Journals
We will shock you: a coherent Bayesian approach for stress testing
The authors propose a novel coherent Bayesian stress test method which preserves the mathematical properties of the risk measures.
Expectile risk quadrangles and applications
The authors study the expectile risk measure within the fundamental risk quadrangle framework, constructing a new quadrangle where the expectile is both a statistic and a risk measure.
Retail payment technology and money demand: evidence from China
Using evidence from China between 1999 and 2020, the authors investigate the impact of retail payment technology on money demand.
Soft information in financial distress prediction: evidence of textual features in annual reports from Chinese listed companies
The authors use textual data in a model to predict financial distress, demonstrating that this can enhance prediction outcome versus traditional financial data alone.
On the boundary conditions adopted in stochastic volatility option pricing models
The authors recommend boundary conditions that should be adopted when pricing European- and American-style options under the Heston model.
Using option prices to trade the underlying asset
The authors propose strategies with which to trade the underlying assets of options based on large data sets generated by options trading.
Relaxing the assumption of conditional independence in an asymptotic single risk factor model
Within the framework of dynamic credit provisioning and stress testing, this paper shows how conditional correlation impacts an asymptotic single risk factor model.
Multiperiod static hedging of European options
The authors extend the approach of Carr and Wu (2014) to cover options over multiple short maturities and demonstrate a practical application of their proposed method.
Bonus caps and bankers’ risk-taking
The authors investigate the relationship between bankers' risk-taking and bonus caps, finding negligible evidence that bonus caps reduce risk taking at the median bank.
Financial performance in electricity and gas markets: some empirical evidence from a cluster analysis
The authors undertake a cluster analysis of energy companies in Italy and the UK for the period 2008-2017.
Assessing the efficiency of pure-play internet banks in South Korea, Japan and China with data envelopment analysis
The authors investigate the efficiency of pure-play internet banks in China, Japan and South Korea, recommending they focus on the management of noninterest expenses and income to ensure stable profts.
Distributionally robust optimization approaches to credit risk management of corporate loan portfolios
A new approach to manage credit risk in financial institutions - the empirical divergence-based distributionally robust optimization - is proposed and shown to alleviate the challenges of sample sparsity and data uncertainty in credit risk modeling.
Option pricing under the normal stochastic alpha–beta–rho model with Gaussian quadratures
The authors integrate a Gaussian quadrature for option pricing under the normal alpha–beta–rho model, which they demonstrate to calculate accurate, arbitrage-free price and delta.
A method of classifying imbalanced credit data based on the AC-CTGAN hybrid sampling algorithm
The authors put forward a novel method with which to identify risk in consumer credit data and demonstrate its enhanced generalization ability compared to commonly used methods.
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.
Sustainable power purchase contracts for local industries from floating-solar and pumped-hydro integration
The authors put forward both business and technical cases for the provision of baseload power to local industrial and commercial users by hybrid floating-solar and pumped-hydro facilities.
Cyber risk assessment model for information assets: a tailored approach for the financial and banking sector
The authors present a novel model risk assessment model designed specifically for cyber risks and information assets,
Research on the multifractal volatility of Chinese banks based on the synthetic minority oversampling technique, edited nearest neighbors and long short-term memory
The authors propose the SMOTEENN-LSTM method to predict risk warnings for Chinese banks, demonstrating the improved performance of their model relative to commonly used methods.
Artificial intelligence in crisis management: a bibliometric analysis
The authors carry out a bibliometric analysis of academic papers in the field of artificial intelligence applications in crisis management and propose potential new directions for researchers in this field.
A qualitative study of operational resilience in financial institutions
The authors analyze data from a qualitative survey of senior G-SIB employees to identify recommendations for organisations looking to improve their operational resilience.
The fundamental role of the repo market and central clearing
The authors evaluate different economic functions of repo contracts and offer a summary of the structure of government bond repo markets in core advanced economies.