reuters Legal Managed Services, explores the…
Banks scan chat and web for trading intel
Market-makers seek new signals on volatility and direction via natural language processing
Embracing the sea change to come with FRTB
Firms have until 2021 to implement FRTB, and those yet to begin compliance efforts risk putting themselves at a disadvantage. EY‘s financial services risk partners Shaun Abueita and Sonja Koerner explore the current level of readiness within the industry…
Ripple effect: The impact of moving away from Libor
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A general framework for constructing bank risk data sets
This paper proposes a general framework for constructing bank risk data sets, which provides an integrated process from data sources to comprehensive risk data sets.