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See below for a selection of the latest books from Investment & securities category. Presented with a red border are the Investment & securities books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Investment & securities books and those from many more genres to read that will keep you inspired and entertained. And it's all free!
Gain a full understanding of today's most important investment topics from the perspective of an individual financial planner with Mayo's INVESTMENTS: AN INTRODUCTION, 13E. This inviting approach introduces the process of investing and the many alternatives available for constructing a strong investment portfolio. You master the investing fundamentals needed for success on the CFP (R) exam while developing more advanced investing skills. You learn to manage your assets as an active portfolio manager or simply as an informed investor. This edition highlights how to make solid investment decisions with an overview of today's most pertinent investment opportunities and challenges. Updates highlight the latest changes in taxation and investment planning prompted by the 2018 Tax Cuts and Jobs Act (TCJA). An ongoing Financial Advisor's Investment Case and expanded coverage of stock valuation ratios, stock repurchases, and dividend payments emphasize how to apply what you've learned to daily decisions.
Are you an investor facing an obstacle you don't know how to overcome? Are you ready to invest, but not sure how to reduce your risks? There are two important things you must do to be a savvy investor: make good investment decisions and avoid costly mistakes. As important as good investments are, one bad mistake can ruin the result of all your good decisions. In the second book in The H. Kent Baker Investments Series, investing experts H. Kent Baker, John R. Nofsinger, and Vesa Puttonen offer an insightful guide on avoiding those detrimental missteps. The Savvy Investor's Guide to Avoiding Pitfalls, Frauds and Scams explores the common pitfalls that investors face. Highlighting important issues when investing especially in common stocks and mutual funds, they explore the psychological biases of investors that can cause you to be your own worst enemy. Finally, they look at frauds and scams, and how to protect yourself from dishonest people wanting to profit at your expense. If you feel unprepared to face the risks of investing, Baker, Nofsinger, and Puttonen provide this essential guide to arming yourself against devastation on your path to becoming a savvy investor.
In the current scope of economics, the management of client portfolios has become a considerable problem within financial institutions due to the amount of risk that goes into assigning assets. Various algorithmic models exist for solving these portfolio challenges; however, considerable research is lacking that further explains these design problems and provides applicable solutions to these imperative issues. Algorithms for Solving Financial Portfolio Design Problems: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of various programming models within the financial engineering field. While highlighting topics such as landscape analysis, breaking symmetries, and linear programming, this publication analyzes the quadratic constraints of current portfolios and provides algorithmic solutions to maximizing the full value of these financial sets. This book is ideally designed for financial strategists, engineers, programmers, mathematicians, banking professionals, researchers, academicians, and students seeking current research on recent mathematical advances within financial engineering.
This book identifies and discusses the most successful investing practices with an emphasis on the academic articles that produced them and why this research led to popular adoption and growth in $AUM. Investors are bombarded with ideas and prescriptions for successful investing every day. Given the steady stream of information on stock tips, sector timing, asset allocation, etc., how do investors decide? How do they judge the quality and reliability of the investment advice they are given on a day-to-day basis? This book identifies which academic articles turned investment ideas were the most innovative and influential in the practice of investment management. Each article is discussed in terms of the asset management process: strategy, portfolio construction, portfolio implementation, and risk management. Some examples of topics covered are factor investing, the extreme growth of trading instruments like Exchange Traded Funds, multi-asset investing, socially responsible investing, big data, and artificial intelligence. This book analyzes a curated selection of peer-reviewed academic articles identified among those published by the scientific investment community. The book briefly describes each of the articles, how and why each one changed the way we think about investing in that specific asset class, and provides insights as to the nuts and bolts of how to take full advantage of this successful investment idea. It is as timely as it is informative and will help each investor to focus on the most successful strategies, ideas, and implementation that provide the basis for the efficient accumulation and management of wealth.
Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence. - Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term Artificial Intelligence, especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author's two decades of professional experience as a technologist, quant and academic.
This book offers a comprehensive discussion of how green finance has been growing thus far and explores the opportunities and key developments ahead, with particular emphasis on Europe. The main features of the market, the key products, the issue of correctly defining green finance, the main policy actions undertaken, the risk of green washing and the necessary steps to mainstream green finance are discussed in depth. In addition, the book analyses some highly relevant aspects of the market that so far have not been sufficiently explored in the policy, industry and academic debate. This includes the potential role of digitalisation and blockchain in fostering green finance, the crucial role of the effective financing of the agriculture to reach climate and environmental targets and the possible relationship between sustainable finance and other forms of alternative finance. This book will be of interest to academics, practitioners, financial institutions and policy makers involved in green finance and to the finance industry in general.
The new edition of the definitive reference to trading systems--expanded and thoroughly updated. Professional and individual traders haverelied on Trading Systems and Methods for over three decades. Acclaimed trading systems expert Perry Kaufman provides complete, authoritative information on proven indicators, programs, systems, and algorithms. Now in its sixth edition, this respected book continues to provide readers with the knowledge required to develop or select the trading programs best suited for their needs. In-depth discussions of basic mathematical and statistical concepts instruct readers on how much data to use, how to create an index, how to determine probabilities, and how best to test your ideas. These technical tools and indicators help readers identify trends, momentum, and patterns, while an analytical framework enables comparisons of systematic methods and techniques. This updated, fully-revised edition offers new examples using stocks, ETFs and futures, and provides expanded coverage of arbitrage, high frequency trading, and sophisticated risk management models. More programs and strategies have been added, such as Artificial Intelligence techniques and Game Theory approaches to trading. Offering a complete array of practical, user-ready tools, this invaluable resource: Offers comprehensive revisions and additional mathematical and statistical tools, trading systems, and examples of current market situations Explains basic mathematical and statistical concepts with accompanying code Includes new Excel spreadsheets with genetic algorithms, TradeStation code, MetaStock code, and more Provides access to a companion website packed with supplemental materials Trading Systems and Methods is an indispensable reference on trading systems, as well as system design and methods for professional and individual active traders, money managers, trading systems developers.
Foundations of Investment Management: Mastering Financial Markets, Asset Classes, and Investment Strategies shows how to navigate today's world of complex financial instruments, investment opportunities, and devastating pitfalls. This reader-friendly guide details stocks, bonds, and alternative investments, who invests in these asset classes, how, and why. It uses real-world examples in addition to citing the latest academic research. Additionally, seven industry experts have co-authored select chapters to greatly expand the depth and utility of this book for the reader. This unique guide is perfect for financial analysts, portfolio managers, client-facing representatives, product specialists, and anybody early in their finance career who wishes to understand how clients, products, and investors relate and interact. Foundations of Investment Management provides a complete overview of the investment management industry; defines key terms and participants; identifies investment vehicles, strategies, and asset classes; and analyzes each strategy focusing on its relative utility and potential inclusion in a well-diversified portfolio. Despite the subject mater's complexity, each topic is distilled in a way that is highly relatable and intuitive, ensuring the reader knows how to better manage their investments or interact with clients. Lastly, every chapter closes with a summary and investment implications to maximize the information presented. Key Features: Defines various fund structures, discusses the growth of the mutual fund industry, explains the benefits and disadvantages of comingled vehicles and details other investment options including fund of funds, annuities, and separately managed accounts Presents detailed descriptions of different institutional investors; elaborates on their investment considerations, objectives, and reaction functions; and concludes with implications for an institutions propensity to respond similarly to market developments Supplies tools and techniques to construct and optimize a fixed income portfolio Reviews the history of the Bank of England and U.S. Federal Reserve and describes central bank objectives, tools, and reaction functions Illustrates the difference between investing and speculating by introducing different valuation methods and approaches to developing an investment thesis Examines the growth of high frequency trading and identifies rebalancing strategies Identifies different stock investment approaches as well as introduces several equity valuation methods Describes mean variance optimization and conviction-based portfolio construction approaches Reviews bond basics including bond income, interest rate sensitivity, and sources of risk such as credit and liquidity Examines the history of real assets, defines each real asset, details the drivers of their return, and explains how an investor may gain exposure to each asset through the utilization of financial instruments or investment vehicles Presents the theory behind and history of factors and factor investing from both an academic and practitioner perspective. Presents the development of our understanding of behavioral biases, explains how these biases impact investment decisions, and provides tips and techniques to avoid their pitfalls
Grow your wealth and invest with confidence and know-how using this simple, ten-question framework from investing guru and podcast host David Stein You understand the basics of investing. Now it's time to invest like a professional for greater profits. Money for the Rest of Us offers a ten-question template that helps you decide which asset classes and investment vehicles you should pursue in greater depth in order to improve investment performance and avoid costly mistakes. Providing a templated framework based on ten basic questions, it guides you through the process of: *Determining expected return*Understanding the difference between investing, speculating, and gambling*Building a diversified portfolio without getting bogged down in the minutiae of Modern Portfolio Theory*Deciding when to invest in ETFs or other investment vehicles*Determining whether gold, cryptocurrencies, rental real estate, or other types of investments make sense*And much more