Transaction Costs and Efficiency of Portfolio Strategies PDF Download

Author: Antoon Pelsser
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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Author: Aswath Damodaran
Publisher: FT Press
ISBN: 9780131403123
Category : Business & Economics
Languages : en
Pages : 584

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One of the world's leading investment researchers runs the numbers on some of today's most widely touted strategies, objectively answering the questions brokers cannot answer and presents exactly what works and what doesn't.

Author: Scott D. Stewart
Publisher: John Wiley & Sons
ISBN: 111939743X
Category : Business & Economics
Languages : en
Pages : 785

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Book Description
A career’s worth of portfolio management knowledge in one thorough, efficient guide Portfolio Management is an authoritative guide for those who wish to manage money professionally. This invaluable resource presents effective portfolio management practices supported by their underlying theory, providing the tools and instruction required to meet investor objectives and deliver superior performance. Highlighting a practitioner’s view of portfolio management, this guide offers real-world perspective on investment processes, portfolio decision making, and the business of managing money for real clients. Real world examples and detailed test cases—supported by sophisticated Excel templates and true client situations—illustrate real investment scenarios and provide insight into the factors separating success from failure. The book is an ideal textbook for courses in advanced investments, portfolio management or applied capital markets finance. It is also a useful tool for practitioners who seek hands-on learning of advanced portfolio techniques. Managing other people’s money is a challenging and ever-evolving business. Investment professionals must keep pace with the current market environment to effectively manage their client’s assets while students require a foundation built on the most relevant, up-to-date information and techniques. This invaluable resource allows readers to: Learn and apply advanced multi-period portfolio methods to all major asset classes. Design, test, and implement investment processes. Win and keep client mandates. Grasp the theoretical foundations of major investment tools Teaching and learning aids include: Easy-to-use Excel templates with immediately accessible tools. Accessible PowerPoint slides, sample exam and quiz questions and sample syllabi Video lectures Proliferation of mathematics in economics, growing sophistication of investors, and rising competition in the industry requires advanced training of investment professionals. Portfolio Management provides expert guidance to this increasingly complex field, covering the important advancements in theory and intricacies of practice.

Author: Jan Palczewski
Publisher:
ISBN:
Category :
Languages : en
Pages : 38

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We present an efficient numerical method to determine optimal portfolio strategies under time- and state-dependent drift and proportional transaction costs. This scenario arises when investors have behavioral biases or the actual drift is unknown and needs to be estimated. The numerical method solves dynamic optimal portfolio problems for time-horizons of up to 40 years. It is applied to measure the value of information and the loss from transaction costs using the indifference principle.

Author: Raj Sau
Publisher:
ISBN: 9781267768278
Category :
Languages : en
Pages : 98

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In this thesis we study the performance of a re-balanced portfolio strategy relative to the market portfolio in the presence of transaction costs. The strategy involves re-balancing to fixed weights at regular time steps. We consider an equity market with m Stocks. Our goal is to compare the asymptotic growth rate of such strategies to the market. With the application of an Ergodic theorem, we show that the problem can be transformed to computing the expectation of a functional of the market weightsof the stocks. Expressing the gain in the re-balanced portfolio over the market portfolio as a functional of the market weights, we derive the condition under which the growth rate of the rebalanced strategy beats that of the market portfolio. We also show a method to compute the maximum transaction cost that can be paid in order for the rebalanced portfolio to beat the market portfolio. We discuss the result in the context of the Volatility-Stabilized model and the Geometric Brownian Motion model. In the secondpart of the thesis, we define the optimal re-balancing portfolio that maximizes the growth rate within the class of such fixed weight re-balancing strategies. We study the relationship of the optimum portfolio and optimal growth rate to the re-balancing time step and transaction cost coefficient. Finally, we look at the performance of such re-balancing strategies on real data sets obtained from Yahoo Finance. The study indicates that for small trading time steps, the re-balancing strategy under performs compared to the market in the presence of transaction costs.

Author: Frank J. Fabozzi
Publisher: John Wiley & Sons
ISBN: 0470262478
Category : Business & Economics
Languages : en
Pages : 528

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Book Description
A comprehensive look at the tools and techniques used in quantitative equity management Some books attempt to extend portfolio theory, but the real issue today relates to the practical implementation of the theory introduced by Harry Markowitz and others who followed. The purpose of this book is to close the implementation gap by presenting state-of-the art quantitative techniques and strategies for managing equity portfolios. Throughout these pages, Frank Fabozzi, Sergio Focardi, and Petter Kolm address the essential elements of this discipline, including financial model building, financial engineering, static and dynamic factor models, asset allocation, portfolio models, transaction costs, trading strategies, and much more. They also provide ample illustrations and thorough discussions of implementation issues facing those in the investment management business and include the necessary background material in probability, statistics, and econometrics to make the book self-contained. Written by a solid author team who has extensive financial experience in this area Presents state-of-the art quantitative strategies for managing equity portfolios Focuses on the implementation of quantitative equity asset management Outlines effective analysis, optimization methods, and risk models In today's financial environment, you have to have the skills to analyze, optimize and manage the risk of your quantitative equity investments. This guide offers you the best information available to achieve this goal.

Author: Bin Li
Publisher: CRC Press
ISBN: 1482249642
Category : Business & Economics
Languages : en
Pages : 227

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Book Description
With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision task Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the art Investigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment. Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.

Author: CFA Institute
Publisher: John Wiley & Sons
ISBN: 1119743710
Category : Business & Economics
Languages : en
Pages : 1328

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Book Description
Portfolio Management in Practice, Volume 1: Investment Management delivers a comprehensive overview of investment management for students and industry professionals. As the first volume in the CFA Institute’s new Portfolio Management in Practice series, Investment Management offers professionals looking to enhance their skillsets and students building foundational knowledge an essential understanding of key investment management concepts. Designed to be an accessible resource for a wide range of learners, this volume explores the full portfolio management process. Inside, readers will find detailed coverage of: Forming capital market expectations Principles of the asset allocation process Determining investment strategies within each asset class Integrating considerations specific to high net worth individuals or institutions into chosen strategies And more To apply the concepts outlined in the Investment Management volume, explore the accompanying Portfolio Management in Practice, Volume 1: Investment Management Workbook. The perfect companion resource, this workbook aligns chapter-by-chapter with Investment Management for easy referencing so readers can draw connections between theoretical content and challenging practice problems. Featuring contributions from the CFA Institute’s subject matter experts, Portfolio Management in Practice, Volume 1: Investment Management distills the knowledge forward-thinking professionals will need to succeed in today’s fast-paced financial world.

Author: Robert Kissell
Publisher: Academic Press
ISBN: 0124016936
Category : Business & Economics
Languages : en
Pages : 492

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Book Description
The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. Helps readers design systems to manage algorithmic risk and dark pool uncertainty. Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.

Author: CFA Institute
Publisher: John Wiley & Sons
ISBN: 1119789311
Category : Business & Economics
Languages : en
Pages : 128

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Book Description
The Equity Portfolio Management Workbook provides learners with real-world problems based on key concepts explored in Portfolio Management in Practice, Volume 3: Equity Portfolio Management. Part of the reputable CFA Institute Investment Series, the workbook is designed to further students’ and professionals’ hands-on experience with a variety of Learning Outcomes, Summary Overview sections, and challenging exercises and solutions. Created with modern perspective, the workbook presents the necessary tools for understanding equity portfolio management and applying it in the workplace. This essential companion resource mirrors the main text, making it easy for readers to follow. Inside, users will find information and exercises about: The difference between passive and active equity strategies Market efficiency underpinnings of passive equity strategies Active equity strategies and constructing portfolios to reflect active strategies Technical analysis as an additional consideration in executing active equity strategies While the Equity Portfolio Management volume and its companion workbook can be used in conjunction with the other volumes in the series, the pair also functions well as a standalone focus on equity investing. With each contributor bringing his own unique experiences and perspectives to the portfolio management process, the Equity Portfolio Management Workbook distills the knowledge, skills, and abilities readers need to succeed in today’s fast-paced financial world.