Citation profile for Michael Stephen Lachanski

Michael Stephen Lachanski : Citation Profile

Princeton University

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Citations

RESEARCH PRODUCTION:

Articles

Papers

RESEARCH ACTIVITY:

   2 years (2016 - 2018). See details.
   Cites by year: 16
   Journals where Michael Stephen Lachanski has often published
   Relations with other researchers
   Recent citing documents: 8.    Total self citations: 0 (0 %)

MORE DETAILS IN:

EconPapers Author's homepage

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pla759
   Updated: 2024-01-16    RAS profile: 2020-04-20
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Michael Stephen Lachanski.

Is cited by:

Lopez-Bazo, Enrique (2)

Atalay, Enghin (1)

Corbet, Shaen (1)

Lublóy, Ágnes (1)

Talavera, Oleksandr (1)

Sotelo, Sebastian (1)

Shen, Dehua (1)

Raux, Morgan (1)

Oxley, Les (1)

Oloko, Tirimisiyu (1)

Salisu, Afees (1)

Cites to:

Borjas, George (7)

Hunt, Jennifer (6)

Clemens, Michael (6)

Stuhler, Jan (5)

Jaeger, David (5)

Peri, Giovanni (5)

Ruist, Joakim (5)

Chassamboulli, Andri (3)

Abraham, Katharine (3)

Wurgler, Jeffrey (2)

Waldmann, Robert (2)

Main data

Where Michael Stephen Lachanski has published?

Recent works citing Michael Stephen Lachanski (2024 and 2023)

Year	Title of citing document
2023	Information flows and the law of one price. (2023). Talavera, Oleksandr ; Tran, VU ; Fan, Rui. In: International Review of Financial Analysis. RePEc:eee:finana:v:85:y:2023:i:c:s1057521922004161. Full description at Econpapers \|\| Download paper
2023	Investor climate sentiment and financial markets. (2023). Santi, Caterina. In: International Review of Financial Analysis. RePEc:eee:finana:v:86:y:2023:i:c:s1057521923000066. Full description at Econpapers \|\| Download paper
2023	Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models. (2023). Gacesa, Marko ; Wang, Fang. In: International Review of Financial Analysis. RePEc:eee:finana:v:88:y:2023:i:c:s1057521923002089. Full description at Econpapers \|\| Download paper
2023	COVID-19 and stock returns: Evidence from the Markov switching dependence approach. (2023). Abedin, Mohammad Zoynul ; Sharif, Taimur ; Bouteska, Ahmed. In: Research in International Business and Finance. RePEc:eee:riibaf:v:64:y:2023:i:c:s0275531923000089. Full description at Econpapers \|\| Download paper
2023	. Full description at Econpapers \|\| Download paper
2023	When Elon Musk Changes his Tone, Does Bitcoin Adjust Its Tune?. (2023). Duc, Toan Luu. In: Computational Economics. RePEc:kap:compec:v:62:y:2023:i:2:d:10.1007_s10614-021-10230-6. Full description at Econpapers \|\| Download paper
2023	Analysis and prediction of Indian stock market: a machine-learning approach. (2023). Gupta, Varuna ; Pant, Millie ; Srivastava, Shilpa. In: International Journal of System Assurance Engineering and Management. RePEc:spr:ijsaem:v:14:y:2023:i:4:d:10.1007_s13198-023-01934-z. Full description at Econpapers \|\| Download paper
2023	. Full description at Econpapers \|\| Download paper

Works by Michael Stephen Lachanski:

Year	Title	Type	Cited
2016	Trade the tweet: Social media text mining and sparse matrix factorization for stock market prediction In: International Review of Financial Analysis. [Full Text][Citation analysis]	article	23
2017	Shy of the Character Limit: Twitter Mood Predicts the Stock Market Revisited In: Econ Journal Watch. [Full Text][Citation analysis]	article	4
2018	Job Vacancies, the Beveridge Curve, and Supply Shocks: The Frequency and Content of Help-Wanted Ads in Pre- and Post-Mariel Miami In: NBER Working Papers. [Full Text][Citation analysis]	paper	6