I am a Full Professor and the L.H. Penney Chair in Accounting at the UC Berkeley Haas School of Business, where I serve as Chair of the Accounting Group, Co-Faculty Director of the Sustainable & Impact Finance Initiative, and Core Faculty Fellow at the Berkeley Center for Law & Business.
I specialize in interdisciplinary capital markets research spanning accounting, corporate finance, law, and economics. My work centers on corporate financial reporting, financial statement analysis, and valuation at both the firm and market level; extends that fundamentals-based lens to corporate sustainability reporting, carbon accounting, and sustainable finance; and pioneers the integration of financial and alternative data — from satellite imagery to carbon emissions — into forecasting and valuation. My work has opened new lines of research at the intersection of accounting with finance, economics, operations, law, and macroeconomics, and has been recognized twice with the AAA/AICPA Notable Contributions to Accounting Literature Award. Current projects examine the valuation of the AI infrastructure buildout, the capital market consequences of California's emissions disclosure mandate, and the limits of sustainable finance.
These questions run through everything else I do. They anchor my MBA teaching on Financial Data Analysis & Valuation — recognized with U.C. Berkeley's Distinguished Teaching Award, five Earl F. Cheit Awards for Excellence in Teaching, and a place on Fortune's list of top-10 business school professors under 40 — and they shape my executive programs, my work with public and private corporations, my interactions with regulators, and my role as a regular panelist on the Federal Reserve Bank of Philadelphia's Survey of Professional Forecasters.
I work with public and private companies, asset managers and asset owners, law firms, and policy institutions to turn complex financial and alternative data into decisions. Engagements range from keynotes and executive workshops to custom multi-session programs, and have included technology companies, financial data providers, securities regulators, central banks, and national statistical agencies. Executive programs I have developed include Financial Data Analysis for Leaders, Corporate Finance and Reporting for Lawyers, and custom programs for Fortune 500 companies, privately held firms, and startups.
Areas of focus:
The fundamentals and valuation of the AI buildout
Financial statement analysis and corporate valuation
Sustainability reporting, carbon data, and sustainable investing
Corporate finance and financial reporting for lawyers
Nowcasting and forecasting with financial and alternative data
Supply chain links and cross-industry value creation
Firm- and macro-level performance measurement
Recent talk topics include the market valuation of the AI buildout, what California's SB 253 means for corporations and investors, and reading the real economy from corporate financial reports.
I am a co-founder of Yowlo, a public-benefit fintech corporation democratizing financial data analysis and valuation for everyday investors, and a regular panelist on the Federal Reserve Bank of Philadelphia's Survey of Professional Forecasters.
To inquire about an engagement, contact me at panos@haas.berkeley.edu.
How conservative are corporate financial reports and how should conservatism be measured, what are the roles of accruals in financial reporting, and does financial reporting quality enhance investment efficiency? My research shows that widely used measures of conditional conservatism are confounded by scale-related regularities in earnings and return variance, which motivated an analytical framework for identifying conservatism in accounting data. I apply the same lens to identify the distinct roles of accruals in corporate financial reporting and to show that the widely reported link between reporting quality and investment efficiency is an artifact of the estimation approach. Across these questions, the emphasis is on construct validity and placebo testing as tools for identifying the real effects of financial reporting choices. My current work asks whether the assets behind the AI infrastructure buildout are priced to last as long as they are built to last.
“Priced to Last, but Built to Last? The Asset Life Question in the AI Buildout”
Working Paper (2026).
“Accounting for Asymmetry in the Investment–Q Relation: Redux of Financial Reporting Quality and Investment Efficiency”
Published in Management Science (2026).
“Identifying the Roles of Accounting Accruals in Corporate Financial Reporting”
Published in the Journal of Accounting, Auditing, & Finance (2024).
“The Blockchain Evolution and Revolution of Accounting”
Published Book Chapter in Information for Efficient Decision Making: Big Data, Blockchain and Relevance (2021).
“Identifying Conditional Conservatism in Financial Accounting Data: Theory and Evidence”
Published in The Accounting Review (2017).
“Placebo Tests of Conditional Conservatism”
Published in The Accounting Review (2016).
“More Evidence of Bias in Differential Timeliness Estimates of Conditional Conservatism”
Published in The Accounting Review (2011).
What is the link between ESG scores and stock outperformance, how should investors compare carbon performance across sector peers, and how much of corporate exposure to future carbon costs is priced? My research on ESG alpha shows that ESG scores do not change in a vacuum, underscoring the need to disentangle causation from correlation before attributing outperformance to ESG. In carbon accounting and valuation, my work shows how investors can use carbon data to make meaningful sector peer comparisons and build carbon-efficient portfolios, develops the corporate carbon overhang metric as the present value of a firm's expected carbon costs under evolving carbon pricing, and solves for the carbon premium in the cost of capital that would internalize what carbon pricing leaves unpriced. This line of work also examines the capital market implications of emissions disclosure mandates, showing how full-scope emissions disclosure under California's Senate Bill 253 could reshape how investors evaluate carbon performance and allocate capital across sector peers. This work both informs and is informed by my role as Co-Faculty Director of the Sustainable & Impact Finance Initiative.
“Unpriced Carbon Liability and the Limits of Sustainable Finance”
Working Paper (2026).
“ESG Ratings Undermine Portfolio Decarbonization”
Working Paper (2026).
Featured in Morningstar and MarketWatch/Dow Jones.
“What California's Senate Bill 253 Means for Asset Managers”
Published in California Management Review (2026).
“Full Scope Emissions Reporting Mandates and Capital Flows: Prospective Evidence from California’s Senate Bill 253”
Published in Nature Communications Sustainability (2026).
“Corporate Carbon Overhang: Valuing Corporate Exposure to Future Carbon Costs”
Published in Energy Economics (2025).
Data available from the Corporate Carbon Overhang Project.
“Market Returns at Half the Emissions? Using Carbon Data for Sector Peer Comparisons and Carbon-Efficient Indexing”
Published in California Management Review (2025).
“Fundamentals of Carbon Emissions Scaling: Implications for Sector Peer Comparisons and Carbon Efficient Indexing”
Published in Energy Economics (2025).
“Doing Good by Doing Well? The Chicken and Egg Problem in the ESG Alpha Debate”
Published in California Management Review (2024).
“Material ESG Alpha: A Fundamentals-Based Perspective”
Published as Lead Article in The Accounting Review (2024).
Featured in the Wall Street Journal (Streetwise) | Bloomberg, Businessweek Finance | Harvard Law School Forum on Corporate Governance | MSCI Sustainability Institute | S&P Global Market Intelligence.
What is the role of arbitrageurs, short-sales constraints, and ownership structure in information processing and the efficacy of the price discovery process? My evidence underscores the role of short sellers as an important group of capital market participants that can impact the speed of price adjustment to news, especially in speculative market settings: the combination of valuation uncertainty and short-sales constraints generates significant mispricing in the IPO aftermarket, and negative activism by short sellers who uncover corporate fraud serves as an important mechanism for private information revelation. Related work identifies the relaxation of arbitrage constraints as a mechanism through which stock indexing can facilitate information arbitrage and increase price efficiency. A second strand examines the implications of investor attention and accounting expertise for the pricing of mandated DCF disclosures, and shows that unequal access to alternative data—such as satellite imagery available only to sophisticated investors—can increase information asymmetry among market participants. My award-winning MBA course, Financial Data Analysis and Valuation, has been a source of inspiration in this area.
“On the Capital Market Consequences of Big Data: Evidence from Outer Space”
Published in the Journal of Financial & Quantitative Analysis (2025).
Featured in The Atlantic | Haas Newsroom | New Scientist | TechHQ.
“Under the Hood of Activist Fraud Campaigns”
Published in The Accounting Review (2024).
Featured in the Columbia Law School Blue Sky Blog.
“Identifying the Effect of Stock Indexing: Impetus or Impediment to Arbitrage and Price Discovery?”
Published in the Journal of Financial & Quantitative Analysis (2022).
Featured in the Columbia Law School Blue Sky Blog.
“Valuation Uncertainty and Short-Sales Constraints: Evidence from the IPO Aftermarket”
Published in Management Science (2022).
Featured in the Wall Street Journal (Heard On The Street).
“On the Pricing of Mandatory DCF Disclosures: Evidence from Oil and Gas Royalty Trusts”
Published in The Accounting Review (2015).
What is the real-time macro content of corporate financial reports, and how does the stock market value news about economic growth? My research shows that aggregate accounting earnings lead GDP growth, and professional forecasters underuse them; that financial statement analysis of the 100 largest firms takes the pulse of the economy cost-effectively; and that the weekly flow of corporate reports sharpens the dynamic factor models used for nowcasting, especially early in the quarter. On the valuation side, the apparent disconnect between returns and GDP surprises reflects offsetting cash flow and discount rate news; forecast walk-downs arise from asymmetric forecasting difficulty even without strategic bias; and apparent conservatism in the national accounts is an artifact of return variance. The work was recognized with the AAA/AICPA Notable Contributions to Accounting Literature Award and has drawn interest from economists and policymakers. Building on this work, I serve as a regular panelist on the Federal Reserve Bank of Philadelphia's Survey of Professional Forecasters.
“On the Origins of Forecast Walk-Downs: A Macro-to-Micro Perspective”
Published in the Journal of Accounting, Auditing, & Finance (2021).
“Stock Market Returns and GDP News”
Published in the Journal of Accounting, Auditing, & Finance (2021).
“The Real-Time Macro Content of Corporate Financial Reports: A Dynamic Factor Model Approach”
Published in the Journal of Monetary Economics (2021).
“From Micro to Macro: Does Conditional Conservatism Aggregate up in the National Accounts?”
Published in the Journal of Financial Reporting (2016).
“Traffic Volume and Aggregate Economic Activity”
California Department of Transportation Report No. CA16-2854 (2016).
“Taking the Pulse of the Real Economy Using Financial Statement Analysis: Implications for Macro Forecasting and Stock Valuation”
Published in The Accounting Review (2014).
2019 AAA/AICPA Notable Contributions to Accounting Literature Award.
“Accounting Earnings and Gross Domestic Product”
Published in the Journal of Accounting and Economics (2014).
2019 AAA/AICPA Notable Contributions to Accounting Literature Award.
“Detecting News in Aggregate Accounting Earnings: Implications for Stock Market Valuation”
Published in the Review of Accounting Studies (2014).
Featured in Haas Newsroom.
What is the link between litigation risk and corporate governance, what did the JOBS Act do to IPO pricing and investor protection, and what is "good" corporate governance and who gets to decide? My research shows that the link between universal demand laws and management entrenchment is driven by a handful of firms whose governance changes predate the laws, calling into question the literature that uses these laws for identification. The JOBS Act's apparent increase in IPO underpricing reflects market conditions; issuers using its disclosure reliefs raised capital at higher multiples and were more likely to destroy long-term shareholder value. And "synthetic governance" shows that bespoke index funds can offer a market-based way to settle contested governance questions such as dual-class structures. My work here draws on collaborations through the Berkeley Center for Law & Business, where I serve as a Core Faculty Fellow, and on my doctoral seminar, Capital Markets Research in Accounting and Law, offered jointly with Berkeley Law.
“Universal Demand Laws Did Not Increase Management Entrenchment”
Published in the Critical Finance Review (2025).
Featured in the Harvard Law School Forum on Corporate Governance.
“The JOBS Act Did Not Raise IPO Underpricing”
Published in the Critical Finance Review (2022).
Featured in the Columbia Law School Blue Sky Blog.
“Synthetic Governance”
Published in the Columbia Business Law Review (2022).
Featured in the Harvard Law School Forum on Corporate Governance | The Future of Securities Regulation Columbia Business Law Review Symposium.
What are the implications of customer-base concentration for supplier firm performance, stock market valuation, inventory management, and audit pricing and quality? Prior research emphasized the downside of major-customer dependency—the concentration risk a supplier bears when a few customers account for most of its sales, and the bargaining power that lets those customers squeeze supplier margins. My work identifies a second channel: the operating efficiencies that flow from close supplier–customer relationships, which build over the length of the relationship and trade off against the concentration risk. These efficiencies show up across the supplier's operations—in SG&A and other operating savings, in inventory held for less time with fewer write-downs, in greater investment in R&D, and in assurance. Recognized with the AAA/AICPA Notable Contributions to Accounting Literature Award, the work brought the operations side of interfirm relationships into capital markets research and launched a literature at the intersection of accounting, finance, and operations.
“Customer-Base Concentration: Implications for Audit Pricing and Quality”
Published in the Journal of Management Accounting Research (2019).
“Customer-Base Concentration and Inventory Efficiencies: Evidence from the Manufacturing Sector”
Published in the Production and Operations Management Journal (2016).
Featured in Haas Newsroom | Science Daily | Supply Chain Management Review | Chartered Institute of Procurement & Supply.
“Customer-Base Concentration: Implications for Firm Performance and Capital Markets”
Published as Lead Article in The Accounting Review (2012).
2017 AAA/AICPA Notable Contributions to Accounting Literature Award.
2009 AAA Northeast Region Best Paper Award.
Featured in Haas Newsroom | Financial Times | Fox Business | Strategy+Business | Alpha Architect.