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| Author | : M. Looft |
| Publisher | : Springer |
| Total Pages | : 137 |
| Release | : 2014-10-02 |
| Genre | : Social Science |
| ISBN | : 1137450789 |
By tracing an arc of thought and action from both historical and religious figures up through modern microfinance practitioners, Looft illustrates the many ways religious inspiration continues to remain at the crux of international economic development–while raising compelling questions around God and Mammon working together to help the poor.
| Author | : Yuri Kabanov |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2016-08-23 |
| Genre | : Mathematics |
| ISBN | : 9783319350295 |
The present volume is dedicated to Marek Musiela, an eminent scholar and practitioner who is perhaps best-known for his important contributions to problems of derivative pricing, theory of term structure of interest rates, theory of defaultable securities and other topics in modern mathematical finance. It includes 25 research papers by 47 authors, established experts and newcomers alike, that cover the whole range of the "hot" topics in the discipline. The contributed articles not only give a clear picture about what is going on in this rapidly developing field of knowledge but provide methods ready for practical implementation. They also open new prospects for further studies in risk management, portfolio optimization and financial engineering.
| Author | : Chris Hogan |
| Publisher | : Ramsey Press |
| Total Pages | : 256 |
| Release | : 2016-01-12 |
| Genre | : Business & Economics |
| ISBN | : 1937077810 |
When you hear the word retirement, you probably don't imagine yourself scrambling to pay your bills in your golden years. But for too many Americans, that's the fate that awaits unless they take steps now to plan for the future. Whether you're twenty five and starting your first job or fifty five and watching the career clock start to wind down, today is the day to get serious about your retirement. In Retire Inspired, Chris Hogan teaches that retirement isn't an age; it's a financial number an amount you need to live the life in retirement that you've always dreamed of. With clear investing concepts and strategies, Chris will educate and empower you to make your own investing decisions, set reasonable expectations for your spouse and family, and build a dream team of experts to get you there. You don't have to retire broke, stressed, and working long after you want to. You can retire inspired!
| Author | : Yuri Kabanov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 553 |
| Release | : 2013-10-23 |
| Genre | : Mathematics |
| ISBN | : 3319020692 |
The present volume is dedicated to Marek Musiela, an eminent scholar and practitioner who is perhaps best-known for his important contributions to problems of derivative pricing, theory of term structure of interest rates, theory of defaultable securities and other topics in modern mathematical finance. It includes 25 research papers by 47 authors, established experts and newcomers alike, that cover the whole range of the "hot" topics in the discipline. The contributed articles not only give a clear picture about what is going on in this rapidly developing field of knowledge but provide methods ready for practical implementation. They also open new prospects for further studies in risk management, portfolio optimization and financial engineering.
| Author | : Anthony Brabazon |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 276 |
| Release | : 2006-03-28 |
| Genre | : Computers |
| ISBN | : 3540313079 |
Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies – neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part II brings the reader through the development of market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures. The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain.
| Author | : Bill Bachrach |
| Publisher | : |
| Total Pages | : 174 |
| Release | : 2000 |
| Genre | : Business & Economics |
| ISBN | : 9781887006033 |
Whether you're already well-to-do or just beginning to build a nest egg, this book will help you to make smart financial choices based on what's important to you ...
| Author | : Robert Netzly |
| Publisher | : |
| Total Pages | : 126 |
| Release | : 2018-10 |
| Genre | : Business & Economics |
| ISBN | : 9780692039670 |
Learn from best-selling author and CEO of Inspire Investing, Robert Netzly, how you can join the Biblically Responsible Investing movement, align your investments with biblical values and inspire transformation for God's glory on Wall Street and around the world.
| Author | : M. Looft |
| Publisher | : Springer |
| Total Pages | : 193 |
| Release | : 2014-10-02 |
| Genre | : Social Science |
| ISBN | : 1137450789 |
By tracing an arc of thought and action from both historical and religious figures up through modern microfinance practitioners, Looft illustrates the many ways religious inspiration continues to remain at the crux of international economic development–while raising compelling questions around God and Mammon working together to help the poor.
| Author | : Marty Cagan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 370 |
| Release | : 2017-11-17 |
| Genre | : Business & Economics |
| ISBN | : 111938754X |
How do today’s most successful tech companies—Amazon, Google, Facebook, Netflix, Tesla—design, develop, and deploy the products that have earned the love of literally billions of people around the world? Perhaps surprisingly, they do it very differently than the vast majority of tech companies. In INSPIRED, technology product management thought leader Marty Cagan provides readers with a master class in how to structure and staff a vibrant and successful product organization, and how to discover and deliver technology products that your customers will love—and that will work for your business. With sections on assembling the right people and skillsets, discovering the right product, embracing an effective yet lightweight process, and creating a strong product culture, readers can take the information they learn and immediately leverage it within their own organizations—dramatically improving their own product efforts. Whether you’re an early stage startup working to get to product/market fit, or a growth-stage company working to scale your product organization, or a large, long-established company trying to regain your ability to consistently deliver new value for your customers, INSPIRED will take you and your product organization to a new level of customer engagement, consistent innovation, and business success. Filled with the author’s own personal stories—and profiles of some of today’s most-successful product managers and technology-powered product companies, including Adobe, Apple, BBC, Google, Microsoft, and Netflix—INSPIRED will show you how to turn up the dial of your own product efforts, creating technology products your customers love. The first edition of INSPIRED, published ten years ago, established itself as the primary reference for technology product managers, and can be found on the shelves of nearly every successful technology product company worldwide. This thoroughly updated second edition shares the same objective of being the most valuable resource for technology product managers, yet it is completely new—sharing the latest practices and techniques of today’s most-successful tech product companies, and the men and women behind every great product.
| Author | : Matthew F. Dixon |
| Publisher | : Springer Nature |
| Total Pages | : 565 |
| Release | : 2020-07-01 |
| Genre | : Business & Economics |
| ISBN | : 3030410684 |
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.
