This work discusses the area of risk budgeting and portfolio construction from an asset management perspective with a critical review of existing portfolio techniques. It provides the key concepts and methods to implement quantitatively-driven portfolio construction. Areas include satellite investing, estimation error heuristics, scenario optimisation, mean variance investing, Bayesian methods, budgeting active risk, non-normality and multiple manager allocation. The emphasis is on practical applications and problem-solving written in a highly accessible style. The title contains quantitative analysis that is supported by extensive examples, tables and charts to help practitioners adopt the subject matter in their day-to-day work.
"synopsis" may belong to another edition of this title.
"This book makes an important contribution to asset management and I recommend it very strongly" Dr Stephen Satchell, Trinity College, Cambridge "This book will appeal to a large audience because it is sophisticated without being too technical" Glyn Holton, Contingency Analysis "This book shows an approach that leads to more intuitive portfolios...it is highly recommended to the professional and academic communities" Srefan HArtmann, Global head of quantitative analysis, ABN AMRO
Dr Bernd Scherer heads the Advanced Applications Group in Europe and the Middle East at Deutsche Bank's Asset Management division, offering cutting edge investment solutions to a sophisticated institutional client base. Before joining Deutsche Bank, Dr Scherer globally headed fixed-income portfolio research at Schroder Investment Management in London. During his 10-year career in asset management he has held various positions at Morgan Stanley, Oppenheim Investment Management and JP Morgan Investment Management. He publishes widely in relevant asset management industry journals and investment handbooks and is a regular speaker at investment conferences. Dr Scherer's current research interests focus on asset valuation, portfolio construction, strategic asset allocation and asset liability modelling. Dr Scherer holds MBA and MSc degrees from the University of Augsburg and the University of London, as well as a PhD in finance from the University of Giessen.
"About this title" may belong to another edition of this title.
Seller: HPB-Red, Dallas, TX, U.S.A.
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_363189786
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1899332448I4N00
Seller: Brit Books, Milton Keynes, United Kingdom
Hardcover. Condition: Used; Very Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality. Seller Inventory # 4216507
Quantity: 1 available
Seller: Antiquariaat Schot, Hendrik-Ido-Ambacht, Netherlands
230 p. Hardcover (Very fine copy.). Seller Inventory # 02402
Quantity: 1 available
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.
Hardcover. Condition: New. In shrink wrap. Looks like an interesting title! Seller Inventory # Q-1899332448
Seller: Mispah books, Redhill, SURRE, United Kingdom
Hardcover. Condition: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA82918993324486