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Nonlinear option pricing
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ISBN: 9781466570337 1466570334 Year: 2014 Publisher: Boca Raton (Fla): CRC,

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Indifference pricing : theory and applications.
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ISBN: 1282531433 9786612531439 1400833116 9781400833115 0691138834 9780691138831 9781282531437 6612531436 Year: 2009 Publisher: Princeton Princeton university

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This is the first book about the emerging field of utility indifference pricing for valuing derivatives in incomplete markets. René Carmona brings together a who's who of leading experts in the field to provide the definitive introduction for students, scholars, and researchers. Until recently, financial mathematicians and engineers developed pricing and hedging procedures that assumed complete markets. But markets are generally incomplete, and it may be impossible to hedge against all sources of randomness. Indifference Pricing offers cutting-edge procedures developed under more realistic market assumptions. The book begins by introducing the concept of indifference pricing in the simplest possible models of discrete time and finite state spaces where duality theory can be exploited readily. It moves into a more technical discussion of utility indifference pricing for diffusion models, and then addresses problems of optimal design of derivatives by extending the indifference pricing paradigm beyond the realm of utility functions into the realm of dynamic risk measures. Focus then turns to the applications, including portfolio optimization, the pricing of defaultable securities, and weather and commodity derivatives. The book features original mathematical results and an extensive bibliography and indexes. In addition to the editor, the contributors are Pauline Barrieu, Tomasz R. Bielecki, Nicole El Karoui, Robert J. Elliott, Said Hamadène, Vicky Henderson, David Hobson, Aytac Ilhan, Monique Jeanblanc, Mattias Jonsson, Anis Matoussi, Marek Musiela, Ronnie Sircar, John van der Hoek, and Thaleia Zariphopoulou. The first book on utility indifference pricing Explains the fundamentals of indifference pricing, from simple models to the most technical ones Goes beyond utility functions to analyze optimal risk transfer and the theory of dynamic risk measures Covers non-Markovian and partially observed models and applications to portfolio optimization, defaultable securities, static and quadratic hedging, weather derivatives, and commodities Includes extensive bibliography and indexes Provides essential reading for PhD students, researchers, and professionals


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Pricing algorithms in EU competition law
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ISBN: 9789046610008 Year: 2019 Publisher: Portland, Or. Maklu

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The past few decades have seen competition law increasingly capture the public's imagination, with the heavy fines imposed on digital companies such as Microsoft (2004) and Google (2017, 2018, 2019) making headlines throughout the world. At the same time, US public officials and publications have become more outspoken in their criticism of what some describe as their tech giants being taken advantage of overseas. In Europe too, there is a growing feeling that the profound changes brought on by the digitisation of our economies are challenging the existing rules. One example is the advent of digital or algorithmic cartels, where companies collude on prices using opaque software. Take Uber, for instance. Are the independent drivers joining the ride-hailing platform inadvertently joining a price-fixing conspiracy as well? How do we detect such digital cartels, and how do we determine whether software is legal or prohibited? Can sharing the same computer program constitute a concerted practice? Such novel questions have often been met with calls for new regulation, better adapted to the digital economy. However, much can be gained from taking a closer look at the actual impact these digital tools have on the market. In the words of an FTC Commissioner, should we really fear the things that go 'beep' in the night?This book aims to do just that, using the results of economic research and computer science as the starting point for a legal analysis of these digital cartels. It analyses several forms of algorithmic collusion in decreasing order of human involvement. Indeed, the role of algorithms can range from supporting a cartel to being its sole perpetrator, and each scenario tests current competition law in a different way. This is followed by an overarching perspective on public and private enforcement, as well as a brief discussion of two related issues at the intersection of data protection and competition law: personalised pricing and algorithmic consumers.

Nonlinear pricing
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ISBN: 0195068858 9780195068856 0195115821 Year: 1993 Publisher: New York (N.Y.): Oxford university press

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