Das Buch vermittelt dem Leser nach einer Einleitung (Kapitel 1) zunächst einen systematischen Überblick zu den aktuell existierenden Anlageklassen (Kapitel 2). Darauf aufbauend geht der Verfasser auf die Subjekte ein (Kapitel 3). Die Zusammenführung von Anlageobjekten und Subjekten führt zum Preis bzw. Wert eines Anlageobjektes (Kapitel 4). Zielgruppe des vorliegenden Buchs sind zunächst Studierende der Betriebswirtschaftslehre oder anderer Disziplinen, die sich mit Fragen der Kapitalanlage beschäftigen. Aber auch Anlageberater und andere Praktiker kommen als Leser in Frage.

This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas. In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures. This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.

This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.

This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.

This book comprises refereed papers from the 10th World Congress on Engineering Asset Management (WCEAM 2015), held in Tampere, Finland in September 2015. These proceedings include a compilation of state-of-the-art papers covering a comprehensive range of subjects equally relevant to business managers and engineering professionals alike. With a focus on various aspects of engineering asset management ranging from strategic level issues to detail-level machine health issues, these papers address both industry and public sector concerns and issues, as well as advanced academic research. Proceedings of the WCEAM 2015 is an excellent reference and resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students at tertiary institutions or in the industry.

Private wealth management (PWM) involves the management of the assets of high net worth individuals (HNWI) or accredited investors. Private wealth management firms have established close working relationships with high net worth clients to understand their financial needs and help them build investment portfolios that can meet their clients' financial goals. They offer a range of services, including portfolio management, real estate planning, mortgage planning, asset protection, tax management, and other financial services. Private wealth management services are provided by large corporations, independent financial advisers and portfolio managers who specialize in working with high net worth private clients.

In 1999, the Consumer Federation of America (CFA) initiated widespread media coverage of the credit card problem among college students, provoking a strong social reaction.

Private wealth management (PWM) involves the management of the assets of high net worth individuals (HNWI) or accredited investors. Private wealth management firms have established close working relationships with high net worth clients to understand their financial needs and help them build investment portfolios that can meet their clients' financial goals.

Here is a list of the top investors and wealth management companies: Betterment, Vanguard, Moneyfarm, Robinhood, Advizr, Nutmeg, Wealthfront, Habito, Hydrogen, Sigfig and more. We'll share how these great companies are positioning themselves for success as we move to the new normal.

We have summarized several common types of credit card fraud and preventive measures for your reference and reference.

As you get older, you don't have to leave your youthful beauty behind. With the guidance of a professional, board-certified plastic surgeon, you can counteract the effects of time and gravity, restore the natural vibrant appearance you remember from years ago, and even tackle the early signs of aging before they form. Here's more information about facelift surgery.

Cardholders must know how to protect themselves against different types of fraud.

Many college students rely on debit cards, mobile payments or cash.

U.S. Representative Slaughter introduced the College Student Credit Card Protection Act in 1999 and 2001.

​When the first time we applying for a credit card, we may feel a little nervous. Because there is always a frustrating possibility that it will not be approved. Here is a step by step guide on how to get an approved credit card. With this guidlines you can increase your chances of success.