Experts in Vega’s data science and statistics expert network apply empirical methods to complex datasets. The Vega team has vast experience managing large-scale datasets consisting of both structured and unstructured data. By developing rigorous, client-focused solutions, the Vega team helps our clients achieve superior results.

Statistical Analysis & Sampling

Vega develops and implements empirical analyses to answer our client’s economic and financial questions. We rely on flexible, robust, and defensible statistical techniques to address a wide range of issues including sampling, simulation, survival analysis, and other statistical techniques.

Big Data Management

Vega regularly works with large volumes of data. Our staff and in-house infrastructure have the capabilities to build, maintain, update, and most importantly, leverage extensive data to meet client needs. Our expertise enables us to conduct efficient and informative analytics. Our team is skilled at processing, normalizing, and enriching data. We also have experience maintaining datasets with billions of observations spanning many years. 

Web Scraping and Data Collection

Vega researches and collects large amounts of publicly available data. Drawing on our experience and creativity, we perform focused searches to identify and gather relevant and informative data unique to each engagement. Our team uses proprietary tools to scrape and compile custom datasets that address the needs of every client.

Text & Sentiment Analysis

Our team has experience analyzing and interpreting extracted text using sentiment analyses. We are able to build algorithms to classify millions of pages of documents and use proprietary tools to identify, categorize, index, and compile relevant documents based on content. In several engagements, Vega economists have also employed modern sentiment analysis.

Data Visualization

The Vega team creates intuitive, aesthetic, and compelling visualizations. Utilizing our programmatic dexterity, we make complex concepts accessible to all audiences. Our team is also able to streamline revisions and ensure consistency in visualizations by automating the generation process.

Artificial Intelligence (AI) & Machine Learning (ML)

Vega uses cutting edge AI and ML technology to guide data-driven analyses. By using complex state-of-the-art data science methods, we are able to process and analyze large volumes of complex information while reducing subjectivity and error. Our approach allows us to automate complex tasks and customize analysis of large datasets.

Below is a list of example engagements for our Data Science & Statistics practice:

Daniel Bauer

Hickman-Larson Chair in Actuarial Science and Associate Professor of Risk and Insurance at Wisconsin School of Business, University of Wisconsin-Madison

  • Data Science & Statistics
  • Insurance & Risk
Mark J. Browne

Robert Clements Distinguished Chair in Risk Management and Insurance, Tobin College of Business at St. John's University

  • Data Science & Statistics
  • Insurance & Risk
Wenbiao Cai

Director, Vega Economics

  • Data Science & Statistics
  • Labor & Employment
  • Agriculture
Daphne Chen

Managing Director, Vega Economics

  • Consumer Finance
  • Corporate Finance
  • Data Science & Statistics
  • Labor & Employment
  • Securities & Finance
Frederico Finan

Associate Professor at the University of California, Berkeley

  • Data Science & Statistics
Timothy C. Haab

Dean's Chair for Transformative Initiatives and Professor and Chair of Agricultural, Environmental, and Development Economics at Ohio State University

  • Energy, Environment, and Natural Resources
  • Environmental, Social, and Governance (ESG)
  • Agriculture
  • Valuation
  • Data Science & Statistics
Paul Hanouna

Associate Professor in the Department of Finance of the Villanova School of Business at Villanova University

  • Intellectual Property
  • Antitrust & Competition
  • Corporate Finance
  • Securities & Finance
  • Data Science & Statistics
  • Financial Institutions
  • Real Estate
John Haut

  • Valuation
  • Data Science & Statistics
  • Securities & Finance
Haim Kassa

Associate Professor of Finance at the Farmer School of Business, Miami University

  • Securities & Finance
  • Antitrust & Competition
  • Data Science & Statistics
  • Financial Institutions
  • Valuation
Petter Kolm

Director of the Mathematics in Finance Master's program and a Clinical Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University; Partner at CorePoint.

  • FinTech, Blockchain, and Cryptocurrency
  • Securities & Finance
  • Financial Institutions
  • Data Science & Statistics
  • Valuation
Richard Libby

Founding Director, Perihelion Capital Advisors

  • Corporate Finance
  • Data Science & Statistics
  • Financial Institutions
Xiaodong Liu

Associate Professor in the Department of Economics, University of Colorado, Boulder

  • Data Science & Statistics
Donald M. May

Managing Partner at DMA Economics LLC

  • Securities & Finance
  • Valuation
  • Intellectual Property
  • Data Science & Statistics
Cecilia Mo

Assistant Professor of Political Science at University of California, Berkeley

  • Data Science & Statistics
Michael A. Sadler

Senior lecturer in the Department of Finance and the Department of Economics at the McCombs School of Business at University of Texas at Austin

  • Energy, Environment, and Natural Resources
  • Data Science & Statistics
  • Valuation
Amir Sadr

University Lecturer at NYU Courant; Partner at CorePoint

  • Data Science & Statistics
  • Valuation
  • Securities & Finance
  • Financial Institutions
  • FinTech, Blockchain, and Cryptocurrency
Dan Scheitrum

Assistant Professor at Cal Poly San Luis Obispo

  • Agriculture
  • Antitrust & Competition
  • Data Science & Statistics
  • Labor & Employment
Shu Shen

Associate Professor in the Department of Economics, University of California, Davis

  • Data Science & Statistics
  • Labor & Employment
Jay Vadiveloo

Professor at the University of Connecticut and Director of the Janet & Mark L Goldenson Center for Actuarial Research at the University of Connecticut

  • Data Science & Statistics
  • Insurance & Risk
Andrew Zuppann

Principal, Vega Economics

  • Labor & Employment
  • Securities & Finance
  • Data Science & Statistics
  • Antitrust & Competition
  • Healthcare & Health Economics
January 19, 2024 | Brochure
2023 Year in Review

We had the privilege of supporting numerous exceptional experts from diverse fields in 2023 and were delighted to welcome several new experts into our network. To delve into our achievements over the past year, you can find more details in our 2023 Year in Review brochure.

January 12, 2024 | Expertise
Healthcare Data Providers

This compilation explores the offerings of prominent healthcare data providers.

December 1, 2023 | Expertise
Navigating the Realities of AI Pricing: Insights from Economists

In the rapidly evolving landscape of AI pricing, economists can help untangle the complexities associated with algorithm-driven pricing strategies. Let's delve into the way economic analysis can address complex questions in both the business and litigation contexts.

November 13, 2023 | Expertise
The Role of Economists in Trading & Investments Litigation

Vega Economics discusses the several different roles that economists apply their expertise in economic theory, data analysis, and financial markets to litigation cases.

February 15, 2023 | Expertise
In the Spotlight: Collection and Visualization of Securities Data

Using proprietary tools, Vega creates customized datasets and clear and informative visualizations. Check out our article where we highlight three example visualizations!

January 23, 2023 | Expertise
Survey Implementation and Administration Capacities

Vega Economics is well-equipped with the capabilities and experience to efficiently assist our experts in designing and implementing surveys to reliably address the distinct issues in each case. Check out our Survey Implementation and Administration Capacities brochure to learn more about how the Vega team and experts approach surveys.

August 29, 2022 | Article
Relocation of Corporate Headquarters Across U.S.: 2009-2021

In this article, we present some facts about how publicly traded companies moved their headquarters across U.S. state lines during the period 2009-2021. The data shows that by the end of 2021, California had accumulated a net loss of 70 headquarters. After California, states with the highest cumulative loss of corporate headquarters are New York, Nevada, and Utah. 

April 18, 2022 | Expertise
Trade Surveillance Capacities

Trade surveillance has become an essential tool for detecting unusual activity in financial transactions. Vega Economics has extensive experience in this area and we have worked on the leading edge of data driven analysis for trade surveillance and monitoring. Check out our Trade Surveillance Capacities brochure for more details.

January 28, 2022 | Brochure
2021 Year in Review

As we look back on our practice throughout 2021, we are proud of the variety of issues our work has covered. We had the opportunity to support several outstanding experts from a variety of disciplines and welcomed several new experts to our network. You’ll learn more about our work last year in this brochure, our 2021 Year in Review.

December 7, 2021 | Featured Engagement
Featured Engagement: Data Collection and Management for Frederick County, Maryland

Vega Economics was retained by Frederick County, Maryland to provide data collection, data management, and data augmentation services. Vega’s work product will assist the county in a disparity study. 

November 8, 2021 | Event
Dr. Andrew Zuppann Presents at the 2021 Vizient Connections Summit

Vega Principal Andrew Zuppann will present at this year’s 2021 Vizient Connections Summit in Las Vegas on November 15-18.

July 16, 2021 | Article
The Importance of Expert Economists in Spoofing Litigation

Regulatory and enforcement agencies, market exchanges, and at least one private party have brought legal actions for alleged spoofing in futures markets. To meet applicable standards of proof, attorneys are increasingly turning to expert testimony regarding statistics and econometrics to prove and refute spoofing allegations in litigation.

May 7, 2021 | Featured Expert
Dr. Haim Kassa, Associate Professor of Finance at the Farmer School of Business, Miami University

Our featured expert, Haim Kassa, is is an expert in the areas of investments and portfolio management and he is experienced in the design and testing of trading strategies using historical firm level data from the stock, bond, and option markets.

February 17, 2021 | Brochure
Data Analytics Capacities and Practices

To facilitate the most impactful analyses with big data, one needs more than powerful computers and fancy data tools. Check out Vega's Data Analytics capacities about how we are better at categorizing data, identifying gaps in data, troubleshooting, as well reading data and data results.

December 3, 2020 | Article
Predicting Consumers' Choices in the Age of the Internet, AI, and Almost Perfect Tracking: Some Things Change, the Key Challenges Do Not

Vega expert Professor David Gal provides insight into the limits of artificial intelligence, machine learning, and big data, as well as those of traditional survey and experimental methods, in predicting consumer choices.