Applied Quantitative Finance

Recent years have witnessed a growing importance of quantitative methods in both financial research and industry. This development requires the use of advanced techniques on a theoretical and applied level, especially when it comes to the quantification of risk and the valuation of modern financial...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Härdle, Wolfgang K. (Επιμελητής έκδοσης), Hautsch, Nikolaus (Επιμελητής έκδοσης), Overbeck, Ludger (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Έκδοση:2.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Value at Risk
  • Modeling Dependencies with Copulae
  • Quantification of Spread Risk by Means of Historical Simulation
  • A Copula-Based Model of the Term Structure of CDO Tranches
  • VaR in High Dimensional Systems – a Conditional Correlation Approach
  • Credit Risk
  • Rating Migrations
  • Cross- and Autocorrelation in Multi-Period Credit Portfolio Models
  • Risk Measurement with Spectral Capital Allocation
  • Valuation and VaR Computation for CDOs Using Stein’s Method
  • Implied Volatility
  • Least Squares Kernel Smoothing of the Implied Volatility Smile
  • Numerics of Implied Binomial Trees
  • Application of Extended Kalman Filter to SPD Estimation
  • Stochastic Volatility Estimation Using Markov Chain Simulation
  • Measuring and Modeling Risk Using High-Frequency Data
  • Valuation of Multidimensional Bermudan Options
  • Econometrics
  • Multivariate Volatility Models
  • The Accuracy of Long-term Real Estate Valuations
  • Locally Time Homogeneous Time Series Modelling
  • Simulation Based Option Pricing
  • High-Frequency Volatility and Liquidity
  • Statistical Process Control in Asset Management
  • Canonical Dynamics Mechanism of Monetary Policy and Interest Rate.