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Junior Professorship (W1) at the Universty of Munich (Germany) (fwd)
by Tiziano Vargiolu 22 Mar '16

22 Mar '16

---------- Forwarded message ---------- Date: Tue, 22 Mar 2016 10:01:29 +0100 (CET) From: Francesca Biagini <biagini(a)mathematik.uni-muenchen.de> Subject: Junior Professorship (W1) at the Universty of Munich (Germany) (fwd) ****************************** The Faculty of Mathematics, Informatics and Statistics of the University of Munich invites applications for a Junior Professorship (W1) (for a period of 3 years) of Stochastic Methods in Financial and Insurance Sciences commencing as soon as possible. The primary tasks of the successful candidate include active research and teaching in the field of Financial and Insurance Mathematics / Stochastics. Applicants are expected to participate actively in research and teaching at the Institute of Mathematics. In particular, they should be able to teach all courses in Financial Mathematics / Stochastics of the Bachelor-/Master Program in Mathematics and Financial Mathematics. Prerequisites for this position are a university degree, teaching skills at university level and an aptitude for an academic career, usually evidenced by the excellent quality of a doctoral degree. If the applicant was employed as a research assistant either before or after obtaining the doctoral degree, the entire duration of the period of employment and of the doctoral degree should not exceed six years. The position is a fixed-term professorship for the duration of three years. Pending a positive evaluation, the position may be extended by another period of three years. A conversion to an indefinite position (tenure track) is not possible. LMU Munich makes a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples. LMU Munich is an equal opportunity employer. The University continues to be very successful in increasing the number of female faculty members and strongly encourages applications from female candidates. LMU Munich intends to enhance the diversity of its faculty members. Furthermore, disabled candidates with essentially equal qualifications will be given preference. Please submit your application comprising a curriculum vitae, documentation of academic degrees and certificates as well as a list of publications under the keyword ?math9? to the Dean of the Faculty of Mathematics, Informatics and Statistics, Prof. Dr. Andreas Rosenschon, Theresienstra?e 39, 80333 Munich, Germany, no later than April 21, 2016. Please mail the application also electronically to dekanat16(a)lmu.de as one pdf-file not greater than 10 MB. For further information you can contact Prof. Francesca Biagini, biagini(a)math.lmu.de.

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Fwd: Reminder 3rd Barcelona Summer School on Stochastic Analysis: A 2016 EMS Summer School
by Marco Romito 21 Mar '16

21 Mar '16

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Fwd: ETH Post-doc
by Giovanni Puccetti 21 Mar '16

21 Mar '16

Begin forwarded message: > > From: Embrechts Paul <paul.embrechts(a)math.ethz.ch> > Subject: ETH Post-doc > Date: 18 Mar 2016 14:36:37 CET > To: Embrechts Paul > > Dear colleagues, > I would be most grateful if you could bring the ETH Risk Center post doc position below to the attention of possible candidates. > Bruno Sudret and I are jointly involved in the supervision and am convinced that the project holds great promise. > The main theme is high-dimensional dependence modeling with engineering applications; for application details, see > > https://apply.refline.ch/845721/4353/pub/7/index.html > > Please feel free to pass on the announcement to other copula-loving colleagues! > Kind regards, > Paul. > PS Sorry for the possible double-mailing. >

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conference statistical mechanics Nantes, June 10
by Niccolo Torri 18 Mar '16

18 Mar '16

Dear Colleagues, This is the first announcement for the conference on: MODELISATION PROBABILISTE DU COMPORTEMENT DE GRANDS SYSTEMES PHYSIQUES which will be held on Friday, June 10, 2016, in Nantes. The conference will focus on statistical mechanics and the speakers will present some of their most recent contributions to various topics as Polymer models, Random walk in Random environment, Dimer Models, Random Graph. The conference is hosted by the Cité Internationale des Congrés as part of the Journées Scientifiques de l'Université de Nantes. Confirmed speakers : Frank den Hollander, Poquet Christophe, Benoît Laslier, Laurent Tournier, Paolo Milanesi A detailed program is available here: http://www.math.sciences.univ-nantes.fr/~torri/JS_NANTES_Proba.pdf The conference is free and open to all, but the registration is *mandatory* (we have only a limited number of places: 30). Please use the on-line form http://inscriptions.js.univ-nantes.fr/?id=CL09 For further informations http://www.math.sciences.univ-nantes.fr/~torri/JS_Nantes.html Nicolas Pétrélis, Niccolò Torri, Philippe Carmona

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de Finetti risk seminar - April 2016
by Emanuela Rosazza 18 Mar '16

18 Mar '16

On behalf of the Scientific Committee of the de Finetti Risk Seminars, we are glad to invite you to participate at the following Lecture Curtis Lee Smith Idaho National Laboratory Title to be announced LOCATION: The seminar will be held on Wednesday, April 6, 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. Simone Cerreia-Voglio (Univ. Bocconi) 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. 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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Corso di Storia della Probabilità a Pavia
by Antonio Lijoi 17 Mar '16

17 Mar '16

Nell'ambito delle attivita' del Dottorato di Ricerca in Matematica (Universita' di Pavia - Universita' di Milano Bicocca - INdAM), il prof. Eugenio Regazzini terra' il corso ** History of Probability in the First Half of XX Century ** Le lezioni (30 ore complessive) si terranno presso il Dipartimento di Matematica "F. Casorati" dell'Universita' di Pavia, ogni giovedi' e venerdi' dalle 10:00 alle 13:00, a partire dal 14 aprile. Per ulteriori informazioni e' possibile contattare il docente via email: eugenio.regazzini(a)unipv.it ** Descrizione del corso ** The first half of the last century has been a formidable period for the development of probability and its applications. In point of fact, during its course a number of open problems found a definitive answer and, at the same time, sound bases towards new important achievements were established. The method adopted in the present course in order to illustrate the advance of probability consists in analyzing the most original and streamlined lines of reasoning to prove a certain number of theorems generally seen as determining the magnificence of modern probability. Since the aforesaid progress has been made possible even by the axiomatization of probability, the first part of the course will be devoted to this subject, drawing particular attention to the foundational work of A. N. Kolmogorov (1933) and B. de Finetti (1931). The second part will deal with distinguished versions of the strong law of large number, starting from E. Borel (1909) and F.P. Cantelli (1917), to get at the general formulation from the Soviet School (Kolmogorov, A. Khinchin, etc.). In the case of stochastic independence, their extensions to exchangeable random elements (de Finetti), and more general stationary sequences (ergodic theorem of von Neumann and Birkhoff) will be displayed and discussed. In this very same part, the role played by stable and infinitely divisible laws to solve the central limit problem (P. Lévy, Khinchin, W. Doeblin, B. Gnedenko) will be emphasized. The last part will be devoted to the birth of the theory of stochastic processes, starting from the works of Kolmogorov (1929) on Markov processes, de Finetti (1929 -1933) and Lévy (1934-1935) on random functions with independent increments, Lévy (1935-1937) and J. Doob (1940) on martingales. This last part will end with an outline to the methods devised in the fifties to study convergence in law of stochastic processes.

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Assistant position, TU Graz, Austria
by Fabio Zucca 12 Mar '16

12 Mar '16

Cari tutti, ricevo e volentieri inoltro, scusandomi in anticipo con chi l'avesse per caso già ricevuto. Fabio Zucca --------------------------------- Open position - Assistant Professor with PhD for 6 years Graz University of Technology Institute of Discrete Mathematics Working Group Structure Theory and Stochastics Starting date: October 1st 2016. Requirements: PhD or equivalent university degree in Mathematics or Technical Mathematics, awarded before the beginning of the engagement. Desired qualifications: scientific work in the fields of Stochastic Processes (random walks), Graph Theory, Geometric Group Theory, possibly combining those topics. Readiness to collaborate in research projects in these areas. Teaching duties of at least 4 hours per week per semester, in particular for Mathematics in the Engineering sciences, in German (!). Deadline for applications: May 31, 2016. For details regarding position and applications, see http://www.math.tu-graz.ac.at/~woess/position Graz, March 2016, Wolfgang Woess _______________________________________________

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Half day in stochastic processes and mathematical finance
by Tiziano Vargiolu 11 Mar '16

11 Mar '16

It is a pleasure to announce that on March, 14 in Room 2BC/30 of the Department of Mathematics at the University of Padova (via Trieste, 63) there will be two seminars and the discussion of a PhD thesis. The plan of the morning is as follows: 10am Prof. Carlo Sgarra (Politecnico di Milano): "American options valuation in stochastic volatility models with transaction costs" (joint with A. Cosso and D. Marazzina) 11am Prof Fausto Gozzi (LUISS Roma): "HJB equations for stochastic control problems with delay in the control: regularity and feedback controls" (joint with Federica Masiero) 12am Dr Matteo Basei will defense his PhD thesis titled "Topics in stochastic control and differential game theory, with application to mathematical finance" Here below the abstracts of the presentations. ABSTRACT SGARRA In the present paper we analyze the American option valuation problem in a stochastic volatility model when transaction costs are taken into account. We shall show that it can be formulated as a singular stochastic optimal control problem, proving the existence and uniqueness of the viscosity solution for the associated Hamilton-Jacobi-Bellman partial differential equation. Moreover, after performing a dimensionality reduction through a suitable choice of the Utility Function, we shall provide a numerical example illustrating how American options prices can be computed in the present modeling framework. ABSTRACT GOZZI Stochastic optimal control problems governed by delay equations with delay in the control are usually more difficult to study than the the ones when the delay appears only in the state. This is particularly true when we look at the associated Hamilton-Jacobi-Bellman (HJB) equation. Indeed, even in the simplified setting (introduced first by Vinter and Kwong [44] for the deterministic case) the HJB equation is an infinite dimensional second order semilinear Partial Differential Equation (PDE) that does not satisfy the so-called "structure condition" which substantially means that "the noise enters the system with the control". The absence of such condition, together with the lack of smoothing properties which is a common feature of problems with delay, prevents the use of the known techniques (based on Backward Stochastic Differential Equations (BSDEs) or on the smoothing properties of the linear part) to prove the existence of regular solutions of this HJB equation and so no results on this direction have been proved till now. In this paper we provide a result on existence of regular solutions of such kind of HJB equations and we use it to solve completely the corresponding control problem finding optimal feedback controls also in the more difficult case of pointwise delay. The main tool used is a partial smoothing property that we prove for the transition semigroup associated to the uncontrolled problem. Such results hold for a specific class of equations and data which arises naturally in many applied problems. ABSTRACT BASEI: We consider three problems in stochastic control and differential game theory, arising from practical situations in mathematical finance and energy markets. First, we address the problem of optimally exercising swing contracts in energy markets. Our main result consists in characterizing the value function as the unique viscosity solution of a Hamilton-Jacobi-Bellman equation. The case of contracts with penalties is straightforward. Conversely, the case of contracts with strict constraints gives rise to stochastic control problems where a non-standard integral constraint is present: we get the anticipated characterization by considering a suitable sequence of unconstrained problems. The approximation result is proved for a general class of problems with an integral constraint on the controls. Then, we consider a retailer who has to decide when and how to intervene and adjust the price of the energy he sells, in order to maximize his earnings. The intervention costs can be either fixed or depending on the market share. In the first case, we get a standard impulsive control problem and we characterize the value function and the optimal price policy. In the second case, classical theory cannot be applied, due to the singularities of the penalty function; we then outline an approximation argument and we finally consider stronger conditions on the controls to characterize the optimal policy. Finally, we focus on a general class of non-zero-sum stochastic differential games with impulse controls. After defining a rigorous framework for such problems, we prove a verification theorem: if a couple of functions is regular enough and satisfies a suitable system of quasi-variational inequalities, it coincides with the value functions of the problem and a characterization of the Nash equilibria is possible. We conclude by a detailed example: we investigate the existence of equilibria in the case where two countries, with different goals, can affect the exchange rate between the corresponding currencies. Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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Prof. Nils Hjort PhD short course on Confidence distributions
by Andrea Ongaro 10 Mar '16

10 Mar '16

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seminar announcement
by Marco Scarsini 10 Mar '16

10 Mar '16

SEMINAR IN DECISION SCIENCES DEPARTMENT OF ECONOMICS AND FINANCE March 15th from 14:30 to 15:30 in room 204 LUISS Viale Romania 32 00197 Roma (note the change of time and room) Title of the talk: Asymptotic Lower Bounds for Optimal Tracking: a Linear Programming Approach Speaker: Peter Tankov (Universite Paris Diderot -- Paris 7) Abstract We consider the problem of tracking a target whose dynamics is modeled by a continuous Ito semi-martingale. The aim is to minimize both deviation from the target and tracking efforts. We establish the existence of asymptotic lower bounds for this problem, depending on the cost structure. These lower bounds can be related to the time-average control of Brownian motion, which is characterized as a deterministic linear programming problem. A comprehensive list of examples with explicit expressions for the lower bounds is provided. Joint work with Jiatu Cai and Mathieu Resenbaum paper available at http://arxiv.org/abs/1510.04295 ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza LUISS Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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