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  • 1
    Keywords: Finance ; Mathematics ; Quantitative Finance ; Game Theory, Economics, Social and Behav. Sciences ; Finance, general ; Actuarial Sciences
    Description / 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
    Pages: Online-Ressource (XI, 438 pages) , 84 illustrations
    ISBN: 9783319091143
    Language: English
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  • 2
    Keywords: Finance ; Mathematics ; Quantitative Finance ; Game Theory, Economics, Social and Behav. Sciences ; Finance, general ; Actuarial Sciences
    Description / 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
    Pages: Online-Ressource (XI, 438 pages) , 84 illustrations
    ISBN: 9783319091143
    Language: English
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  • 3
    Keywords: Finance ; Banks and banking ; Statistics ; Distribution (Probability theory ; Financial engineering ; Quantitative Finance ; Banking ; Statistics for Business/Economics/Mathematical Finance/Insurance ; Mathematical Modeling and Industrial Mathematics ; Probability Theory and Stochastic Processes ; Financial Engineering
    Description / Table of Contents: Foreword --- Preface --- Part I: Valuation Adjustments --- Part II: Fixed Income Modeling --- Part III: Financial Engineering.
    Pages: Online-Ressource (X, 449 pages) , 68 illustrations, 43 illustrations in color
    ISBN: 9783319334462
    Language: English
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  • 4
    Keywords: Finance ; Mathematics ; Quantitative Finance ; Game Theory, Economics, Social and Behav. Sciences ; Finance, general ; Actuarial Sciences
    Description / 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
    Pages: Online-Ressource (XI, 438 pages) , 84 illustrations
    ISBN: 9783319091143
    Language: English
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    OR spectrum 21 (1999), S. 97-122 
    ISSN: 1436-6304
    Keywords: Key words:Portfolio optimization – Mean-variance efficient frontier – Volatility constraints – Benchmark – Shortfall constraints – Value at risk ; Schlüsselwörter: Portfolio Optimierung – Erwartungswert – Varianz – Effizienzlinie – Volatilitätsbeschränkungen – Benchmark – Shortfall-Beschränkungen – Value at Risk
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Description / Table of Contents: Zusammenfassung. In dieser Arbeit untersuchen wir zwei Modelle der Portfolio Optimierung. Beschränkungen der Volatilität (Standardabwei- chung) und Shortfall Beschränkungen werden betrachtet und verglichen. Wir geben eine allgemeine Bedingung an, bei der die Restriktion auf ein bestimmtes Risikomaß bezüglich Volatilität als spezielle Shortfall Restriktion formuliert werden kann und umgekehrt. Wir zeigen weiter, daß unter dieser Bedingung der Value at Risk eines Portfolios mittels der Varianz des Portfolios leicht berechnet und beschränkt werden kann, auch wenn die Renditeverteilung nicht symmetrisch ist. Schließlich geben wir zwei Beispiele aus der Portfolio Optimierung an, an denen gezeigt wird, wie unsere Bedingung angewandt werden kann.
    Notes: Abstract. In this paper we examine two models of portfolio optimization. Volatility (standard deviation) constraints as well as shortfall constraints are considered and compared. We present a general condition under which the restriction to a certain risk level concerning volatility can be transformed to a special shortfall constraint and vice versa. We show that under this condition the Value at Risk of a portfolio can be easily calculated and restricted using the variance of the portfolio even if the return distribution is asymmetric. Finally, we give two examples of portfolio optimization where we show how the derived condition can be applied.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical methods of operations research 39 (1994), S. 187-207 
    ISSN: 1432-5217
    Keywords: Convex stochastic control models ; Monotonicity results ; Bounds ; Convex stochastic orderings and Blackwell ordering
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract We consider a general convex stochastic control model. Our main interest concerns monotonicity results and bounds for the value functions and for optimal policies. In particular, we show how the value functions depend on the transition kernels and we present conditions for a lower bound of an optimal policy. Our approach is based on convex stochastic orderings of probability measures. We derive several interesting sufficient conditions of these ordering concepts, where we make also use of the Blackwell ordering. The structural results are illustrated by partially observed control models and Bayesian information models.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical methods of operations research 41 (1995), S. 277-288 
    ISSN: 1432-5217
    Keywords: Bayesian semi-Markov control models ; Bounds ; Effects of information and learning effects ; Blackwell sufficiency ; Multi-period investment planning under uncertainty ; Bayesian information models
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract We consider a separable Bayesian semi-Markov control model to describe economic decisions under uncertainty. Our main interest is to examine the influence of the possibility of learning on the economic decisions and on the total expected return in a multi-period framework. We make use of the concept of Blackwell-sufficiency and apply the results to multi-period investment planing under uncertainty.
    Type of Medium: Electronic Resource
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  • 8
    Publication Date: 2009-05-20
    Print ISSN: 0254-5330
    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
    Published by Springer
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  • 9
    Publication Date: 2018-04-02
    Print ISSN: 0254-5330
    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
    Published by Springer
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  • 10
    Publication Date: 2010-02-25
    Print ISSN: 1432-2994
    Electronic ISSN: 1432-5217
    Topics: Mathematics , Economics
    Published by Springer
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