TECNICAS AVANZADAS DE PREDICCION PDF Download

Author:
Publisher:
ISBN: 9788416228577
Category : Mathematics
Languages : es
Pages :

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Author: Andrey Itkin
Publisher: World Scientific
ISBN: 9811212783
Category : Business & Economics
Languages : en
Pages : 205

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The concept of local volatility as well as the local volatility model are one of the classical topics of mathematical finance. Although the existing literature is wide, there still exist various problems that have not drawn sufficient attention so far, for example: a) construction of analytical solutions of the Dupire equation for an arbitrary shape of the local volatility function; b) construction of parametric or non-parametric regression of the local volatility surface suitable for fast calibration; c) no-arbitrage interpolation and extrapolation of the local and implied volatility surfaces; d) extension of the local volatility concept beyond the Black-Scholes model, etc. Also, recent progresses in deep learning and artificial neural networks as applied to financial engineering have made it reasonable to look again at various classical problems of mathematical finance including that of building a no-arbitrage local/implied volatility surface and calibrating it to the option market data.This book was written with the purpose of presenting new results previously developed in a series of papers and explaining them consistently, starting from the general concept of Dupire, Derman and Kani and then concentrating on various extensions proposed by the author and his co-authors. This volume collects all the results in one place, and provides some typical examples of the problems that can be efficiently solved using the proposed methods. This also results in a faster calibration of the local and implied volatility surfaces as compared to standard approaches.The methods and solutions presented in this volume are new and recently published, and are accompanied by various additional comments and considerations. Since from the mathematical point of view, the level of details is closer to the applied rather than to the abstract or pure theoretical mathematics, the book could also be recommended to graduate students with majors in computational or quantitative finance, financial engineering or even applied mathematics. In particular, the author used to teach some topics of this book as a part of his special course on computational finance at the Tandon School of Engineering, New York University.

Author: Hao Ni
Publisher: World Scientific
ISBN: 1786349388
Category : Business & Economics
Languages : en
Pages : 263

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In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!

Author: Mark H. Beers
Publisher: Merck
ISBN: 9780911910889
Category : Medical
Languages : en
Pages : 1507

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A unique interdisciplinary guide that addresses the challenges of geriatric care, now with a two-color design, all-new illustrations, and many redesigned tables.

Author: Dànielle Nicole DeVoss
Publisher: Peter Lang Incorporated, International Academic Publishers
ISBN: 9781433125614
Category : Copyright
Languages : en
Pages : 0

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The symbols, signs, and traces of copyright and related intellectual property laws that appear on everyday texts, objects, and artifacts have multiplied exponentially over the past 15 years. Digital spaces have revolutionized access to content and transformed the ways in which content is porous and malleable. In this volume, contributors focus on copyright as it relates to culture. The editors argue that what «counts» as property must be understood as shifting terrain deeply influenced by historical, economic, cultural, religious, and digital perspectives. Key themes addressed include issues of how: - Culture is framed, defined, and/or identified in conversations about intellectual property; - The humanities and other related disciplines are implicated in intellectual property issues; - The humanities will continue to rub up against copyright (e.g., issues of authorship, authorial agency, ownership of texts); - Different cultures and bodies of literature approach intellectual property, and how competing dynasties and marginalized voices exist beyond the dominant U.S. copyright paradigm. Offering a transnational and interdisciplinary perspective, Cultures of Copyright offers readers - scholars, researchers, practitioners, theorists, and others - key considerations to contemplate in terms of how we understand copyright's past and how we chart its futures.

Author: Michele Leonardo Bianchi
Publisher: World Scientific
ISBN: 9813276215
Category : Business & Economics
Languages : en
Pages : 598

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The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.

Author: Julio-César Mateus
Publisher: Routledge
ISBN: 0429534671
Category : Education
Languages : en
Pages : 278

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This book offers a systematic study of media education in Latin America. As spending on technological infrastructure in the region increases exponentially for educational purposes, and with national curriculums beginning to implement media related skills, this book makes a timely contribution to new debates surrounding the significance of media literacy as a citizen’s right. Taking both a topical and country-based approach, authors from across Latin America present a comprehensive perspective of the region and address issues such as the political and social contexts in which media education is based, the current state of educational policies with respect to media, organizations and experiences that promote media education.

Author: Andrey Itkin
Publisher: World Scientific
ISBN: 9811231753
Category : Business & Economics
Languages : en
Pages : 508

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This book describes several techniques, first invented in physics for solving problems of heat and mass transfer, and applies them to various problems of mathematical finance defined in domains with moving boundaries. These problems include: (a) semi-closed form pricing of options in the one-factor models with time-dependent barriers (Bachelier, Hull-White, CIR, CEV); (b) analyzing an interconnected banking system in the structural credit risk model with default contagion; (c) finding first hitting time density for a reducible diffusion process; (d) describing the exercise boundary of American options; (e) calculating default boundary for the structured default problem; (f) deriving a semi-closed form solution for optimal mean-reverting trading strategies; to mention but some.The main methods used in this book are generalized integral transforms and heat potentials. To find a semi-closed form solution, we need to solve a linear or nonlinear Volterra equation of the second kind and then represent the option price as a one-dimensional integral. Our analysis shows that these methods are computationally more efficient than the corresponding finite-difference methods for the backward or forward Kolmogorov PDEs (partial differential equations) while providing better accuracy and stability.We extend a large number of known results by either providing solutions on complementary or extended domains where the solution is not known yet or modifying these techniques and applying them to new types of equations, such as the Bessel process. The book contains several novel results broadly applicable in physics, mathematics, and engineering.

Author: Alexander Lipton
Publisher: World Scientific
ISBN: 9811221545
Category : Business & Economics
Languages : en
Pages : 481

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This textbook focuses on distributed ledger technology (DLT) and its potential impact on society at large. It aims to offer a detailed and self-contained introduction to the founding principles behind DLT accessible to a well-educated but not necessarily mathematically oriented audience. DLT allows solving many complicated problems arising in economics, banking, and finance, industry, trade, and other fields. However, to reap the ultimate benefits, one has to overcome some of its inherent limitations and use it judiciously. Not surprisingly, amid increasing applications of DLT, misconceptions are formed over its use. The book thoroughly dispels these misconceptions via an impartial assessment of the arguments rooted in scientific reasoning.Blockchain and Distributed Ledgers: Mathematics, Technology, and Economics offers a detailed and self-contained introduction to DLT, blockchains, and cryptocurrencies and seeks to equip the reader with an ability to participate in the crypto economy meaningfully.

Author: N. Thumim
Publisher: Springer
ISBN: 1137265132
Category : Social Science
Languages : en
Pages : 261

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Taking a close look at ordinary people 'telling their own story', Nancy Thumim explores self-representations in contemporary digital culture in settings as diverse as reality TV, online storytelling, and oral histories displayed in museums.