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January 2024 (Revised May 2024)
Case

PortageBay and ESG Analytics

By: Vikram S. Gandhi and Radhika Kak

In 2023, sustainable investors faced several challenges. The first was the lack of access to standardized and vetted environmental, social, and governance (ESG) data, and equally, the interpretation of this data into investment-useful insights. Reducing reliance on... View Details

Keywords: ESG Ratings; Investment Funds; Governance; Environmental Sustainability; Corporate Social Responsibility and Impact

December 1, 2021
Article

Do You Know How Your Teams Get Work Done?

By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar

In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital... View Details

Keywords: Leading Teams; Work Recall Gap; Machine Learning; Algorithms; Groups and Teams; Management; Technological Innovation

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2015
Article

International Trade, Multinational Activity, and Corporate Finance

By: C. Fritz Foley and Kalina Manova

An emerging new literature brings unique ideas from corporate finance to the study of international trade and investment. Insights about differences in the development of financial institutions across countries, the role of financial constraints, and the use of... View Details

Keywords: Multinational Firms and Management; Investment; Trade; Corporate Finance

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2024
Working Paper

Corporate Debt, Boom-Bust Cycles, and Financial Crises

By: Victoria Ivashina, Sebnem Kalemli-Özcan, Luc Laeven and Karsten Müller

Using a new dataset on sectoral credit exposures covering financial and non-financial sectors in 115 economies over the period 1940–2014, we document the following evidence that corporate debt plays a key role in explaining boom-bust cycles, financial crises, and slow... View Details

Keywords: Financial Crisis; Economic Slowdown and Stagnation; Economic Growth; Economic Sectors; Borrowing and Debt; Credit

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2022
Working Paper

Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions

By: Caleb Kwon, Ananth Raman and Jorge Tamayo

We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details

Keywords: Employees; Human Capital; Performance; Applications and Software; Management Skills; Management Practices and Processes; Retail Industry

Article

Valuation Waves and Merger Activity: The Empirical Evidence

By: Matthew Rhodes-Kropf, David Robinson and S. Viswanathan

To test recent theories suggesting that valuation errors affect merger activity, we develop a decomposition that breaks the market-to-book ratio (M/B) into three components: the firm-specific pricing deviation from short-run industry pricing; sector-wide, short-run... View Details

Keywords: Valuation; Mergers and Acquisitions; Forecasting and Prediction; Price; Theory; Behavior

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2015
Working Paper

Full Substitutability

By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp

Various forms of substitutability are essential for establishing the existence of equilibria and other useful properties in diverse settings such as matching, auctions, and exchange economies with indivisible goods. We extend earlier models' canonical definitions of... View Details

Keywords: Market Design; Balance and Stability

Article

The Best of Both Worlds: Integrating Conscious and Unconscious Thought Best Solves Complex Decisions

Two studies address the debate over whether conscious or unconscious mental processes best handle complex decisions. According to Unconscious Thought Theory (Dijksterhuis & Nordgren, 2006), both modes of thinking have particular advantages: conscious thought can follow... View Details

Keywords: Forecasting and Prediction; Values and Beliefs; Information; Knowledge Management; Management Skills; Management Style; Measurement and Metrics; Success; Research; Cognition and Thinking; Personal Characteristics; Perception

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March 2021
Article

Targeted Price Controls on Supermarket Products

By: Alberto Cavallo and Diego Aparicio

We study the impact of targeted price controls for supermarket products in Argentina from 2007 to 2015. Using web scraping, we collected daily prices for controlled and non-controlled goods and measured the differential effects on inflation, product availability, and... View Details

Keywords: Prices; Controls; Price Dispersion; Economics; Price; Cost Management; Goods and Commodities; Retail Industry; Argentina

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January 2010 (Revised October 2010)
Background Note

News in the Digital World: Who Pays?

By: Stephen P. Bradley and Nancy Bartlett

Models to monetizing news in the digital landscape, which is real-time, searchable, sharable, multi-sourced, anytime, and any screen, were emerging in 2010. Could content creators get people to pay for what they watched, read, listened to, and shared online? Were news... View Details

Keywords: Business Model; Newspapers; Disruptive Innovation; Technological Innovation; Online Technology; Journalism and News Industry; Publishing Industry

May 2020
Article

How Quantitative Easing Works: Evidence on the Refinancing Channel

By: Marco Di Maggio, Amir Kermani and Christopher Palmer

We document the transmission of large-scale asset purchases by the Federal Reserve to the real economy using rich borrower-linked mortgage-market data and an identification strategy based on mortgage market segmentation. We find that central bank QE1 MBS purchases... View Details

Keywords: Monetary Policy; MBS; Quantitative Easing; LSAP; Refinancing; Deleveraging; HARP; GSE; Central Banking; Global Range; Financing and Loans; Credit; United States

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June 2008
Article

How Are Preferences Revealed?

By: John Beshears, James J. Choi, David Laibson and Brigitte C. Madrian

Revealed preferences are tastes that rationalize an economic agent's observed actions. Normative preferences represent the agent's actual interests. It sometimes makes sense to assume that revealed preferences are identical to normative preferences. But there are many... View Details

Keywords: Consumer Behavior; Attitudes; Microeconomics

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2011
Working Paper

Do Not Trash the Incentive! Monetary Incentives and Waste Sorting

By: Alessandro Bucciol, Natalia Montinari and Marco Piovesan

This paper examines whether monetary incentives are an effective tool for increasing domestic waste sorting. We exploit the exogenous variation in the pricing systems experienced during the 1999-2008 decade by the 95 municipalities in the district of Treviso (Italy).... View Details

Keywords: Household; Cost Management; Consumer Behavior; Wastes and Waste Processing; Motivation and Incentives; Public Administration Industry; Italy

2017
Working Paper

The Use and Misuse of Patent Data: Issues for Corporate Finance and Beyond

By: Josh Lerner

Patents and citations are powerful tools for understanding innovative activity inside the firm and are increasingly used in corporate finance research. But due to the complexities of patent data collection and the changing spatial and industry composition of innovative... View Details

Keywords: Patents; Analytics and Data Science; Corporate Finance; Research; Problems and Challenges

2008
Working Paper

Signaling Firm Performance Through Financial Statement Presentation: An Analysis Using Special Items

By: Edward J. Riedl and Suraj Srinivasan

This paper investigates whether managers' presentation of special items within the financial statements reflects economic performance or opportunism. Specifically, we assess special items presented as a separate line item on the income statement (income statement... View Details

Keywords: Financial Reporting; Financial Statements; Decision Choices and Conditions; Corporate Disclosure; Performance

Research Summary

Financing Payouts

Despite the obvious interest in payout policy, no paper to date has systematically analyzed how payouts are funded, perhaps because the answer might have appeared just too obvious: payouts are funded with free cash flow — at least over long enough time periods.... View Details

2022
White Paper

Census II of Free and Open Source Software - Application Libraries

By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou

Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data... View Details

Keywords: Open Source Software; Applications and Software; Cybersecurity; Open Source Distribution

November 2000
Case

Clust.com: Dream More and Pay Less

Clust is a French group-buying Web site. Instead of marketing products to consumers, Clust is marketing aggregated consumer demands to manufacturers. Consequently, beyond the usual act of choosing among predefined alternatives, consumers are expected to bring up their... View Details

Keywords: Customer Value and Value Chain; Marketing

2023
Working Paper

Do Active Funds Do Better in What They Trade?

By: Marco Sammon and John J. Shim

We develop two new, simple measures to quantify active fund decisions at the individual position level. The intuition is to separate passive rebalancing induced by flows and position changes from active rebalancing decisions. We find that additive active rebalancing --... View Details

Keywords: Investment Funds; Financial Management

2023
Working Paper

Auditing Predictive Models for Intersectional Biases

By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill

Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details

Keywords: Predictive Models; Bias; AI and Machine Learning

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