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Mathematical and Statistical Methods for Actuarial Sciences and Finance

Overview of attention for book
Mathematical and Statistical Methods for Actuarial Sciences and Finance
Springer Milan

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Impact of interest rate risk on the Spanish banking sector
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    Chapter 2 Tracking error with minimum guarantee constraints
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    Chapter 3 Energy markets: crucial relationship between prices
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    Chapter 4 Tempered stable distributions and processes in finance: numerical analysis
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    Chapter 5 Transformation kernel estimation of insurance claim cost distributions
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    Chapter 6 What do distortion risk measures tell us on excess of loss reinsurance with reinstatements?
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    Chapter 7 Some classes of multivariate risk measures
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    Chapter 8 Assessing risk perception by means of ordinal models
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    Chapter 9 A financial analysis of surplus dynamics for deferred life schemes
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    Chapter 10 Checking financial markets via Benford’s law: the S&P 500 case
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    Chapter 11 Empirical likelihood based nonparametric testing for CAPM
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    Chapter 12 Lee-Carter error matrix simulation: heteroschedasticity impact on actuarial valuations
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    Chapter 13 Estimating the volatility term structure
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    Chapter 14 Exact and approximated option pricing in a stochastic volatility jump-diffusion model
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    Chapter 15 A skewed GARCH-type model for multivariate financial time series
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    Chapter 16 Financial time series and neural networks in a minority game context
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    Chapter 17 Robust estimation of style analysis coefficients
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    Chapter 18 Managing demographic risk in enhanced pensions
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    Chapter 19 Clustering mutual funds by return and risk levels
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    Chapter 20 Multivariate Variance Gamma and Gaussian Dependence: a study with copulas
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    Chapter 21 A simple dimension reduction procedure for corporate finance composite indicators
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    Chapter 22 The relation between implied and realised volatility in the DAX index options market
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    Chapter 23 Binomial algorithms for the evaluation of options on stocks with fixed per share dividends
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    Chapter 24 Nonparametric prediction in time series analysis: some empirical results
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    Chapter 25 On efficient optimisation of the CVaR and related LP computable risk measures for portfolio selection
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    Chapter 26 A pattern recognition algorithm for optimal profits in currency trading
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    Chapter 27 Nonlinear cointegration in financial time series
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    Chapter 28 Optimal dynamic asset allocation in a non—Gaussian world
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    Chapter 29 Fair costs of guaranteed minimum death benefit contracts
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    Chapter 30 Solvency evaluation of the guaranty fund at a large financial cooperative
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    Chapter 31 A Monte Carlo approach to value exchange options using a single stochastic factor
Attention for Chapter 19: Clustering mutual funds by return and risk levels
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Chapter title
Clustering mutual funds by return and risk levels
Chapter number 19
Book title
Mathematical and Statistical Methods for Actuarial Sciences and Finance
Published by
Springer, Milano, January 2010
DOI 10.1007/978-88-470-1481-7_19
Book ISBNs
978-8-84-701480-0, 978-8-84-701481-7
Authors

Francesco Lisi, Edoardo Otranto, Lisi, Francesco, Otranto, Edoardo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Professor 1 20%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Researcher 1 20%
Other 0 0%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 40%
Unspecified 1 20%
Computer Science 1 20%
Business, Management and Accounting 1 20%