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Mathematical Finance

enthalten in Springer Finance-Reihe

Über Mathematical Finance

This book bridges the gap between introductory texts and the advanced literature in the field. Its starting and focal point are continuous-time stochastic processes allowing for jumps. It provides an accessible introduction to the stochastic calculus and control of semimartingales and explains basic concepts of Mathematical Finance such as arbitrage theory, hedging, valuation principles, portfolio choice, and term structure modelling. Most textbooks on the subject are limited to diffusion-type models which cannot easily account for sudden price movements. Such abrupt changes, however, can often be observed in real markets. At the same time, purely discontinuous processes lead to a much wider variety of flexible and tractable models. This explains why processes with jumps have become an established tool in the statistics and mathematics of finance. Graduate students, researchers as well as practitioners will benefit from this monograph.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9783030261054
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 772
  • Veröffentlicht:
  • 12 Dezember 2019
  • Ausgabe:
  • 12019
  • Abmessungen:
  • 240x159x46 mm.
  • Gewicht:
  • 1342 g.
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Beschreibung von Mathematical Finance

This book bridges the gap between introductory texts and the advanced literature in the field. Its starting and focal point are continuous-time stochastic processes allowing for jumps. It provides an accessible introduction to the stochastic calculus and control of semimartingales and explains basic concepts of Mathematical Finance such as arbitrage theory, hedging, valuation principles, portfolio choice, and term structure modelling.
Most textbooks on the subject are limited to diffusion-type models which cannot easily account for sudden price movements. Such abrupt changes, however, can often be observed in real markets. At the same time, purely discontinuous processes lead to a much wider variety of flexible and tractable models. This explains why processes with jumps have become an established tool in the statistics and mathematics of finance.

Graduate students, researchers as well as practitioners will benefit from this monograph.

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