000 | 02152nam a22003017a 4500 | ||
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001 | sulb-eb0015878 | ||
003 | BD-SySUS | ||
005 | 20160405134448.0 | ||
008 | 130517s2013||||enk o ||1 0|eng|d | ||
020 | _a9781107256736 (ebook) | ||
020 | _z9781107048119 (hardback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
050 | 0 | 0 |
_aHG4529.5 _b.R43 2013 |
082 | 0 | 0 |
_a332.601/519542 _223 |
100 | 1 |
_aRebonato, Riccardo, _eauthor. |
|
245 | 1 | 0 |
_aPortfolio Management under Stress : _bA Bayesian-Net Approach to Coherent Asset Allocation / _cRiccardo Rebonato, Alexander Denev. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2013. |
|
300 |
_a1 online resource (516 pages) : _bdigital, PDF file(s). |
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336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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500 | _aTitle from publisher's bibliographic system (viewed on 04 Apr 2016). | ||
520 | _aPortfolio Management under Stress offers a novel way to apply the well-established Bayesian-net methodology to the important problem of asset allocation under conditions of market distress or, more generally, when an investor believes that a particular scenario (such as the break-up of the Euro) may occur. Employing a coherent and thorough approach, it provides practical guidance on how best to choose an optimal and stable asset allocation in the presence of user specified scenarios or 'stress conditions'. The authors place causal explanations, rather than association-based measures such as correlations, at the core of their argument, and insights from the theory of choice under ambiguity aversion are invoked to obtain stable allocations results. Step-by-step design guidelines are included to allow readers to grasp the full implementation of the approach, and case studies provide clarification. This insightful book is a key resource for practitioners and research academics in the post-financial crisis world. | ||
700 | 1 |
_aDenev, Alexander, _eauthor. |
|
776 | 0 | 8 |
_iPrint version: _z9781107048119 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1017/CBO9781107256736 |
942 |
_2Dewey Decimal Classification _ceBooks |
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999 |
_c37722 _d37722 |