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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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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.