Improved Methods for Tests of Long-Run Abnormal Stock Returns  

Oleh:

Lyon, John D. ; Barber, Brad M. ; Chih-Ling, Tsai

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Journal of Finance (EBSCO) vol. 54 no. 1 (Feb. 1999), page 165-201.
Fulltext: p 165.pdf (206.71KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ88 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

We analyze tests for long-run abnormal returns and document that two approaches yield well-specified test statistics in random samples. The first uses a traditional event study framework and buy-and-hold abnormal returns calculated using carefully constructed reference portfolios. Inference is based on either a skewnessadjusted t-statistic or the empirically generated distribution of long-run abnormal returns. The second approach is based on calculation of mean monthly abnormal returns using calendar-time portfolios and a time-series t-statistic. Though both approaches perform well in random samples, misspecification in nonrandom samples is pervasive. Thus, analysis of long-run abnormal returns is treacherous.

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