Marcelo Perlin

Personal Details

First Name:	Marcelo
Middle Name:
Last Name:	Perlin
Suffix:
RePEc Short-ID:	ppe304
	https://www.msperlin.com/blog/

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. Perlin, Marcelo & Santos, André & Imasato, Takeyoshi & Borenstein, Denis & Da Silva, Sergio, 2017. "The Brazilian scientific output published in journals: A study based on a large CV database," MPRA Paper 79662, University Library of Munich, Germany.
   • Perlin, Marcelo S. & Santos, André A.P. & Imasato, Takeyoshi & Borenstein, Denis & Da Silva, Sergio, 2017. "The Brazilian scientific output published in journals: A study based on a large CV database," Journal of Informetrics, Elsevier, vol. 11(1), pages 18-31.

   Cited by:

   1. Ernesto Galbán-Rodríguez & Déborah Torres-Ponjuán & Yohannis Martí-Lahera & Ricardo Arencibia-Jorge, 2019. "Measuring the Cuban scientific output in scholarly journals through a comprehensive coverage approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1019-1043, November.
   2. Yu-Wei Chang & Dar-Zen Chen & Mu-Hsuan Huang, 2020. "Discovering types of research performance of scientists with significant contributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1529-1552, August.
   3. Xiancheng Li & Wenge Rong & Haoran Shi & Jie Tang & Zhang Xiong, 2018. "The impact of conference ranking systems in computer science: a comparative regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 879-907, August.
   4. Timur Narbaev & Diana Amirbekova, 2021. "Research Productivity in Emerging Economies: Empirical Evidence from Kazakhstan," Publications, MDPI, vol. 9(4), pages 1-19, November.
   5. Borenstein, Denis & Perlin, Marcelo S. & Imasato, Takeyoshi, 2022. "The Academic Inbreeding Controversy: Analysis and Evidence from Brazil," Journal of Informetrics, Elsevier, vol. 16(2).
   6. Yu-Wei Chang, 2021. "Characteristics of high research performance authors in the field of library and information science and those of their articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3373-3391, April.
   7. Marcelo S. Perlin & Takeyoshi Imasato & Denis Borenstein, 2018. "Is predatory publishing a real threat? Evidence from a large database study," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 255-273, July.

2. Perlin, Marcelo & Schanz, Jochen, 2011. "System-wide liquidity risk in the United Kingdom’s large-value payment system: an empirical analysis," Bank of England working papers 427, Bank of England.

   Cited by:

   1. Lana Embree & Varya Taylor, 2015. "Examining Full Collateral Coverage in Canada’s Large Value Transfer System," Staff Working Papers 15-29, Bank of Canada.
   2. Constanza Martínez & Freddy Cepeda, 2015. "Reaction Functions of the Participants in Colombia’s Large-value Payment System," Borradores de Economia 12651, Banco de la Republica.
      • Constanza Martínez & Freddy Cepeda, 2015. "Reaction Functions of the Participants in Colombia’s Large-value Payment System," Borradores de Economia 875, Banco de la Republica de Colombia.

3. Perlin, M., 2007. "M of a kind: A Multivariate Approach at Pairs Trading," MPRA Paper 8309, University Library of Munich, Germany.

   Cited by:

   1. Weiguang Han & Boyi Zhang & Qianqian Xie & Min Peng & Yanzhao Lai & Jimin Huang, 2023. "Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning," Papers 2301.10724, arXiv.org, revised Feb 2023.
   2. Bolgun, Evren & Kurun, Engin & Guven, Serhat, 2009. "Dynamic Pairs Trading Strategy For The Companies Listed In The Istanbul Stock Exchange," MPRA Paper 19887, University Library of Munich, Germany.
   3. Chenyanzi Yu & Tianyang Xie, 2021. "Multivariate Pair Trading by Volatility & Model Adaption Trade-off," Papers 2106.09132, arXiv.org.
   4. Krauss, Christopher, 2015. "Statistical arbitrage pairs trading strategies: Review and outlook," FAU Discussion Papers in Economics 09/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   5. Hongshen Yang & Avinash Malik, 2024. "Optimal market-neutral currency trading on the cryptocurrency platform," Papers 2405.15461, arXiv.org, revised Aug 2024.
   6. Haican Diao & Guoshan Liu & Zhuangming Zhu, 2020. "Research on a stock-matching trading strategy based on bi-objective optimization," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-14, December.
   7. Stübinger, Johannes & Mangold, Benedikt & Krauss, Christopher, 2016. "Statistical arbitrage with vine copulas," FAU Discussion Papers in Economics 11/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   8. Fernando Caneo & Werner Kristjanpoller, 2021. "Improving statistical arbitrage investment strategy: Evidence from Latin American stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4424-4440, July.

4. Perlin, M., 2007. "Evaluation of pairs trading strategy at the Brazilian financial market," MPRA Paper 8308, University Library of Munich, Germany.

   Cited by:

   1. Alessia Naccarato & Andrea Pierini & Giovanna Ferraro, 2021. "Markowitz portfolio optimization through pairs trading cointegrated strategy in long-term investment," Annals of Operations Research, Springer, vol. 299(1), pages 81-99, April.
   2. Perlin, M., 2007. "M of a kind: A Multivariate Approach at Pairs Trading," MPRA Paper 8309, University Library of Munich, Germany.
   3. Hossein Rad & Rand Kwong Yew Low & Robert Faff, 2016. "The profitability of pairs trading strategies: distance, cointegration and copula methods," Quantitative Finance, Taylor & Francis Journals, vol. 16(10), pages 1541-1558, October.
   4. Masood Tadi & Irina Kortchmeski, 2021. "Evaluation of Dynamic Cointegration-Based Pairs Trading Strategy in the Cryptocurrency Market," Papers 2109.10662, arXiv.org.
   5. Fabio Pizzutilo, 2013. "A Note on the Effectiveness of Pairs Trading For Individual Investors," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 763-771.
   6. Estefanía Montoya-Cruz & José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Ángel Sánchez-Granero, 2020. "Exploring Arbitrage Strategies in Corporate Social Responsibility Companies," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
   7. Bolgun, Evren & Kurun, Engin & Guven, Serhat, 2009. "Dynamic Pairs Trading Strategy For The Companies Listed In The Istanbul Stock Exchange," MPRA Paper 19887, University Library of Munich, Germany.
   8. Laila Taskeen Qazi & Atta Ur Rahman & Saleem Gul, 2015. "Which Pairs of Stocks should we Trade? Selection of Pairs for Statistical Arbitrage and Pairs Trading in Karachi Stock Exchange," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(3), pages 215-244.
   9. Marianna Brunetti & Roberta De Luca, 2023. "Pairs trading in the index options market," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 145-173, March.
      • Marianna Brunetti & Roberta De Luca, 2021. "Pairs Trading In The Index Options Market," CEIS Research Paper 512, Tor Vergata University, CEIS, revised 02 Sep 2021.
   10. Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun, 2017. "Searching for Inefficiencies in Exchange Rate Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 405-432, March.
   11. Krauss, Christopher, 2015. "Statistical arbitrage pairs trading strategies: Review and outlook," FAU Discussion Papers in Economics 09/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
   12. João Frois Caldeira & Gulherme Valle Moura, 2013. "Selection of a Portfolio of Pairs Based on Cointegration: A Statistical Arbitrage Strategy," Brazilian Review of Finance, Brazilian Society of Finance, vol. 11(1), pages 49-80.
   13. Bruno Breyer Caldas & João Frois Caldeira & Guilherme Vale Moura, 2016. "Is Pairs Trading Performance Sensitive To The Methodologies?: A Comparison," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 130, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
   14. Lei, Yaoting & Xu, Jing, 2015. "Costly arbitrage through pairs trading," Journal of Economic Dynamics and Control, Elsevier, vol. 56(C), pages 1-19.
   15. Geetu Aggarwal & Navdeep Aggarwal, 2021. "Risk-adjusted Returns from Statistical Arbitrage Opportunities in Indian Stock Futures Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 79-99, March.
   16. Karen Balladares & José Pedro Ramos-Requena & Juan Evangelista Trinidad-Segovia & Miguel Angel Sánchez-Granero, 2021. "Statistical Arbitrage in Emerging Markets: A Global Test of Efficiency," Mathematics, MDPI, vol. 9(2), pages 1-20, January.
   17. Andreas Mikkelsen, 2018. "Pairs trading: the case of Norwegian seafood companies," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 303-318, January.
   18. Sayat R. Baronyan & İ. İlkay Boduroğlu & Emrah Şener, 2010. "Investigation Of Stochastic Pairs Trading Strategies Under Different Volatility Regimes," Manchester School, University of Manchester, vol. 78(s1), pages 114-134, September.
   19. R. Todd Smith & Xun Xu, 2017. "A good pair: alternative pairs-trading strategies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(1), pages 1-26, February.
   20. Fernando Caneo & Werner Kristjanpoller, 2021. "Improving statistical arbitrage investment strategy: Evidence from Latin American stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4424-4440, July.

Articles

1. Marcelo S. Perlin & João F. Caldeira & André A. P. Santos & Martin Pontuschka, 2017. "Can We Predict the Financial Markets Based on Google's Search Queries?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(4), pages 454-467, July.

   Cited by:

   1. Lin, Zih-Ying, 2021. "Investor attention and cryptocurrency performance," Finance Research Letters, Elsevier, vol. 40(C).
   2. Bleher, Johannes & Dimpfl, Thomas, 2022. "Knitting Multi-Annual High-Frequency Google Trends to Predict Inflation and Consumption," Econometrics and Statistics, Elsevier, vol. 24(C), pages 1-26.
   3. Zhang, Tonghui & Yuan, Ying & Wu, Xi, 2020. "Is microblogging data reflected in stock market volatility? Evidence from Sina Weibo," Finance Research Letters, Elsevier, vol. 32(C).
   4. Arjun R & Suprabha KR, 2018. "Predictive modeling of stock indices closing from web search trends," Papers 1804.01676, arXiv.org.
   5. Schaer, Oliver & Kourentzes, Nikolaos & Fildes, Robert, 2019. "Demand forecasting with user-generated online information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 197-212.
   6. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
   7. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
   8. Dhasmana, Samriddhi & Goel, Sandeep, 2023. "The insidious hyperreality in financial markets: An integrative review with evidence from the Indian financial market," International Review of Financial Analysis, Elsevier, vol. 90(C).
   9. Dionisis Th Philippas & Catalin Dragomirescu-Gaina & Stéphane Goutte & Duc Khuong Nguyen, 2021. "Investors’ attention and information losses under market stress," Post-Print hal-03434918, HAL.
      • Philippas, Dionisis & Dragomirescu-Gaina, Catalin & Goutte, Stéphane & Nguyen, Duc Khuong, 2021. "Investors’ attention and information losses under market stress," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1112-1127.
   10. Chumnumpan, Pattarin & Shi, Xiaohui, 2019. "Understanding new products’ market performance using Google Trends," Australasian marketing journal, Elsevier, vol. 27(2), pages 91-103.
   11. Bleher, Johannes & Dimpfl, Thomas, 2019. "Today I got a million, tomorrow, I don't know: On the predictability of cryptocurrencies by means of Google search volume," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 147-159.
   12. Michael Olumekor & Hossam Haddad & Nidal Mahmoud Al-Ramahi, 2023. "The Relationship between Search Engines and Entrepreneurship Development: A Granger-VECM Approach," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
   13. Matheus Pereira Libório & Petr Iakovlevitch Ekel & Carlos Augusto Paiva Martins, 2023. "Economic analysis through alternative data and big data techniques: what do they tell about Brazil?," SN Business & Economics, Springer, vol. 3(1), pages 1-16, January.

2. Ramos, Henrique P. & Perlin, Marcelo S. & Righi, Marcelo B., 2017. "Mispricing in the odd lots market in Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 618-628.

   Cited by:

   1. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

3. Marcelo Perlin & Alfonso Dufour & Chris Brooks, 2014. "The determinants of a cross market arbitrage opportunity: theory and evidence for the European bond market," Annals of Finance, Springer, vol. 10(3), pages 457-480, August.

   Cited by:

   1. Ren, Xiaohang & Xiao, Ya & Duan, Kun & Urquhart, Andrew, 2024. "Spillover effects between fossil energy and green markets: Evidence from informational inefficiency," Energy Economics, Elsevier, vol. 131(C).
   2. Duan, Kun & Li, Zeming & Urquhart, Andrew & Ye, Jinqiang, 2021. "Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
   3. Zhang, Huiming & Qian, Siji & Ma, Zhen, 2024. "An analysis of the market efficiency of the Chinese copper futures based on intertemporal and intermarket arbitrages," International Review of Financial Analysis, Elsevier, vol. 94(C).
   4. Gregory Boadu-Sebbe, 2022. "Effect of Exchange-Traded Funds Arbitrage Transactions on their Underlying Holdings," CERGE-EI Working Papers wp738, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
   5. Li, Johnny Siu-Hang & Ng, Andrew C.Y. & Chan, Wai-Sum, 2015. "Managing financial risk in Chinese stock markets: Option pricing and modeling under a multivariate threshold autoregression," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 217-230.

4. Perlin, Marcelo & Brooks, Chris & Dufour, Alfonso, 2014. "On the performance of the tick test," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 42-50.

   Cited by:

   1. Jurkatis, Simon, 2020. "Inferring trade directions in fast markets," Bank of England working papers 896, Bank of England.
   2. Araújo, Gustavo Silva & Barbedo, Claudio Henrique da S. & Vicente, José Valentim M., 2014. "The adverse selection cost component of the spread of Brazilian stocks," Emerging Markets Review, Elsevier, vol. 21(C), pages 21-41.
      • Gustavo Silva Araújo & Claudio Henrique da Silveira Barbedo & José Valentim Machado Vicente, 2011. "The Adverse Selection Cost Component of the Spread of Brazilian Stocks," Working Papers Series 263, Central Bank of Brazil, Research Department.
   3. Jurkatis, Simon, 2022. "Inferring trade directions in fast markets," Journal of Financial Markets, Elsevier, vol. 58(C).
   4. Ben Omrane, Walid & Welch, Robert, 2016. "Tick test accuracy in foreign exchange ECN markets," Research in International Business and Finance, Elsevier, vol. 37(C), pages 135-152.

5. Marcelo Perlin, 2013. "The effects of the introduction of market makers in the Brazilian equity market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 11(2), pages 281-304.

   Cited by:

   1. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

6. Fernanda Gomes Victor & Marcelo Scherer Perlin & Mauro Mastella, 2013. "Commonalities in Liquidity: Evidence and Intraday Patterns in the Brazilian Market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 11(3), pages 375-398.

   Cited by:

   1. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

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-MST: Market Microstructure (3) 2008-04-21 2010-06-26 2010-06-26
2. NEP-BAN: Banking (1) 2011-06-11
3. NEP-CBA: Central Banking (1) 2011-06-11
4. NEP-EEC: European Economics (1) 2010-06-26
5. NEP-FMK: Financial Markets (1) 2010-06-26
6. NEP-SOG: Sociology of Economics (1) 2017-06-18

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