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Special Issue Applied Stochastic Models in Business and Industry
by Carlo Sgarra 20 Mar '23

20 Mar '23

Dear members of the Random list, As already anticipated, the journal of ISBIS (International Society for Business and Industrial Statistics), Applied Stochastic Models in Business and Industry (ASMBI), is inviting contributions for a special issue devoted to: “Energy Finance & Climate Change” Deadline: 30 June 2023 As it is mentioned in the call for papers, this special issue aims at collecting high-quality contributions on a wide range of theoretical and applied topics in energy finance and climate change, such as (but not limited to): Energy and climate data science, Energy forecasting, Energy innovations, Energy markets, Energy analytics, Energy mix and carbon emission trading, ESG, Green finance & financing energy infrastructure, Climate policy and risk, Climate change & market efficiency, Climate change & pricing uncertainty, Regulation and regulatory risk, Renewable sources, Risk measurement and management, Storage devices, Sustainable finance. Contributions from multiple areas are welcome, and they might range from more exquisitely technical aspects of modeling to the practical implications of the actual uncertainties on the energy market recent developments, highlighting their innovative applications in an ever evolving complex environment. The displayed models, the computational techniques and the data methodologies can rely on stochastic processes, statistical analysis, time series forecasting, derivative pricing and hedging, machine learning, Monte Carlo simulations, data mining, risk estimation and management, and related tools. Papers should present innovative methodologies and/or forceful applications of existing methods. All submissions will go through the standard, selective review process of ASMBI via https://wiley.atyponrex.com/journal/ASMB<https://wiley.atyponrex.com/journal/ASMB%20is%2030%20June%202023>. Please follow the ASMBI author submission guidelines given on the ASMBI website and click on the box about submissions for special issues, selecting "Energy Finance” when prompted. The Guest Editors of the special issue are: - Roberto Baviera (roberto.baviera(a)polimi.it), - Carlo Sgarra (carlo.sgarra(a)polimi.it), - Tiziano Vargiolu (vargiolu(a)math.unipd.it), - Rituparna Sen (rsen(a)isichennai.res.in). For any information about ASMBI, please contact its Editor-in-Chief, Fabrizio Ruggeri (fabrizio(a)mi.imati.cnr.it). Waiting for your contribution The Guest Editors: Roberto Baviera, Rituparna Sen, Carlo Sgarra, Tiziano Vargiolu

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LTI@Unito Seminars| Dimitri Vayanos (March 7) and Johan Hombert (March 8) @ 12.00
by Luca Regis 17 Mar '23

17 Mar '23

Dear Colleagues, it is my pleasure to invite you to the following two seminars in Quantitative Finance, organised by LTI@UniTO (www.carloalberto.org/lti) and Collegio Carlo Alberto (CCA): ------------------------------------------------------------------------------------------- March 7th @ 12.00 (webinar) Speaker: Dimitri Vayanos (LSE) Title: Passive Investing and the Rise of Mega-Firms Abstract: We study how passive investing affects asset prices. Flows into passive funds raise dispropor-tionately the stock prices of the economy’s largest firms—even when the indices tracked by the funds include all firms. Passive flows also raise the largest firms’ return volatility the most, andraise the aggregate stock market even when they are entirely due to investors switching from active to passive. These effects arise because of the re-pricing of systematic and large firms’idiosyncratic risk. We estimate that passive investing caused the 50 largest US firms to rise 30%more than the US stock market over 1996–2020. Zoom link: https://us02web.zoom.us/j/85025027662?pwd=ajU0NjU3MGZRMitQTkZRT0ZjR0F5UT09 Event webpage link: https://www.carloalberto.org/event/dimitri-vayanos-london-school-of-economi… ----------------------------------------------- March 8th @ 12.00 (hybrid seminar) Speaker: Johan Hombert (HEC Paris) Title: Innovation Booms, Easy Financing, and Human Capital Accumulation Abstract: Innovation booms occur frequently and are often fueled by easy financing that allows new technology firms to pay high wages that attracts skilled labor. Using the late 1990s Information and Communication Technology (ICT) boom as a laboratory, we show that skilled labor joining this new sector experienced sizeable long-term earnings losses. We trace these losses to skill obsolescence, that cannot be explained by either selection or the subsequent ICT sector bust. During the boom, capital flowed more to firms whose workers would ultimately experience a larger productivity decline. This suggests that financial capital can amplify the negative effects of labor reallocation into booming sectors on aggregate labor productivity. Zoom link: https://us02web.zoom.us/j/89743168691?pwd=bU1qMDZSVStBTjJtcU9nZXNWZS8zdz09 Event webpage link: https://www.carloalberto.org/event/johan-hombert-hec-paris/ Best regards, Luca Regis -- Luca Regis Associate Professor ESOMAS Department, University of Torino Collegio Carlo Alberto sites.google.com/view/lucaregis Office: +39 011 670 6065 www.carloalberto.org/lti

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BioInference2023 - 2nd announcement
by Massimiliano Tamborrino 17 Mar '23

17 Mar '23

Dear all, We are delighted to announce the 2nd BioInference conference (https://bioinference.github.io/2023), taking place at the Doctoral Training Centre at the University of Oxford on the 8th-9th June 2023. It is our pleasure to confirm that this year's invited speakers are * Ritabrata Dutta<https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/dutta/>, University of Warwick * Marina Evangelou<https://www.imperial.ac.uk/people/m.evangelou>, Imperial College London * Robin Thompson<https://www.robin-thompson.co.uk/>, University of Warwick * Juliette Unwin<https://www.imperial.ac.uk/people/h.unwin>, Imperial College London * Darren Wilkinson<https://darrenjw.github.io/>, Durham University The registration fee for in-person attendance (including lunch and refreshments for the two days) is £70. Moreover, the deadline for abstract submissions for the conference has been extended to 31st March. Abstracts for contributed talks or posters on work either relating to statistical methods development (so long as those methods are applicable to biological systems) or on the application of statistical methods to solve biological problems can be submitted via a Google form (shorturl.at/dfo68<http://shorturl.at/dfo68>). The conference organising committee is committed to ensuring fair participation of individuals across all career stages, genders, races and ethnicities, ages, geographic locations, and universities. Kind regards, The BioInference Organisers Ioana Bouros (Oxford); Fergus Cooper (Oxford); Richard Creswell (Oxford); Aden Forrow (Maine); Ben Lambert (Exeter); Chon Lok Lei (Macau); Massimiliano Tamborrino (Warwick); Tom Thorne (Surrey)

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40th Linz Seminar on Fuzzy Set Theory: Copulas – Theory and Applications
by Fabrizio, Antonio DURANTE 17 Mar '23

17 Mar '23

Dear Colleague, it is our pleasure to invite you to participate in the 40th Linz Seminar on Fuzzy Set Theory <https://www.flll.jku.at/linz2023> Copulas – Theory and Applications Bildungshaus St. Magdalena, Linz, Austria June 6-9, 2023 Since their inception in 1979 the Linz Seminars on Fuzzy Sets have emphasized the development of mathematical aspects in the context of fuzzy sets by bringing together researchers in fuzzy sets and established mathematicians whose work outside the fuzzy setting can provide direction for further research. The philosophy of the seminar has always been to keep it deliberately small and intimate so that informal critical discussions remain central. LINZ 2023 will be the 40th seminar carrying on this tradition and is devoted to the theme "Copulas — Theory and Applications". The goal of the seminar is to present and to discuss recent advances of copulas and related functions and their applications in pure and applied fields. Accordingly, the topics of the Seminar will include but not be limited to: · Copula theory o From bivariate to multivariate copulas o Dependence measures and association o Approximation and convergence of copulas o Measure theoretic aspects of copulas o Copulas in the discrete setting · Copula applications o Applications in pure and applied fields o Estimation in the context of copulas o Copula methods in Data Science o Feature selection · Relationship to other aggregation functions o Triangular (co)norms, implications o Uninorms, nullnorms o Quasi-copulas, semicopulas o Distribution functions The "Linz" tradition has these key features: the number of participants of the Linz Seminars is usually bounded above by 40 with broad international representation and an enjoyable mix of pure and applied interests; there are no parallel sessions so that all participants focus on each presentation and fully engage in each topic; and there is time for discussion of each presentation, with follow up round table(s) for discussion of open problems and issues raised in the talks. In particular, young researchers (PhD students, junior post-docs) are encouraged to submit their latest results. Please submit your extended abstract (up to 4 pages) by March 29th, 2023 following the guidelines provided at the webpage of the seminar. Further Information about the seminar(s) is available at: https://www.flll.jku.at/linz2023 and https://www.flll.jku.at/linzseminars We look forward to your contributions and to welcoming you in Linz, Best regards, Fabrizio Durante, Susanne Saminger-Platz, Wolfgang Trutschnig (Program Chairs) --------------------------------------------------------- Fabrizio Durante Dipartimento di Scienze dell'Economia Centro Ecotekne Pal. C S.P. 6, Lecce - Monteroni LECCE (ITALY) Phone: +39 0832 29 8672 https://sites.google.com/site/fbdurante/ --

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PhD Scholarship @Politecnico di Milano
by Laura Maria Sangalli 17 Mar '23

17 Mar '23

Prego di dare la massima diffusione presso i potenziali interessati ITA E' uscito un bando aggiuntivo di ammissione al 38esimo ciclo di dottorato presso il Politecnico di Milano, con scadenza il ** 6 aprile 2023 ** e ingresso 1 giugno 2023. https://www.dottorato.polimi.it/futuri-dottorandi/bandi-e-regolamenti/ciclo… <https://www.dottorato.polimi.it/futuri-dottorandi/bandi-e-regolamenti/ciclo…> E’ disponibile 1 borsa in area Statistica / Data Science nell'ambito del dottorato in Data Analytics and Decision Sciences (DADS) Contatti: francesca.ieva(a)polimi.it <mailto:francesca.ieva@polimi.it>, piercesare.secchi(a)polimi.it <mailto:piercesare.secchi@polimi.it>, laura.sangalli(a)polimi.it <mailto:laura.sangalli@polimi.it> ... ENGLISH: A PhD scholarship is available for a PhD in the area of Statistics / Data Science at Politecnico di Milano, Italy: Call: https://www.dottorato.polimi.it/futuri-dottorandi/bandi-e-regolamenti/ciclo… <https://www.dottorato.polimi.it/futuri-dottorandi/bandi-e-regolamenti/ciclo…> Deadline for applications: April 6th 2023 The fellowiship is funded by the PNRR project GRINS – Growing Resilient, Inclusive and Sustainable, and is settled within the PhD program in Data Analytics and Decision Sciences (DADS). Contact persons: francesca.ieva(a)polimi.it <mailto:francesca.ieva@polimi.it>, piercesare.secchi(a)polimi.it <mailto:piercesare.secchi@polimi.it>, laura.sangalli(a)polimi.it <mailto:laura.sangalli@polimi.it> —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it https://sangalli.faculty.polimi.it <https://sangalli.faculty.polimi.it/>

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Fwd: New Call for Math GSSI PhD applications 2023/24 Now open
by Faggionato, Alessandra 16 Mar '23

16 Mar '23

Ricevo ed inoltro Saluti Alessandra ---------- Forwarded message --------- Da: Phd Mathematics GSSI <phd.math(a)gssi.it> Date: gio 16 mar 2023, 12:34 Subject: New Call for Math GSSI PhD applications 2023/24 Now open To: *11 PhD FELLOWSHIPS IN MATHEMATICS @GSSI* (Apologies for multiple posting) Please diffuse this announcement among colleagues and potentially interested students. Deadline *May 2nd, 2023 3pm* (Italian time). *Should you require any assistance with questions that are not addressed in the GSSI website*, please contact applications(a)gssi.it ================================================================== Dear Colleagues, this is to announce the opening for *11 PhD Fellowships* in "Mathematics in Natural, Social and Life Sciences" at Gran Sasso Science Institute (GSSI) starting in November 2021. The application must be submitted through the online form available at www.gssi.it/phd/ by May 2nd, 2023 at 3pm (Italian time zone). Please find the call at https://applications.gssi.it/applications/. The fellowships are awarded for 4 years and their yearly amount is € 16.159,91 gross. All PhD students have free accommodation, free luncheon vouchers and use of the canteen. The official language for the PhD course is English. 1 PhD Fellowship is funded under the ERC project *"CARDIOTRIALS -CARDIac simulations to run in-silicO clinical TRIALS**"*, please find further information below. Within the Ph <https://gssi.it/education/mathematics-education>.D. <https://gssi.it/education/mathematics-education>course in Mathematics in Natural, Social and Life Sciences <https://gssi.it/education/mathematics-education> a priority has been established on mathematical modeling, both towards the traditional areas of application, such as Physics or Engineering, and towards emerging issues in Biology and Social Sciences. GSSI mathematics researchers are interested in tackling many problems with complementary perspectives and methods. The area of Mathematics is characterized by four large macro-sectors: Applied Partial Differential Equations, Stochastic Analysis, Numerical methods and Continuum Mechanics Modeling. Within these sectors there is a shared interest in problems related to fluid dynamics and nonlinear waves, quantum mechanics, statistical mechanics and also its applications to data science. Important ideas of classical analysis, probability theory, mathematical physics and theoretical physics are used also for less traditional applications. Numerical linear algebra and numerical optimization help to design new models and accompanying numerical algorithms for applications in data mining, machine learning and network science. Continuum mechanics models, computational methods in fluid dynamics are used not only in their traditional field at the boundary between applied mathematics and theoretical engineering, but also in nonconventional problems like modeling the full heart function. Students and researchers in Mathematics at GSSI are encouraged to interact with other scientific communities. At GSSI, we believe that the interdisciplinary endeavor is the most effective way to do science and benefit society. Mathematical models are ubiquitous in physics, engineering, information theory, social and life sciences, as they provide a formidable framework to describe the time evolution of deterministic, stochastic and complex systems, which is one of the main goals at GSSI. *1 PhD fellowship* funded under the ERC project *“CARDIOTRIALS -CARDIacsimulations to run in-silicO clinical TRIALS**”*. The project aims at building a virtual model of the human heart based on the fluid-structure-electrophysiology interaction, which will be exploited to study numerically pathologies and assess the efficacy of cardiac devices, accounting for the statistical variability of the population. The project comprises the study of fluid dynamics phenomena and the application of numerical mathematics and high performance computing. The candidates willing to apply are required to work on this specific research project. Within the Ph.D. Programme in Mathematics in Natural, Social and Life Sciences, it is possible to apply both for the CardiOTrials Project position and for GSSI scholarships, by submitting two different applications. Best regards, ---- GSSI PhD Programme in Mathematics in Natural, Social and Life Sciences https://gssi.it/education/mathematics-education

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Seminario di Marta Leocata, Martedì 21 Marzo, Sapienza Università di Roma
by Silvestri, Vittoria 16 Mar '23

16 Mar '23

Segnalo il seguente seminario, che si terrà Martedì prossimo in Sapienza. *Martedì 21 Marzo, ore 14:00* Sala di Consiglio, Dipartimento di Matematica, Sapienza Università di Roma *Speaker:* Marta Leocata, SNS *Title: *Modeling an example of green transition *Abstract:* The work presented is part of a collaboration between mathematicians and philosophers of ethics, politics, and society aiming to understand mechanisms of green energy transition where some kind of interaction between many subjects and collective behaviors seem to play a role. We have identified as a first example the case of solar photovoltaic, with the purpose of explaining the time series of Italy and of different regions. We use tools from continuous-time Markov chains, mean field limits, optimal control, and mean field games. Then, we specify our analysis on the case of domestic installations. In order to explain them we propose a Markovian model of interacting particle systems to describe the decision of a significant proportion of the general public in Italy on the installation of solar photovoltaics (PVs) and compare our models to real data. We assume that the adoption decision follows a well precise pattern. First, the general public develops a certain level of sensitivity to climate change and environmental issues. Then it plans to install the PVs because she/he has a sufficient amount of information on the benefits of PVs. Finally, it installs PVs because the economic benefits out-weights the costs. In conclusion, we propose some original policies, not based not on financial incentives. This work is in collaboration with Franco Flandoli (SNS), Giulia Livieri (SNS), Silvia Morlacchi (SNS), Fausto Corvino (University of Gothenburg) and Alberto Pirni (SSSA). ******************************** Vittoria Silvestri Assistant Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ********************************

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International Conference in Venice - CALL FOR PAPERS
by Monica Billio 16 Mar '23

16 Mar '23

22nd INTERNATIONAL CONFERENCE C.r.e.d.i.t. 2023 *Social, Sovereign and Geopolitical Risks * Venice, Italy 21 –22 September 2023 * * *GRETA Associati* (Venice, Italy), *CRIF* (Bologna, Italy),*European Datawarehouse* (Frankfurt, Germany),*European Investment Bank *(Luxembourg),*European Investment Fund *(Luxembourg) and *Intesa Sanpaolo *(Milan, Italy) are partners in organasing a Conference to be held in Venice on September 21-22, 2023. The C.r.e.d.i.t. 2023 conference will bring together academics, practitioners and PhD students working in various areas of financial and socio-economic risk with the aim of creating a unique opportunity for participants to discuss research progress and policy as well as industry-relevant insights and directions for future research. The C.r.e.d.i.t. 2023 is the*twenty-second *in a series of events dedicated to various aspects of credit risk and organised under the auspices of: the *Department of Economics* and *VERA - Venice centre in Economic and Risk Analytics for public policies - of the Ca’ Foscari University of Venice*, *ABI - Italian Banking Association*,***AIAF - Associazione Italiana per l'Analisi Finanziaria* and *AIFIRM - Associazione Italiana Financial Industry Risk Managers*. Recent years have seen a series of crises (from health/pandemic to climate/energy) that have not only put a strain on global mechanisms previously seen as robust, but have exacerbated existing weaknesses and so increased vulnerability in new crisis situations. The social impact of the pandemic was partially mitigated by public interventions but social conditions then worsened with the soaring costs of energy, raw materials and inflation more broadly. Social and energy costs, which inevitably weigh on invidual countries and aggravate already delicate local situations (e.g., public debts), have led to growing geopolitical tensions, with global systemic consequences. The C.r.e.d.i.t. 2023 conference will be dedicated to Social, Sovereign and Geopolitical Risks to discuss, evaluate and address the near- and medium-term macro-financial impact of persistent crises (“permacrisis”) that can affect the stability of financial as well as socio-economic systems. The organizers encourage submissions on any topic within the overall theme of the conference and in the following areas in particular: * *Socio-economic Stability: *Future development of income (and wealth) inequality and social polarization; Risk, inequality and employment impacts of crises and policies; Gender and skilling issues will increase or help the transition?; * *Sovereign Risks: * Sovereign debt with low economic growth; Long term challenges for fiscal and monetary policies: green transformation, commodity prices, de-globalization and demographic trends; Inflation and exchange rate risks; Environmental and social inter-dependencies; social and environmental preferences and how these affect the stability and macroeconomic wellbeing of a given country; Challenges in measuring the ESG ratings of countries and thus of sovereign debt; * *Geopolitical Risks:* Global supply chain and de-globalization risks for finance; Do international energy price discrepancies pose risks for the competitiveness of EU firms’ and might this have implications for the real exchange rate to?; Risks stemming from accelerating deglobalisation; Cyber-risk vulnerabilities of banks and firms; * *Energy/Commodity Security:* Energy prices and financial performance of firms; Inefficiency of energy markets under scarcity; Transition costs under high energy and resource prices; Volatility of energy-related asset prices (both brown and green) and implications for medium and long term investments in energy production technologies, energy commodity assets and energy infrastructure; Implications of net zero policies for the prices of real estate assets, especially for homeowners and households; * *Long Run Investments and Portfolios:* Stability of asset market equilibria under low returns; Regulation (-demand) driven asset prices; Equilibrium asset price levels under structural transformation and high uncertainty; Net zero pledges and the possible trade-off between sustainability and returns; Engagement versus divesting. The final program will include both submitted and invited papers. Acceptances received so far from invited speakers include *Helen Rey* (London Business School), *Elisa Giuliani *(University of Pisa) and *Moritz Schularick *(Sciences Po Paris & University of Bonn). The Conference will also include panel discussions on the major issues at stake with the views of researchers', practitioners' and policy makers. The SCIENTIFIC COMMITTEE for the Conference consists of: *Moritz Schularick *(Sciences Po Paris & University of Bonn, Programme Chair) *Francesca Campolongo* (Joint Research Center, European Commission) *Rajna Gibson* (University of Geneva & Geneva Finance Research Institute) *Helmut Kraemer-Eis* (European Investment Fund) *Jan Pieter Krahnen *(Leibniz Institute for Financial Research SAFE & Goethe University) *Steven Ongena *(University of Zurich, Swiss Finance Institute, KU Leuven, NTNU Business School & CEPR) *Loriana Pelizzon *(Ca’ Foscari University of Venice, Leibniz Institute for Financial Research SAFE & Goethe University) *Roberto Rigobon* (MIT Sloan School of Management) *Stephen Schaefer *(London Business School) *Marti Subrahmanyam *(NYU Stern Business School) *Christoph Trebesch* (Kiel Institute) CALL FOR PAPERS Those wishing to present a paper at the Conference should submit by *May 31, 2023 *to the address given below (preferably in electronic format). Please indicate to whom correspondence should be addressed. Decisions regarding acceptance will be made by *June 30, 2023*. The final version of accepted papers must be received by August 31, 2023. Please send papers to: GRETA Associati, San Polo, 2605 - 30125 Venice, ITALY Phone : +39 041 5238178 - e-mail: credit(a)greta.it More detailed information available on the Conference website: https://www.greta.it/index.php/it/credit-2023

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Summer School Mathematical foundations of Quantum Machine Learning
by Sonia Mazzucchi 15 Mar '23

15 Mar '23

Dear all, We are glad to announce the Summer School *Mathematical Foundations of Quantum Machine Learning*, to be held from 10 to 14 July 2023 at the University of Trento. The aim of the School is to present in an accessible way to a wide audience the mathematical theory underlying Quantum Machine Learning, through three mini courses held by researchers active in this field: Giacomo De Palma (University of Bologna) *Quantum Machine Learning*, Dario Trevisan (University of Pisa) *Quantum algorithms*, Leonardo Banchi (University of Firenze) *Laboratory*. The School aims to provide an opportunity for different communities to meet up, fostering the interactions, allowing exchanges of ideas and methods and contributing to the diffusion of open problems. It is meant mainly for master and graduate students, but also for postdocs, young as well as senior researchers interested in approaching this blooming research field. Registration is open on the website http://datascience.maths.unitn.it/events/qml2023/ We hope to see you in Trento! Sonia Mazzucchi, Claudio Agostinelli, Gian Paolo Leonardi, Valter Moretti -- Prof. Sonia Mazzucchi, PhD Department of Mathematics University of Trento - Italy

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Seminar by Yacine Ait Sahalia in Verona, Monday 20/3/2023 at noon: How and When are High-Frequency Prices Predictable?
by Cecilia Mancini 15 Mar '23

15 Mar '23

Dear all, Professor Yacine Ait Sahalia, from Princeton University, will give the seminar How and When are High-Frequency Prices Predictable? on Monday 20/3/2023 at the Department of Economics of the Verona University, at 12 p.m. in sala Vaona, 1st floor, Santa Marta main building, via Cantarane 24, Verona It will be possible to attend the seminar also on zoom (the meeting ID is given at the official page https://www.dse.univr.it/?ent=seminario&id=5807) All interested people will be very welcome. Best regards, Cecilia Abstract: This paper studies the predictability of ultra high-frequency stock returns and durations to relevant events, using machine learning methods. We find that, contrary to low frequency and long horizon returns, where predictability is rare and inconsistent, predictability in high frequency returns and durations is large, systematic and pervasive. We identify the relevant predictors and examine what determines the variation in predictability across different stocks and market environments. Next, we compute how the predictability varies with the timeliness of the data on a scale of milliseconds. Finally, we determine the value of getting a (short-lived and imperfect) peek at the incoming order flow, an ability that is often attributed to the fastest high frequency traders, in terms of improving the predictability. (joint work with Jianqing Fan, Lirong Xue and Yifeng Zhou) web page of Yacine: https://www.princeton.edu/~yacine/

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