00905nam a2200217 a 4500991000736319707536 b13903457-39ule_instDip.to Studi Storiciita364.153209 Strazza, Michele315836Senza via di scampo :gli stupri nelle guerre mondiali /Michele StrazzaPotenza :Consiglio regionale della Basilicata, Commissione regionale per la parità e le pari opportunità, stampa 2010 200 p. ;24 cm.Un archivio della memoria .b1390345702-04-1419-05-10991000736319707536LE023 364.153 STR 1 1 12023000118863le023-E20.00-l- 01110.i1513063019-05-10Senza via di scampo227223UNISALENTOle02326-05-10ma -itait 0004233nam 22006615 450 991059007750332120251204104055.09783031063619(electronic bk.)978303106360210.1007/978-3-031-06361-9(MiAaPQ)EBC7077617(Au-PeEL)EBL7077617(CKB)24739763000041(DE-He213)978-3-031-06361-9(PPN)26419277X(EXLCZ)992473976300004120220824d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierContinuous Time Processes for Finance Switching, Self-exciting, Fractional and other Recent Dynamics /by Donatien Hainaut1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (359 pages)Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics,2039-148X ;12Print version: Hainaut, Donatien Continuous Time Processes for Finance Cham : Springer International Publishing AG,c2022 9783031063602 Preface -- Acknowledgements -- Notations -- 1. Switching Models: Properties and Estimation -- 2. Estimation of Continuous Time Processes by Markov Chain Monte Carlo -- 3. Particle Filtering and Estimation -- 4. Modeling of Spillover Effects in Stock Markets -- 5. Non-Markov Models for Contagion and Spillover -- 6. Fractional Brownian Motion -- 7. Gaussian Fields for Asset Prices -- 8. Lévy Interest Rate Models With a Long Memory -- 9. Affine Volterra Processes and Rough Models -- 10. Sub-Diffusion for Illiquid Markets -- 11. A Fractional Dupire Equation for Jump-Diffusions -- References.This book explores recent topics in quantitative finance with an emphasis on applications and calibration to time-series. This last aspect is often neglected in the existing mathematical finance literature while it is crucial for risk management. The first part of this book focuses on switching regime processes that allow to model economic cycles in financial markets. After a presentation of their mathematical features and applications to stocks and interest rates, the estimation with the Hamilton filter and Markov Chain Monte-Carlo algorithm (MCMC) is detailed. A second part focuses on self-excited processes for modeling the clustering of shocks in financial markets. These processes recently receive a lot of attention from researchers and we focus here on its econometric estimation and its simulation. A chapter is dedicated to estimation of stochastic volatility models. Two chapters are dedicated to the fractional Brownian motion and Gaussian fields. After a summary of their features, we present applications for stock and interest rate modeling. Two chapters focuses on sub-diffusions that allows to replicate illiquidity in financial markets. This book targets undergraduate students who have followed a first course of stochastic finance and practitioners as quantitative analyst or actuaries working in risk management.Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics,2039-148X ;12ProbabilitiesSocial sciencesMathematicsEconometricsActuarial scienceProbability TheoryMathematics in Business, Economics and FinanceEconometricsActuarial MathematicsQuantitative EconomicsProbabilities.Social sciencesMathematics.Econometrics.Actuarial science.Probability Theory.Mathematics in Business, Economics and Finance.Econometrics.Actuarial Mathematics.Quantitative Economics.332.015195332.015195Hainaut Donatien781289MiAaPQMiAaPQMiAaPQ9910590077503321Continuous Time Processes for Finance2908313UNINA