Showing posts with label Event. Show all posts
Showing posts with label Event. Show all posts

Monday, June 13, 2016

Design the Web: Creating an Event Countdown [repost]




Design the Web: Creating an Event Countdown
Size: 142MB | Duration: 0h 38m | Video: AVC (.mp4) 1280×720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English


A countdown timer is a great way to increase anticipation for a product launch or announcement on your website. In this installment of Design the Web, Chris Converse shows how to add an elegant and responsive countdown using a free jQuery plugin. By customizing the injected HTML from the plugin, and styling the results with CSS, your countdown will work across various time zones, act responsively, and look perfectly integrated into your site. The exercise files—which include a copy of the jQuery Countdown plugin—are free for all members, so get started now.





Tuesday, May 24, 2016

Analyzing Event Statistics in Corporate Finance: Methodologies, Evidences, and Critiques (Repost)




Analyzing Event Statistics in Corporate Finance: Methodologies, Evidences, and Critiques By Jau-Lian Jeng
2015 | 200 Pages | ISBN: 1137397179 | PDF | 1 MB



Analyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance. In contrast to conventional surveys or literature reviews, Jeng focuses on various methodological defects or deficiencies that lead to inaccurate empirical results, which ultimately produce bad corporate policies. This work discusses the issues of data collection and structure, the recursive smoothing for systematic components in excess returns, the choices of event windows, different time horizons for the events, and the consequences of applications of different methodologies. In providing improvement for event studies in corporate finance, and based on the fact that changes in parameters for financial time series are common knowledge, a new alternative methodology is developed to extend the conventionalanalysis to more robust arguments.