This book aims to address how nanotechnology risks are being addressed by scientists, particularly in the areas of human health and the environment and how these risks can be measured in financial terms for insurers and regulators. It provides a comprehensive overview of nanotechnology risk measurement and risk transfer methods, including a chapter outlining how Bayesian methods can be used. It also examines nanotechnology from a legal perspective, both current and potential future outcomes. The global market for nanotechnology products was valued at $22.9 billion in 2013 and increased to about $26 billion in 2014. This market is expected to reach about $64.2 billion by 2019, a compound annual growth rate (CAGR) of 19.8% from 2014 to 2019. Despite the increasing value of nanotechnologies and their widespread use, there is a significant gap between the enthusiasm of scientists and nanotechnology entrepreneurs working in the nanotechnology space and the insurance/regulatory sector. Scientists are scarcely aware that insurers/regulators have concerns about the potential for human and environmental risk and insurers/regulators are not in a position to access the potential risk. This book aims to bridge this gap by defining the current challenges in nanotechnology across disciplines and providing a number of risk management and assessment methodologies. Featuring contributions from authors in areas such as regulation, law, ethics, management, insurance and manufacturing, this volume provides an interdisciplinary perspective that is of value to students, academics, researchers, policy makers, practitioners and society in general.

This book aims to address how nanotechnology risks are being addressed by scientists, particularly in the areas of human health and the environment and how these risks can be measured in financial terms for insurers and regulators. It provides a comprehensive overview of nanotechnology risk measurement and risk transfer methods, including a chapter outlining how Bayesian methods can be used. It also examines nanotechnology from a legal perspective, both current and potential future outcomes. The global market for nanotechnology products was valued at $22.9 billion in 2013 and increased to about $26 billion in 2014. This market is expected to reach about $64.2 billion by 2019, a compound annual growth rate (CAGR) of 19.8% from 2014 to 2019. Despite the increasing value of nanotechnologies and their widespread use, there is a significant gap between the enthusiasm of scientists and nanotechnology entrepreneurs working in the nanotechnology space and the insurance/regulatory sector. Scientists are scarcely aware that insurers/regulators have concerns about the potential for human and environmental risk and insurers/regulators are not in a position to access the potential risk. This book aims to bridge this gap by defining the current challenges in nanotechnology across disciplines and providing a number of risk management and assessment methodologies. Featuring contributions from authors in areas such as regulation, law, ethics, management, insurance and manufacturing, this volume provides an interdisciplinary perspective that is of value to students, academics, researchers, policy makers, practitioners and society in general.

Presenting state-of-the-art methods in the area, the book begins with a presentation of weak discrete time approximations of jump-diffusion stochastic differential equations for derivatives pricing and risk measurement. Using a moving least squares reconstruction, a numerical approach is then developed that allows for the construction of arbitrage-free surfaces. Free boundary problems are considered next, with particular focus on stochastic impulse control problems that arise when the cost of control includes a fixed cost, common in financial applications. The text proceeds with the development of a fear index based on equity option surfaces, allowing for the measurement of overall fear levels in the market. The problem of American option pricing is considered next, applying simulation methods combined with regression techniques and discussing convergence properties. Changing focus to integral transform methods, a variety of option pricing problems are considered. The COS method is practically applied for the pricing of options under uncertain volatility, a method developed by the authors that relies on the dynamic programming principle and Fourier cosine series expansions. Efficient approximation methods are next developed for the application of the fast Fourier transform for option pricing under multifactor affine models with stochastic volatility and jumps. Following this, fast and accurate pricing techniques are showcased for the pricing of credit derivative contracts with discrete monitoring based on the Wiener-Hopf factorisation. With an energy theme, a recombining pentanomial lattice is developed for the pricing of gas swing contracts under regime switching dynamics. The book concludes with a linear and nonlinear review of the arbitrage-free parity theory for the CDS and bond markets.