The New Science of Asset Allocation Risk Management in a Multi-Asset World
| Author/creator | Schneeweis, Thomas Author |
| Other author | Crowder, Garry B. Author |
| Other author | Kazemi, Hossein Author |
| Other author | Crowder, Garry B. Author |
| Format | Electronic |
| Publication Info | Wiley [Imprint] Hoboken : John Wiley & Sons, Incorporated |
| Description | 368 p. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Series | Wiley Finance Ser. |
| Summary | Annotation <p>A feasible asset allocation framework for the post 2008 financial world</p><p>Asset allocation has long been a cornerstone of prudent investment management; however, traditional allocation plans failed investors miserably in 2008. Asset allocation still remains an essential part of the investment arena, and through a new approach, you'll discover how to make it work.</p><p>In <i>The New Science of Asset Allocation,</i> authors Thomas Schneeweis, Garry Crowder, and Hossein Kazemi first explore the myths that plague this field then quickly move on to examine how the practice of asset allocation has failed in recent years. They then propose new allocation models that employ liquidity, transparency, and real risk controls across multiple asset classes.</p><ul><li>Outlines a new approach to asset allocation in a post-2008 world, where risk seems hidden</li><li>The "great manager" problem is examined with solutions on how to capture manager alpha while limiting downside risk</li><li>A complete case study is presented that allocates for beta and alpha</li></ul><p>Written by an experienced team of industry leaders and academic experts, <i>The New Science of Asset Allocation</i> explains how you can effectively apply this approach to a financial world that continues to change.</p> |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9780470608395 |
| ISBN | 0470608390 (E-Book) Active Record |
| Standard identifier# | 9780470608395 |
| Stock number | 00028608 |