No catches, no fine print just unadulterated book loving, with your favourite books saved to your own digital bookshelf.
New members get entered into our monthly draw to win £100 to spend in your local bookshop Plus lots lots more…Find out more
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!
Everything you need to pass Level III of the CMT Program CMT Level III 2020: The Integration of Technical Analysis fully prepares you to demonstrate competency integrating basic concepts in Level I with practical applications in Level II, by using critical analysis to arrive at well-supported, ethical investing and trading recommendations. Covered topics include: asset relationships, portfolio management, behavioral finance, volatility, and analysis. The Level III exam emphasizes risk management concepts as well as classical methods of technical analysis. This cornerstone guidebook of the Chartered Market Technician (R) Program will provide every advantage to passing Level III CMT Exam.
Published in 1997, this volume examines why foreign investment restrictions put in place during the 1950s and 1960s have been largely removed in recent years. Illustrations from ten countries are used to demonstrate the liberalizing movement, and the author analyzes the differences among sectors with regard to rationales and changes in rationales suggesting why many societies have chosen to retain certain restrictions even with the general liberalization. On this basis recommendations are presented in the book with regard to alternative mechanisms for achieving the original national objectives.
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.
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.
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.
China is currently one of the most important players in the global investment scene. However, with the rapid growth of overseas investment, there is also sharp increase of the investment risks. Their country-risk rating system constructs five indicators, including economic fundamentals, ability to service debt, social flexibility, political risk and the relation with China, to provide warning and reference for Chinese enterprises and sovereign wealth funds. This year's rating system expands to fifty-seven countries, which makes their system more comprehensive. China carries on risk rating for thirty-five One Belt One Road economies to enhance the reference value for policymakers. China's outbound direct investment hit a new high in 2016, reaching $196.15 billion, making the country the world's second-largest overseas investor. The volume of its outbound direct investment increased by 34.7% year-on- year in 2016 and accounted for 13.5% of the world's total -the first time it exceeded 10%. Since 2003, when the Ministry of Commerce joined hands with the National Bureau of Statistics and the State Administration of Foreign Exchange to start releasing authoritative investment data annually, China's outbound direct investment has kept increasing for 14 consecutive years. From 2002 to 2016, the annual average growth of its outbound direct investment reached 35.8%. In 2016, China's outbound direct investment once again exceeded the foreign direct investment it received, making it a net capital exporter for two consecutive years. Meanwhile, its outbound direct investment stock hit $1.35739 trillion at the end of 2016, China had the most overseas M&A deals in history in terms of both number and value of M&A deals. In the future, China is expected to bring out more of its investment potentials and build a win-win cooperative relationship with other countries following its economic transition and upgrading, rising competitiveness of Chinese enterprises in overseas markets and steady advancement of the Belt and Road initiative.
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.
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.
Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques, 2nd Edition focuses on trading strategies and methods, including new insights on the evolution of financial markets, pre-trade models and post-trade analysis, liquidation cost and risk analysis required for regulatory reporting, and compliance and regulatory reporting requirements. Highlighting new investment styles, it adds new material on best execution processes for investors and brokers, including model validation, quality and assurance, limit order model testing, and smart order model testing. Using basic programming tools, such as Excel, MATLAB, and Python, this book provides a process to create TCA low cost exchange traded funds.