The Solvency Capital Requirement (SCR) calculation is computationally intensive, relying on the market-consistent estimation of own funds. While Solvency II prioritizes the direct valuation method, it theoretically yields the same value as the indire...
CISO Assistant is a one-stop-shop GRC platform for Risk Management, AppSec, Compliance & Audit, TPRM, Privacy, and Reporting. It supports 100+ global frameworks with automatic control mapping, including ISO 27001, NIST CSF, SOC 2, CIS, PCI DSS, NIS2, DORA, GDP…
Stochastic Discount Factor (SDF) models provide a unified framework for asset pricing and risk assessment, yet traditional formulations struggle to incorporate unstructured textual information. We introduce NewsNet-SDF, a novel deep learning framewor...
The novel coronavirus disease (COVID-19) has crushed daily routines and is still rampaging through the world. Existing solution for nonpharmaceutical interventions usually needs to timely and precisely select a subset of residential urban areas for c...
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework. (⭐ 254)
The rise of cyber-physical systems in safety-critical domains calls for robust risk-evaluation frameworks. Assurance cases, often required by regulatory bodies, are a structured approach to demonstrate that a system meets its safety requirements. How...
We construct a binomial model for a guaranteed minimum withdrawal benefit (GMWB) rider to a variable annuity (VA) under optimal policyholder behaviour. The binomial model results in explicitly formulated perfect hedging strategies funded using only p...
For decades, National Football League (NFL) coaches' observed fourth down decisions have been largely inconsistent with prescriptions based on statistical models. In this paper, we develop a framework to explain this discrepancy using an inverse opti...
Users suffering from mental health conditions often turn to online resources for support, including specialized online support communities or general communities such as Twitter and Reddit. In this work, we present a neural framework for supporting a...
Numerous security metrics have been proposed in the past for protecting computer networks. However we still lack effective techniques to accurately measure the predictive security risk of an enterprise taking into account the dynamic attributes assoc...
Security metrics serve as a powerful tool for organizations to understand the effectiveness of protecting computer networks. However majority of these measurement techniques don't adequately help corporations to make informed risk management decision...
Hybrid models combining Black-Scholes, Heston, Schöbel-Zhu, and Hull-White frameworks to capture both stochastic volatility and interest rates for pricing and risk management of diversified financial products. (⭐ 2 | Jupyter Notebook)
robotic missions. This framework defines cost, schedule and technical risk parameters to enable competitive selection of missions involving mission candidates
"Back on JRE with @joerogan. We talk about stuff outside of longevity and go deep in the weeds of longevity. Talk a lot about COVID, the vaccines (and my framework for risk), ivermectin, fluvoxamine, the latest drugs from Pfizer and Merck, plus a lot more!"
As AIs rapidly advance and become more agentic, the risk they pose is governed not only by their capabilities but increasingly by their propensities, including goals and values. Tracking the emergence of goals and values has proven a longstanding problem, and…
Fuel PHP Framework - Fuel v1.x documentation (⭐ 166)
Render framework for NPR. (⭐ 1098)
Pure CSS framework designed & developed by eBay for a branded, e-commerce marketplace. (⭐ 188)
Fonda is a framework which offers scalable and automatic analysis of multiple NGS sequencing data types (⭐ 8)
A project manager built with the Kohana framework (3.x) (⭐ 28)