Frequency
Litigation risk assessment: a novel quantitative recency–frequency–monetary model
The authors assess litigation risk and credit risk of companies and investigate interrelationships between these risks, finding a correlation between them.
Search for alpha in a volatile world
Alpha generation can be an elusive goal, particularly when trading volatility. Three different approaches to trading volatility were discussed by a panel looking at the role of systematic and carry strategies in finding profit in a high-volatility world
Model risk management transformation
Financial institutions have been maturing their approaches to MRM and – as models become more complex and pervasive, and regulatory expectations continue to increase – leading financial institutions seek faster and further movement. Ashutosh Nawani, head…
Hong Kong warrants: this time it’s different
With their rise in popularity, warrant issuers must be on their guard at all times
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…
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…
Operational loss with correlated frequency and severity: an analytical approach
To enable autocorrelation in the frequency distribution, this paper proposes a significant generalization of the LDA model that involves treating operational risk as a Lévy jump-diffusion.
Setting the scene
Scenario analysis is often used to plug the gaps that conventional data can't fill. But it might have more to offer. Duncan Wood investigates