Optimal Mean Reversion Trading Mathematical Analysis And Practical Applications
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Optimal Mean Reversion Trading
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Author : Tim Leung (Professor of industrial engineering)
language : en
Publisher: World Scientific
Release Date : 2015-11-26
Optimal Mean Reversion Trading written by Tim Leung (Professor of industrial engineering) and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-26 with Business & Economics categories.
"Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications provides a systematic study to the practical problem of optimal trading in the presence of mean-reverting price dynamics. It is self-contained and organized in its presentation, and provides rigorous mathematical analysis as well as computational methods for trading ETFs, options, futures on commodities or volatility indices, and credit risk derivatives. This book offers a unique financial engineering approach that combines novel analytical methodologies and applications to a wide array of real-world examples. It extracts the mathematical problems from various trading approaches and scenarios, but also addresses the practical aspects of trading problems, such as model estimation, risk premium, risk constraints, and transaction costs. The explanations in the book are detailed enough to capture the interest of the curious student or researcher, and complete enough to give the necessary background material for further exploration into the subject and related literature. This book will be a useful tool for anyone interested in financial engineering, particularly algorithmic trading and commodity trading, and would like to understand the mathematically optimal strategies in different market environments."--
Optimal Mean Reversion Trading Mathematical Analysis And Practical Applications
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Author : Tim Siu-tang Leung
language : en
Publisher: World Scientific
Release Date : 2015-11-26
Optimal Mean Reversion Trading Mathematical Analysis And Practical Applications written by Tim Siu-tang Leung and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-26 with Business & Economics categories.
Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications provides a systematic study to the practical problem of optimal trading in the presence of mean-reverting price dynamics. It is self-contained and organized in its presentation, and provides rigorous mathematical analysis as well as computational methods for trading ETFs, options, futures on commodities or volatility indices, and credit risk derivatives.This book offers a unique financial engineering approach that combines novel analytical methodologies and applications to a wide array of real-world examples. It extracts the mathematical problems from various trading approaches and scenarios, but also addresses the practical aspects of trading problems, such as model estimation, risk premium, risk constraints, and transaction costs. The explanations in the book are detailed enough to capture the interest of the curious student or researcher, and complete enough to give the necessary background material for further exploration into the subject and related literature.This book will be a useful tool for anyone interested in financial engineering, particularly algorithmic trading and commodity trading, and would like to understand the mathematically optimal strategies in different market environments.
Optimal Mean Reversion Trading
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Author : Tim Leung
language : en
Publisher:
Release Date : 2019
Optimal Mean Reversion Trading written by Tim Leung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
This book provides a systematic study on the optimal timing of trades in markets with mean-reverting price dynamics. We present a financial engineering approach that distills the core mathematical questions from different trading problems, and also incorporates the practical aspects of trading, such as model estimation, risk premia, risk constraints, and transaction costs, into our analysis. Self-contained and organized, the book not only discusses the mathematical framework and analytical results for the financial problems, but also gives formulas and numerical tools for practical implementation. A wide array of real-world applications are discussed, such as pairs trading of exchange-traded funds, dynamic portfolio of futures on commodities or volatility indices, and liquidation of options or credit risk derivatives.A core element of our mathematical approach is the theory of optimal stopping. For a number of the trading problems discussed herein, the optimal strategies are represented by the solutions to the corresponding optimal single/multiple stopping problems. This also leads to the analytical and numerical studies of the associated variational inequalities or free boundary problems. We provide an overview of our methodology and chapter outlines in the Introduction.Our objective is to design the book so that it can be useful for doctoral and masters students, advanced undergraduates, and researchers in financial engineering/mathematics, especially those who specialize in algorithmic trading, or have interest in trading exchange-traded funds, commodities, volatility, and credit risk, and related derivatives. For practitioners, we provide formulas for instant strategy implementation, propose new trading strategies with mathematical justification, as well as quantitative enhancement for some existing heuristic trading strategies.
Online Portfolio Selection
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Author : Bin Li
language : en
Publisher:
Release Date : 2023-12-31
Online Portfolio Selection written by Bin Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-31 with Business & Economics categories.
This book investigates the OLPS problem. The authors unveil four innovative algorithms based on the cutting edge machine learning techniques and also detail a powerful trading simulation tools. The book includes MATLAB(R) code for simulation trading systems that use historical data to evaluate the performance of trading strategies.
Energy Trading And Risk Management
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Author : Iris Marie Mack
language : en
Publisher: John Wiley & Sons
Release Date : 2014-04-07
Energy Trading And Risk Management written by Iris Marie Mack and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-07 with Business & Economics categories.
A comprehensive overview of trading and risk management in the energy markets Energy Trading and Risk Management provides a comprehensive overview of global energy markets from one of the foremost authorities on energy derivatives and quantitative finance. With an approachable writing style, Iris Mack breaks down the three primary applications for energy derivatives markets – Risk Management, Speculation, and Investment Portfolio Diversification – in a way that hedge fund traders, consultants, and energy market participants can apply in their day to day trading activities. Moving from the fundamentals of energy markets through simple and complex derivatives trading, hedging strategies, and industry-specific case studies, Dr. Mack walks readers through energy trading and risk management concepts at an instructive pace, supporting her explanations with real-world examples, illustrations, charts, and precise definitions of important and often-misunderstood terms. From stochastic pricing models for exotic derivatives, to modern portfolio theory (MPT), energy portfolio management (EPM), to case studies dealing specifically with risk management challenges unique to wind and hydro-electric power, the bookguides readers through the complex world of energy trading and risk management to help investors, executives, and energy professionals ensure profitability and optimal risk mitigation in every market climate. Energy Trading and Risk Management is a great resource to help grapple with the very interesting but oftentimes complex issues that arise in energy trading and risk management.
Actuarial Science
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Author : Hanji Shang
language : en
Publisher: World Scientific
Release Date : 2006
Actuarial Science written by Hanji Shang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Mathematics categories.
Since actuarial education was introduced into China in the 1980s, Chinese scholars have paid greater attention to the theoretical research of actuarial science. Professors and industry experts from well-known universities in China recently worked together on the project ?Insurance Information Processing and Actuarial Mathematics Theory and Methodology?, which was supported by the Chinese government. Summarizing what they achieved, this volume provides a study of some basic problems of actuarial science, including risk models, risk evaluation and analysis, and premium principles. The contributions cover some new applications of probability and statistics, fuzzy mathematics and financial economics to the field of actuarial practices. Discussions on the new insurance market in China are also presented.
Mathematical Modeling And Computation In Finance With Exercises And Python And Matlab Computer Codes
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Author : Cornelis W Oosterlee
language : en
Publisher: World Scientific
Release Date : 2019-10-29
Mathematical Modeling And Computation In Finance With Exercises And Python And Matlab Computer Codes written by Cornelis W Oosterlee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-29 with Business & Economics categories.
This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.
151 Trading Strategies
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Author : Zura Kakushadze
language : en
Publisher: Palgrave Macmillan
Release Date : 2018-12-29
151 Trading Strategies written by Zura Kakushadze and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-29 with Business & Economics categories.
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
Practical Methods Of Financial Engineering And Risk Management
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Author : Rupak Chatterjee
language : en
Publisher: Apress
Release Date : 2014-09-26
Practical Methods Of Financial Engineering And Risk Management written by Rupak Chatterjee and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-26 with Business & Economics categories.
Risk control, capital allocation, and realistic derivative pricing and hedging are critical concerns for major financial institutions and individual traders alike. Events from the collapse of Lehman Brothers to the Greek sovereign debt crisis demonstrate the urgent and abiding need for statistical tools adequate to measure and anticipate the amplitude of potential swings in the financial markets—from ordinary stock price and interest rate moves, to defaults, to those increasingly frequent "rare events" fashionably called black swan events. Yet many on Wall Street continue to rely on standard models based on artificially simplified assumptions that can lead to systematic (and sometimes catastrophic) underestimation of real risks. In Practical Methods of Financial Engineering and Risk Management, Dr. Rupak Chatterjee— former director of the multi-asset quantitative research group at Citi—introduces finance professionals and advanced students to the latest concepts, tools, valuation techniques, and analytic measures being deployed by the more discerning and responsive Wall Street practitioners, on all operational scales from day trading to institutional strategy, to model and analyze more faithfully the real behavior and risk exposure of financial markets in the cold light of the post-2008 realities. Until one masters this modern skill set, one cannot allocate risk capital properly, price and hedge derivative securities realistically, or risk-manage positions from the multiple perspectives of market risk, credit risk, counterparty risk, and systemic risk. The book assumes a working knowledge of calculus, statistics, and Excel, but it teaches techniques from statistical analysis, probability, and stochastic processes sufficient to enable the reader to calibrate probability distributions and create the simulations that are used on Wall Street to valuate various financial instruments correctly, model the risk dimensions of trading strategies, and perform the numerically intensive analysis of risk measures required by various regulatory agencies.