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Machine Learning in Asset Pricing
A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources.In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems.Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing.In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tools were developed originally.To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications.Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools.Beginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets. Machine Learning in Asset Pricing presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.
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Pricing : A Guide to Pricing Decisions
This book on pricing decisions gives practical guidance on how to identify customer value, estimating customers’ willingness to pay for these benefits, and on how psychology affects customers’ perception of prices in a market.This strategic view on pricing gives the reader a competitive advantage.It empowers them with means to plan and perform a pricing strategy based on their value propositions. The target group for this book is managers, entrepreneurs, and business students.The book guides the reader in understanding how economics, strategy, marketing, and psychology are combined when it comes to pricing decisions.Further, the chapters contain step-by-step procedures that help managers and entrepreneurs to succeed with complex pricing decisions in busy workdays.The analysis is based on the basic edition of Microsoft Excel software.In sum, the book helps the reader to strategically plan, execute, and win price competitions.It covers topics such as dynamic pricing, estimation of customers willingness to pay, price competition and wars, customers’ reaction to unfair prices, and price tactics and strategy.The book includes specialized chapters on pricing in e-commerce, and pricing in the sharing economy.
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Museums and Interactive Virtual Learning
Museums and Interactive Virtual Learning provides informal educators with practical resources that will help them to build dynamic digital engagement experiences within their own cultural organizations. Presenting vignettes from experienced museum educators and end users, as well as scientific data and practical resources, the book highlights the mutual benefits that Interactive Virtual Learning (IVL) programs offer to the museum and those visiting from a distance.Chapters mirror the step-by-step process of developing reputable IVL programs and emphasize how important it is for cultural organizations to encourage cross-departmental collaboration, if they wish to ensure that their programs align with the overall goals of the organization.Providing a thorough overview of the technologies, budget, marketing and staff requirements, the authors offer a realistic depiction of the work involved in building content for digital engagement.Emphasizing the importance of assessing existing programming, the book shows how institutions can adapt content to fit a virtual format and create inclusive digital engagement opportunities that reach local, national, and international audiences. Museums and Interactive Virtual Learning is an essential guide for professionals who are tasked with interpreting the content of a cultural organization and building lasting digital engagement opportunities.It will be particularly useful to those looking to reach diverse audiences.
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Pricing Design
Pricing projects can feel tricky, but it doesn't have to be. Dan Mall explains how to earn more, by understanding what goes into a price (and why hourly rates don't work) and what your clients really want-and are willing to pay for. Learn the right questions to ask and when, and ways to turn client requirements into numbers, with a real-world example from Dan's agency. Whether you're running a shop or going solo, this is a book you can't afford to miss.
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The Pricing Journey : The Organizational Transformation Toward Pricing Excellence
Innovations in pricing can be transformative, but to reach their potential companies must devote equal attention to technical and organizational capabilities.Most firms, however, only pay attention to the technical dimensions of pricing, which severely limits the success of their initiatives.To remedy this, The Pricing Journey provides an integrated guide to the organizational, social, and behavioral aspects of pricing—drawing on principles of socio-technical change.Based on extensive qualitative and quantitative research in an array of firms around the world, Stephan M.Liozu provides a practical roadmap for management teams that aim to reach a new level of pricing power. Liozu introduces the 5 C model of transformation, which relies on change, capabilities, champions, confidence, and center-led organizational design to create effective and lasting pricing strategies.Rooting his recommendations in research and practice, Liozu proposes specific capabilities to develop on the road to pricing excellence.This book prepares pricing and marketing professionals to be true strategic partners, while contributing the study of pricing transformation.
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Nonlinear Option Pricing
New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues.Written by two leaders in quantitative research—including Risk magazine’s 2013 Quant of the Year—Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing.Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods.Real-World Solutions for Quantitative Analysts The book helps quants develop both their analytical and numerical expertise.It focuses on general mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems.The authors build intuition through numerous real-world examples of numerical implementation.Although the focus is on ideas and numerical examples, the authors introduce relevant mathematical notions and important results and proofs.The book also covers several original approaches, including regression methods and dual methods for pricing chooser options, Monte Carlo approaches for pricing in the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection method and the particle method for calibrating local stochastic volatility models to market prices of vanilla options with/without stochastic interest rates, the a + b? technique for building local correlation models that calibrate to market prices of vanilla options on a basket, and a new stochastic representation of nonlinear PDE solutions based on marked branching diffusions.
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Microsoft CSP Microsoft Viva Learning (Non-Profit Pricing) [1J1M]
Microsoft CSP Microsoft Viva Learning (Non-Profit Pricing) [1J1M]
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Microsoft CSP Microsoft Viva Learning (Education Faculty Pricing) [1M1
Microsoft CSP Microsoft Viva Learning (Education Faculty Pricing) [1M1M]
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