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Full-Text Articles in Business
Estimating Truncated Hotel Demand: A Comparison Of Low Computational Cost Forecasting Methods, Yue Ding
Estimating Truncated Hotel Demand: A Comparison Of Low Computational Cost Forecasting Methods, Yue Ding
Open Access Theses
The aim of this thesis is to evaluate the effectiveness of six selected low computational cost hotel demand forecasting methods (SA, SMA, EMA, DEMA, BP and PU) in terms of restoring truncated demand data, and then identify a low-cost and easy to follow demand forecasting method that can be used by U.S. independent hotels. Obtaining revenue gains by applying demand forecasting techniques have been proved by many studies in hospitality and other related industries. However, few studies have focused on low computational forecasting methods' comparison in hospitality field. For this reason, the author decided to test the performance of six …
Two Essays On Insider Trading And Option Grants Around The Filing Of Influential Patents, Liu Pan
Two Essays On Insider Trading And Option Grants Around The Filing Of Influential Patents, Liu Pan
Doctoral Dissertations
Research documents that insiders, who have access to private information, appear to trade with profits before major corporate events like mergers, bankruptcy, dividend announcements, and future cash flow news (see, e.g., Seyhun, 1990; Seyhun and Bradley, 1997; John and Lang, 1991; Jiang and Zaman, 2010). Another recent stream of studies find that the size and quality of a firm's patent portfolio are positively related to the firm's future stock returns (Hirshleifer, Hsu, and Li, 2012; Pandit, Wasley, and Zach, 2011). However, there is little systematic evidence on whether insiders act opportunistically when they possess private information about the firm's patent …
Two Essays On Insider Trading And Option Grants Around The Filing Of Influential Patents, Liu Pan
Two Essays On Insider Trading And Option Grants Around The Filing Of Influential Patents, Liu Pan
Doctoral Dissertations
Research documents that insiders, who have access to private information, appear to trade with profits before major corporate events like mergers, bankruptcy, dividend announcements, and future cash flow news (see, e.g., Seyhun, 1990; Seyhun and Bradley, 1997; John and Lang, 1991; Jiang and Zaman, 2010). Another recent stream of studies find that the size and quality of a firm's patent portfolio are positively related to the firm's future stock returns (Hirshleifer, Hsu, and Li, 2012; Pandit, Wasley, and Zach, 2011). However, there is little systematic evidence on whether insiders act opportunistically when they possess private information about the firm's patent …