Financial markets
Risk Technology Awards 2019: Making machines more helpful
Machine learning can be too efficient; now, vendors are looking for ways to make it more accurate. Clive Davidson looks at the stories behind this year’s Risk Technology Awards
How AI could tear up risk modelling canon
BlackRock, MSCI, LFIS among firms looking to replace traditional, linear risk models
Asset managers urged to sign global forex code
Firms risk hit to reputation by not committing to standards on market practice, investor says
New applications in Asia’s financial crime analytics
Financial crime is a fast-growing problem for Asia‑Pacific financial services firms. Working with outmoded systems and patched-up processes to detect, monitor and eliminate potential threats, banks are spending millions on sophisticated new solutions to…
The evolution of GRC – New tools for the first line of defence
IBM explores how, in the rapidly changing global financial markets, next-generation governance, risk and compliance solutions are empowering growing numbers of organisations and business users to make risk-aware decisions and increase process efficiency…
Asia moves: New CEO for BNP Paribas Cardif, GIC gets new COO, plus more
Latest job changes across industry
Ensemble models in forecasting financial markets
In this paper, the authors study an evolutionary framework for the optimization of various types of neural network structures and parameters.
IFRS 17 Special report 2019
The insurance industry has long been vocal about the need for a two-year extension to the International Accounting Standards Board’s (IASB’s) proposed 2021 implementation date for International Financial Reporting Standard (IFRS) 17 – the accounting…
Asia moves: BlackRock picks new Asia head, Credit Suisse boosts regional solutions, and more
Latest job changes across industry
Dependence dynamics among exchange rates, commodities and the Brazilian stock market using the R-vine SCAR model
The objective of this paper is to assess the dependence dynamics among Brazilian real exchange rates, commodity prices and the Brazilian stock market using a regular vine copula combined with the stochastic autoregressive copula model.
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…
Balance-sheet interest rate risk: a weighted Lp approach
In this paper, the authors introduce a new interest rate risk measure that is a product of two factors: one related to the distance between assets and liabilities in the Lp-space of financial instruments, and the other linked to the performance of the…
Asia embraces intelligent automation
Asia’s adoption of new tools and processes has gained significant momentum, with increased automation now a primary focus for many financial firms. Paul Worthy, head of Japan at Tradeweb, explores how this change has come about, and how firms can use the…
If regulations don’t bend, they’ll break
Financial regulation should be adaptive, not reactive, argues Andrew Lo
A CCP is a CCP is a CCP
This paper discusses the many differences between CCPs and banks as well as the significance of these differences.
Asia Risk Interdealer Rankings 2018: The winners
Societe Generale and BGC top the tables
The predictability implied by consumption-based asset-pricing models: a review of the theory and empirical evidence
This paper examines whether two well-known models, Campbell and Cochrane’s habit model and Bansal and Yaron’s long-run risks model, can produce significant return predictability.
When do central counterparties enhance market stability?
This paper examines the impact of market structure and payment assumptions on the fragility of various networks.
Central counterparty resolution: an unresolved problem
This paper describes the current policy for recovery and resolution of CCPs and assesses the tool kit for resolution of them.
European split on NSFR worries dealers
Squabble over derivatives liabilities factor sparks fears of unlevel playing field
Ranking the economic importance of countries and industries
The authors present a methodological framework for quantifying interdependencies in the global market and for evaluating risk levels in the worldwide financial network.