New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance

Towards Fairer Sanction Systems: Income-Based Models with Aggregation Functions.- Multidimensional inequality and measurement of Social Well-Being.- A neural network model approach to longevity risk management.- Climate-related Extensions of the Lee-Carter Model.- Quantification of Operational Flexibility in Wastewater Treatment Projects.- Roughness in VIX Index and in Realized Volatility: Rolling Window Estimation by Randomized Kolmogorov-Smirnov Distribution.- A Comparison of Data-driven Synthetic Performance Indicators for Default Prediction.- Rethinking the Indexation of Retirement Age: Cohort vs. Period Life Expectancy.- Temperature forecast for weather derivatives with Neural Network.- Modeling Health and Disability Trajectories in Later Life: A Multi-State Approach Using HRS Data.- Backtesting Expected Shortfall for Bitcoin: A Joint Combined LSTM-Based Approach.- Reverse mortgages: Exploring the impact of risk factors by source.- Understanding and attitudes toward Reverse Mortgage in Italy: cognitive dissonance and future concerns.- Climate Litigation Risk: Comparing Linear and Non Linear Losses of Insurances.- Option Hedging Through Reinforcement Learning.- Parameter Stability in Yield Curve Fitting.- Deep Learning for Tabular Data: Application to Credit Risk Modeling.- Modeling economic recovery via diffusion processes with multisigmoidal logistic mean subject to random catastrophes.- Scaling the Tails: Intraday Quantiles for forecasting Value-at-Risk and Expected Shortfall.- High-Profile GDPR Fines and their financial impact on listed firms: an exploratory analysis.- Delay-Adjusted Modeling of Cybersecurity Breaches Using INLA: Evidence from State Attorney General Data.- Addressing Long-Term Care Risk through Pension-Linked Insurance: A Stochastic Approach Using Severance Pay Scheme.

• Erscheinungsdatum: 01.01.2026
• Autor/Autorin: Michele La Rocca
• Reihe: Springer Nature Proceedings excluding Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 13.4 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 261 Seiten
• ISBN: 9783032055514
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.