Return to search

Two Essays on String of Earnings Benchmarks

Essay 1 Abstract
Prior research indicates that equity markets assign a higher valuation to firms that sustain a string of earnings increases (earnings string) and a string of meeting or beating analysts’ earnings expectations (MBE string). However, to date, there is little evidence on the response of debt investors when firms sustain a long string of meeting/beating earnings benchmarks. This study fills the gap in the literature by analyzing the impact of sustaining an earnings string/MBE string on the cost of debt. I find evidence of a positive (negative) association between the length of the earnings string/MBE string and the bond yield spreads (credit ratings). These results suggest that debt holders assess a higher risk to firms that sustain a string of earnings benchmarks and require a higher risk premium, contrary to equity holders, who reward firms that sustain a string of earnings benchmarks. Additional analyses indicate that this discrepancy is attributable to the different investor compositions between debt and equity markets.
Essay 2 Abstract
This study extends the existing literature by investigating the impact of sustaining a string of earnings increases (earnings string) on stock returns using the time-series asset pricing approach. Using both Fama-French (1993) three-factor and Carhart (1997) four-factor models, I find that the average abnormal return of a zero investment arbitrage portfolio that longs the highest earnings string portfolio and shorts the lowest earnings string portfolio is approximately negative 65 (75) basis points per month. These results provide further insight into the existing literature by demonstrating that earnings string firms initially experience higher stock returns. However, as earnings strings become longer, the market reaction becomes weaker.

Identiferoai:union.ndltd.org:USF/oai:scholarcommons.usf.edu:etd-8448
Date03 April 2018
CreatorsZhang, Yiyang
PublisherScholar Commons
Source SetsUniversity of South Flordia
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceGraduate Theses and Dissertations

Page generated in 0.0023 seconds