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Seminari di Klaus Schredelseker e Eckhard Platen a Firenze
by Giacomo Scandolo 17 Apr '15

17 Apr '15

Nell'ambito del Corso di Laurea Magistrale in Finance and Risk Management (FiRM) dell'Università di Firenze i Proff Klaus SCHREDELSEKER (University of Innsbruck) e Eckhard PLATEN (University of Technology, Sydney) terranno i seguenti seminari presso il Dipartimento di Scienze per l'Economia e l'Impresa Edificio D6, via delle Pandette, 32, Firenze Tutti gli interessati sono invitati a partecipare Gli abstract degli interventi sono riportati in basso. ============================================================= Prof Klaus SCHREDELSEKER Martedì 5 Maggio, 14.00-16.00, aula D6/007 ''Financial Analysis and Efficient Markets '' Mercoledì 6 Maggio, 12.00-13.30 e 14.30-16.00, aula D6/102 "Information Economics applied to Financial Markets " ============================================================= Prof Eckhard PLATEN Giovedì 7 Maggio, 10.00-12.00, aula D6/105 ''Numerical Solutions of Stochastic Differential Equations with Jumps in Finance '' Venerdì 8 Maggio, 10.00-12.00, aula D6/013 "A Benchmark Approach to Finance " ============================================================= Abstract. ''Financial Analysis and Efficient Markets '' (Schredelseker) Financial Analysis is the basic of any type of financial reasoning (portfolio theory, capital market theory, derivatives). How it has to be done depends primarily upon the properties of the market: If it is assumed to be informationally efficient, financial analysis is redundant, but if this is the case, the market cannot be efficient. If, however, the market is assumed to be somewhat inefficient, there will be systematic winners and losers: Being a complex adaptive system, the financial market will exhibit nonlinearities in information. "Information Economics applied to Financial Markets " (Schredelseker) In natural sciences the value of information is always bound from zero: it can never be negative. This does not hold in multiperson-settings like a financial market: Getting better informed may result in a better or in a lower decision quality! A highly skilled and experienced financial analyst is assumed to expect a lower performance in the market as a lousy analyst. Methodology: Game theory, Agent-based modelling, Simulations, Genetic programming. ''Numerical Solutions of Stochastic Differential Equations with Jumps in Finance '' (Platen) In financial and actuarial modelling and other areas of application, stochastic differential equations with jumps have been employed to describe the dynamics of various state variables. The numerical solution of such equations is more complex than that of those only driven by Brownian motions. The aim of this lecture is to present various numerical methods used in quantitative finance for models involving stochastic differential equations with jumps. It emphasises mathematical concepts, techniques and intuition crucial for modern numerical methods in derivative pricing and risk management. Questions of numerical stability and convergence will be discussed. Several recent results will be presented on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector and extrapolation methods. "A Benchmark Approach to Finance " (Platen) This lecture introduces into the benchmark approach, which provides a generalized framework for financial market modelling. It allows for a unified treatment of derivative pricing, portfolio optimization and risk management. It extends beyond the classical asset pricing theories, with significant differences emerging for extreme maturity contracts and risk measures relevant to pensions and insurance. The Law of the Minimal Price will be presented for derivative pricing. A Naïve Diversification Theorem allows forming a proxy for the numeraire portfolio. The richer modelling framework of the benchmark approach leads to the derivation of tractable, realistic models under the real world probability measure. It will be explained how the approach differs from the classical risk neutral approach. Examples on long term and extreme maturity derivatives demonstrate the important fact that a range of contracts can be less expensively priced and hedged than suggested by classical theory. --- Questa e-mail è priva di virus e malware perché è attiva la protezione avast! Antivirus. http://www.avast.com

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Seminario di Valeria Bignozzi presso Prometeia - Bologna
by Giacomo Scandolo 17 Apr '15

17 Apr '15

Il giorno Giovedì 23 Aprile 2015, alle ore 14:30 presso la sede di Prometeia (sala grande, primo piano) via G.Marconi 43, Bologna Valeria BIGNOZZI (Università di Firenze) terrà un seminario dal titolo "How superadditive can a risk measure be?" Abstract Risk measures that are not subadditive may penalize the aggregation of risk, by inducing portfolio requirements that are larger than those of undiversified positions. This happens for instance for Value-at-Risk (VaR), as well as convex shortfall risk measures. In this paper we characterize the potential for superadditivity that any risk measure may exhibit, considering both dependence uncertainty as well as the effect of portfolio size. It is shown that for the wide majority of risk measures of use or interest this corresponds to calculating the smallest dominating coherent risk measure (SDCRM). We show that this risk measure often exists and is identified with the notion of extreme-aggregation risk measure introduced in this paper. Explicit results are provided for the class of distortion risk measures, where the SDCRM is again a distortion risk measure and for the class of shortfall risk measures, where the SDCRM is given by an expectile. --- Questa e-mail è priva di virus e malware perché è attiva la protezione avast! Antivirus. http://www.avast.com

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Four positions in statistics: Northumbria University, UK
by Enrico Scalas 17 Apr '15

17 Apr '15

Car* collegh*, all'Universita' della Northumbria (Newcastle upon Tyne, UK) e' in corso un reclutamento nel settore della statistica. Qui sotto trovate i link. La scadenza e' imminente, ma resta ancora un po' di tempo per fare domanda. Segnalate quest'opportunita' alle persone potenzialmente interessate. Cordiali saluti, Enrico Scalas --------------------------------------------------------------------------------------------------------------------------------- · Professor in Statistics http://work4.northumbria.ac.uk/hrvacs/eae1431 Closing date: 21 April 2015 · Reader in Statistics http://work4.northumbria.ac.uk/hrvacs/eae1430 Closing date: 21 April 2015 · Senior Lecturer/ Lecturer in Statistics (Two Posts) http://work4.northumbria.ac.uk/hrvacs/eae1432 Closing date: 23 April 2015

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No Free Lunch Seminar by Dott. Andrea Sillari, Tue April 21 1:00 PM Aula Mancini @ SNS
by Giacomo Bormetti 16 Apr '15

16 Apr '15

Tue April 21 2015, 1:00 PM in Aula Mancini, Scuola Normale Superiore Pisa Andrea Sillari Unicredit Bank - Milano will deliver the seminar "Risk Models - Operation, Maintenance, Upgrade" All interested people are kindly invited. Best, Giacomo -- Giacomo Bormetti Assistant Professor of Financial Mathematics -------------------------- Faculty of Mathematical and Natural Sciences Scuola Normale Superiore Pisa Piazza dei Cavalieri, 7 56126 Pisa - Italy email: giacomo.bormetti(a)sns.it http://mathfinance.sns.it/index.php/people/41-group-members/51-giacomo-borm… phone: +39 050 509248

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avviso di due seminari del Prof. Eeckhoudt
by Emanuela Rosazza 16 Apr '15

16 Apr '15

Il Prof. Louis EECKHOUDT (IESEG School of Management, Lille, Francia) terrà i due seguenti seminari: - Martedì 28 aprile 2015 ore 10.30 – 12.30: Risk attitudes: some history, main results and some extensions - Giovedì 30 aprile 2015 ore 10.30 – 12.30: Arrow - Pratt : 50 Years later nell’ AULA SEMINARI (EDIFICIO U7, 4° PIANO, ST. 4026) del Dipartimento di Statistica e Metodi Quantitativi dell’Università di Milano-Bicocca (Via degli Arcimboldi, 8 – 20126 MILANO). Tutti gli interessati sono invitati a partecipare. ******************************************************************************************* Emanuela Rosazza Gianin Dipartimento di Statistica e Metodi Quantitativi Università di Milano-Bicocca Edificio U7 – 4° Piano Via Bicocca degli Arcimboldi, 8 20126 Milano Tel. 02 64483208 Fax. 02 64483105 e-mail: emanuela.rosazza1(a)unimib.it *******************************************************************************************

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Avviso di seminario :: Scarsini@DSS (Scienze Statistiche, Sapienza)
by Pierpaolo Brutti 16 Apr '15

16 Apr '15

----------------------------------------------------------------------------- A v v i s o d i S e m i n a r i o ----------------------------------------------------------------------------- Giovedì 23 Aprile, ore 11:00am ----------------------------------------------------------------------------- Stanza 34 Dipartimento di Scienze Statistiche Sapienza Università di Roma MARCO SCARSINI (LUISS Guido Carli) terrà un seminario dal titolo ON INFORMATION DISTORTIONS IN ONLINE RATINGS. tutti gli interessati sono invitati a partecipare. ----------------------------------------------------------------------------- Maggiori informazioni sui seminari presso il DSS sono consultabili a quest'indirizzo: http://goo.gl/Y6OQYm Saluti Pierpaolo Brutti --- ABSTRACT Consumer reviews and ratings of products and services have become ubiquitous on the Internet. This paper analyzes, given the sequential nature of reviews and the limited feedback of such past reviews, the information content they communicate to future customers. We focus on the informational setting in which customers only observe the sample mean of past reviews, and ask if customers can recover the true quality of the product based on the feedback they observe. We first analyze the benchmark setting, in which customers interpret the mean as the proxy of quality. In such a case, we show that in the long run,the sample mean of review stabilizes and two cases may arise.If customers are relatively homogeneous, then social learning takes place. If customers are sufficiently heterogeneous, then they consistently overestimate the underlying quality of the product in the long run. This bias stems from the selection associated with observing only reviews of customers who purchase. We show, however,that if customers are sophisticated, then there exists a simple quality inference and purchasing rule that corrects for the selection bias and leads to social learning.In addition, we show that the cumulative consumer surplus losses scale with the square root of the number of customers who have considered a purchase to date, which is of the same order as when customers observe the reviews of all preceding customers. In this framework, we also analyze the externality of sophisticated customers on more naïve ones and quantify the impact that manipulated reviews may have.

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36th Finnish Summer School 1-5 June
by Valentina Cammarota 16 Apr '15

16 Apr '15

-----Messaggio originale----- From: Leskelä Lasse Sent: Wednesday, April 15, 2015 11:26 AM Subject: CFP: 36th Finnish Summer School on Probability and Statistics Call for participation (please forward this to students and colleagues): 36th Finnish Summer School on Probability Theory and Statistics 1-5 June 2015 Päivölä College, Valkeakoski, Finland http://web.abo.fi/fak/mnf/mate/gradschool/ PROGRAM Mindaugas Bloznelis (Vilnius U) Topics in random graphs Krista Fischer (Estonian Genome Center) Causal inference in biomedical applications Mikhail Lifshits (St. Petersburg State U) Gaussian processes: Applications and approximations Domenico Marinucci (U Rome Tor Vergata) Random fields on the sphere and their cosmological applications Registrations are due by 20 May 2015. The summer school is organized by the Finnish Doctoral Programme in Stochastics and Statistics (FDPSS). For more information, visit http://web.abo.fi/fak/mnf/mate/gradschool/ Looking forward to meeting many of you there! Lasse ................................................................................ Valentina Cammarota, Postdoc Department of Mathematics Universita` degli Studi di Roma Tor Vergata https://sites.google.com/site/valentinacammarota/ ................................................................................ -- Open WebMail Project (http://openwebmail.org)

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Algebraic Statistics 2015 - Genova (8-11 June, 2015) - Second announcement
by Fabio Rapallo 15 Apr '15

15 Apr '15

=============== SECOND ANNOUNCEMENT Algebraic Statistics 2015 (8-11 June, 2015) University of Genoa, Italy Dear colleague, We are organizing a workshop on Algebraic Statistics, 8-11 June, 2015, at the Department of Mathematics, University of Genoa, Italy. The meeting will include invited one-hour plenary talks, shorter contributed talks, a large poster session and three tutorials. We would like to kindly ask you to share this information with everyone who could be interested. ** conference website:http://www.dima.unige.it/~rogantin/AS2015/ ** the deadline for abstract submission is now extended: April 30, 2015 ** INVITED TALKS - Elvira Di Nardo (University of Basilicata), Symbolic methods in statistics: elegance towards efficiency - Thomas Kahle (OvGU Magdeburg), Algebraic geometry of Poisson regression - Sonja Petrovic (IIT Chicago), What are shell structures of random networks telling us? - Jim Q. Smith (University of Warwick), The geometry of chain event graphs - Bernd Sturmfels (UC Berkeley), Exponential varieties ** TUTORIALS - R package for algebraic statistics, Luis Garcia-Puente (Sam Houston State University). - Information Geometry and Algebraic Statistics on a finite state space and on Gaussian models, Giovanni Pistone (Collegio Carlo Alberto) and Luigi Malagò (Shinshu University and INRIA TAO) - Latent Tree Graphical Models, Piotr Zwiernik (Genoa) We encourage participation of young researchers, and welcome submissions for contributed talks and posters. ** For information on cheaper accommodation see: http://www.dima.unige.it/~rogantin/AS2015/afford.html Further information on submission deadlines and other logistics are available on the conference web page. SPONSORED BY Dipartimento di Matematica, Universita’ di Genova Dipartimento di Scienze e Innovazione Tecnologica, Universita’ del Piemonte Orientale Dipartimento di Scienze Matematiche, Politecnico di Torino WITH THE PATRONAGE OF Bernoulli Society De Castro Statistics Initiative, Collegio Carlo Alberto, Moncalieri SCIENTIFIC COMMITTEE Sonja Kuhnt (Fachhochschule Dortmund) Hugo Maruri-Aguilar (Queen Mary, London) Giovanni Pistone (Collegio Carlo Alberto) Fabio Rapallo (Universita’ del Piemonte Orientale) Eva Riccomagno (University of Genoa) Caroline Uhler (IST Austria) Henry Wynn (London School of Economics) Piotr Zwiernik (University of Genoa) ======== On behalf of the Organizing Committee, Fabio Rapallo -- Fabio Rapallo Dipartimento di Scienze e Innovazione Tecnologica Universita' del Piemonte Orientale viale Teresa Michel, 11 15121 ALESSANDRIA - ITALY Tel: +39 0131 360223 Fax: + 39 0131 360250 email: fabio.rapallo(a)mfn.unipmn.it web: http://people.unipmn.it/rapallo/ --------------------------

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de Finetti risk seminar - april 2015
by Emanuela Rosazza 14 Apr '15

14 Apr '15

On behalf of the Scientific Committee of the de Finetti Risk Seminars, we are glad to invite you to participate at the following Lecture DOMINANCE AND ELICITATION WITH IMPRECISE PROBABILITY [IP] THEORY Teddy Seidenfeld Carnegie Mellon LOCATION: The seminar will be held on Wednesday, April 15, at 18.00 at room 3-E4-SR03, Bocconi University, Via Rontgen 1, 3rd floor, Milano. A refreshment will be offered at 17.30. Scientific Committee: Prof. Marco Frittelli (Univ. degli Studi di Milano) Prof. Fabio Maccheroni (Univ. Bocconi) Prof. Massimo Marinacci (Univ. Bocconi) Prof. Emanuela Rosazza Gianin (Univ. Milano-Bicocca) Dott. Simone Cerreia-Voglio (Univ. Bocconi) Dott. Marco Maggis (Univ. degli Studi di Milano) **************************************************** Emanuela Rosazza Gianin Dipartimento di Statistica e Metodi Quantitativi Università di Milano Bicocca Edificio U7 – 4° Piano Via Bicocca degli Arcimboldi, 8 20126 Milano Tel. 02 64483208 Fax. 02 64483105 e-mail: emanuela.rosazza1(a)unimib.it *****************************************************

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Seminario MULANKSY (RGS & Matematica Applicata)
by Giacomo Aletti (giacomo.aletti) 13 Apr '15

13 Apr '15

Con preghiera di diffusione tra tutti i possibili interessati, scusandomi per invii multipli. Cordialmente, Giacomo Aletti ================= Nell'ambito dei Reading Group Seminars e del Seminario di Matematica Applicata, il giorno lunedì 20 Aprile 2015, alle ore 14.30, nell'Aula C del Dipartimento di Matematica dell'Universita' degli Studi di Milano, Via C. Saldini, 50, Milano, "Analyzing spike train synchrony" Mario Mulanksy, Istituto dei Sistemi Complessi, CNR, Firenze ABSTRACT: Understanding the details of information processing in the brain is one of the most challenging and exciting problems of our time. In this talk, I will introduce the field of spike train analysis and present mathematical tools to measure spike train synchrony. I will focus on time-resolved and parameter-free methods and discuss their properties and advantages. Finally, I will show applications to experimental and numerical results and provide perspective for future advancements.. ================= Reading Group Seminars: The Reading Group Seminars (RGS) are organized within an open community of researchers interested in applying up to date mathematical modeling and data analysis approaches to the study of biological systems. The RGS take place at the Math. Department in Milan (via Saldini). Initiatives and updates are published on the website: http://rgs.mat.unimi.it/.(http://rgs.mat.unimi.it/) -- ------------------------------- Giacomo Aletti, Associate Professor ADAMSS Centre (ex MIRIAM) Advanced Applied Mathematical and Statistical Sciences Department of Mathematics (www.mat.unimi.it) Via Saldini, 50 20133 Milano, Italy Tel: +39-02-503.16158 Fax:+39-02-503.16090 Cell:+39-340-9739142

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