Rosella Castellano

Personal Details

First Name:	Rosella
Middle Name:
Last Name:	Castellano
Suffix:
RePEc Short-ID:	pca464
	[This author has chosen not to make the email address public]
	https://www.international.unitelmasapienza.it/faculty/teachers/rosella-castellano

Affiliation

Università di Roma Unitelma Sapienza

https://www.international.unitelmasapienza.it/
Rome
V.le Regina Elena 295 . 00161 Rome (Italy)
+39 06 81100288

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. Marcel Ausloos & Rosella Castellano & Roy Cerqueti, 2016. "Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benford's Law," Papers 1603.01103, arXiv.org.
   • Ausloos, Marcel & Castellano, Rosella & Cerqueti, Roy, 2016. "Regularities and discrepancies of credit default swaps: a data science approach through Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 8-17.

   Cited by:

   1. Carbone, Anna & Jensen, Meiko & Sato, Aki-Hiro, 2016. "Challenges in data science: a complex systems perspective," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 1-7.
   2. Ausloos, Marcel & Cerqueti, Roy & Mir, Tariq A., 2017. "Data science for assessing possible tax income manipulation: The case of Italy," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 238-256.
      • Marcel Ausloos & Roy Cerqueti & Tariq A. Mir, 2017. "Data science for assessing possible tax income manipulation: The case of Italy," Papers 1709.02129, arXiv.org.
   3. Solanki Gupta & Vivek Kumar Singh & Sumit Kumar Banshal, 2024. "Altmetric data quality analysis using Benford’s law," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4597-4621, July.
   4. Arezzo, Maria Felice & Cerqueti, Roy, 2023. "A Benford’s Law view of inspections’ reasonability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
   5. Bogdan Vasile Ileanu & Marcel Ausloos & Claudiu Herteliu & Marian Pompiliu Cristescu, 2019. "Intriguing behavior when testing the impact of quotation marks usage in Google search results," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2507-2519, September.
   6. Tudorel Andrei & Bogdan Oancea & Peter Richmond & Gurjeet Dhesi & Claudiu Herteliu, 2017. "Decomposition of the Inequality of Income Distribution by Income Types - Application for Romania," Papers 1709.07960, arXiv.org.
   7. Roy Cerqueti & C Lupi, 2021. "Some New Tests of Conformity with Benford’s Laws," Post-Print hal-03789183, HAL.
      • Roy Cerqueti & Claudio Lupi, 2021. "Some New Tests of Conformity with Benford’s Law," Stats, MDPI, vol. 4(3), pages 1-17, September.
   8. Ausloos, Marcel & Cerqueti, Roy & Bartolacci, Francesca & Castellano, Nicola G., 2018. "SME investment best strategies. Outliers for assessing how to optimize performance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 754-765.
      • Marcel Ausloos & Roy Cerqueti & Francesca Bartolacci & Nicola G. Castellano, 2018. "SME investment best strategies. Outliers for assessing how to optimize performance," Papers 1807.09583, arXiv.org.
   9. Cerqueti, Roy & Maggi, Mario, 2021. "Data validity and statistical conformity with Benford’s Law," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
   10. Azevedo, Caio da Silva & Gonçalves, Rodrigo Franco & Gava, Vagner Luiz & Spinola, Mauro de Mesquita, 2021. "A Benford’s Law based methodology for fraud detection in social welfare programs: Bolsa Familia analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
   11. Herteliu, Claudiu & Jianu, Ionel & Dragan, Irina Maria & Apostu, Simona & Luchian, Iuliana, 2021. "Testing Benford’s Laws (non)conformity within disclosed companies’ financial statements among hospitality industry in Romania," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
   12. Riccioni, Jessica & Cerqueti, Roy, 2018. "Regular paths in financial markets: Investigating the Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 186-194.
   13. Ausloos, Marcel & Cerqueti, Roy & Lupi, Claudio, 2017. "Long-range properties and data validity for hydrogeological time series: The case of the Paglia river," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 39-50.

Articles

1. Rosella Castellano & Roy Cerqueti & Giulia Rotundo, 2020. "Exploring the financial risk of a temperature index: a fractional integrated approach," Annals of Operations Research, Springer, vol. 284(1), pages 225-242, January.

   Cited by:

   1. Wei Qian & Yuemeng Ge, 2021. "The implementation of leisure tourism enterprise management system based on deep learning," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 801-812, August.
   2. Yan, Yumeng & Xiong, Xiong & Li, Shuo & Lu, Lei, 2022. "Will temperature change reduce stock returns? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 81(C).

2. Castellano, Rosella & Cerqueti, Roy & Spinesi, Luca, 2016. "Sustainable management of fossil fuels: A dynamic stochastic optimization approach with jump-diffusion," European Journal of Operational Research, Elsevier, vol. 255(1), pages 288-297.

   Cited by:

   1. Ernstsen, Rune Ramsdal & Boomsma, Trine Krogh, 2018. "Valuation of power plants," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1153-1174.
   2. Ji, Xiang & Wu, Jie & Liang, Liang & Zhu, Qingyuan, 2018. "The impacts of public sustainability concerns on length of product line," European Journal of Operational Research, Elsevier, vol. 269(1), pages 16-23.

3. Ausloos, Marcel & Castellano, Rosella & Cerqueti, Roy, 2016. "Regularities and discrepancies of credit default swaps: a data science approach through Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 8-17.
   • Marcel Ausloos & Rosella Castellano & Roy Cerqueti, 2016. "Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benford's Law," Papers 1603.01103, arXiv.org.
   See citations under working paper version above.
4. Castellano, Rosella & Cerqueti, Roy, 2014. "Mean–Variance portfolio selection in presence of infrequently traded stocks," European Journal of Operational Research, Elsevier, vol. 234(2), pages 442-449.

   Cited by:

   1. Masoud Fekri & Babak Barazandeh, 2019. "Designing an Optimal Portfolio for Iran's Stock Market with Genetic Algorithm using Neural Network Prediction of Risk and Return Stocks," Papers 1903.06632, arXiv.org.
   2. Eduard Gabriel Ceptureanu & Sebastian Ceptureanu & Claudiu Herteliu, 2021. "Evidence regarding external financing in manufacturing MSEs using partial least squares regression," Annals of Operations Research, Springer, vol. 299(1), pages 1189-1202, April.
   3. Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2018. "Estimation of the global minimum variance portfolio in high dimensions," European Journal of Operational Research, Elsevier, vol. 266(1), pages 371-390.
      • Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2014. "Estimation of the Global Minimum Variance Portfolio in High Dimensions," Papers 1406.0437, arXiv.org, revised Nov 2015.
   4. Huang, Xiaoxia & Ma, Di & Choe, Kwang-Il, 2023. "Uncertain mean–variance portfolio model with inflation taking linear uncertainty distributions," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 203-217.
   5. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
   6. Castellano, Rosella & Cerqueti, Roy & Spinesi, Luca, 2016. "Sustainable management of fossil fuels: A dynamic stochastic optimization approach with jump-diffusion," European Journal of Operational Research, Elsevier, vol. 255(1), pages 288-297.
   7. Maurizio Bovi & Roy Cerqueti, 2016. "Forecasting macroeconomic fundamentals in economic crises," Annals of Operations Research, Springer, vol. 247(2), pages 451-469, December.
   8. Ha, Youngmin & Zhang, Hai, 2020. "Algorithmic trading for online portfolio selection under limited market liquidity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1033-1051.
   9. Zinoviy Landsman & Udi Makov & Tomer Shushi, 2018. "A Generalized Measure for the Optimal Portfolio Selection Problem and its Explicit Solution," Risks, MDPI, vol. 6(1), pages 1-15, March.

5. Rosella Castellano & Luisa Scaccia, 2014. "Can CDS indexes signal future turmoils in the stock market? A Markov switching perspective," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 285-305, June.

   Cited by:

   1. Consiglio, Andrea & Tumminello, Michele & Zenios, Stavros A., 2016. "Pricing Sovereign Contingent Convertible Debt," Working Papers 16-05, University of Pennsylvania, Wharton School, Weiss Center.
      • Andrea Consiglio & Michele Tumminello & Stavros A. Zenios, 2018. "Pricing Sovereign Contingent Convertible Debt," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-36, December.
      • Andrea Consiglio & Michele Tumminello & Stavros A. Zenios, 2018. "Pricing sovereign contingent convertible debt," Papers 1804.01475, arXiv.org.
      • Andrea Consiglio & Michele Tumminello & Stavros A. Zenios, 2018. "Pricing Sovereign Contingent Convertible Debt," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-36, December.
   2. Jarosław Duda & Henryk Gurgul & Robert Syrek, 2022. "Multi-feature evaluation of financial contagion," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1167-1194, December.
   3. Shahzad, Syed Jawad Hussain & Mensi, Walid & Hammoudeh, Shawkat & Balcilar, Mehmet & Shahbaz, Muhammad, 2018. "Distribution specific dependence and causality between industry-level U.S. credit and stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 114-133.
   4. Marcel Ausloos & Rosella Castellano & Roy Cerqueti, 2016. "Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benford's Law," Papers 1603.01103, arXiv.org.
      • Ausloos, Marcel & Castellano, Rosella & Cerqueti, Roy, 2016. "Regularities and discrepancies of credit default swaps: a data science approach through Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 8-17.
   5. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2020. "Markov-Switching Stochastic Processes in an Active Trading Algorithm in the Main Latin-American Stock Markets," Mathematics, MDPI, vol. 8(6), pages 1-23, June.
   6. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & María de la Cruz Del Río-Rama & José Álvarez-García, 2022. "Using Markov-Switching Models in US Stocks Optimal Portfolio Selection in a Black–Litterman Context (Part 1)," Mathematics, MDPI, vol. 10(8), pages 1-28, April.
   7. Oscar V. De la Torre-Torres & Dora Aguilasocho-Montoya & María de la Cruz del Río-Rama, 2020. "A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures," Mathematics, MDPI, vol. 8(6), pages 1-19, June.
   8. Sinan Esen & Feyyaz Zeren & Halil Şimdi, 2015. "CDS and Stock Market: Panel Evidence Under Cross-Section Dependency," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 13(1), pages 31-46.
   9. Rosella Castellano & Annalisa Ferrari, 2019. "Are stock price dynamics affected by financial analysts recommendations? Evidence from Italian green energy stocks," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2535-2544, September.

6. Rosella Castellano & Rita D’Ecclesia, 2013. "CDS volatility: the key signal of credit quality," Annals of Operations Research, Springer, vol. 205(1), pages 89-107, May.

   Cited by:

   1. Sipan Aslan & Ceylan Yozgatligil & Cem Iyigun, 2018. "Temporal clustering of time series via threshold autoregressive models: application to commodity prices," Annals of Operations Research, Springer, vol. 260(1), pages 51-77, January.
   2. Alexandros Garefalakis & Augustinos Dimitras, 2020. "Looking back and forging ahead: the weighting of ESG factors," Annals of Operations Research, Springer, vol. 294(1), pages 151-189, November.
   3. Gheorghe HURDUZEU & Radu Cristian MUSETESCU & Georgeta Madalina MEGHISAN, 2015. "Financial Market Reaction To Changes In The Volatilities Of Cds Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 152-165, September.
   4. Nidhaleddine Ben Cheikh & Oussama Ben Hmiden & Younes Ben Zaied & Sabri Boubaker, 2021. "Do sovereign credit ratings matter for corporate credit ratings?," Annals of Operations Research, Springer, vol. 297(1), pages 77-114, February.
   5. Marcel Ausloos & Rosella Castellano & Roy Cerqueti, 2016. "Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benford's Law," Papers 1603.01103, arXiv.org.
      • Ausloos, Marcel & Castellano, Rosella & Cerqueti, Roy, 2016. "Regularities and discrepancies of credit default swaps: a data science approach through Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 8-17.
   6. Alexandros Garefalakis & Nikolaos Sariannidis & Christos Lemonakis, 2020. "Narrative disclosure guidelines for CARs: an operational-based tool," Annals of Operations Research, Springer, vol. 294(1), pages 107-122, November.
   7. Rongda Chen & Liu Yang & Weijin Wang & Ling Tang, 2015. "Discovering the impact of systemic and idiosyncratic risk factors on credit spread of corporate bond within the framework of intelligent knowledge management," Annals of Operations Research, Springer, vol. 234(1), pages 3-15, November.
   8. Rosella Castellano & Luisa Scaccia, 2014. "Can CDS indexes signal future turmoils in the stock market? A Markov switching perspective," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 285-305, June.
   9. Ariel K. H. Lui & Maggie C. M. Lee & Eric W. T. Ngai, 2022. "Impact of artificial intelligence investment on firm value," Annals of Operations Research, Springer, vol. 308(1), pages 373-388, January.

7. Rosella Castellano & Roy Cerqueti, 2013. "Roots and effects of financial misperception in a stochastic dominance framework," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3371-3389, October.

   Cited by:

   1. Nobuyuki Hanaki, 2021. "Risk misperceptions of structured financial products with worst-of payout characteristics revisited," ISER Discussion Paper 1143r, Institute of Social and Economic Research, Osaka University, revised Nov 2021.
      • Hanaki, Nobuyuki, 2022. "Risk misperceptions of structured financial products with worst-of payout characteristics revisited," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
   2. Doron Sonsino & Yaron Lahav & Yefim Roth, 2022. "Reaching for Returns in Retail Structured Investment," Management Science, INFORMS, vol. 68(1), pages 466-486, January.
   3. Rosella Castellano & Marco Mancinelli & Giorgia Ponsi & Gaetano Tieri, 2021. "What if versus probabilistic scenarios: a neuroscientific analysis," Annals of Operations Research, Springer, vol. 299(1), pages 331-347, April.

8. Castellano, Rosella & Cerqueti, Roy, 2011. "The optimal bid/ask spread in a Specialist System," Economic Modelling, Elsevier, vol. 28(5), pages 2247-2253, September.

   Cited by:

   1. Zhang, Wei & Huang, Ke & Feng, Xu & Zhang, Yongjie, 2017. "Market maker competition and price efficiency: Evidence from China," Economic Modelling, Elsevier, vol. 66(C), pages 121-131.
   2. Hevér, Judit, 2020. "A piaci likviditás és a szabályozás kapcsolatának vizsgálata általános egyensúlyelméleti modellkeretben [The effect of regulation on market liquidity: a general equilibrium approach]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 708-733.

9. Castellano, Rosella & Giacometti, Rosella, 2001. "Performance of a Hedged Stochastic Portfolio Model in the Presence of Extreme Events," Computational Economics, Springer;Society for Computational Economics, vol. 17(2-3), pages 239-252, June.

   Cited by:

   1. Deepika Krishnan & Raju G, 2018. "Performance Analysis of Volatile Strategy under Indian Options Market," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 9(1), pages 87-94, January.
   2. Margareta Gardijan Kedžo & Boško Šego, 2021. "The relative efficiency of option hedging strategies using the third-order stochastic dominance," Computational Management Science, Springer, vol. 18(4), pages 477-504, October.

Chapters

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Books

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More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 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-CBA: Central Banking (1) 2010-01-23
2. NEP-CMP: Computational Economics (1) 2010-12-23
3. NEP-ECM: Econometrics (1) 2008-11-25
4. NEP-EEC: European Economics (1) 2016-03-23
5. NEP-FIN: Finance (1) 1999-07-12
6. NEP-IFN: International Finance (1) 2010-01-23

Corrections

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