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| Author | : Karen Berman |
| Publisher | : Harvard Business Review Press |
| Total Pages | : 304 |
| Release | : 2013-02-19 |
| Genre | : Business & Economics |
| ISBN | : 1422144119 |
Explains what business numbers mean and why they matter, and addresses issues that have become more important in recent years, including questions about the financial crisis and accounting literacy.
| Author | : Doug Lennick |
| Publisher | : |
| Total Pages | : 163 |
| Release | : 2010-01-01 |
| Genre | : Finance, Personal |
| ISBN | : 9780979877537 |
It's part of the human condition: we struggle to keep our emotions from interfering with logical decisions about money. In this book, Doug Lennick provides a simple and clear four-step method for making wise financial and life decisions based on your core values.
| Author | : Karen Berman |
| Publisher | : Harvard Business Press |
| Total Pages | : 254 |
| Release | : 2008 |
| Genre | : Business & Economics |
| ISBN | : 1422119130 |
As an HR manager, you're expected to use financial data to make decisions, allocate resources, and budget expenses. But if you're like many human resource practitioners, you may feel uncertain or uncomfortable incorporating financial numbers into your day-to-day work. In Financial Intelligence for HR Professionals, Karen Berman and Joe Knight tailor the groundbreaking work they introduced in their book Financial Intelligence: A Manager's Guide to Knowing What the Numbers Really Mean to present the essentials of finance specifically for HR experts. Drawing on their work training tens of thousands of managers and employees at leading organizations worldwide, Berman and Knight provide you with a deep understanding of the basics of financial management and measurement, along with hands-on activities to practice what you are reading. You'll discover: · Why the assumptions behind financial data matter · What your company's income statement, balance sheet, and cash flow statement really reveal · How to use ratios to assess your company's financial health · How to calculate return on investment · Ways to use financial information to support your business units and do your own job better · How to instill financial intelligence throughout your team Authoritative and accessible, this book empowers you to "talk numbers" confidently with your boss, colleagues, and direct reports--and with the finance department. About the Author Karen Berman and Joe Knight founded the Business Literacy Institute. They train managers at some of America's biggest and best-known companies. John Case has written or collaborated on several successful books. He has also written for Inc., Harvard Business Review, and other business publications.
| Author | : Yves Hilpisch |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 478 |
| Release | : 2020-10-14 |
| Genre | : Business & Economics |
| ISBN | : 1492055387 |
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
| Author | : Henry a. Daas Jr |
| Publisher | : |
| Total Pages | : 430 |
| Release | : 2019-10-07 |
| Genre | : Business & Economics |
| ISBN | : 9781733287821 |
The genesis of this tome dates back a few years. I detected a lack of financial savvy amongst younger folk. Granted, I didn't perform exhaustive research. I studied and asked probative questions of any youngin' who would tolerate me. The results were eye-opening and confirmed my suspicions.In this book, the reader will travel through every life stage from birth to death, exploring the myriad touch points affecting their financial life. My goals are multifold - to create not so much an instruction manual but a compendium of best practices for managing your personal finances. I share my own experiences from almost six decades on planet Earth hoping my trials and tribulations provide a deeper understanding. And maybe a good laugh. Sort of like a money memoir if such a creature exists. My number one goal, though, is to make it all fun, enlightening and most of all useful.
| Author | : Ajay Agrawal |
| Publisher | : University of Chicago Press |
| Total Pages | : 172 |
| Release | : 2024-03-05 |
| Genre | : Business & Economics |
| ISBN | : 0226833127 |
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
| Author | : Doug Lennick |
| Publisher | : John Wiley & Sons |
| Total Pages | : 167 |
| Release | : 2017-10-23 |
| Genre | : Business & Economics |
| ISBN | : 111943078X |
Smart financial decisions boost more than your bottom line—they'll make you healthier and happier too! Are you one of the 90% of people who are stressed about money? If so, you know it can take its toll on every part of your life. Financial health, physical health and happiness are profoundly interconnected. It's almost impossible to enjoy any one of these without the help of the other two. The authors describe this phenomenon as the intersection of money, health, and happiness. Leveraging Your Financial Intelligence will teach you a powerful values-based approach to achieving your most important life goals. As you take steps to improve your financial well-being, you'll discover that leveraging your financial intelligence will also fuel your physical and emotional well-being. Backed by the latest research findings in neuroscience, psychology, health, and cultural anthropology, the authors' invaluable advice focuses on the practical actions you can take to improve not just your finances, but your overall life satisfaction. You'll be inspired by meeting people from all walks of life who have leveraged their financial intelligence to build financial security, promote fitness and health, and increase their daily sense of happiness. Proven recommendations from the authors' work with countless clients, along with worksheets, self-assessments, and other tools will help you apply the book's concepts to enhance your own financial, physical and emotional health. Use the strategies presented in this book to leverage your financial intelligence in a way that's tailored to your individual circumstances and allows you to create your own extraordinary intersection of money, health, and happiness.
| Author | : Steven J. Leon |
| Publisher | : FT Press |
| Total Pages | : 359 |
| Release | : 2015-11-17 |
| Genre | : Business & Economics |
| ISBN | : 0133838641 |
Discover how your supply chain and operations work impacts financial performance, and how to align your efforts to help your company succeed — the fastest, best way to supercharge your own career! As a supply chain or operations professional, you may clearly understand your operational performance goals. But if you want to get promoted, you need to know how your day-to-day work powerfully impacts the financial metrics your top executives care about most.
| Author | : Christian L. Dunis |
| Publisher | : Springer |
| Total Pages | : 349 |
| Release | : 2016-11-21 |
| Genre | : Business & Economics |
| ISBN | : 1137488808 |
As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.
| Author | : Thomas Barrau |
| Publisher | : Springer Nature |
| Total Pages | : 182 |
| Release | : 2022-05-31 |
| Genre | : Mathematics |
| ISBN | : 3030973190 |
This book introduces the novel artificial intelligence technique of polymodels and applies it to the prediction of stock returns. The idea of polymodels is to describe a system by its sensitivities to an environment, and to monitor it, imitating what a natural brain does spontaneously. In practice this involves running a collection of non-linear univariate models. This very powerful standalone technique has several advantages over traditional multivariate regressions. With its easy to interpret results, this method provides an ideal preliminary step towards the traditional neural network approach. The first two chapters compare the technique with other regression alternatives and introduces an estimation method which regularizes a polynomial regression using cross-validation. The rest of the book applies these ideas to financial markets. Certain equity return components are predicted using polymodels in very different ways, and a genetic algorithm is described which combines these different predictions into a single portfolio, aiming to optimize the portfolio returns net of transaction costs. Addressed to investors at all levels of experience this book will also be of interest to both seasoned and non-seasoned statisticians.
