Michael Stephen Lachanski : Citation Profile


Are you Michael Stephen Lachanski?

Princeton University

3

H index

1

i10 index

36

Citations

RESEARCH PRODUCTION:

2

Articles

1

Papers

RESEARCH ACTIVITY:

   2 years (2016 - 2018). See details.
   Cites by year: 18
   Journals where Michael Stephen Lachanski has often published
   Relations with other researchers
   Recent citing documents: 10.    Total self citations: 0 (0 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pla759
   Updated: 2024-11-08    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)

Raux, Morgan (1)

Talavera, Oleksandr (1)

Salisu, Afees (1)

HU, YANG (1)

Corbet, Shaen (1)

Sardar, Naafey (1)

Tannenbaum, Daniel (1)

Phongthiengtham, Phai (1)

Lublóy, Ágnes (1)

Sotelo, Sebastian (1)

Cites to:

Borjas, George (7)

Clemens, Michael (6)

Hunt, Jennifer (6)

Peri, Giovanni (5)

Ruist, Joakim (5)

Jaeger, David (5)

Stuhler, Jan (5)

Chassamboulli, Andri (3)

Abraham, Katharine (3)

Waldmann, Robert (2)

Wurgler, Jeffrey (2)

Main data


Where Michael Stephen Lachanski has published?


Recent works citing Michael Stephen Lachanski (2024 and 2023)


YearTitle of citing document
2024Detection of financial opportunities in micro-blogging data with a stacked classification system. (2024). Gonz, Francisco J ; Garc, Silvia ; de Arriba, Francisco. In: Papers. RePEc:arx:papers:2404.07224.

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2023Information 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.

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2023Investor climate sentiment and financial markets. (2023). Santi, Caterina. In: International Review of Financial Analysis. RePEc:eee:finana:v:86:y:2023:i:c:s1057521923000066.

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2023Semi-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.

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2023COVID-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.

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2023.

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2023When 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.

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2023Analysis 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.

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Works by Michael Stephen Lachanski:


YearTitleTypeCited
2016Trade the tweet: Social media text mining and sparse matrix factorization for stock market prediction In: International Review of Financial Analysis.
[Full Text][Citation analysis]
article26
2017Shy of the Character Limit: Twitter Mood Predicts the Stock Market Revisited In: Econ Journal Watch.
[Full Text][Citation analysis]
article4
2018Job 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]
paper6

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