Home Knowledge Base Financial Risk Assessments

Financial Risk Assessments

No mentions found

This entity hasn't been tracked yet, or Iris is still building its knowledge base.

Related Articles from SNS

[Written Question] Gambling: Risk Assessment

Mr Lee Dillon Answering Body: Department for Culture, Media and Sport Question: To ask the Secretary of State for Culture, Media and Sport, what assessment her Department has made of whether Financial Risk Assessments under the Gambling Commission's pilot remain aligned with the policy intent set out in the 2023 gambling white paper;

UK Parliament Written Questions 7h ago

Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

arXiv:2606.05710v1 Announce Type: new Abstract: The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased exposure to advanced cyber adversaries and operational vulnerabilities. AI-powered governance and automated decision-making systems are becoming a key part of the operation of critical infrastructure systems, including energy, healthcare, transportation, financial services, and communication...

arXiv CS 5d ago

Multilevel randomized quasi-Monte Carlo estimator for nested integration

arXiv:2412.07723v5 Announce Type: replace Abstract: Nested integration problems arise in various scientific and engineering applications, including Bayesian experimental design, financial risk assessment, and uncertainty quantification. These nested integrals take the form $\int f\left(\int g(\boldsymbol{y},\boldsymbol{x})\mathrm{d}\boldsymbol{x}\right)\mathrm{d}\boldsymbol{y}$, for nonlinear $f$, making them computationally challenging, particularly in high-dimensional settings. Although...

arXiv CS 7d ago

FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance

arXiv:2606.03184v1 Announce Type: cross Abstract: Financial forecasting is difficult due to low signal-to-noise ratios, latent factors, heavy tails, regime shifts, and jumps. Real-world benchmarks offer limited failure attribution: researchers can observe underperformance, but often cannot isolate why because mechanisms are unobservable and entangled. Real financial data reveal only one realized path, making it difficult to assess tail-risk calibration or data efficiency.

arXiv CS 7d ago

Extending the UXR Point of View Pyramid: A Generative AI-Augmented Methodology for Human-Centred AI Systems

Announce Type: new Abstract: Rising household debt and cost-of-living pressures in the United Kingdom have intensified the role of AI-driven financial technologies in mediating credit assessment, repayment structuring, and debt support services. These systems increasingly shape consequential financial decisions, yet they operate within complex socio-technical environments characterised by regulatory constraint, algorithmic opacity, and heightened vulnerability risk. User Experience Research...

arXiv CS 9d ago

Towards Causal Market Simulators

arXiv:2511.04469v4 Announce Type: cross Abstract: Market generators using deep generative models have shown promise for synthetic financial data generation, but existing approaches lack causal reasoning capabilities essential for counterfactual analysis and risk assessment. We propose a Time-series Neural Causal Model VAE (TNCM-VAE) that combines variational autoencoders with structural causal models to generate counterfactual financial time series while preserving both temporal dependencies...

arXiv Physics 7d ago

Retirees fear running out of money. Many are spending too little instead

When people think of how much to save for retirement — and, subsequently, how to spend that money wisely in older age — many worry about the risk of running out of money early. They fear the possibility of overspending. But there's another less-appreciated danger, too, according to financial experts: The risk of underspending one's nest egg.

CNBC 2d ago

Planning to get your first loan or credit card? How lenders evaluate new-to-credit customers

Getting your first loan or credit card can often be a challenge. Your lack of credit history makes it difficult for lenders to assess your creditworthiness, which essentially means banks and NBFCs have no historic data around your credit behaviour to judge whether you would be a reliable borrower and pay your EMIs and credit card dues on time. Due to this, many ‘new to credit’ customers are left with limited options.

Times of India 7d ago

Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint)

Announce Type: replace Abstract: LLMs deployed in high-stakes domains face fundamental reliability challenges: hallucinations, inconsistencies, and privacy vulnerabilities introduce unacceptable risks where errors carry legal, financial, or safety consequences. This paper presents a hybrid verification architecture combining formal symbolic methods with neural semantic analysis to provide complementary guarantees for LLM-generated content. This architecture employs logical reasoning for...

arXiv CS 9d ago

Politically connected company won $15m government contract despite 'red flags'

Former Queensland ALP government awarded $15m contract to politically connected company despite 'red flags' Tue 9 Jun 2026 at 6:24am In short: The former Queensland government awarded an ultimately doomed $15 million contract to cybersecurity company Cryptoloc Holdings despite red flags, auditors have found. An audit of the tender process, obtained by the ABC under Right to Information laws, highlights a series of errors, including multiple issues with the financial accounts. Recommendations...

ABC Australia 2d ago