IDEAS home Printed from https://ideas.repec.org/d/g/iabocit.html
 

Publications

by alumni of

Dipartimento di Finanza
Università Commerciale Luigi Bocconi
Milano, Italy

(Department of Finance, Bocconi University)

These are publications listed in RePEc written by alumni of the above institution who are registered with the RePEc Author Service and listed in the RePEc Genealogy. List of alumni. For a list of publications by current members of the department, see here. Register yourself.

This page is updated in the first days of each month.


| Working papers | Journal articles | Books | Chapters |

Working papers

2022

  1. Mauro Bernardi & Daniele Bianchi & Nicolas Bianco, 2022. "Variational inference for large Bayesian vector autoregressions," Papers 2202.12644, arXiv.org, revised Jun 2023.
  2. Mauro Bernardi & Daniele Bianchi & Nicolas Bianco, 2022. "Smoothing volatility targeting," Papers 2212.07288, arXiv.org.
  3. Daniele Bianchi & Mykola Babiak & Alexander Dickerson, 2022. "Trading Volume and Liquidity Provision in Cryptocurrency Markets," CERGE-EI Working Papers wp730, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

2021

  1. Daniele Bianchi & Mykola Babiak, 2021. "A Factor Model for Cryptocurrency Returns," CERGE-EI Working Papers wp710, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

2020

  1. Daniele Bianchi & Massimo Guidolin & Manuela Pedio, 2020. "Dissecting Time-Varying Risk Exposures in Cryptocurrency Markets," BAFFI CAREFIN Working Papers 20143, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
  2. Daniele Bianchi & Mykola Babiak, 2020. "On the Performance of Cryptocurrency Funds," CERGE-EI Working Papers wp672, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

2018

  1. Daniele Bianchi & Kenichiro McAlinn, 2018. "Large-Scale Dynamic Predictive Regressions," Papers 1803.06738, arXiv.org.
  2. Daniele Bianchi & Monica Billio & Roberto Casarin & Massimo Guidolin, 2018. "Modeling Systemic Risk with Markov Switching Graphical SUR Models," Working Papers 626, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

2016

  1. Bianchi, Daniele & Tamoni, Andrea, 2016. "The dynamics of expected returns: evidence from multi-scale time series modelling," LSE Research Online Documents on Economics 118992, London School of Economics and Political Science, LSE Library.

2013

  1. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
  2. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Dissecting the 2007-2009 real estate market bust: systematic pricing correction or just a housing fad?," Working Paper 2013/22, Norges Bank.

2006

  1. Luisa Anderloni & Daniela Vandone, 2006. "New market segments: migrants and financial innovation," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1043, Universitá degli Studi di Milano.

Journal articles

2023

  1. Daniele Bianchi & Massimo Guidolin & Manuela Pedio, 2023. "The dynamics of returns predictability in cryptocurrency markets," The European Journal of Finance, Taylor & Francis Journals, vol. 29(6), pages 583-611, April.

2022

  1. Bianchi, Daniele & Babiak, Mykola, 2022. "On the performance of cryptocurrency funds," Journal of Banking & Finance, Elsevier, vol. 138(C).
  2. Bianchi, Daniele & Babiak, Mykola & Dickerson, Alexander, 2022. "Trading volume and liquidity provision in cryptocurrency markets," Journal of Banking & Finance, Elsevier, vol. 142(C).

2021

  1. Bianchi, Daniele, 2021. "Adaptive expectations and commodity risk premiums," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
  2. Daniele Bianchi & Matthias Büchner & Andrea Tamoni, 2021. "Bond Risk Premiums with Machine Learning [Quadratic term structure models: Theory and evidence]," The Review of Financial Studies, Society for Financial Studies, vol. 34(2), pages 1046-1089.
  3. Daniele Bianchi & Matthias Büchner & Tobias Hoogteijling & Andrea Tamoni, 2021. "Corrigendum: Bond Risk Premiums with Machine Learning [Bond risk premiums with machine learning]," The Review of Financial Studies, Society for Financial Studies, vol. 34(2), pages 1090-1103.

2019

  1. Bianchi, Daniele & Billio, Monica & Casarin, Roberto & Guidolin, Massimo, 2019. "Modeling systemic risk with Markov Switching Graphical SUR models," Journal of Econometrics, Elsevier, vol. 210(1), pages 58-74.

2018

  1. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.

2017

  1. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2017. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 110-129, January.

2016

  1. Olivier Cartapanis & Daniele Bianchi & Samuel L. Jaccard & Eric D. Galbraith, 2016. "Global pulses of organic carbon burial in deep-sea sediments during glacial maxima," Nature Communications, Nature, vol. 7(1), pages 1-7, April.

2014

  1. Bianchi, Daniele & Guidolin, Massimo, 2014. "Can long-run dynamic optimal strategies outperform fixed-mix portfolios? Evidence from multiple data sets," European Journal of Operational Research, Elsevier, vol. 236(1), pages 160-176.
  2. Daniele Bianchi & Massimo Guidolin, 2014. "Can Linear Predictability Models Time Bull and Bear Real Estate Markets? Out-of-Sample Evidence from REIT Portfolios," The Journal of Real Estate Finance and Economics, Springer, vol. 49(1), pages 116-164, July.

2012

  1. Emanuele Bacchiocchi & Luisa Anderloni & Daniela Vandone, 2012. "Households’ financial vulnerability in the new scenario," BANCARIA, Bancaria Editrice, vol. 10, pages 94-107, October.

Books

2009

  1. Luisa Anderloni & David T. Llewellyn & Reinhard H. Schmidt (ed.), 2009. "Financial Innovation in Retail and Corporate Banking," Books, Edward Elgar Publishing, number 13229.

Chapters

2009

  1. Luisa Anderloni & Paola Bongini, 2009. "Is Financial Innovation Still a Relevant Issue?," Chapters, in: Luisa Anderloni & David T. Llewellyn & Reinhard H. Schmidt (ed.), Financial Innovation in Retail and Corporate Banking, chapter 2, Edward Elgar Publishing.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.