Innovations in Quantitative Risk Management TU München, September 2013 /

Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Glau, Kathrin (Editor), Scherer, Matthias (Editor), Zagst, Rudi (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:Springer Proceedings in Mathematics & Statistics, 99
Subjects:
Online Access:http://dx.doi.org/10.1007/978-3-319-09114-3
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • Part I Markets, Regulation, and Model Risk
  • A Random Holding Period Approach for Liquidity-Inclusive Risk Management
  • Regulatory Developments in Risk Management: Restoring Confidence in Internal Models
  • Model Risk in Incomplete Markets with Jumps
  • Part II Financial Engineering
  • Bid-Ask Spread for Exotic Options Under Conic Finance
  • Derivative Pricing Under the Possibility of Long Memory in the supOU Stochastic Volatility Model
  • A Two-Sided BNS Model for Multicurrency FX Markets
  • Modeling the Price of Natural Gas with Temperature and Oil Price as Exogenous Factors
  • Copula-Specific Credit Portfolio Modeling
  • Implied Recovery Rates—Auctions and Models
  • Upside and Downside Risk Exposures of Currency Carry Trades via Tail Dependence
  • Part III Insurance Risk and Asset Management
  • Participating Life Insurance Contracts Under Risk Based Solvency Frameworks: How to Increase Capital Efficiency by Product Design
  • Reducing Surrender Incentives Through Fee Structure in Variable Annuities
  • A Variational Approach for Mean-Variance-Optimal Deterministic Consumption and Investment
  • Risk Control in Asset Management: Motives and Concepts
  • Worst-Case Scenario Portfolio Optimization Given the Probability of a Crash
  • Improving Optimal Terminal Value Replicating Portfolios
  • Part IV Computational Methods for Risk Management
  • Risk and Computation
  • Extreme Value Importance Sampling for Rare Event Risk Measurement
  • A Note on the Numerical Evaluation of the Hartman–Watson Density and Distribution Function
  • Computation of Copulas by Fourier Methods
  • Part V Dependence Modelling
  • Goodness-of-fit Tests for Archimedean Copulas in High Dimensions
  • Duality in Risk Aggregation
  • Some Consequences of the Markov Kernel Perspective of Copulas
  • Copula Representations for Invariant Dependence Functions
  • Nonparametric Copula Density Estimation Using a Petrov–Galerkin Projection.