Mathematical and Statistical Methods for Actuarial Sciences and Finance [electronic resource] : MAF 2016 / edited by Marco Corazza, Florence Legros, Cira Perna, Marilena Sibillo.

Інтелектуальна відповідальність: Вид матеріалу: Текст Публікація: Cham : Springer International Publishing : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: VIII, 169 p. 19 illus., 8 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9783319502342
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 368.01 23
Класифікація Бібліотеки Конгресу:
  • HG8779-8793
Електронне місцезнаходження та доступ:
Вміст:
1 The effects of credit rating announcements on bond liquidity: An event study -- 2 The effect of credit rating events on the emerging CDS market -- 3 A generalised linear model approach to predict the result of research evaluation -- 4 Projecting dynamic life tables using Data Cloning -- 5 Markov switching GARCH models: Filtering, approximations and duality -- 6 A network approach to risk theory and portfolio selection -- 7 A PSO-based approach for improving simple trading systems -- 8 Provisions for outstanding claims with distance-based generalized linear models -- 9 Profitability vs. attractiveness within a performance analysis of a life annuity business -- 10 Uncertainty in historical Value-at-Risk: an alternative quantile-based risk measure -- 11 Modeling volatility risk premium -- 12 Covered call writing and framing: A cumulative prospect theory approach -- 13 Optimal portfolio selection for an investor with asymmetric attitude to gains and losses.
У: Springer eBooksЗведення: This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 – Mathematical and Statistical Methods for Actuarial Sciences and Finance”, held in Paris (France) at the Université Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on 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, one that yields unique  theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals.
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1 The effects of credit rating announcements on bond liquidity: An event study -- 2 The effect of credit rating events on the emerging CDS market -- 3 A generalised linear model approach to predict the result of research evaluation -- 4 Projecting dynamic life tables using Data Cloning -- 5 Markov switching GARCH models: Filtering, approximations and duality -- 6 A network approach to risk theory and portfolio selection -- 7 A PSO-based approach for improving simple trading systems -- 8 Provisions for outstanding claims with distance-based generalized linear models -- 9 Profitability vs. attractiveness within a performance analysis of a life annuity business -- 10 Uncertainty in historical Value-at-Risk: an alternative quantile-based risk measure -- 11 Modeling volatility risk premium -- 12 Covered call writing and framing: A cumulative prospect theory approach -- 13 Optimal portfolio selection for an investor with asymmetric attitude to gains and losses.

This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 – Mathematical and Statistical Methods for Actuarial Sciences and Finance”, held in Paris (France) at the Université Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on 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, one that yields unique  theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals.

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