Marco Bianchetti

Personal Details

First Name:	Marco
Middle Name:
Last Name:	Bianchetti
Suffix:
RePEc Short-ID:	pbi153
	[This author has chosen not to make the email address public]

Affiliation

Intesa Sanpaolo s.p.a.

http://www.intesasanpaolo.com
Italy

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Lorenzo Silotto & Marco Scaringi & Marco Bianchetti, 2021. "Everything You Always Wanted to Know About XVA Model Risk but Were Afraid to Ask," Papers 2107.10377, arXiv.org.

   Cited by:

   1. Claudio Albanese & Cyril Bénézet & Stéphane Crépey, 2023. "Hedging Valuation Adjustment and Model Risk," Working Papers hal-03675291, HAL.
      • Claudio Albanese & Cyril B'en'ezet & St'ephane Cr'epey, 2022. "Hedging Valuation Adjustment and Model Risk," Papers 2205.11834, arXiv.org, revised Dec 2023.

2. Marco Bianchetti & Davide Galli & Camilla Ricci & Angelo Salvatori & Marco Scaringi, 2016. "Brexit or Bremain ? Evidence from bubble analysis," Papers 1606.06829, arXiv.org.

   Cited by:

   1. Pan, Wei-Fong, 2018. "Sentiment and asset price bubble in the precious metals markets," Finance Research Letters, Elsevier, vol. 26(C), pages 106-111.

3. Marco Bianchetti & Sergei Kucherenko & Stefano Scoleri, 2015. "Pricing and Risk Management with High-Dimensional Quasi Monte Carlo and Global Sensitivity Analysis," Papers 1504.02896, arXiv.org.

   Cited by:

   1. Jan Pospíšil & Tomáš Sobotka & Philipp Ziegler, 2019. "Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure," Empirical Economics, Springer, vol. 57(6), pages 1935-1958, December.
   2. J. Hok & S. Kucherenko, 2022. "The importance of being scrambled: supercharged Quasi Monte Carlo," Papers 2210.16548, arXiv.org, revised Oct 2023.
   3. Andrea Maran & Andrea Pallavicini & Stefano Scoleri, 2021. "Chebyshev Greeks: Smoothing Gamma without Bias," Papers 2106.12431, arXiv.org.
   4. Paul Bilokon & Sergei Kucherenko & Casey Williams, 2022. "Quasi-Monte Carlo methods for calculating derivatives sensitivities on the GPU," Papers 2209.11337, arXiv.org.
   5. Julien Hok & Sergei Kucherenko, 2021. "Pricing and Risk Analysis in Hyperbolic Local Volatility Model with Quasi Monte Carlo," Papers 2106.08421, arXiv.org.
   6. Jan Posp'iv{s}il & Tom'av{s} Sobotka & Philipp Ziegler, 2019. "Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure," Papers 1912.06709, arXiv.org.
   7. Zhijian He & Xiaoqun Wang, 2021. "An Integrated Quasi-Monte Carlo Method for Handling High Dimensional Problems with Discontinuities in Financial Engineering," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 693-718, February.

4. Marco Bianchetti & Mattia Carlicchi, 2013. "Markets Evolution After the Credit Crunch," Papers 1301.7078, arXiv.org.

   Cited by:

   1. Duyvesteyn, Johan & de Zwart, Gerben, 2015. "Riding the swaption curve," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 57-75.
   2. Jessica Reale, 2022. "Interbank market and funding liquidity risk in a stock‐flow consistent model," Metroeconomica, Wiley Blackwell, vol. 73(3), pages 734-769, July.

5. Marco Bianchetti, 2012. "The Zeeman Effect in Finance: Libor Spectroscopy and Basis Risk Management," Papers 1210.7329, arXiv.org.
   • Marco, Bianchetti, 2011. "The Zeeman Effect in Finance: Libor Spectroscopy and Basis Risk Management," MPRA Paper 42247, University Library of Munich, Germany, revised 27 Oct 2012.

   Cited by:

   1. Bianchetti, Marco & Carlicchi, Mattia, 2012. "Markets Evolution After the Credit Crunch," MPRA Paper 44023, University Library of Munich, Germany.
   2. Marco Bianchetti & Mattia Carlicchi, 2013. "Markets Evolution After the Credit Crunch," Papers 1301.7078, arXiv.org.
   3. Damiano Brigo & Andrea Pallavicini, 2013. "CCPs, Central Clearing, CSA, Credit Collateral and Funding Costs Valuation FAQ: Re-hypothecation, CVA, Closeout, Netting, WWR, Gap-Risk, Initial and Variation Margins, Multiple Discount Curves, FVA?," Papers 1312.0128, arXiv.org, revised Dec 2013.

6. Marco Bianchetti & Mattia Carlicchi, 2011. "Interest Rates After The Credit Crunch: Multiple-Curve Vanilla Derivatives and SABR," Papers 1103.2567, arXiv.org, revised Apr 2012.

   Cited by:

   1. Jaroslav Baran & Jiří Witzany, 2014. "Konstrukce výnosových křivek v pokrizovém období [Yield Curve Construction after Crisis]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(1), pages 67-99.
   2. Marcin Dec, 2018. "Markovian and multi-curve friendly parametrisation of HJM model used in valuation adjustment of interest rate derivatives," KAE Working Papers 2018-038, Warsaw School of Economics, Collegium of Economic Analysis.
      • Marcin Dec, 2019. "Markovian and multi-curve friendly parametrisation of a HJM model used in valuation adjustment of interest rate derivatives," Bank i Kredyt, Narodowy Bank Polski, vol. 50(2), pages 107-148.
   3. Gola Carlo & Ilari Antonio, 2013. "Financial innovation oversight: a policy framework," Questioni di Economia e Finanza (Occasional Papers) 200, Bank of Italy, Economic Research and International Relations Area.
      • Gola, Carlo & Ilari, Antonio, 2015. "Financial innovation oversight: a policy framework," Journal of Financial Perspectives, EY Global FS Institute, vol. 3(1), pages 59-100.
   4. Mesias Alfeus, 2019. "Stochastic Modelling of New Phenomena in Financial Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2019.
   5. Dilip Madan, 2015. "Asset pricing theory for two price economies," Annals of Finance, Springer, vol. 11(1), pages 1-35, February.
   6. Jaroslav Baran & Jiří Witzany, 2017. "Analysing Cross-Currency Basis Spreads," Working Papers 25, European Stability Mechanism.
   7. Yangfan Zhong, 2018. "LIBOR market model with multiplicative basis," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-38, June.
   8. Chiara Sabelli & Michele Pioppi & Luca Sitzia & Giacomo Bormetti, 2014. "Multi-curve HJM modelling for risk management," Papers 1411.3977, arXiv.org, revised Oct 2015.
   9. Madan, Dilip B., 2014. "Modeling and monitoring risk acceptability in markets: The case of the credit default swap market," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 63-73.
   10. Eric Jondeau & Benoit Mojon & Jean-Guillaume Sahuc, 2020. "Bank Funding Cost and Liquidity Supply Regimes," BIS Working Papers 854, Bank for International Settlements.

7. Marco Bianchetti, 2009. "Two Curves, One Price: Pricing & Hedging Interest Rate Derivatives Decoupling Forwarding and Discounting Yield Curves," Papers 0905.2770, arXiv.org, revised Jul 2012.

   Cited by:

   1. Jaroslav Baran & Jiří Witzany, 2014. "Konstrukce výnosových křivek v pokrizovém období [Yield Curve Construction after Crisis]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(1), pages 67-99.
   2. Marcin Dec, 2018. "Markovian and multi-curve friendly parametrisation of HJM model used in valuation adjustment of interest rate derivatives," KAE Working Papers 2018-038, Warsaw School of Economics, Collegium of Economic Analysis.
      • Marcin Dec, 2019. "Markovian and multi-curve friendly parametrisation of a HJM model used in valuation adjustment of interest rate derivatives," Bank i Kredyt, Narodowy Bank Polski, vol. 50(2), pages 107-148.
   3. N. Moreni & A. Pallavicini, 2014. "Parsimonious HJM modelling for multiple yield curve dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 199-210, February.
      • Nicola Moreni & Andrea Pallavicini, 2010. "Parsimonious HJM Modelling for Multiple Yield-Curve Dynamics," Papers 1011.0828, arXiv.org.
   4. Masaaki Fujii & Yasufumi Shimada & Akihiko Takahashi, 2009. "A Market Model of Interest Rates with Dynamic Basis Spreads in the presence of Collateral and Multiple Currencies," CARF F-Series CARF-F-196, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Apr 2011.
   5. Laura Morino & Wolfgang J. Ruggaldier, 2014. "On multicurve models for the term structure," Papers 1401.5431, arXiv.org.
   6. Andrea Macrina & Obeid Mahomed, 2018. "Consistent Valuation Across Curves Using Pricing Kernels," Papers 1801.04994, arXiv.org, revised Feb 2018.
   7. Andrea Macrina & Obeid Mahomed, 2018. "Consistent Valuation Across Curves Using Pricing Kernels," Risks, MDPI, vol. 6(1), pages 1-39, March.
   8. Filipović, Damir & Trolle, Anders B., 2013. "The term structure of interbank risk," Journal of Financial Economics, Elsevier, vol. 109(3), pages 707-733.
   9. Guillermo Andrés Cangrejo Jiménez, 2014. "La Estructura a Plazos del Riesgo Interbancario," Documentos de Trabajo 12172, Universidad del Rosario.
   10. Jacob Gyntelberg & Peter Hördahl & Kristyna Ters & Jörg Urban, 2013. "Intraday dynamics of euro area sovereign CDS and bonds," BIS Working Papers 423, Bank for International Settlements.
   11. Jan Šedivý, 2019. "Optimální způsob sjednání derivátu za přítomnosti rizika protistrany [Optimal Method of Entering a Derivative Contract in the Presence of Counterparty Risk]," Politická ekonomie, Prague University of Economics and Business, vol. 2019(1), pages 65-81.
   12. Anna Maria Gambaro & Riccardo Casalini & Gianluca Fusai & Alessandro Ghilarducci, 2019. "A market-consistent framework for the fair evaluation of insurance contracts under Solvency II," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(1), pages 157-187, June.
   13. V. Brousseau & Alexandre Chailloux & Alain Durré, 2013. "Fixing the Fixings: What Road to a More Representative Money Market Benchmark?," IMF Working Papers 2013/131, International Monetary Fund.
   14. Masaaki Fujii & Akihiko Takahashi, 2009. "A Survey on Modeling and Analysis of Basis Spreads," CARF F-Series CARF-F-195, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
   15. Masaaki Fujii & Akihiko Takahashi, 2009. "A Survey on Modeling and Analysis of Basis Spreads," CIRJE F-Series CIRJE-F-697, CIRJE, Faculty of Economics, University of Tokyo.
   16. Piotr Mielus, 2016. "Dylematy reformy indeksów rynku finansowego," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 91-114.
   17. Eric Jondeau & Benoit Mojon & Jean-Guillaume Sahuc, 2020. "Bank Funding Cost and Liquidity Supply Regimes," BIS Working Papers 854, Bank for International Settlements.
   18. Eduard Gim'enez & Alberto Elices & Giovanna Villani, 2014. "A heuristic pricing and hedging framework for multi-currency fixed income desks," Papers 1406.1811, arXiv.org, revised Jan 2017.
   19. Alessandro Gnoatto & Martino Grasselli, 2013. "An analytic multi-currency model with stochastic volatility and stochastic interest rates," Papers 1302.7246, arXiv.org, revised Mar 2013.
   20. Masaaki Fujii & Yasufumi Shimada & Akihiko Takahashi, 2009. "A Market Model of Interest Rates with Dynamic Basis Spreads in the presence of Collateral and Multiple Currencies," CIRJE F-Series CIRJE-F-698, CIRJE, Faculty of Economics, University of Tokyo.

Articles

1. Bianchetti, Marco & Carlicchi, Mattia, 2011. "Interest Rates After the Credit Crunch: Markets and Models Evolution," Journal of Financial Transformation, Capco Institute, vol. 32, pages 35-48.

   Cited by:

   1. Leippold, Markus & Strømberg, Jacob, 2014. "Time-changed Lévy LIBOR market model: Pricing and joint estimation of the cap surface and swaption cube," Journal of Financial Economics, Elsevier, vol. 111(1), pages 224-250.
      • Markus Leippold & Jacob Stromberg, 2012. "Time-Changed Lévy LIBOR Market Model: Pricing and Joint Estimation of the Cap Surface and Swaption Cube," Swiss Finance Institute Research Paper Series 12-23, Swiss Finance Institute.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-CMP: Computational Economics (3) 2015-04-19 2016-06-25 2021-05-10
2. NEP-RMG: Risk Management (3) 2012-11-11 2015-04-19 2021-07-26
3. NEP-BAN: Banking (1) 2011-03-26
4. NEP-BIG: Big Data (1) 2021-05-10
5. NEP-FMK: Financial Markets (1) 2016-06-25
6. NEP-MON: Monetary Economics (1) 2011-03-26
7. NEP-NET: Network Economics (1) 2016-06-25

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