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FinTech For Dummies
Examine the depth and breadth of financial technology This comprehensive, hands-on guide is the go-to source for everything you need to confidently navigate the ever-changing scene of this booming industry. FinTech For Dummies will shed light on this rapidly changing landscape making it an invaluable source of information for anybody working in or interested in this space. This book provides insights, knowledge and guidance from industry experts Steve O’Hanlon and Susanne Chishti on the following: Gaining insight fastest growing market segment of the financial markets Learning the core decision making to effect a growth plan Securing knowledge of the fastest growing fintech companies in the world Navigating the fintech world The ingredients into building a FinTech company
Hedge Funds
"An excellent and comprehensive source of information on hedge funds! From a quantitative view Lhabitant has done it once again by meticulously looking at the important topics in the hedge fund industry. This book has a tremendous wealth of information and is a valuable addition to the hedge fund literature. In addition, it will benefit institutional investors, high net worth individuals, academics and anyone interested in learning more about this fascinating and often mysterious world of privately managed money. Written by one of the most respected practitioners and academics in the area of hedge funds." —Greg N. Gregoriou, Professor of finance and research coordinator in the School of Bu...
INNC 90 PARIS
Neural Networks have been the theater of a dramatic increase of activities in the last five years. The interest of mixing results from fields as different as neurobiology, physics (spin glass theory), mathematics (linear algebra, statistics ... ), computer science (software engineering, hardware architectures ... ) or psychology has attracted a large number of researchers to the field. The perspective of dramatic improvements in many applications has lead important companies to launch new neural network programs and start-ups have mushroomed to address this new market. Throughout the world large programs are being set-up: in Japan the government has committed more than $18 million per year t...
Marketing and Smart Technologies
This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2021), held at University of La Laguna, Tenerife, Spain, during December 2–4, 2021. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
Funds of Hedge Funds
With about $450 billion in assets, funds of hedge funds are the most recent darling of investors. While hedge funds carry high risk for the promise of high returns they are designed for the very rich and for large institutional investors such as pension funds. A Fund of Hedge Funds (FOF) spreads investments among a number of hedge funds to reduce risk and provide diversification, while maintaining the potential for higher than average returns. Odds are that some pension fund of yours is invested heavily in these products, and more recently these FOFs have been opened to more and more individual investors in offshore jurisdictions with lower minimum entry levels. Since this is a new and extre...
The LegalTech Book
Written by prominent thought leaders in the global fintech and legal space, The LegalTech Book aggregates diverse expertise into a single, informative volume. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · The current status of LegalTech, why now is the time for it to boom, the drivers behind it, and how it relates to FinTech, RegTech, InsurTech, WealthTech and PayTech · Applications of AI, machine learning and deep learning in the practice of law; e-discovery and due diligence; AI as a legal predictor · LegalTech making the law accessible to all; online courts,...
Neural Networks and the Financial Markets
This volume looks at financial prediction from a broad range of perspectives. It covers: - the economic arguments - the practicalities of the markets - how predictions are used - how predictions are made - how predictions are turned into something usable (asset locations) It combines a discussion of standard theory with state-of-the-art material on a wide range of information processing techniques as applied to cutting-edge financial problems. All the techniques are demonstrated with real examples using actual market data, and show that it is possible to extract information from very noisy, sparse data sets. Aimed primarily at researchers in financial prediction, time series analysis and information processing, this book will also be of interest to quantitative fund managers and other professionals involved in financial prediction.
INNC 90 Paris
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Algorithmic Learning in a Random World
This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the reliability of predictions. The prediction algorithms described — conformal predictors — are provably valid in the sense that they evaluate the reliability of their own predictions in a way that is neither over-pessimistic nor over-optimistic (the latter being especially dangerous). The approach is still flexible enough to incorporate most of the existing powerful methods of machine learning. The book covers both key conformal predictors and the mathematical analysis of their properties. Algor...
