Author: Robert Silverberg
Publisher: Open Road Media
ISBN: 1497632412
Category : Fiction
Languages : en
Pages : 124
Book Description
Hugo and Nebula Award Finalist: This tale of an encounter between a probability expert and a psychic is “a treasure” (San Francisco Examiner). Lew Nichols can predict the future. Not see the future, just make predictions based on research and statistics. Nichols is damn good at it, though, and his accuracy makes him a valuable addition to Paul Quinn’s political campaign for New York City Mayor and possibly the White House. But, when Nichols meets eccentric millionaire Martin Carvajal, predictions suddenly seem petty and flippant. You see, Carvajal can actually see the future—not trends, not options—a signal line of events stretching out ahead. It’s a gift Nichols can learn from this “mentor,” but at what price? Will knowing the future make the present meaningless?
The Stochastic Man
Author: Robert Silverberg
Publisher: Open Road Media
ISBN: 1497632412
Category : Fiction
Languages : en
Pages : 124
Book Description
Hugo and Nebula Award Finalist: This tale of an encounter between a probability expert and a psychic is “a treasure” (San Francisco Examiner). Lew Nichols can predict the future. Not see the future, just make predictions based on research and statistics. Nichols is damn good at it, though, and his accuracy makes him a valuable addition to Paul Quinn’s political campaign for New York City Mayor and possibly the White House. But, when Nichols meets eccentric millionaire Martin Carvajal, predictions suddenly seem petty and flippant. You see, Carvajal can actually see the future—not trends, not options—a signal line of events stretching out ahead. It’s a gift Nichols can learn from this “mentor,” but at what price? Will knowing the future make the present meaningless?
Publisher: Open Road Media
ISBN: 1497632412
Category : Fiction
Languages : en
Pages : 124
Book Description
Hugo and Nebula Award Finalist: This tale of an encounter between a probability expert and a psychic is “a treasure” (San Francisco Examiner). Lew Nichols can predict the future. Not see the future, just make predictions based on research and statistics. Nichols is damn good at it, though, and his accuracy makes him a valuable addition to Paul Quinn’s political campaign for New York City Mayor and possibly the White House. But, when Nichols meets eccentric millionaire Martin Carvajal, predictions suddenly seem petty and flippant. You see, Carvajal can actually see the future—not trends, not options—a signal line of events stretching out ahead. It’s a gift Nichols can learn from this “mentor,” but at what price? Will knowing the future make the present meaningless?
Strange Gifts
Author: Robert Silverberg
Publisher:
ISBN:
Category : Fiction
Languages : en
Pages : 200
Book Description
Each story preceded by 1-2 paragraphs of commentary.
Publisher:
ISBN:
Category : Fiction
Languages : en
Pages : 200
Book Description
Each story preceded by 1-2 paragraphs of commentary.
Hawksbill Station
Author: Robert Silverberg
Publisher: Hachette UK
ISBN: 0575106123
Category : Fiction
Languages : en
Pages : 127
Book Description
In the mid-21st century, time travel is used to send political prisoners to Hawksbill Station, a prison camp in the late Cambrian Era. When the latest arrival suspiciously deflects questions about his crimes and knowledge of 'Up Front', the inmates decide to find out his secret. First published in 1968
Publisher: Hachette UK
ISBN: 0575106123
Category : Fiction
Languages : en
Pages : 127
Book Description
In the mid-21st century, time travel is used to send political prisoners to Hawksbill Station, a prison camp in the late Cambrian Era. When the latest arrival suspiciously deflects questions about his crimes and knowledge of 'Up Front', the inmates decide to find out his secret. First published in 1968
Introduction to Stochastic Calculus with Applications
Author: Fima C. Klebaner
Publisher: Imperial College Press
ISBN: 1860945554
Category : Mathematics
Languages : en
Pages : 431
Book Description
This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.Self-contained and unified in presentation, the book contains many solved examples and exercises. It may be used as a textbook by advanced undergraduates and graduate students in stochastic calculus and financial mathematics. It is also suitable for practitioners who wish to gain an understanding or working knowledge of the subject. For mathematicians, this book could be a first text on stochastic calculus; it is good companion to more advanced texts by a way of examples and exercises. For people from other fields, it provides a way to gain a working knowledge of stochastic calculus. It shows all readers the applications of stochastic calculus methods and takes readers to the technical level required in research and sophisticated modelling.This second edition contains a new chapter on bonds, interest rates and their options. New materials include more worked out examples in all chapters, best estimators, more results on change of time, change of measure, random measures, new results on exotic options, FX options, stochastic and implied volatility, models of the age-dependent branching process and the stochastic Lotka-Volterra model in biology, non-linear filtering in engineering and five new figures.Instructors can obtain slides of the text from the author.
Publisher: Imperial College Press
ISBN: 1860945554
Category : Mathematics
Languages : en
Pages : 431
Book Description
This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.Self-contained and unified in presentation, the book contains many solved examples and exercises. It may be used as a textbook by advanced undergraduates and graduate students in stochastic calculus and financial mathematics. It is also suitable for practitioners who wish to gain an understanding or working knowledge of the subject. For mathematicians, this book could be a first text on stochastic calculus; it is good companion to more advanced texts by a way of examples and exercises. For people from other fields, it provides a way to gain a working knowledge of stochastic calculus. It shows all readers the applications of stochastic calculus methods and takes readers to the technical level required in research and sophisticated modelling.This second edition contains a new chapter on bonds, interest rates and their options. New materials include more worked out examples in all chapters, best estimators, more results on change of time, change of measure, random measures, new results on exotic options, FX options, stochastic and implied volatility, models of the age-dependent branching process and the stochastic Lotka-Volterra model in biology, non-linear filtering in engineering and five new figures.Instructors can obtain slides of the text from the author.
Stochastic Differential Equations and Applications
Author: Avner Friedman
Publisher: Academic Press
ISBN: 1483217876
Category : Mathematics
Languages : en
Pages : 248
Book Description
Stochastic Differential Equations and Applications, Volume 1 covers the development of the basic theory of stochastic differential equation systems. This volume is divided into nine chapters. Chapters 1 to 5 deal with the basic theory of stochastic differential equations, including discussions of the Markov processes, Brownian motion, and the stochastic integral. Chapter 6 examines the connections between solutions of partial differential equations and stochastic differential equations, while Chapter 7 describes the Girsanov's formula that is useful in the stochastic control theory. Chapters 8 and 9 evaluate the behavior of sample paths of the solution of a stochastic differential system, as time increases to infinity. This book is intended primarily for undergraduate and graduate mathematics students.
Publisher: Academic Press
ISBN: 1483217876
Category : Mathematics
Languages : en
Pages : 248
Book Description
Stochastic Differential Equations and Applications, Volume 1 covers the development of the basic theory of stochastic differential equation systems. This volume is divided into nine chapters. Chapters 1 to 5 deal with the basic theory of stochastic differential equations, including discussions of the Markov processes, Brownian motion, and the stochastic integral. Chapter 6 examines the connections between solutions of partial differential equations and stochastic differential equations, while Chapter 7 describes the Girsanov's formula that is useful in the stochastic control theory. Chapters 8 and 9 evaluate the behavior of sample paths of the solution of a stochastic differential system, as time increases to infinity. This book is intended primarily for undergraduate and graduate mathematics students.
The Man Who Solved the Market
Author: Gregory Zuckerman
Publisher: Penguin
ISBN: 0735217998
Category : Business & Economics
Languages : en
Pages : 401
Book Description
NEW YORK TIMES BESTSELLER Shortlisted for the Financial Times/McKinsey Business Book of the Year Award The unbelievable story of a secretive mathematician who pioneered the era of the algorithm--and made $23 billion doing it. Jim Simons is the greatest money maker in modern financial history. No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth twenty-three billion dollars. Drawing on unprecedented access to Simons and dozens of current and former employees, Zuckerman, a veteran Wall Street Journal investigative reporter, tells the gripping story of how a world-class mathematician and former code breaker mastered the market. Simons pioneered a data-driven, algorithmic approach that's sweeping the world. As Renaissance became a market force, its executives began influencing the world beyond finance. Simons became a major figure in scientific research, education, and liberal politics. Senior executive Robert Mercer is more responsible than anyone else for the Trump presidency, placing Steve Bannon in the campaign and funding Trump's victorious 2016 effort. Mercer also impacted the campaign behind Brexit. The Man Who Solved the Market is a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm and his country. It's also a story of what Simons's revolution means for the rest of us.
Publisher: Penguin
ISBN: 0735217998
Category : Business & Economics
Languages : en
Pages : 401
Book Description
NEW YORK TIMES BESTSELLER Shortlisted for the Financial Times/McKinsey Business Book of the Year Award The unbelievable story of a secretive mathematician who pioneered the era of the algorithm--and made $23 billion doing it. Jim Simons is the greatest money maker in modern financial history. No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth twenty-three billion dollars. Drawing on unprecedented access to Simons and dozens of current and former employees, Zuckerman, a veteran Wall Street Journal investigative reporter, tells the gripping story of how a world-class mathematician and former code breaker mastered the market. Simons pioneered a data-driven, algorithmic approach that's sweeping the world. As Renaissance became a market force, its executives began influencing the world beyond finance. Simons became a major figure in scientific research, education, and liberal politics. Senior executive Robert Mercer is more responsible than anyone else for the Trump presidency, placing Steve Bannon in the campaign and funding Trump's victorious 2016 effort. Mercer also impacted the campaign behind Brexit. The Man Who Solved the Market is a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm and his country. It's also a story of what Simons's revolution means for the rest of us.
Stochastic Calculus and Applications
Author: Samuel N. Cohen
Publisher: Birkhäuser
ISBN: 1493928678
Category : Mathematics
Languages : en
Pages : 673
Book Description
Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and stochastic integrals as used by systems theorists, electronic engineers and, more recently, those working in quantitative and mathematical finance. Building upon the original release of this title, this text will be of great interest to research mathematicians and graduate students working in those fields, as well as quants in the finance industry. New features of this edition include: End of chapter exercises; New chapters on basic measure theory and Backward SDEs; Reworked proofs, examples and explanatory material; Increased focus on motivating the mathematics; Extensive topical index. "Such a self-contained and complete exposition of stochastic calculus and applications fills an existing gap in the literature. The book can be recommended for first-year graduate studies. It will be useful for all who intend to work with stochastic calculus as well as with its applications."–Zentralblatt (from review of the First Edition)
Publisher: Birkhäuser
ISBN: 1493928678
Category : Mathematics
Languages : en
Pages : 673
Book Description
Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and stochastic integrals as used by systems theorists, electronic engineers and, more recently, those working in quantitative and mathematical finance. Building upon the original release of this title, this text will be of great interest to research mathematicians and graduate students working in those fields, as well as quants in the finance industry. New features of this edition include: End of chapter exercises; New chapters on basic measure theory and Backward SDEs; Reworked proofs, examples and explanatory material; Increased focus on motivating the mathematics; Extensive topical index. "Such a self-contained and complete exposition of stochastic calculus and applications fills an existing gap in the literature. The book can be recommended for first-year graduate studies. It will be useful for all who intend to work with stochastic calculus as well as with its applications."–Zentralblatt (from review of the First Edition)
Option Theory with Stochastic Analysis
Author: Fred Espen Benth
Publisher: Springer Science & Business Media
ISBN: 3642187862
Category : Business & Economics
Languages : en
Pages : 172
Book Description
This is a very basic and accessible introduction to option pricing, invoking a minimum of stochastic analysis and requiring only basic mathematical skills. It covers the theory essential to the statistical modeling of stocks, pricing of derivatives with martingale theory, and computational finance including both finite-difference and Monte Carlo methods.
Publisher: Springer Science & Business Media
ISBN: 3642187862
Category : Business & Economics
Languages : en
Pages : 172
Book Description
This is a very basic and accessible introduction to option pricing, invoking a minimum of stochastic analysis and requiring only basic mathematical skills. It covers the theory essential to the statistical modeling of stocks, pricing of derivatives with martingale theory, and computational finance including both finite-difference and Monte Carlo methods.
Stochastic Modelling of Electricity and Related Markets
Author: Fred Espen Benth
Publisher: World Scientific
ISBN: 981281230X
Category : Business & Economics
Languages : en
Pages : 352
Book Description
The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives.This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein?Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice.
Publisher: World Scientific
ISBN: 981281230X
Category : Business & Economics
Languages : en
Pages : 352
Book Description
The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives.This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein?Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice.
Numerical Solution of Stochastic Differential Equations
Author: Peter E. Kloeden
Publisher: Springer Science & Business Media
ISBN: 3662126168
Category : Mathematics
Languages : en
Pages : 666
Book Description
The numerical analysis of stochastic differential equations (SDEs) differs significantly from that of ordinary differential equations. This book provides an easily accessible introduction to SDEs, their applications and the numerical methods to solve such equations. From the reviews: "The authors draw upon their own research and experiences in obviously many disciplines... considerable time has obviously been spent writing this in the simplest language possible." --ZAMP
Publisher: Springer Science & Business Media
ISBN: 3662126168
Category : Mathematics
Languages : en
Pages : 666
Book Description
The numerical analysis of stochastic differential equations (SDEs) differs significantly from that of ordinary differential equations. This book provides an easily accessible introduction to SDEs, their applications and the numerical methods to solve such equations. From the reviews: "The authors draw upon their own research and experiences in obviously many disciplines... considerable time has obviously been spent writing this in the simplest language possible." --ZAMP