الصفحة 1
الصفحة 1
Modern asset allocation for wealth management
This book provides a complete taxonomy of modern methods for constructing investment portfolios. It goes beyond the simplest models and heuristics that are commonly used today and brings advances that are otherwise buried in Ph.D.-level mathematics to the financial advisor community. It covers all aspects of creating client portfolios, including choosing asset classes to invest in, selecting securities within asset classes, client risk preference assessment, portfolio construction, and portfolio rebalancing.
Exchange traded funds : Structure, regulation and application of a new fund class
The organization of traditional mutual funds as Exchange Traded Funds (ETFs) produced revolutionary changes in the fund industry. These changes, and the subsequent events to which they led, have greatly - creased the practical way of trading funds. Traditional mutual fund m- kets were fragmented, and transactions were both costly and from time to time difficult to arrange. Investments in emerging markets for example were anything but efficient. As a consequence of establishing ETF funds market segments, the efficiency of transactions has been broadly increased as well as transaction costs dramatically reduced. All this changed in the early Nineties with the introduction of the first ETF for the purpose of trading funds. Exchange Traded Funds – Structure, Regulation and Application of a New Fund Class is a comprehensive summary of articles covering all aspects of the Exchange Traded Fund industry.The present book is divided into four parts: The opening part, containing ETFs – A Leading Financial Innovation and From Continent to Sectors: Challenges and Uses of ETFs in Europe, is - signed to give the reader broad insight into the industry, developments and trends. Further, the article Spiders: Where Are the Bugs? examine the characteristics and performance of these instruments from an academic point of view.
Dynamic Asset Allocation with Forwards and Futures
DYNAMIC ASSET ALLOCATION WITH FORWARD AND FUTURES is an advanced text on the theory of forward and futures markets which aims at providing readers with a comprehensive knowledge of how prices are established and evolve over time, what optimal strategies one can expect from the participants, what characterizes such markets, and what major theoretical and practical differences distinguish futures from forward contracts. The book proposes an approach of these markets from the perspective of dynamic asset allocation and asset pricing theory within an inter-temporal framework. The main ingredients that are used are the assumed absence of frictions and arbitrage opportunities in financial and real markets, the uniqueness of the economic general equilibrium, when such an equilibrium is required and the tools of continuous time finance, namely martingale theory and stochastic dynamic programming. The scope of DYNAMIC ASSET ALLOCATION WITH FORWARD AND FUTURES is essentially theoretical, with emphasis on economic meaning and financial interpretation. Regarding investment and/or hedging, focus is on optimal strategies rather than on actual practice. Simulations, however, are performed when important insights can be delivered as to the practical relevance of some theoretical results. Also, optimal strategies using futures are shown to differ markedly from those using forwards. The following issues are examined: pure hedging, investment and hedging in complete or incomplete markets, currency risk, optimal spreading, presence of stochastic dividend or convenience yields, pricing of non-redundant futures or forwards by means of general equilibrium analysis, and revisiting of existing Capital Asset Pricing Models.
Asset allocation and private markets : A guide to investing with private equity, private debt, and private real assets
Asset Allocation and Private Markets provides institutional investors, such as pension funds, insurance groups and family offices, with a single-volume authoritative resource on including private markets in strategic asset allocation. The discussion focuses on private equity, private debt and private real assets, and their correlation with other asset classes to establish optimized investment portfolios.
Artificial intelligence for asset management and investment : A strategic perspective
The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond.
