Technical paper/Operational risk
Unraveling Lebanon’s financial crisis: the path from promise to peril, delving into a risk strategist’s own experience
The author investigates the causes of Lebanon's financial crisis which began in 2019 and puts forward suggestions with which to restore trust and stability.
Natural language processing-based detection of systematic anomalies among the narratives of consumer complaints
The authors develop a means to detect nonmeritorious consumer complaints using natural language processing.
Do government audits raise the risk awareness of management? An investigation from the perspective of cost variability
The authors investigate the impact of government audits on state-owned enterprises, finding they increase cost variability in these enterprises.
Integrating internal and external loss data via an equivalence principle
The authors put forward a means address data scarcity in operational risk modelling by supplementing internal loss data with external loss data.
Semi-nonparametric estimation of operational risk capital with extreme loss events
The authors put forward a means to estimate value-at-risk capital during extreme loss events which combines SNP estimation with EVT-POT theory.
Estimating the probability of insurance recovery in operational risk
The authors put forward a novel methodology for the estimation of probability of insurance recovery.
Credible value-at-risk
This paper proposes a means to determine whether a a calculated VaR is "too large" and give a definition of this term within the context.
How does fintech affect the revenue and risk of commercial banks? Evidence from China
The authors use data from Chinese commercial banks to investigate relationships between the development and adoption of fintech and the revenue and risk of commercial banks.
Estimating the correlation between operational risk loss categories over different time horizons
The authors propose and demonstrate the value of a model with which mathematical techniques can be applied to analytically calculate means, variances and covariances more accurately than Monte Carlo simulations.
Operational risk and regulatory capital: do public and private banks differ?
The authors investigate relationships between operational risk and regulatory capital in Indian public and private banks.
A text analysis of operational risk loss descriptions
The authors put forward a workflow for using text analysis to identify underlying risks in operational risk event descriptions.
Integrating text mining and analytic hierarchy process risk assessment with knowledge graphs for operational risk analysis
This paper proposes a new method, entitled the risk-based knowledge graph, which is designed to make analysis of safety records from an operational risk perspective easier and more efficient.
Cyber risk definition and classification for financial risk management
The authors put forward a definition and classification scheme for cyber risk than can be used as a template for data collection by financial institutions.
The information value of past losses in operational risk
The authors argue that past operational losses inform future losses at banks and that the information provided by past losses results from their capturing factors that are hard to quantify in other tests.
Application of the radial basis function in solving an operational risk management model: investigating the probability of bank survival with risk reserves
The authors investigate the probability of bank survival in relation to operational risk and risk reserve and calculate the amount of risk storage necessary to achieve the desired probability of survival.
Does board diversity mitigate firm risk-taking? Empirical evidence from China
The authors explore the relationship between firm risk and both demographic and cognitive-oriented board diversity.
Measuring tail operational risk in univariate and multivariate models with extreme losses
The authors consider operational risk models and derive limit behaviors for the value-at-risk and conditional tail expectation of aggregate operational risks in such models.
Operational risk: a global examination based on bibliometric analysis
The authors quantitively assess the quality of research on operational risk and find that research in this area has grown in popularity in recent years.
Machine learning for categorization of operational risk events using textual description
The authors summarise ways that machine learning can help categorize textual descriptions of operational loss events into Basel II event types.
Systemic operational risk in the Australian banking system: the Royal Commission
The author investigates the Royal Commission into Misconduct in the Banking, Superannuation and Financial Services Industry and its most prominent cases, as well as detailing examples of operational risk events that the commission did not cover.
How does the pandemic change operational risk? Evidence from textual risk disclosures in financial reports
The authors investigate changes in operational risk profiles of the financial industry following the Covid-19 pandemic.