Calibration and Parameterization Methods for the Libor Market Model

The 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, e...

Full description

Bibliographic Details
Main Author: Hackl, Christoph
Format: eBook
Language:English
Published: Wiesbaden Springer Fachmedien Wiesbaden 2014, 2014
Edition:1st ed. 2014
Series:BestMasters
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02343nmm a2200301 u 4500
001 EB000423596
003 EBX01000000000000000276678
005 00000000000000.0
007 cr|||||||||||||||||||||
008 140107 ||| eng
020 |a 9783658046880 
100 1 |a Hackl, Christoph 
245 0 0 |a Calibration and Parameterization Methods for the Libor Market Model  |h Elektronische Ressource  |c by Christoph Hackl 
250 |a 1st ed. 2014 
260 |a Wiesbaden  |b Springer Fachmedien Wiesbaden  |c 2014, 2014 
300 |a IX, 64 p. 27 illus  |b online resource 
505 0 |a Libor Market Model implementation framework -- Speed vs. correctness -- Application examples and possible extensions 
653 |a Finance 
653 |a Macroeconomics and Monetary Economics 
653 |a Financial Economics 
653 |a Macroeconomics 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a BestMasters 
028 5 0 |a 10.1007/978-3-658-04688-0 
856 4 0 |u https://doi.org/10.1007/978-3-658-04688-0?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 332 
520 |a The 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“