Author: Logan C. Kane Publisher: Millionaire Trader ISBN: 9781520250366 Category : Business & Economics Languages : en Pages : 210
Book Description
Your 20 million dollars is already in the bank, it's just in someone else's bank right now! I wrote High Finance: The Secrets Wall Street Doesn't Want You to Know in late 2016. Since then, I have made sales not only in the United States and Canada, but also in 17 other countries, places like France, Germany, Hungary, South Korea, and China. The main theme of my book is that Wall Street beats retail investors through a series of small edges that add up to billions of dollars, much like the house edge at the casino. I show you where these edges are and how you can avoid them. When I published my book, everyone predicted that I would sell 100 copies or so, mostly to family and friends. They were wrong. Just like there are a lot of naysayers in publishing, there were a lot of naysayers who said I wouldn't make any money trading stocks. They were also wrong. I think you should raise your expectations. Have the courage to dream bigger, do bigger deals, and go take what you want. Whether you choose to steadily grow your capital through prudent, low cost investment or by grinding out profitable trade after profitable trade, you are capable of achieving your goals. There's a lot of ways to make money in the markets, and you are free to switch strategies whenever. There is no shortage of money in this world; the money just isn't equally distributed. Someone gets to live in every mansion and penthouse all over the world, and my question is, what if it could be you? Smart investing and trading can make you more money than you have ever dreamed; faster than you thought was possible. Trading options and stocks paid for my first car, paid for me to travel the world, and put a lot of extra cash in my pocket over the years. It can do the same for you. What you might be thinking: If I am so good at playing the markets, why am I writing a book about it? The truth is, a lot of people want to throw me money to trade for them, but I don't have the time or the inclination to deal with hundreds of clients. I genuinely enjoy helping people win in the markets, and making a passive 5 dollars a copy multiplied by the thousands of people I am able to help is a win-win. The Wall Street sharks have a constant supply of fish, and this book is only a drop in the ocean. Since you are reading though, you're on my team. Let me show you how the game works, what the rules are, how you can win. Inside: Examples of winning stock and option trades I made, and how you can replicate them. Why commissions and fees are the number one obstacle facing most investors and traders, and how you can drastically reduce them, regardless of your trading style. A simple secret that makes you a little more profit on every trade, by applying the power of negotiation to the stock market. How credit card lending became one of America's most profitable industries, and how investors can get a piece of the action through P2P lending. A trick to passively generate capital gains when investing in bonds. An introduction to the elegantly simple Kelly Criterion, originally used by professional gamblers. The Kelly Criterion helps you control risk when trading and maximize your average profit. How eastern philosophy can help you improve your trading game. Formulas for estimating stock and bond returns. A quick overview of asset protection strategies. Tax saving moves for investors at every income level, and much more. Logan C. Kane has helped countless people with his techniques and strategies, and he can help you too. No upselling, just priceless financial wisdom for the price of lunch. Pardon our clickbait title, and... Click on the cover to look inside!
Author: Clare McAndrew Publisher: John Wiley & Sons ISBN: 1576603334 Category : Business & Economics Languages : en Pages : 340
Book Description
Art and finance coalesce in the elite world of fine art collecting and investing. Investors and collectors can’t protect and profit from their collections without grappling with a range of complex issues like risk, insurance, restoration, and conservation. They require intimate knowledge not only of art but also of finance. Clare McAndrew and a highly qualified team of contributors explain the most difficult financial matters facing art investors. Key topics include: Appraisal and valuation Art as loan collateral Securitization and taxation Investing in art funds Insurance The black-market art trade Clare McAndrew has a PhD in economics and is the author of The Art Economy. She is considered a leading expert on the economics of art ownership.
Author: Ramazan Gençay Publisher: Elsevier ISBN: 008049904X Category : Business & Economics Languages : en Pages : 411
Book Description
Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data.This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.
Author: Frank J. Fabozzi Publisher: MIT Press ISBN: 0262336901 Category : Business & Economics Languages : en Pages : 449
Book Description
Financial aspects of launching and operating a high-tech company, including risk analysis, business models, U.S. securities law, financial accounting, tax issues, and stock options, explained accessibly. This book offers an accessible guide to the financial aspects of launching and operating a high-tech business in such areas as engineering, computing, and science. It explains a range of subjects—from risk analysis to stock incentive programs for founders and key employees—for students and aspiring entrepreneurs who have no prior training in finance or accounting. The book begins with the rigorous analysis any prospective entrepreneur should undertake before launching a business, covering risks associated with a new venture, the reasons startup companies fail, and the stages of financing. It goes on to discuss business models and their components, business plans, and exit planning; forms of business organization, and factors to consider in choosing one; equity allocation to founders and employees; applicable U.S. securities law; and sources of equity capital. The book describes principles of financial accounting, the four basic financial statements, and financial ratios useful in assessing management performance. It also explains financial planning and the use of budgets; profit planning; stock options and other option-type awards; methodologies for valuing a private company; economic assessment of a potential investment project; and the real options approach to risk and managerial flexibility. Appendixes offer case studies of Uber and of the valuation of Tentex.
Author: M. A. H. Dempster Publisher: CRC Press ISBN: 1315354691 Category : Computers Languages : en Pages : 648
Book Description
High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.
Author: Frederi G. Viens Publisher: John Wiley & Sons ISBN: 0470876883 Category : Business & Economics Languages : en Pages : 468
Book Description
CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading The handbook motivates practitioners to apply high-frequency finance to real-world situations by including exclusive topics such as risk measurement and management, UHF data, microstructure, dynamic multi-period optimization, mortgage data models, hybrid Monte Carlo, retirement, trading systems and forecasting, pricing, and boosting. The diverse topics and viewpoints presented in each chapter ensure that readers are supplied with a wide treatment of practical methods. Handbook of Modeling High-Frequency Data in Finance is an essential reference for academics and practitioners in finance, business, and econometrics who work with high-frequency data in their everyday work. It also serves as a supplement for risk management and high-frequency finance courses at the upper-undergraduate and graduate levels.
Author: Stephen J. Antczak Publisher: John Wiley & Sons ISBN: 0470528826 Category : Business & Economics Languages : en Pages : 371
Book Description
A timely guide to today’s high-yield corporate debt markets Leveraged Finance is a comprehensive guide to the instruments and markets that finance much of corporate America. Presented in five sections, this experienced author team covers topics ranging from the basics of bonds and loans to more advanced topics such as valuing CDs, default correlations among CLOs, and hedging strategies across corporate capital structures. Additional topics covered include basic corporate credit, relative value analysis, and various trading strategies used by investors, such as hedging credit risk with the equity derivatives of a different company. Stephen Antczak, Douglas Lucas, and Frank Fabozzi present readers with real-market examples of how investors can identify investment opportunities and how to express their views on the market or specific companies through trading strategies, and examine various underlying assets including loans, corporate bonds, and much more. They also offer readers an overview of synthetic and structured products such as CDS, LCDS, CDX, LCDX, and CLOs. Leveraged Finance has the information you need to succeed in this evolving financial arena.
Author: Ionut Florescu Publisher: John Wiley & Sons ISBN: 1118593324 Category : Business & Economics Languages : en Pages : 414
Book Description
Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a presentation of the dynamics and complexity of futures and derivatives markets as well as a portfolio optimization problem using quantum computers. Subsequently, the handbook addresses estimating complex model parameters using high-frequency data. Finally, the handbook focuses on the links between models used in financial markets and models used in other research areas such as geophysics, fossil records, and earthquake studies. The Handbook of High-Frequency Trading and Modeling in Finance also features: • Contributions by well-known experts within the academic, industrial, and regulatory fields • A well-structured outline on the various data analysis methodologies used to identify new trading opportunities • Newly emerging quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump processes for limit-order books and broader market indicators; and options markets • Practical applications using real-world data to help readers better understand the presented material The Handbook of High-Frequency Trading and Modeling in Finance is an excellent reference for professionals in the fields of business, applied statistics, econometrics, and financial engineering. The handbook is also a good supplement for graduate and MBA-level courses on quantitative finance, volatility, and financial econometrics. Ionut Florescu, PhD, is Research Associate Professor in Financial Engineering and Director of the Hanlon Financial Systems Laboratory at Stevens Institute of Technology. His research interests include stochastic volatility, stochastic partial differential equations, Monte Carlo Methods, and numerical methods for stochastic processes. Dr. Florescu is the author of Probability and Stochastic Processes, the coauthor of Handbook of Probability, and the coeditor of Handbook of Modeling High-Frequency Data in Finance, all published by Wiley. Maria C. Mariani, PhD, is Shigeko K. Chan Distinguished Professor in Mathematical Sciences and Chair of the Department of Mathematical Sciences at The University of Texas at El Paso. Her research interests include mathematical finance, applied mathematics, geophysics, nonlinear and stochastic partial differential equations and numerical methods. Dr. Mariani is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley. H. Eugene Stanley, PhD, is William Fairfield Warren Distinguished Professor at Boston University. Stanley is one of the key founders of the new interdisciplinary field of econophysics, and has an ISI Hirsch index H=128 based on more than 1200 papers. In 2004 he was elected to the National Academy of Sciences. Frederi G. Viens, PhD, is Professor of Statistics and Mathematics and Director of the Computational Finance Program at Purdue University. He holds more than two dozen local, regional, and national awards and he travels extensively on a world-wide basis to deliver lectures on his research interests, which range from quantitative finance to climate science and agricultural economics. A Fellow of the Institute of Mathematics Statistics, Dr. Viens is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley.
Author: Logan C. Kane
Author: Clare McAndrew
Author: Ramazan Gençay
Author: Frederick K. C. Price
Author: Frank J. Fabozzi
Author: M. A. H. Dempster
Author: Frederi G. Viens
Author: Stephen J. Antczak
Author: Frank Viscardi
Author: Ionut Florescu