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Stochastic Finance

Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780387283593
Veröffentl:
2006
Seiten:
364
Autor:
Albert N. Shiryaev
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

Ever since Black, Scholes, and Merton did their pioneering work in the field of financial mathematics, continuing research has led to the rapid development of a substantial body of knowledge, with numerous applications to the common functioning of the world's financial institutions.
"Since the pioneering work of Black, Scholes, and Merton in the field of financial mathematics, research has led to the rapid development of a substantial body of knowledge, with plenty of applications to the common functioning of the world's financial institutions.
Preface PART I. PLENARY AND INVITED LECTURES 1. How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise (Yacine Aït-Sahalia, Per A. Mykland, Lan Zhang) 2. Multipower Variation and Stochastic Volatility (Ole E. Barndorff-Nielsen, Neil Shephard) 3. Completeness of a General Semimartingale Market under Constrained Trading (Tomasz R. Bielecki, Monique Jeanblanc, Marek Rutkowski) 4. Extremal behavior of stochastic volatility models (Vicky Fasen, Claudia Klüppelberg, Alexander Lindner) 5. Capital Asset Pricing for Markets with Intensity Based Jumps (Eckhard Platen) 6. Mortgage Valuation and Optimal Refinancing (Stanley R. Pliska) 7. Computing efficient hedging strategies in discontinuous market models (Wolfgang J.Runggaldier, Sara Di Emidio) 8. A Downside Risk Analysis based on Financial Index Tracking Models (Lian Yu, Shuzhong Zhang, Xun Yu Zhou) PART II. CONTRIBUTED TALKS 9. Modelling electricity prices by the potential jump-diffusion (Svetlana Borovkova, Ferry Jaya Permana) 10. Finite dimensional Markovian realizations for forward price term structure models (Raquel M. Gaspa) 11. Good Portfolio Strategies under Transaction Costs: A Renewal Theoretic Approach (Albrecht Irle, Jörn Sass) 12. Power and Multipower Variation: inference for high frequency data (Jeannette H.C. Woerner)

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