- But-For Analysis – Conceptualizing the baseline scenario to measure damages accurately.
- Lost Profits vs. Reasonable Royalties – Understanding when to apply different damage estimation methodologies, particularly in intellectual property and patent disputes.
- Market Dynamics – Assessing how industry-specific factors, such as seasonality or competitor entry, affect the damage window.
- Advanced concepts – Understanding how to account for mitigation of damages (steps the injured party took or should have taken to minimize losses) and applying appropriate discount rates to future lost cash flows.
Example scenario
"A major pharmaceutical company is sued for delaying the market entry of a generic competitor. How would you structure an analysis to estimate the financial damages suffered by consumers and insurers due to this delay?"
Financial Markets & Valuation
Many of the firm's cases involve complex financial instruments, securities class actions, and corporate transactions. You will be evaluated on your financial literacy and asset valuation principles.
What "strong performance" looks like
You should demonstrate a clear understanding of market efficiency and how public information impacts asset pricing. When presented with financial instruments like interest rate swaps or mortgage-backed securities, you should be able to reason through how macroeconomic shifts (e.g., interest rate changes) affect their value.
- Event Studies – Understanding how to measure the impact of a specific corporate disclosure on a company's stock price.
- Securities Valuation – Analyzing the underlying assets and cash flows that determine the value of complex financial products.
- Market Efficiency – Evaluating whether a market quickly and accurately reflects all publicly available information.
- Advanced concepts – Familiarity with the transition away from benchmark rates (such as LIBOR) and understanding the mechanics of derivative valuation under volatile market conditions.
Example scenario
"An investment bank is accused of misrepresenting the risk profile of a portfolio of mortgage-backed securities prior to the 2008 financial crisis. What data and quantitative methods would you use to assess whether the buyer suffered damages directly attributable to the bank's disclosures?"
Quantitative Methods & Econometrics
As a Business Analyst, you will spend a significant amount of time working with data and statistical models. Interviewers will test your quantitative reasoning and familiarity with econometrics.
What "strong performance" looks like
You must be able to interpret regression tables, discuss statistical significance, and identify potential modeling issues such as endogeneity, multicollinearity, or selection bias. Strong candidates do not just explain the math; they explain the economic meaning behind the statistical outputs.
- Regression Interpretation – Explaining coefficients, p-values, R-squared, and confidence intervals in plain English.
- Variable Selection – Identifying relevant independent variables and explaining the risks of omitting key control variables.
- Data Visualization – Reading and drawing sharp, logical insights from complex charts, trends, and data tables.
- Advanced concepts – Understanding instrumental variables, difference-in-differences estimation, and how to handle non-random sample selection in litigation datasets.
Example scenario
"You are given a regression output estimating the effect of a merger on retail prices. The coefficient on the merger variable is positive and statistically significant, but the R-squared is very low. How do you interpret these results, and what additional tests would you run?"
Behavioral & Firm Alignment
In addition to technical prowess, Cornerstone Research looks for candidates who thrive in a collaborative, intellectually demanding environment and are genuinely passionate about economic consulting.
What "strong performance" looks like
You should articulate a clear, compelling reason for choosing economic consulting over traditional management consulting or investment banking. Your behavioral stories should highlight your intellectual curiosity, attention to detail, ability to handle ambiguous problems, and collaborative working style.
- Why Economic Consulting? – Demonstrating a genuine interest in the intersection of economics, data, and law.
- Research Experience – Talking passionately and deeply about your academic research, thesis, or quantitative projects.
- Teamwork & Adaptability – Showing how you navigate group dynamics, handle constructive criticism, and support colleagues.
- Advanced concepts – Explaining complex technical or academic concepts to a non-technical audience, simulating how an analyst supports an expert witness.
Example scenario
"Why do you want to work at Cornerstone Research specifically, and how does your past academic research experience prepare you for the unique challenges of analyzing data for expert legal testimony?"