Accessing Tech Startup Financing in Texas
GrantID: 78148
Grant Funding Amount Low: $75,000
Deadline: Ongoing
Grant Amount High: $75,000
Summary
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Grant Overview
Texas maintains a distinct position in financial economics research due to its concentration of energy sector firms and venture capital networks along the I-35 corridor between Austin and Dallas. Researchers seeking the biennial award must demonstrate that their published work directly tests asset pricing models or capital structure theories against data from Texas-headquartered technology companies that have raised Series B or later rounds since 2010.
Eligibility requires that the paper appear in a recognized finance or economics journal within the prior 15 years and that at least one co-author hold a faculty or research appointment at a Texas institution during the period of data collection. Submissions centered on tech startup financing must incorporate Texas-specific datasets such as those from the Texas Emerging Technology Fund or private placement records filed with the Texas State Securities Board.
Application materials include a cover letter that specifies how the paper's empirical tests address funding gaps for early-stage Texas firms, a PDF of the published article, and verification of institutional affiliation. Reviewers examine whether the theoretical contribution aligns with observed patterns in Texas venture markets, where seed-stage capital deployment has averaged 18 percent annual growth since 2015 while Series A completion rates remain below the national median.
Work that integrates Texas Comptroller data on high-technology employment concentrations in Travis, Dallas, and Harris counties receives closer scrutiny. Authors must also supply replication code and dataset documentation showing robustness checks against Texas-specific regulatory changes, such as the 2017 franchise tax revisions affecting startup cost of capital.
The award committee evaluates fit by comparing the paper's findings against Texas venture exit multiples, which have historically exceeded national averages by 1.4 times in software and semiconductor categories. Papers that merely apply national datasets without Texas calibration are not advanced.
Eligible Regions
Interests
Eligible Requirements
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