VTechWorks

VTechWorks provides global access to Virginia Tech scholarship, including journal articles, books, theses, dissertations, conference papers, slide presentations, technical reports, working papers, administrative documents, videos, images, and more by faculty, students, and staff. Faculty can deposit items to VTechWorks from Elements, including journal articles covered by the University open access policy. Email vtechworks@vt.edu for help.


 
Open Access Policy

Open Access Policy

Virginia Tech's open access policy enables researchers to deposit the accepted version of scholarly articles with no embargo.


Theses and Dissertations

Theses and Dissertations

Virginia Tech was first in the world to require ETDs in 1997, and continues to add scans of older theses and dissertations.


Open Textbooks

Open Textbooks

More than 50 freely available and openly licensed textbooks are among our most downloaded items.


Recent Submissions

Thumbnail Image
CPES 2025 Annual Report
(Virginia Tech, 2025)
The CPES Annual Report includes research projects, alumni, honors & achievements and publications conducted over the prior year.
Thumbnail Image
Center for Soft Matter and Biological Physics Annual Report - Fiscal Year 2025
(Virginia Tech, 2025)
The Center for Soft Matter and Biological Physics was chartered on February 12, 2016. This annual report covers the period July 1, 2024, through June 30, 2025.
Thumbnail Image
Corps Review, Spring 2025
(Virginia Tech, 2025)
This is the alumni magazine for the Virginia Tech Corps of Cadets.
Thumbnail Image
Corps Review, Fall 2025
(2025)
This the alumni magazine for the Virginia Tech Corps of Cadets.
Stock performance prior to Federal holidays
Boylan, Daniel H.; Cline, Jeffrey; Albertson, Nikolas L. (North American Business Press, 2023-06-01)
The purpose of this study is to understand the impact of Federal holidays on a stock price. This research analyzed stock performance for the five trading days before each of the ten Federal holidays. Forty data points are found by the difference between a buy price (six days before a holiday) and a selling price (one day before a holiday). A 95% confidence interval is calculated using the difference of two sample means of the buy and sell prices. The mean of the buy prices is 62.48, and the mean of the sell prices is 61.92. The confidence interval of the difference between these samples means is -20.15 and 21.28. The study found that specific stocks have reliable and significant trends in the relationship with specific Federal holidays. These trends are highly investable because of reliability and significance, though only in specific cases does there exist investable opportunities.