𝔖 Scriptorium
✦   LIBER   ✦

📁

Mathematical and Statistical Methods for Actuarial Sciences and Finance

✍ Scribed by Marco Corazza (editor), Pizzi Claudio (editor)


Publisher
Springer
Year
2010
Tongue
English
Leaves
315
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This book features selected papers from the international conference MAF 2008 that cover a wide variety of subjects in actuarial, insurance and financial fields, all treated in light of the successful cooperation between mathematics and statistics.

✦ Table of Contents


Title Page
Copyright Page
Preface
Table of Contents
List of Contributors
Impact of interest rate risk on the Spanish banking sector
1 Introduction
2 Literature review
3 Methodology
4 Data
5 Empirical results
6 Conclusions
References
Tracking error with minimum guarantee constraints
1 Introduction
2 Minimum guaranteed return and constraintson the level of wealth
3 Benchmark and tracking error issues
4 Formulation of the problem
5 Conclusions
References
Energy markets: crucial relationship between prices
1 Introduction
2 Relevant literature
3 The data set
4 The short-run relationship
5 The long-run relationship
6 Conclusions
References
Tempered stable distributions and processes infinance: numerical analysis
1 Introduction
2 Basic definitions
3 Evaluating the density function
4 Simulation of TSα processes
4.1 A Monte Carlo example
5 Conclusions
References
Transformation kernel estimation of insurance claim cost distributions
1 Introduction
2 Estimation procedure
3 VaR estimation
4 Simulation study
5 Data study
References
What do distortion risk measures tell us on excess of loss reinsurance with reinstatements?
1 Introduction
2 Excess of loss reinsurance with reinstatements: problem setting
3 Initial premium, aggregate claims and distortion risk measures
3.1 Distortion risk measures
4 Risk-adjusted premiums
5 Conclusions
References
Some classes of multivariate risk measures
1 Introduction
2 Multivariate case
3 Multivariate distorted risk measures
4 Measures of concordance
5 A vector-valuedmeasure
6 Conclusions
References
Assessing risk perception by means of ordinal models
1 Introduction
2 CUB models: description and inference
3 Assessing risk perception: some empirical evidence
3.1 Data analysis
3.2 Control and measure risk perception: a map
3.3 Perception of fire/explosion risk
4 Conclusions
References
A financial analysis of surplus dynamics fordeferred life schemes∗
1 Introduction
2 The model
3 Surplus analysis
3.1 The mathematical framework
3.2 The computational application
4 Results
5 Conclusions and future research prospect
References
Checking financial markets via Benford’s law: the S&P 500 case
1 Introduction
2 Benford’s law: an introduction
3 Benford’s law: financial applications
4 Do the S&P 500’s stocks satisfy Benford’s law?
4.1 Overall analysis
4.2 Day-by-day analysis
4.3 Consecutive rejection days analysis
5 Conclusions
References
Empirical likelihood based nonparametric testing for CAPM
1 Introduction
2 The CAPM in a nutshell
2.1 Theoretical model
2.2 Testing strategy
2.3 The parametric step
3 The nonparametric goodness-of-fit test
4 Empirical results and conclusions
References
Lee-Carter error matrix simulation:heteroschedasticity impact on actuarial valuations
1 Introduction
2 The Lee-Carter model: a sensitivity issue
3 The experiment
4 Running the experiment
5 Numerical illustrations
5.1 Financial hypotheses
5.2 Mortality hypotheses
6 Conclusions
References
Estimating the volatility term structure
1 Introduction
2 Data
3 GARCH models
4 Differences in the volatility from different models
5 A principal component analysis of volatility term structure (VTS)
6 Conclusions
References
Exact and approximated option pricing in a stochastic volatility jump-diffusion model
1 Introduction
2 Stochastic volatility jump-diffusion model
3 Closed formula for European-style options
4 Generating sample paths
5 Barrier options and their Greeks
6 Numerical results
7 Conclusions
References
A skewed GARCH-type model for multivariate financial time series
1 Introduction
2 Third moment
3 The multivariate skew-normal distribution
4 A skewed GARCH-typemodel
5 Data analysis
6 Sign tests for symmetry
7 Conclusions
References
Financial time series and neural networks in a minority game context
1 Minority games and financial markets
2 Neural network and financial time series
3 Conclusions
References
Robust estimation of style analysis coefficients
1 Introduction
2 Sharpe-style regression model
3 A robust approach to style analysis
4 Simulation results
5 Conclusions and further issues
References
Managing demographic risk in enhanced pensions
1 Introduction
2 Actuarial model for Enhanced Pensions
3 Demographic scenarios
4 A risk theory model
4.1 Risk-based capital requirements
5 Profit analysis
6 Portfolio simulation results
7 Conclusions
References
Clustering mutual funds by return and risk levels
1 Introduction
2 Risk modelling
3 An application
4 Some concluding remarks
References
Multivariate Variance Gamma and Gaussian dependence: a study with copulas∗
1 Introduction
2 VGmodels
2.1 Dependence structure
3 Empirical investigation
3.1 Data
3.2 Selection of the α-VG parameters
3.3 Copula results
3.4 Measures of dependence
4 Conclusions and further research
Appendix
References
A simple dimension reduction procedure for corporate finance composite indicators∗
1 Introduction
2 Composite indicator computation
3 To reduce the dimension of composite indicators
4 A practical application
5 Conclusions
References
The relation between implied and realised volatility in the DAX index options market
1 Introduction
2 The data set, the sampling procedure and the definition of the variables
3 The methodology
4 The results
5 Conclusions
References
Binomial algorithms for the evaluation of options on stocks with fixed per share dividends
1 Introduction
2 European-style options
3 American-style options
4 Binomial models
5 Numerical experiments
6 Conclusions
References
Nonparametric prediction in time series analysis: some empirical results
1 Introduction
2 Nonparametric kernel predictors
3 Simulation results
4 Empirical results on 90-day US T-bill rate
5 Conclusions
References
On efficient optimisation of the CVaR and related LP computable risk measures for portfolio selection
1 Introduction
2 Computational LP models
3 Conclusions
References
A pattern recognition algorithm for optimal profits in currency trading
1 Introduction
2 Pattern recognition algorithm
3 Experimental results
4 Conclusions and future work
References
Nonlinear cointegration in financial time series
1 Introduction
2 Nonlinear cointegration
3 An application to a financial time series
4 Conclusion
References
Optimal dynamic asset allocation in a non–Gaussian world
1 Introduction
2 The model: formal statement and optimal solution
3 Case study: a total return portfolio in the US market
4 Conclusions
Appendix: Markets MMGM modeling
References
Fair costs of guaranteed minimum death benefit contracts
1 Introduction
2 General framework and main notations
2.1 Financial risk and mortality
2.2 Contract payoff
2.3 Main Equations
3 Pricing model
3.1 Modelling stochastic interest rates and subaccount jumps
3.2 Present value of fees
3.3 Mortality models
3.4 Valuation of the embedded GMDB option
4 Empirical study
4.1 Impact of jumps and interest rates
4.2 Impact of combined risk factors
5 Conclusions
References
Solvency evaluation of the guaranty fund at a large financial cooperative
1 Introduction
2 Context of the study
3 Analysis and selection of methodologies
4 The aggregated approach
5 The disaggregated approach
6 Comparison of the two approaches
7 Financial impact of the study
8 Conclusions
References
A Monte Carlo approach to value exchange options using a single stochastic factor
1 Introduction
2 The price of a Simple European Exchange Option (SEEO)
3 The price of a Compound European Exchange Option (CEEO)
4 The price of a Pseudo American Exchange Option (PAEO)
5 Numerical examples and variance reduction techniques
6 Conclusions
References


📜 SIMILAR VOLUMES


Mathematical and Statistical Methods for
✍ Laura Ballester, Román Ferrer (auth.), Marco Corazza, Claudio Pizzi (eds.) 📂 Library 📅 2010 🏛 Springer-Verlag Mailand 🌐 English

<p><P>The interaction between mathematicians and statisticians reveals to be an effective approach for dealing with actuarial, insurance and financial problems, both in an academic and in an operative perspective. The international conference MAF 2008, held at the University Ca’ Foscari of Venezia (

Mathematical and Statistical Methods for
✍ Giuseppina Albano, Francesco Giordano (auth.), Cira Perna, Marilena Sibillo (eds 📂 Library 📅 2012 🏛 Springer-Verlag Mailand 🌐 English

<p>The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively, after a reviewing process, worked

Mathematical and Statistical Methods for
✍ Cira Perna, Marilena Sibillo 📂 Library 📅 2014 🏛 Springer 🌐 English

This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field and provides interestin

Mathematical and Statistical Methods for
✍ Cira Perna, Marilena Sibillo (eds.) 📂 Library 📅 2014 🏛 Springer International Publishing 🌐 English

<p>This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field and provides interes

Mathematical and Statistical Methods for
✍ Marco Corazza, María Durbán, Aurea Grané, Cira Perna, Marilena Sibillo 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

<p><p>The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and

Mathematical and Statistical Methods for
✍ Marco Corazza, Claudio Pizzi (eds.) 📂 Library 📅 2014 🏛 Springer International Publishing 🌐 English

<p><p>The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one. The collection of original papers presented in this volume pursues precis