000 | 02851nam a22004575i 4500 | ||
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001 | 978-3-658-04688-0 | ||
003 | DE-He213 | ||
005 | 20200420211744.0 | ||
007 | cr nn 008mamaa | ||
008 | 131227s2014 gw | s |||| 0|eng d | ||
020 |
_a9783658046880 _9978-3-658-04688-0 |
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024 | 7 |
_a10.1007/978-3-658-04688-0 _2doi |
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050 | 4 | _aHG1-HG9999 | |
072 | 7 |
_aKFF _2bicssc |
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072 | 7 |
_aBUS027000 _2bisacsh |
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082 | 0 | 4 |
_a332 _223 |
100 | 1 |
_aHackl, Christoph. _eauthor. |
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245 | 1 | 0 |
_aCalibration and Parameterization Methods for the Libor Market Model _h[electronic resource] / _cby Christoph Hackl. |
264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Gabler, _c2014. |
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300 |
_aIX, 64 p. 27 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 | _aBestMasters | |
505 | 0 | _aLibor Market Model implementation framework -- Speed vs. correctness -- Application examples and possible extensions. | |
520 | _aThe Libor Market Model (LMM) is a mathematical model for pricing and risk management of interest rate derivatives and has been built on the framework of modelling forward rates. For the conceptual understanding of the model a strong background in the fields of mathematics, statistics, finance and, especially for implementation, computer science is necessary. The book provides the necessary groundwork to understand the LMM and delivers a framework to implement a working model where possible calibration and parameterization methods for volatility and correlation are explained. Special emphasis lies also on the tradeoff of speed and correctness where differences in choosing random number generators and the advantages of factor reduction are shown.   Contents   Libor Market Model implementation framework Speed vs. correctness Application examples and possible extensions     Target Groups Researchers and advanced master degree students in a quantitative field (Mathematics, Quant. Finance, Statistics, Physics) Practitioners in the quantitative area of the financial services industry   The Author Christoph Hackl, MA obtained his master's degree at the UAS bfi Vienna in the programme "Quantitative Asset and Risk Management". | ||
650 | 0 | _aFinance. | |
650 | 0 | _aMacroeconomics. | |
650 | 1 | 4 | _aFinance. |
650 | 2 | 4 | _aFinance, general. |
650 | 2 | 4 | _aMacroeconomics/Monetary Economics//Financial Economics. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783658046873 |
830 | 0 | _aBestMasters | |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-658-04688-0 |
912 | _aZDB-2-SBE | ||
942 | _cEBK | ||
999 |
_c50829 _d50829 |