Technical paper
Capital-neutral securitisation risk weights
A closed-form formula to allocate capital to the tranches of a securitisation is presented
Addressing climate-related risks in banking: a framework for sustainable risk management and regulatory alignment
This paper puts forward a dual-layer approach to climate risk management with utilises root cause-based analysis and severity assessments to prioritize and address climate-related risks.
Public interest assessment in resolution of small and medium-sized banks in the European Union
This paper studies key determinants of public interest assessments in EU bank resolution with a focus on three factors: systemic risk, bank size and bank localness.
A minimum sample size definition for the purpose of loss provision extrapolation in the presence of default correlation
The author applies the Bernoulli distribution to an extrapolation of the capital provision that does not take into account the possible existence of a default correlation.
The effect of environmental, social and governance disclosure on corporate investment efficiency
Investigating the impact of environmental, social and governance (ESG) disclosure on investment efficiency, the authors' findings suggest that nonfinancial disclosure mandates can alleviate capital rationing issues for underinvesting firms.
Variance estimation for the quantification of the margin of conservatism category C
This paper discusses a new estimator for probability of default and compare its performance against two alternative approaches, demonstrating the novel method to have a lower bias and variance.
Multi-factor Gaussian model calibration: swaptions and constant maturity swap options
A novel closed-form method delivers a new way to calibrate interest rate models
Do earnings events reset the trading clock?
This paper uses a large number of earnings events from which the subset of outcomes for which the price strongly increased or declined into the earnings date.
A comprehensive explainable approach for imbalanced financial distress prediction
The authors suggest an explainable machine learning method for imbalanced financial distress prediction which uses extreme gradient boosting.
Metaverse momentum: analyzing financial system risks in an expanding virtual landscape
The authors respond to a lack of regulation in the metaverse, evaluate its vulnerabilities and draw attention to potential future issues that could require supervisory attention.
Perceived workplace accident frequency and its impact on employee withholding behaviors and perceived productivity
The authors analyze relationships between perceived workplace accident frequency, employee withholding and perceived productivity as well as the mitigating effects of perceived risk and active communication of safety measures.
Risk prevention and regulatory challenges in metaverse trading
This paper focuses on the regulatory model of the metaverse, discussing the regulation of assets found within the metaverse, issues surrounding censorship and possible legal responsibilities that could arise.
Mapping the influence of enterprise risk management: a systematic review and bibliometric analysis
The authors conduct a bibliometric analysis and systematic review to investigate the influence of enterprise risk management research.
Semiparametric GARCH models for value-at-risk and expected shortfall: an object-driven procedure
Basing their approach in object-drive smoothing, the authors calculate value-at-risk and expected shortfall via an application of semi-GARCH models.
Deep learning alpha signals from limit order books
An analysis on network architectures applied to limit order book data is presented
Return to the barrier: option pricing and calibration in foreign exchange markets
The authors investigate return barrier options and how failing to capture the market’s implied volatility surface can lead to mispricing of these options.
Systemic importance identification and risk supervision of banks: evidence from China
Investigating systemic risk, the authors build an interbank network based on tail dependence and suggest typical network centrality measures can suffer from redundancy issues.
Failure mode and effects analysis–analytic hierarchy process (FMEA-AHP) model in supplier risk management
The authors put forward an FMEA-AHP method to identify and manage supplier risks in a mining firm that is also applicable to other sectors and companies.
A multiplier approach for nonparametric estimation of the extreme quantiles of compound frequency distributions
The authors propose a nonparametric method for estimating extreme quantiles of operational risk reserves by utilizing a lower quantile of the severity distribution.
A dynamic method-of-moments copula model approach for market risk estimates
The authors propose a method-of-moments copula technique for estimating asset portfolios' market risk, demonstrating a significant reduction in copula estimation time.
Risk parity strategies with risk factors
The authors consider risk parity in portfolio trading and compare the performance of RP portfolios against traditional value- and equal-weighted portfolios, finding RP strategies to outperform the others in most cases.
Optimising broker evaluation through intraday modelling of execution cost
A method to assess brokers’ performance via their market impact is presented
Machine learning and a Hamilton–Jacobi–Bellman equation for optimal decumulation: a comparison study
This paper ascertains a decumulation strategy for the holder of a defined contribution pension plan with an approach based on neural network optimization.
Total value adjustment in a multicurrency framework with stochastic exchange rates and mean-reversion spreads
The authors employ portfolio replication and dynamic hedging techniques to derive models for pricing financial derivatives in multicurrency markets and in the presence of counterparty credit risk.