S
Salil K. Sarkar
Researcher at University of Texas at Arlington
Publications - 31
Citations - 752
Salil K. Sarkar is an academic researcher from University of Texas at Arlington. The author has contributed to research in topics: Event study & Financial market. The author has an hindex of 15, co-authored 31 publications receiving 699 citations. Previous affiliations of Salil K. Sarkar include Henderson State University & Southeastern Louisiana University.
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Do internet stock message boards influence trading? Evidence from heavily discussed stocks with no fundamental news
TL;DR: In this article, the effect of online posting on trading activities and reduce the error due to stocks with small message board followings was examined. But the results showed that message board sentiment is an important predictor of trading-related activities.
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Managements' View on Share Repurchase and Tender Offer Premiums
TL;DR: A Wall Street Journal article reported that $25 billion of buybacks had been announced in the first seven months of 1987, compared to $21 billion in the same period of 1986 and $120 billion since January 1985.
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Online talk: does it matter?
TL;DR: In this paper, the authors examine stocks that are most actively discussed by online posters and see if the messages posted about these stocks have information or if they are just noise, and perform an event study to estimate the daily abnormal returns on these stocks.
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A two-parameter analysis of S-N fatigue life using Δσ and σmax
TL;DR: In this paper, a two-parameter approach in terms of Δσ and σmax is proposed to examine crack nucleation based on the stress-life approach and connect it to crack propagation using the Kitagawa diagram as the incipient crack grows to become a long crack.
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European foreign exchange market efficiency: Evidence based on crisis and noncrisis periods
TL;DR: In this article, the impact of foreign exchange market efficiency of the 1992 European financial market crisis by studying precrisis, crisis, and postcrisis periods is investigated, and long-term relationships among European currency values are identified during the three periods.