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Fwd: Two postdoc positions in Roma Tre
by Pietro Caputo 28 Feb '17

28 Feb '17

ricevo e inoltro: ---------- Forwarded message ---------- From: <giuliani(a)mat.uniroma3.it> Date: Tue, Feb 21, 2017 at 2:16 PM Subject: Two postdoc positions in Roma Tre To: giuliani(a)mat.uniroma3.it Dear Colleague, I would like to draw your attention to two 2-years postdoc position in mathematical physics within the project "Universality in Condensed Matter and Statistical Mechanics", funded by an ERC Consolidator Grant (PI: Alessandro Giuliani). Interested candidates should have a strong background in the mathematics of quantum or classical statistical mechanics. The successful applicant will be expected to work on problems related to scaling limits in 2D systems at the critical point, broken phases in systems with continuous symmetry, quantum transport in interacting systems. The appointments are for two years, starting in September 2017 or earlier (we invite applications by March 22, 2017; the call will remain open until the two positions are filled). The position is based at the Department of Mathematics of the University of Roma Tre. It comes with no teaching duties and with traveling funds to attend conferences and workshops. A full description of the project and the position, including details about how to apply can be found on the web page of the project: http://www.mat.uniroma3.it/users/giuliani/public_html/erc_CoG/index.html I would be grateful if you could bring this advertisement to any interested candidate. Thank you in advance, With best regards, Alessandro Giuliani

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seminario Marcello Restelli in Bicocca
by Fabio Bellini 28 Feb '17

28 Feb '17

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Seminario Maren Schmeck a Padova
by Tiziano Vargiolu 27 Feb '17

27 Feb '17

Carissimi, il giorno martedi' 28 febbraio alle ore 15 presso il Dipartimento di Matematica dell'Universita' di Padova, via Trieste 63, sala Riunioni VII piano, la dott.ssa Maren Diane Schmeck dell'Universita' di Colonia terra' un seminario dal titolo ELECTRICITY PRICE MODELING WITH STOCHASTIC TIME CHANGE (joint with SVETLANA BOROVKOVA (VU AMSTERDAM)) ABSTRACT. In this paper, we develop a novel approach to electricity price modeling, based on the powerful technique of stochastic time change. This technique allows us to incorporate the characteristic features of electricity prices (such as seasonal volatility, time varying mean reversion and seasonally occurring price spikes) into the model in an elegant and economically justifiable way. The stochastic time change introduces stochastic as well as deterministic (e.g., seasonal) features in the price process? volatility and in the jump component. We specify the base process as a mean reverting jump diffusion and the time change as an absolutely continuous stochastic process with seasonal component. The activity rate of the stochastic time change can be related to the factors that influence supply and demand. Here we use the temperature as a proxy for the demand and hence, as the driving factor of the stochastic time change, and show that this choice leads to realistic price paths. We derive properties of the resulting price process and develop the model calibration procedure. We calibrate the model to the historical EEX power prices and apply it to generating realistic price paths by Monte Carlo simulations. We show that the simulated price process matches the distributional characteristics of the observed electricity prices in periods of both high and low demand. Cordiali saluti a tutti 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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Fwd: Postdoc-position in Stochastic Analysis at the University of Oslo
by Tiziano Vargiolu 27 Feb '17

27 Feb '17

---------- Forwarded message ---------- Date: Sun, 26 Feb 2017 18:35:01 +0100 From: Giulia Di Nunno <giulian(a)math.uio.no> To: Tiziano Vargiolu <vargiolu(a)math.unipd.it> Cc: Giulia Di Nunno <giulian(a)math.uio.no> Subject: Fwd: Postdoc-position in Stochastic Analysis at the University of Oslo Dear Tiziano,could you please help circulate this info. Thank you in advance, Giulia Begin forwarded message: From: Bernt ?ksendal <oksendal(a)math.uio.no> Subject: Postdoc-position in Stochastic Analysis at the University of Oslo Date: 21 February 2017 at 12:15:46 GMT+1 Dear All; The new postdoc position in stochastic analysis at the University of Oslo has just been announced. The deadline is 31 March 2017. For more information see https://www.jobbnorge.no/ledige-stillinger/stilling/134569/postdoctoral-res earch-fellowship-in-stochastic-analysis Please help to distribute this to anyone interested :-) Best wishes, Bernt Professor Emeritus Bernt ?ksendal Department of Mathematics, University of Oslo, Box 1053 Blindern, N-0316 Oslo, Norway. Home page: http://www.mn.uio.no/math/english/people/aca/oksendal/index.html Email: oksendal(a)math.uio.no

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Second Announcement: Stochastic Analysis Day, Pisa, Monday, February 27
by Carina Geldhauser 24 Feb '17

24 Feb '17

Stochastic Analysis Day 2017 The Stochastic Analysis Day 2017 will take place on Monday, February 27 at the Department of Mathematics of the University of Pisa. Speakers: * J.C. Alfonso Lopez (Braunschweig) * L.Bianchi (Berlin) * T. Funaki (Tokyo) * C. Geldhauser (Pisa) * H. Hatzikirou (Braunschweig) *M. Maurelli (Berlin) More information can be found on the website http://www.dm.unipi.it/pages/romito/SPASS/workshop/20170227/ Registration is not obligatory, but highly recommended for organizational purposes. To register, please contact the organizers.

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ARPM job offer
by Elisa Appolloni 23 Feb '17

23 Feb '17

Dear all, I am reaching out to you because at ARPM (the company for which I work) we are looking to add new resources for our Advanced Risk and Portfolio Management program. Would you mind circulating the message below to interested and qualified candidates? Thank you, Elisa Appolloni *** *The firm* ARPM – Advanced Risk and Portfolio Management <https://www.arpm.co/> is a privately held research institution, directed by Attilio Meucci, based in New York City with virtual offices world-wide. ARPM’s mission is to set and disseminate the standards for advanced quantitative risk management and portfolio management across the financial industry: asset management, banking, and insurance. *The opportunity * ARPM is looking for a new researcher-in-training for a minimum period of 6 months, indefinitely extensible. The successful candidate will review and code practical case studies and theoretical examples in quantitative finance, contributing to the ARPM Lab <https://www.arpm.co/lab/books.php?action=page&id=14>. The successful candidate will work full-time, remotely, constantly communicating via multi-media with the other members of ARPM. The ARPM researcher-in-training position represents a great opportunity for candidates with strong academic background, who wish to apply to real problems in finance the rigorous, research-oriented approach acquired in their schooling. *The progression* ARPM emphasizes the constant intellectual growth of its resources. For the first 6 months the researcher-in- training will be focused on specific projects. At the end of this period (s)he will conduct a presentation on the topics covered. Then, (s)he will start broadening his/her scope, attending the presentations of their peers and seniors, working on broader projects, and acquiring hands-on- knowledge of all the topics of the ARPM Lab <https://www.arpm.co/lab/books.php?action=page&id=14>. The approximate time required to attain the required level of familiarity with the ARPM Lab <https://www.arpm.co/lab/books.php?action=page&id=14> is: two years for a recent master’s graduate; one year for a recent PhD graduate. When ready, the researcher-in-training will be tested on all such topics with an exam. If successful, (s)he will conclude his/her training period, attaining the title of ARPM researcher. The ARPM researcher will then engage in highly quantitative projects with ARPM clients, becoming a profit center. *The candidate* [image: arrow_20]Master’s degree in mathematics, physics, engineering, computer science, statistics, data science, quantitative economics. [image: arrow_20]PhD in hard sciences or master’s degree in quantitative finance is a plus. [image: arrow_20]Very strong command of foundational mathematics, including multivariate calculus and linear algebra. [image: arrow_20]Good knowledge of statistics and probability. [image: arrow_20]Proficiency in MATLAB, Python, or similar programming languages. [image: arrow_20]Good command of English. *Compensation* Competitive For more information, please visit arpm.co <https://www.arpm.co/> and/or contact us at info(a)arpm.co <info(a)arpm.co?Subject=job%20Post> -- *ARPM <http://www.arpm.co/>** - Advanced Risk and Portfolio Management**®*

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seminar announcement --- prof Cont, LUISS
by Sara 21 Feb '17

21 Feb '17

Thursday 2nd March from 12.00 to 13.00 LUISS room 207 viale Romania 32 00197 Roma. Speaker: Rama Cont (Imperial College and CNRS) Title: Fire sales, price-mediated contagion and systemic risk -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli Address: viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

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Mini course in Verona - Simone Mattia Scotti: Real markets, microstructure, clusters and Hawkes with a Branching process point of view.
by Luca di persio 20 Feb '17

20 Feb '17

*Mini course announcement* Prof. Simone Mattia Scotti [ LPMA, Université Paris Diderot ] will give a mini course on *Real markets, microstructure, clusters and Hawkes with a Branching process point of view*, according with the following time table: 21st of March (2017) : Room I 1430-1730 23rd of March (2017) : Room M 1530-1730 24th of March (2017) : Room M 1430-1730 all the lessons will take place at the Dept. of Computer Science - UniVr Strada le Grazie, 15 - Verona Ca' Vignal located here https://goo.gl/maps/Yx2JU *Abstract and structure of the course* The analysis of real financial markets, along with the study of related economic time series, represents an increasing field of research and development of effective applications, from the stochastic processes point of views, as well as from the statistic and computational sides of the moon. In this mini-course, we first recall the classical framework behind the modern and mathematically rigorous, theory of finance, starting from the treatment of continuous-path stochastic processes. Then, we focus on the microstructure of market data, discussing both limit and market orders, along with correlated liquidity problems. In a second part, we will specialize our analysis on a particular feature of financial markets, namely the existence of jumps' cluster. It is worth to mention that the latter has been highlighted in recent literature in microstructure, showing to have a deep impact on real markets and representing a main research axis in the field. >From a mathematical point-of-view, we will first introduce point processes and then Hawkes processes. We will show that the self-exciting structure of Hawkes processes can easily explain some features exhibited by financial data, e.g. the cluster effects. In the third part, we will introduce the branching processes (CBI) showing that they can be seen as a natural extension (marked versions) of Hawkes processes. We will show that this class of models has very nice properties from computational as well as from analytical point of view, particularly by exploiting the Dawson-Li representation. Moreover, we will point out some unexpected features of the aforementioned approaches, such, e.g., the persistency of low interest rates and negative risk premium in electricity markets. A detailed bibliograpy will be given during the course. ___________ Do not hesitate to contact me for further details: luca.dipersio(a)univr.it LuCa -- __ Luca Di Persio - PhD assistant professor of Probability and Mathematical Finance Dept. Informatics University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 <+39%20045%20802%207968> Dept. Math University of Trento V. Sommarive, 14 - 38123 Povo - Italy Tel : +39 0461 281686 <+39%200461%20281686>

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Mini course in Verona - Adrian Zalinescu : Introduction to SPDEs with applications
by Luca di persio 18 Feb '17

18 Feb '17

*Mini course announcement* Prof. Adrian Zalinescu [ Universitatea Alexandru Ioan Cuza - Iaşi, Romania ] will give a mini course on *Introduction to Stochastic Partial Di fferential Equations* (with applications to Finance, Biology, etc.), according with the following calendar 13 - 20 - 27 of March (2017) time table: from 1430 to 1730 all the lessons will take place at the Dept. of Computer Science - UniVr Strada le Grazie, 15 - Verona Ca' Vignal 2, first floor , *Room M* located here https://goo.gl/maps/Yx2JU The* tentative programme* is the following: 1. *Gaussian measure theory* Random vectors and Bochner integral. Some elements of probability in in nite-dimensional spaces are considered, with emphasis on the integration of random vectors with values in separable Banach-spaces and in operator spaces. Gaussian measures. We introduce cylindrical Gaussian random variables and Hilbert-spacevalued Gaussian random variables and then de ne cylindrical Wiener processes and Q-Wiener processes (i.e. with the covariance given by the trace-class operator Q) in a natural way. Stochastic integral and Ito's formula. The stochastic integral is constructed with respect to a cylindrical Wiener process, then with respect to a Q-Wiener process, by extending the integral of elementary processes. Some properties of the stochastic integral are given, including Ito's formula. 2. *Stochastic Di erential Equations* Semigroup Theory. In this section we review the fundamentals of semigroup theory. Stochastic Convolutions and Linear SPDEs. We derive existence and uniqueness of di erent types of solutions for linear SDEs driven by generators of C0-semigroups. The method is based on the study of the stochastic convolution. Solutions by Variational Method. The purpose is to study solutions of nonlinear SPDEs, which are seen as evolution equations in a Gelfand triplet, under assumptions of compact embedding or monotone coe cients. 3. *Applications* Along the abstract study of SDEs in in nite-dimensional spaces, various examples of SPDEs with applications in physics, biology and mathematical finance will be given. A detailed bibliograpy will be given during the course. ___________ Do not hesitate to contact me for further details: luca.dipersio(a)univr.it LuCa __ Luca Di Persio - PhD assistant professor of Probability and Mathematical Finance Dept. Informatics University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 Dept. Math University of Trento V. Sommarive, 14 - 38123 Povo - Italy Tel : +39 0461 281686

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Seminar announcement
by Marco Scarsini 17 Feb '17

17 Feb '17

Thursday 23 February from 12.00 to 13.00 LUISS room 207 viale Romania 32 00197 Roma. *Speaker:* Bruno Ziliotto (CNRS) *Title:* In zero-sum stochastic games, the payoff is constant *Abstract*: In a zero-sum stochastic game, at each stage, two adversary players take decisions and receive a stage payoff determined by these actions and by a random variable called state of nature. The total payoff is the discounted sum of the stage payoffs. Assume that players are very patient and use optimal strategies. We then prove that at any point in the game, players get essentially the same payoff: the payoff is constant. No game theory prerequisite of any kind is needed to understand this talk. (joint work with Miquel Oliu Barton) ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza LUISS Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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