---------- Forwarded message ----------
Date: Fri, 4 Dec 2020 20:59:24 +0100
From: Paolo Falbo <paolo.falbo(a)unibs.it>
To: "Vargiolu, Tiziano" <vargiolu(a)math.unipd.it>
Subject: Webinar Ferrari G. - at UNIBS, Department of Economics and Management
Ciao Tiziano,
con preghiera di diffusione.
Un caro saluto,
Paolo
*****
Dear friends,
on December 15th, 2020 - 14:30 (cet)
within the Research Seminars of DEM, it will take place the following
webinar:
Taming the spread of an epidemics by lockdown policies
presented by Prof. Ferrari Giorgio, Bielefeld University and organized by
Prof. Paolo Falbo
Abstract
In this talk we consider the problem of a policymaker who aims at taming the
spread of an epidemic while minimizing its associated social costs. The main
feature of our model lies in the fact that the disease's transmission rate
is a diffusive stochastic process whose trend can be adjusted via costly
confinement policies. We provide a complete theoretical analysis, as well as
numerical experiments illustrating the structure of the optimal lockdown
policy. In all our experiments the latter is characterized by three distinct
periods: the epidemic is first let freely evolve, then vigorously tamed, and
finally a less stringent containment should be adopted. Moreover, the
optimal containment policy is such that the product "reproduction number x
percentage of susceptible" is kept after a certain date strictly below the
critical level of one, although the reproduction number is let oscillate
above one in the last more relaxed phase of lockdown. Finally, an increase
in the fluctuations of the transmission rate is shown to give rise to an
earlier beginning of the optimal lockdown policy, which is also diluted over
a longer period of time. The seminar is based on a joint work with Salvatore
Federico (University of Genova).
Live presentation on: Google Meet.
To participate, registration is required by 14 December 2020 at 12:00, by
filling out the following form: https://forms.gle/VLejKcTxPHYdRXZ99
Subscribers will be emailed the link to the webinar meeting.
The poster of the event is attached.
Informativa sulla Privacy: http://www.unibs.it/node/8155
-------- Forwarded Message --------
Subject: CENTRO DE GIORGI -- JUNIOR VISITING POSITIONS -- 5 two-year
long post-doc research positions 2021 - 2023
Date: Wed, 2 Dec 2020 20:00:57 +0100
From: CRM <crm(a)sns.it>
To: CRM <crm(a)sns.it>
Dear Colleague,
I would be grateful if you could bring to the attention of your best
postgraduate students and PhD holders that *five **two-year long
post-doc research positions* named *Junior Visiting Positions* are
available at the *Centro De Giorgi - Scuola Normale Superiore,
Pisa* covering the following subjects:
Position n. 1: Algebraic Geometry and//or Number Theory
Position n. 2: Topology, Differential Geometry and//or Geometric Analysis
Position n. 3: Partial Differential Equations and//or Probability
Position n. 4: Numerical Analysis and//or Financial Mathematics
Position n. 5: Dynamical Systems
PhD students can also apply, provided that they obtain their PhD no
later than October 1st 2021.
Deadline for application: *12th January 2021 (11.59 PM Italian time)*.
The total two-year gross remuneration, inclusive of all taxes, is €
66,590.00 for each contract, corresponding to a monthly salary of
approximately 2,000 Euros. An additional yearly research allowance of
1,000 Euros for exchange visits is also provided.
*Starting date: October 2021*
The Mathjobs announcement is available here:
*https://www.mathjobs.org/jobs/1548*
To submit applications please link to the *ANNOUNCEMENT* at
*https://amministrazionetrasparente.sns.it/bando/assegni-di-ricerca-denominati-%E2%80%9Cjunior-visiting-position%E2%80%9D-research-positions-named-%E2%80%9Cjunior-visiting-positions%E2%80%9D-0*
and read the *OFFICIAL CALL*
*https://amministrazionetrasparente.sns.it/sites/default/files/bandi/assegniricerca/anno2020/586call.pdf*
Applicants must submit their applications *SOLELY* by using the on-line
procedure "SerSe" (https://serse.sns.it/en/) <https://serse.sns.it/en/>
available on the Scuola Normale Superiore website and fulfill ALL the
tender's requirements. *No other submission method will be accepted.*
For any question related to the on-line procedure or any additional
information e-mail *job.opportunities(a)sns.it
<mailto:job.opportunities@sns.it>*.
Best regards,
Stefano Marmi
________________________
Scuola Normale Superiore and
Centro di Ricerca Matematica
Ennio De Giorgi
Palazzo Puteano
Piazza dei Cavalieri 3
56100 PISA
_________________________
/Hosting thousands visitors every year, since its foundation in 2001 the
Centro di Ricerca Matematica Ennio De Giorgi provides a thriving
international and interdisciplinary research environment and Junior
Visitors can take part in a great variety of scientific activities
including intensive research periods, workshops and seminars, and have a
unique opportunity to interact with top-class scientists./
/(http://crm.sns.it)/
/. /
Dear All,
I inform that on December 18, 2020, the
*Remote 2nd One-Day Workshop on Machine Learning for Finance*
will be streamed via the Zoom platform offered by the Department of
Economics of the Ca' Foscari University.
For receiving the meeting’s address, ID and passcode, it is necessary to
communicate the email address of the attendee to the email address
corazza(a)unive.it.
Below, a tentative program of the workshop.
*MORNING*
- 09:50-10:00: Openings
- 10:00-10:30: E. Vittori, M. Trapletti, M. Restelli: "Option hedging with
risk averse Reinforcement Learning"
- 10:30-11:00: G. Anese, M. Corazza, M. Costola, L. Pelizzon: "Impact of
market sentiment on stock return and volatility"
- 11:00-11:30: E. Barucci, M. Bonollo, F. Poli, E. Rroji: "A machine
learning algorithm for stock picking built on information based outliers"
- 11:30-11:45: Break
- 11:45-12:15: I. Kyriakou, P. Mousavi, J.P. Nielsen, M. Scholz:
"Short-term exuberance and long-term stability: A simultaneous optimisation
of stock return predictions for short and long horizons"
- 12:15-12:45: A. Flori, D. Regoli: "Revealing pairs-trading opportunities
with Long Short-Term Memory Networks"
- 12:45-14:15: Break
*AFTERNOON*
- 14:15-14:45: M. Azzone, E. Barucci, G. Giuffra, D. Marazzina: "A Machine
Learning model for lapse prediction in life insurance contracts"
- 14:45-15:15: Oleksandr Castello, M. Resta: "Parsimonious yield curve
models on the trial: An application to BRICs countries"
- 15:15-15:45: G. Amici, M. Bianchetti, F. Brina, B. Lari, M. Mezzetti, A.
Peroni, P. Rossi: "Deep Learning from market data"
- 15:45-16:00: Break
- 16:00-16:30: L. W. Cong, K. Tang: "AlphaPortfolio: Single-step portfolio
construction through Reinforcement Learning and economically interpretable
AI"
- 16:30-17:00: E. Vittori, M. Bernasconi, F. Trovò, M. Restelli: "Dealing
with transaction costs in portfolio optimization: Online gradient descent
with momentum"
- 17:00-17:30: G. di Tollo, J. Andria, S. Ghilardi: "Gender analysis and
attention to gender: An experimental framework"
- 17:30-17:40: Closings
Best regards,
Marco Corazza
--
Marco Corazza, Ph.D.
Department of Economics - Ca' Foscari University of Venice
San Giobbe, Cannaregio 873 - 30121 Venezia, Italy
Mobile: (+39) 366 602-9134
Phone: (+39) 041 234-6921
Fax: (+39) 041 234-7444
E-mail: corazza(a)unive.it
Editor-in-Chief: Mathematical Methods in Economics and Finance -
www.unive.it/m2ef
---------- Forwarded message ---------
Da: BERNARDO D AURIA . <bdauria(a)est-econ.uc3m.es>
Date: lun 30 nov 2020 alle ore 09:24
Subject: Annuncio seminario presso la Universitá Carlos III di Madrid
Good morning to everybody,
I would like to inform you of an online Research Seminar scheduled for this
Friday at the Department of Statistics of the Madrid University Carlos III:
*Date*: Friday, December 4
*Time*: 1:00 p.m.
*Speaker*: Tiziano de Angelis (Università di Torino)
*Title*: *An analytical study of participating policies with minimum
guaranteed and surrender option*
The link to attend through the BB Collaborate platform is:
https://eu.bbcollab.com/guest/b1b6ef4d6f734be7bc233c49ceefe5f8
For more information on this and other Department seminars please look at:
http://www.est.uc3m.es/seminarios/
Regards
Bernardo D'Auria
Associate Professor
Madrid University Carlos III de Madrid
http://www.est.uc3m.es/bdauria
📞 +34 91 624 8804
📠 +34 91 624 8749
Dear all,
we are glad to inform you that submissions for the Special Issue
"Stochastic Optimization Methods in Economics, Finance and Insurance"
on Mathematics (https://www.mdpi.com/journal/mathematics) are open.
The following is the official website:
https://www.mdpi.com/journal/mathematics/sections/financial_mathematics
Research articles, reviews, communications and concept papers will be
considered.
The deadline is now postponed to 30 April 2021.
Since Mathematics is an open access journal, there is a fee (1200 CHF)
to be paid at acceptance.
Short description of the Special Issue:
Stochastic optimization finds numerous and various applications in
economics, finance and insurance. Among these, we may cite optimal
portfolio selection, optimal reinsurance and investment problems,
utility maximization and application to valuation of financial and
insurance derivatives, optimal management of pension fund and public
debt, risk measures. This Special Issue aims at collecting original
research papers or comprehensive reviews on the theory and
applications of dynamic stochastic optimization in economics, finance
and insurance. Advanced mathematical tools have been employed to
handle with these problems including viscosity solutions approach,
martingale methods, backward stochastic differential equations
(BSDEs), partial differential equations (PDEs), convex duality,
filtering techniques and various numerical methods. Applications
different from stochastic optimization will be possibly considered.
If you have any questions, please do not hesitate to contact us.
Please apologize for cross-posting.
Guest Editor: Prof. Claudia Ceci
Co-Guest Editor: Dr. Matteo Brachetta
Dear All,
please find below an advertisement for a tenure-track position at the
Assistant Professor level in Stochastics at The DEPARTMENT OF INDUSTRIAL
ENGINEERING & OPERATIONS RESEARCH (IEOR) at the University of
California, Berkeley.
All the best wishes,
Giorgio Ferrari
%%%%%%%%%%%%%%%%%%%%%%%
*Advertisement 8/31/20*
The DEPARTMENT OF INDUSTRIAL ENGINEERING & OPERATIONS RESEARCH (IEOR) at
the University of California, Berkeley, welcomes applications from
qualified researchers for a position in the broad area of stochastics,
with research interests in topics such as probability,
machine learning, stochastics modeling, financial engineering and
technology, and data science, for a *tenure-track faculty position at
the Assistant Professor level* with an expected start date of July 1,
2021. Applicants are encouraged to apply by October 15, 2020, as the
department intends to invite some applicants for initial
remote/videoconference interviews on a rolling basis before the final
deadline of December 1, 2020.
*All applications received by December 1 will receive full consideration.*
The UC Berkeley Industrial Engineering and Operations Research
Department is at the forefront of research and teaching of stochastics,
optimization, production, and applying these fundamentals to industrial
applications in areas such as healthcare, logistics, energy, security,
finance, and e- commerce. The IEOR Department has strong ties with other
departments in the UC Berkeley College of Engineering and enjoys close
relationships with the faculties of Statistics, Mathematics, and
Economics, as well as with the Haas School of Business. Our
interdisciplinary program also offers outstanding opportunities for
collaboration with technologists and companies in the greater Bay Area.
The IEOR department offers BA, BS, MS, MEng, and PhD degrees. To learn
more about our department please visit
https://ieor.berkeley.edu.
This exceptional environment for teaching and research will provide the
successful candidate with unique opportunities for intellectual and
technological leadership.
Diversity, equity, and inclusion are core values at UC Berkeley and
IEOR. Our excellence can only be fully realized by faculty, students,
and staff who share our commitment to these values. Successful
candidates for our faculty positions will demonstrate evidence of a
commitment to advancing equity and inclusion. Financial and in-kind
resources are available to pursue activities that help accelerate our
efforts to achieve our equity and inclusion goals, with the full backing
of the College. Examples of ongoing programming at the College are
available at https://engineering.berkeley.edu/diversity.
_Candidates with the following qualifications are encouraged to apply_:
- Excellent original research in relevant topics
- Clear vision for future original research in relevant topics
- Ability and enthusiasm for teaching relevant courses
- Excellent communication skills and enthusiasm for advancing diversity
and collaboration.
At the time application, applicants must have completed or, be in the
process of completing a PhD or an equivalent international degree. The
ideal candidate will have a record of excellent original research in
relevant areas and experience with state-of-the-art methods, tools, and
software. The ideal candidate will also be able to make a convincing
case for his or her vision for future innovations in research and
teaching, as well as have the enthusiasm and ability to work with
industry and colleagues to raise funds to support such research.
*Qualified candidates may apply using the following link:*
https://aprecruit.berkeley.edu/JPF02652.
All recommendation letters will be treated as confidential per
University of California policy and California state law. Please refer
potential referees, including when letters are provided via a third
party (i.e., dossier service or career
center), to the UC statement on confidentiality
(http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.
*The deadline for applications is December 1, 2020. *
Candidates will be reviewed on an ongoing basis, and early application
is recommended. _For questions regarding this position, please contact
IEOR manager:_
Rebecca Pauling, rpauling(a)berkeley.edu
The University is committed to addressing the family needs of faculty
members, including dual career couples and single parents. For
information about potential relocation to Berkeley, or career needs of
accompanying partners and spouses, please visit:
http://ofew.berkeley.edu/new-faculty.
The University of California is an Equal Opportunity/Affirmative Action
Employer. All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, sexual
orientation, gender identity, national origin, disability, age or
protected veteran status. For the complete University of California
nondiscrimination and affirmative action policy see:
http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct (link is external).
---------- Forwarded message ---------
Da: Martin Lopez Garcia <M.LopezGarcia(a)leeds.ac.uk>
Subject: 1-year postdoc positions at Leeds
Dear colleagues,
Hope you are all well.
We are looking for two postdoctoral fellows at Leeds to do some modelling
of COVID-19 infection transmission, using Quantitative Microbial Risk
Assessment approaches. More information about these projects/positions can
be found at
https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCV1024
I would appreciate if you could circulate this around, or share with
potential candidates you may think of.
Thanks very much,
Best wishes,
Martin
-----------------------------------------------------------------------------------------------------
Dr Martin Lopez-Garcia
Lecturer & School Academic Lead for Inclusive Practice
Department of Applied Mathematics (Office 10.18d),
School of Mathematics, University of Leeds
Leeds LS2 9JT, U.K.
Phone: +44 (0)113-343-8951
Email: M.LopezGarcia(a)leeds.ac.uk
Web: https://matml.github.io/
Google Scholar: https://scholar.google.com/citations?user=U4VkcxYAAAAJ&hl=es
Research Gate: https://www.researchgate.net/profile/Martin_Lopez-Garcia2
Have a look at the video games "Hospital Infections"
https://matml.github.io/#videogames
---------- Forwarded message ----------
Date: Tue, 24 Nov 2020 21:39:58 +0100
From: Paolo Falbo <paolo.falbo(a)unibs.it>
Dear All,
we are glad to announce the sixth edition of Energy Finance Italia. The
conference will be organized by the Department of Economics and Management
of the University of Brescia and will take place on February 22-23, 2021.
Due to the COVID-19 pandemic, at the moment we still cannot decide the
format of the conference, whether fully online or hybrid. In any case, we
will ta ke that decision in due time, and we will communicate it by means
of our web site and our newsletter.
The deadline for the submission of a long abstract (max two pages) is
January 18, 2021.
Notification of acceptance: January 28, 2021.
Registration and payment of fees: February 8, 2021.
All the information at the link
http://energyfinanceitalia.unicam.it/index.php/energy-finance-italia-6-work…
Best regards,
Paolo Falbo
on behalf of the Organizing Committee
Dear all,
please, circulate this call for papers, that can be of interest for some
colleagues. Sorry for cross-posting.
Thanks,
yours sincerely
Roy
%%%
Dear Colleagues,
We are glad to announce a “Stats” Special Issue on “Benford's Law(s) and
Applications”. We are
inviting manuscripts on Benford's Law(s) theory, testing, and applications
in widely different
scientific contexts. Suitable manuscripts may include but are not limited
to the Benford's Law(s) for
fraud detection and assessment of data quality and reliability; conformance
tests; applications in
and outside accounting; theoretical foundations. The purpose of this
Special Issue is to collect in a
single source, for better visibility, recent theoretical and applied
advancements in a still progressing
field.
Keywords
• Benford's Law(s)
• Theoretical foundations of Benford's Law(s)
• Fraud detection
• Data quality and reliability
• Conformance tests
• Forensic accounting
The deadline is October 30th, 2021.
For details, see
https://www.mdpi.com/journal/stats/special_issues/benford_law
We look forward to receiving your submissions.
Prof. Dr. Claudio Lupi
Prof. Dr. Roy Cerqueti
Prof. Dr. Marcel Ausloos
Guest Editors
--
________________________________________________________
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