Optimal Mean Reversion Trading
Optimal Mean Reversion Trading

Author: Tim Leung (Professor of industrial engineering)

Publisher: World Scientific

Published: 2015-11-26

Total Pages: 221

ISBN-13: 9814725927

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"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
Optimal Mean Reversion Trading: Mathematical Analysis And Practical Applications

Author: Tim Siu-tang Leung

Publisher: World Scientific

Published: 2015-11-26

Total Pages: 221

ISBN-13: 9814725935

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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
Optimal Mean Reversion Trading

Author: Tim Leung

Publisher:

Published: 2019

Total Pages: 1

ISBN-13:

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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.

Applied Quantitative Methods for Trading and Investment
Applied Quantitative Methods for Trading and Investment

Author: Christian L. Dunis

Publisher: John Wiley & Sons

Published: 2004-01-09

Total Pages: 426

ISBN-13: 0470871342

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This book provides a manual on quantitative financial analysis. Focusing on advanced methods for modelling financial markets in the context of practical financial applications, it will cover data, software and techniques that will enable the reader to implement and interpret quantitative methodologies, specifically for trading and investment. Includes contributions from an international team of academics and quantitative asset managers from Morgan Stanley, Barclays Global Investors, ABN AMRO and Credit Suisse First Boston. Fills the gap for a book on applied quantitative investment & trading models Provides details of how to combine various models to manage and trade a portfolio

Applied Probabilistic Calculus for Financial Engineering
Applied Probabilistic Calculus for Financial Engineering

Author: Bertram K. C. Chan

Publisher: John Wiley & Sons

Published: 2017-10-16

Total Pages: 532

ISBN-13: 1119387612

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Illustrates how R may be used successfully to solve problems in quantitative finance Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and multivariate data analysis. It examines probabilistic calculus for modeling financial engineering—walking the reader through building an effective financial model from the Geometric Brownian Motion (GBM) Model via probabilistic calculus, while also covering Ito Calculus. Classical mathematical models in financial engineering and modern portfolio theory are discussed—along with the Two Mutual Fund Theorem and The Sharpe Ratio. The book also looks at R as a calculator and using R in data analysis in financial engineering. Additionally, it covers asset allocation using R, financial risk modeling and portfolio optimization using R, global and local optimal values, locating functional maxima and minima, and portfolio optimization by performance analytics in CRAN. Covers optimization methodologies in probabilistic calculus for financial engineering Answers the question: What does a "Random Walk" Financial Theory look like? Covers the GBM Model and the Random Walk Model Examines modern theories of portfolio optimization, including The Markowitz Model of Modern Portfolio Theory (MPT), The Black-Litterman Model, and The Black-Scholes Option Pricing Model Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R s an ideal reference for professionals and students in economics, econometrics, and finance, as well as for financial investment quants and financial engineers.

Mathematical Modeling of Food Processing
Mathematical Modeling of Food Processing

Author: Mohammed M. Farid

Publisher: CRC Press

Published: 2010-05-21

Total Pages: 1275

ISBN-13: 1000611280

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Written by international experts from industry, research centers, and academia, Mathematical Modeling of Food Processing discusses the physical and mathematical analysis of transport phenomena associated with food processing. The models presented describe many of the important physical and biological transformations that occur in food during proces

Macro-Econophysics
Macro-Econophysics

Author: Hideaki Aoyama

Publisher: Cambridge University Press

Published: 2017-07-04

Total Pages: 438

ISBN-13: 1108225802

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The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.

Advances in Portfolio Construction and Implementation
Advances in Portfolio Construction and Implementation

Author: Alan Scowcroft

Publisher: Elsevier

Published: 2003-06-25

Total Pages: 384

ISBN-13: 0080471846

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Modern Portfolio Theory explores how risk averse investors construct portfolios in order to optimize market risk against expected returns. The theory quantifies the benefits of diversification.Modern Portfolio Theory provides a broad context for understanding the interactions of systematic risk and reward. It has profoundly shaped how institutional portfolios are managed, and has motivated the use of passive investment management techniques, and the mathematics of MPT is used extensively in financial risk management.Advances in Portfolio Construction and Implementation offers practical guidance in addition to the theory, and is therefore ideal for Risk Mangers, Actuaries, Investment Managers, and Consultants worldwide. Issues are covered from a global perspective and all the recent developments of financial risk management are presented. Although not designed as an academic text, it should be useful to graduate students in finance. *Provides practical guidance on financial risk management*Covers the latest developments in investment portfolio construction*Full coverage of the latest cutting edge research on measuring portfolio risk, alternatives to mean variance analysis, expected returns forecasting, the construction of global portfolios and hedge portfolios (funds)

Globalization of Management Education
Globalization of Management Education

Author: AACSB International

Publisher: Emerald Group Publishing

Published: 2011-02-09

Total Pages: 355

ISBN-13: 0857249428

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In this comprehensive report, the AACSB Task Force explores broad globalization trends in management education that command the attention of any individual or institution striving to navigate in today's environment.

Fibonacci and Gann Applications in Financial Markets
Fibonacci and Gann Applications in Financial Markets

Author: George MacLean

Publisher: John Wiley & Sons

Published: 2005-08-19

Total Pages: 240

ISBN-13: 0470016051

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There are many books covering Fibonacci from an artistic and historical point of view and almost as many suggesting that Fibonacci retracements and numbers can be successfully applied to financial market time series. What is missing is a book that addresses the common errors in using screen based Fibonacci (and Gann and other tools). The book is a critical exploration of Fibonacci numbers, retracements, projections, timeframes and fanlines and their current usage within the financial markets by technical analysts. Although they can be extremely effective analytical tools when used appropriately, mistakes in usage can be extremely costly from a financial and credibility viewpoint. George MacLean takes a brief look at the history of Fibonacci and Gann, before providing a full account of their applications in financial markets, including fixed income, equity, foreign exchange, commodities and indexes. In particular, he draws attention to the overuse and misuse of easily applied computer packages available to professional and amateur traders.