Irina M. Luneva

Ph.D. Candidate in Accounting

I am a Ph.D. candidate in Accounting at the Wharton School, University of Pennsylvania. I earned Bachelor of Economics at Lomonosov Moscow State University in Russia and joined Wharton in 2019.

My research interests include debt contracting, information quality, earnings management, and disclosure.
About me


Office address: 360 Steinberg Hall-Dietrich Hall, 3620 Locust Walk, 

Philadelphia, PA, USA, 19104

What Does The Market Know? (2021-present)

I measure how much information market participants have about (1) firm fundamentals and (2) managers' misreporting incentives, and the effects of the market's information on earnings quality and price efficiency. The market knows 81.9% of fundamental and 57.3% of misreporting incentives information contained in current earnings reports before managers issue their current earnings reports. A 1% increase in the market's fundamental information will increase earnings quality by 1.29% and price efficiency by 1.70%. A 1% increase in the market's misreporting incentives information will decrease earnings quality by 0.38% and increase price efficiency by 0.17%. Reported earnings differ from true earnings by 91.7% of the standard deviation of true earnings. An average firm is mispriced by $0.35 billion due to information asymmetry.

A Theoretical Framework for ESG Reporting to Investors (2021-present)

with Henry L. Friedman and Mirko S. Heinle

Revise & resubmit - Journal of Accounting Research

We provide a theoretical framework for reporting of firms' environmental, social, and governance (ESG) activities to investors. In our model, investors receive an ESG report and use it to price the firm. Because the manager is interested in the firm's price, disclosing an ESG report provides effort and greenwashing incentives. We analyze the impact of different reporting characteristics on the firm's price, cash flows, and ESG performance. In particular, we investigate the consequences of whether the report captures ESG inputs or outcomes, how the report aggregates different ESG dimensions, and the manager's tradeoffs regarding ESG efforts and reporting bias. We find that, for example, an ESG report that weights efforts by their impact on the firm's cash flows tends to have a stronger price reaction than an ESG report that focuses on the ESG impact per se. ESG reports aligned with investors' aggregate preferences provide stronger incentives and lead to higher cash flows and ESG than reports that focus on either ESG or cash flow effects individually. Additionally, in the presence of informative financial reporting, ESG reports that focus on ESG impacts lead to the same cash flow and better ESG results than reports focusing on cash flow impacts alone.

Financial Information and Diverging Beliefs (2020-present)

with Mirko S. Heinle and Christopher S. Armstrong

Standard Bayesians' beliefs converge when they receive the same piece of new information. However, when agents have uncertainty about the precision of a signal, their beliefs might instead diverge more despite receiving the same information. We demonstrate that this divergence leads to a unimodal effect of the absolute surprise in the signal on trading volume. We show that this prediction is consistent with the empirical evidence using trading volume around earnings announcements of US firms. We find evidence of elevated volume following moderate surprises and depressed volume following more extreme surprises, a pattern that is more pronounced when investors are more uncertain about earnings' precision. Because investors can disagree even further after receiving the same piece of news, the relationship between news and trading volume is not necessarily linear, suggesting that trading volume may not be an appropriate proxy for market liquidity.

Undergraduate Level Courses 

Strategic Cost Analysis

The Wharton School, University of Pennsylvania

Summer 2021

Graduate Level Courses 

Master Classes: Research in Accounting

Lomonosov Moscow State University

Fall 2021