Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk

Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk PDF Author: Gary Antonacci
Publisher: McGraw Hill Professional
ISBN: 0071849459
Category : Business & Economics
Languages : en
Pages : 238

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Book Description
The investing strategy that famously generates higher returns with substantially reduced risk--presented by the investor who invented it "A treasure of well researched momentum-driven investing processes." Gregory L. Morris, Chief Technical Analyst and Chairman, Investment Committee of Stadion Money Management, LLC, and author of Investing with the Trend Dual Momentum Investing details the author’s own momentum investing method that combines U.S. stock, world stock, and aggregate bond indices--a formula proven to dramatically increase profits while lowering risk. Antonacci reveals how momentum investors could have achieved long-run returns nearly twice as high as the stock market over the past 40 years, while avoiding or minimizing bear market losses--and he provides the information and insight investors need to achieve such success going forward. His methodology is designed to pick up on major changes in relative strength and market trend. Gary Antonacci has over 30 years experience as an investment professional focusing on under exploited investment opportunities. In 1990, he founded Portfolio Management Consultants, which advises private and institutional investors on asset allocation, portfolio optimization, and advanced momentum strategies. He writes and runs the popular blog and website optimalmomentum.com. Antonacci earned his MBA at Harvard.

Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk

Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk PDF Author: Gary Antonacci
Publisher: McGraw Hill Professional
ISBN: 0071849459
Category : Business & Economics
Languages : en
Pages : 238

Get Book Here

Book Description
The investing strategy that famously generates higher returns with substantially reduced risk--presented by the investor who invented it "A treasure of well researched momentum-driven investing processes." Gregory L. Morris, Chief Technical Analyst and Chairman, Investment Committee of Stadion Money Management, LLC, and author of Investing with the Trend Dual Momentum Investing details the author’s own momentum investing method that combines U.S. stock, world stock, and aggregate bond indices--a formula proven to dramatically increase profits while lowering risk. Antonacci reveals how momentum investors could have achieved long-run returns nearly twice as high as the stock market over the past 40 years, while avoiding or minimizing bear market losses--and he provides the information and insight investors need to achieve such success going forward. His methodology is designed to pick up on major changes in relative strength and market trend. Gary Antonacci has over 30 years experience as an investment professional focusing on under exploited investment opportunities. In 1990, he founded Portfolio Management Consultants, which advises private and institutional investors on asset allocation, portfolio optimization, and advanced momentum strategies. He writes and runs the popular blog and website optimalmomentum.com. Antonacci earned his MBA at Harvard.

Theory and Methodology of Tactical Asset Allocation

Theory and Methodology of Tactical Asset Allocation PDF Author: Wai Lee
Publisher: John Wiley & Sons
ISBN: 9781883249724
Category : Business & Economics
Languages : en
Pages : 168

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Book Description
Asset allocation has long been viewed as a safe bet for reducing risk in a portfolio. Asset allocators strive to buy when prices are low and sell when prices rise. Tactical asset allocation (TAA) practitioners tend to emphasize shorter-term adjustments, reducing exposure when recent market performance has been good, and increasing exposure in a slipping market (in contrast to dynamic asset allocation, or portfolio insurance). As interest in this technique continues to grow, J.P. Morgan's Wai Lee provides comprehensive coverage of the analytical tools needed to successfully implement and monitor tactical asset allocation.

Big Data and Machine Learning in Quantitative Investment

Big Data and Machine Learning in Quantitative Investment PDF Author: Tony Guida
Publisher: John Wiley & Sons
ISBN: 1119522196
Category : Business & Economics
Languages : en
Pages : 308

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Book Description
Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.

Global Asset Allocation

Global Asset Allocation PDF Author: MR Mebane T Faber
Publisher: Mebane Faber
ISBN: 9780988679924
Category :
Languages : en
Pages : 132

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Book Description
With all of our focus on assets - and how much and when to allocate them - are we missing the bigger picture? Our book begins by reviewing the historical performance record of popular assets like stocks, bonds, and cash. We look at the impact inflation has on our money. We then start to examine how diversification through combining assets, in this case a simple stock and bond mix, works to mitigate the extreme drawdowns of risky asset classes. But we go beyond a limited stock/bond portfolio to consider a more global allocation that also takes into account real assets. We track 13 assets and their returns since 1973, with particular attention to a number of well-known portfolios, like Ray Dalio's All Weather portfolio, the Endowment portfolio, Warren Buffett's suggestion, and others. And what we find is that, with a few notable exceptions, many of the allocations have similar exposures. And yet, while we are all busy paying close attention to our portfolio's particular allocation of assets, the greatest impact on our portfolios may be something we fail to notice altogether...

Adaptive Asset Allocation

Adaptive Asset Allocation PDF Author: Adam Butler
Publisher: John Wiley & Sons
ISBN: 1119220378
Category : Business & Economics
Languages : en
Pages : 209

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Book Description
Build an agile, responsive portfolio with a new approach to global asset allocation Adaptive Asset Allocation is a no-nonsense how-to guide for dynamic portfolio management. Written by the team behind Gestaltu.com, this book walks you through a uniquely objective and unbiased investment philosophy and provides clear guidelines for execution. From foundational concepts and timing to forecasting and portfolio optimization, this book shares insightful perspective on portfolio adaptation that can improve any investment strategy. Accessible explanations of both classical and contemporary research support the methodologies presented, bolstered by the authors' own capstone case study showing the direct impact of this approach on the individual investor. Financial advisors are competing in an increasingly commoditized environment, with the added burden of two substantial bear markets in the last 15 years. This book presents a framework that addresses the major challenges both advisors and investors face, emphasizing the importance of an agile, globally-diversified portfolio. Drill down to the most important concepts in wealth management Optimize portfolio performance with careful timing of savings and withdrawals Forecast returns 80% more accurately than assuming long-term averages Adopt an investment framework for stability, growth, and maximum income An optimized portfolio must be structured in a way that allows quick response to changes in asset class risks and relationships, and the flexibility to continually adapt to market changes. To execute such an ambitious strategy, it is essential to have a strong grasp of foundational wealth management concepts, a reliable system of forecasting, and a clear understanding of the merits of individual investment methods. Adaptive Asset Allocation provides critical background information alongside a streamlined framework for improving portfolio performance.

Applied Financial Macroeconomics and Investment Strategy

Applied Financial Macroeconomics and Investment Strategy PDF Author: Robert T. McGee
Publisher: Springer
ISBN: 113740180X
Category : Business & Economics
Languages : en
Pages : 265

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Book Description
The absolute and relative performance of various asset classes is systematically related to macroeconomic trends. In this new book, Robert McGee provides a thorough guide to each stage of the business cycle and analyzes the investment implications using real-world examples linking economic dynamics to investment results.

The Ivy Portfolio

The Ivy Portfolio PDF Author: Mebane T. Faber
Publisher: John Wiley and Sons
ISBN: 0470442808
Category : Business & Economics
Languages : en
Pages : 243

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Book Description
A do-it-yourself guide to investing like the renowned Harvard and Yale endowments. The Ivy Portfolio shows step-by-step how to track and mimic the investment strategies of the highly successful Harvard and Yale endowments. Using the endowment Policy Portfolios as a guide, the authors illustrate how an investor can develop a strategic asset allocation using an ETF-based investment approach. The Ivy Portfolio also reveals a novel method for investors to reduce their risk through a tactical asset allocation strategy to protect them from bear markets. The book will also showcase a method to follow the smart money and piggyback the top hedge funds and their stock-picking abilities. With readable, straightforward advice, The Ivy Portfolio will show investors exactly how this can be accomplished—and allow them to achieve an unparalleled level of investment success in the process. With all of the uncertainty in the markets today, The Ivy Portfolio helps the reader answer the most often asked question in investing today - "What do I do"?

Machine Learning for Asset Management

Machine Learning for Asset Management PDF Author: Emmanuel Jurczenko
Publisher: John Wiley & Sons
ISBN: 1786305445
Category : Business & Economics
Languages : en
Pages : 460

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Book Description
This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.

Modern Asset Allocation for Wealth Management

Modern Asset Allocation for Wealth Management PDF Author: David M. Berns
Publisher: John Wiley & Sons
ISBN: 1119566940
Category : Business & Economics
Languages : en
Pages : 144

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Book Description
An authoritative resource for the wealth management industry that bridges the gap between modern perspectives on asset allocation and practical implementation An advanced yet practical dive into the world of asset allocation, Modern Asset Allocation for Wealth Management provides the knowledge financial advisors and their robo-advisor counterparts need to reclaim ownership of the asset allocation component of their fiduciary responsibility. Wealth management practitioners are commonly taught the traditional mean-variance approach in CFA and similar curricula, a method with increasingly limited applicability given the evolution of investment products and our understanding of real-world client preferences. Additionally, financial advisors and researchers typically receive little to no training on how to implement a robust asset allocation framework, a conceptually simple yet practically very challenging task. This timely book offers professional wealth managers and researchers an up-to-date and implementable toolset for managing client portfolios. The information presented in this book far exceeds the basic models and heuristics most commonly used today, presenting advances in asset allocation that have been isolated to academic and institutional portfolio management settings until now, while simultaneously providing a clear framework that advisors can immediately deploy. This rigorous manuscript covers all aspects of creating client portfolios: setting client risk preferences, deciding which assets to include in the portfolio mix, forecasting future asset performance, and running an optimization to set a final allocation. An important resource for all wealth management fiduciaries, this book enables readers to: Implement a rigorous yet streamlined asset allocation framework that they can stand behind with conviction Deploy both neo-classical and behavioral elements of client preferences to more accurately establish a client risk profile Incorporate client financial goals into the asset allocation process systematically and precisely with a simple balance sheet model Create a systematic framework for justifying which assets should be included in client portfolios Build capital market assumptions from historical data via a statistically sound and intuitive process Run optimization methods that respect complex client preferences and real-world asset characteristics Modern Asset Allocation for Wealth Management is ideal for practicing financial advisors and researchers in both traditional and robo-advisor settings, as well as advanced undergraduate and graduate courses on asset allocation.

Quantitative Portfolio Optimisation, Asset Allocation and Risk Management

Quantitative Portfolio Optimisation, Asset Allocation and Risk Management PDF Author: M. Rasmussen
Publisher: Springer
ISBN: 0230512852
Category : Business & Economics
Languages : en
Pages : 453

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Book Description
Targeted towards institutional asset managers in general and chief investment officers, portfolio managers and risk managers in particular, this practical book serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an accessible yet rigorous approach to investment management, it gradually introduces ever more advanced quantitative tools for these areas. Using extensive examples, this book guides the reader from basic return and risk analysis, all the way through to portfolio optimization and risk characterization, and finally on to fully fledged quantitative asset allocation and risk management. It employs such tools as enhanced modern portfolio theory using Monte Carlo simulation and advanced return distribution analysis, analysis of marginal contributions to absolute and active portfolio risk, Value-at-Risk and Extreme Value Theory. All this is performed within the same conceptual, theoretical and empirical framework, providing a self-contained, comprehensive reading experience with a strongly practical aim.