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Stochastic Volatility Modeling
Lorenzo Bergomi
€ 110.27
FREE Delivery in Ireland
Description for Stochastic Volatility Modeling
Hardback. Series: Chapman & Hall/CRC Financial Mathematics Series. Num Pages: 522 pages, 88 black & white illustrations, 18 black & white tables. BIC Classification: KCHS; KFFM; PBW. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 164 x 241 x 36. Weight in Grams: 890.
Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including: Which trading issues do we tackle with stochastic volatility? How do we design models and assess their relevance? How do we tell which models are usable and when does calibration make sense? ... Read more
Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including: Which trading issues do we tackle with stochastic volatility? How do we design models and assess their relevance? How do we tell which models are usable and when does calibration make sense? ... Read more
Product Details
Publisher
Apple Academic Press Inc.
Format
Hardback
Publication date
2016
Series
Chapman & Hall/CRC Financial Mathematics Series
Condition
New
Number of Pages
506
Place of Publication
Oakville, Canada
ISBN
9781482244069
SKU
V9781482244069
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2
About Lorenzo Bergomi
Lorenzo Bergomi heads the quantitative research group at Societe Generale, covering all asset classes. A quant for over 15 years, he is well known for his pioneering work on stochastic volatility modeling, some of which has appeared in the Smile Dynamics series of articles in Risk magazine. He was also the magazine's 2009 Quant of the Year. Originally trained as ... Read more
Reviews for Stochastic Volatility Modeling
With this book, Bergomi has actually offered a precious gift to the whole quant community: his very rich and concrete experience on volatility modelling organized in 500 pages and 12 chapters full of insights; and to the academic community as well: new ideas, points of view, and questions that could well feed their research for years. ... Read more