✦ LIBER ✦

Regulating Nanotechnologies: Risk Management Models and Nanomedicine

✍ Scribed by Joachim Schummer; Elena Pariotti

Publisher: Springer Netherlands
Year: 2008
Tongue: English
Weight: 73 KB
Volume: 2
Category: Article
ISSN: 1871-4757
DOI: 10.1007/s11569-008-0027-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Expert opinion on nanotechnology: risks,

Expert opinion on nanotechnology: risks, benefits, and regulation

✍ John C. Besley; Victoria L. Kramer; Susanna H. Priest 📂 Article 📅 2007 🏛 Springer Netherlands 🌐 English ⚖ 184 KB

Bottom-Up Risk Regulation? How Nanotechn

Bottom-Up Risk Regulation? How Nanotechnology Risk Knowledge Gaps Challenge Federal and State Environmental Agencies

✍ Maria C. Powell; Martin P.A. Griffin; Stephanie Tai 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 358 KB

Energy risk management and value at risk

Energy risk management and value at risk modeling

✍ Mehdi Sadeghi; Saeed Shavvalpour 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 197 KB

The value of energy trades can change over time with market conditions and underlying price variables. The rise of competition and deregulation in energy markets has led to relatively free energy markets that are characterized by high price shifts. Within oil markets the volatile oil price environme

Disaster risk management in development

Disaster risk management in development projects: models and checklists

✍ Sergio Mora; Kari Keipi 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 725 KB

Of risks and regulations: how leading U.

Of risks and regulations: how leading U.S. nanoscientists form policy stances about nanotechnology

✍ Elizabeth A. Corley; Dietram A. Scheufele; Qian Hu 📂 Article 📅 2009 🏛 Springer Netherlands 🌐 English ⚖ 225 KB

Evaluation of correlation forecasting mo

Evaluation of correlation forecasting models for risk management

✍ Vasiliki D. Skintzi; Spyros Xanthopoulos-Sisinis 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 234 KB 👁 1 views

## Abstract Reliable correlation forecasts are of paramount importance in modern risk management systems. A plethora of correlation forecasting models have been proposed in the open literature, yet their impact on the accuracy of value‐at‐risk calculations has not been explicitly investigated. In t