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  • 2023
  • Working Paper

Summarizing the Mental Customer Journey
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Pechthida Kim and Tomer Ullman
How do consumers summarize and act on their experiences, as when deciding whether an interaction with a firm was satisfying and whether to buy from it? Previous work on the summary of continuous experiences has tended to focus on a handful of experience patterns and...  View Details
Keywords: Customer Experience; Customer Journey; Natural Language Processing; Summarization; Customer Satisfaction; Outcome or Result; Decision Choices and Conditions
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  • 2022
  • Working Paper

Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads
By: Samuel G. Hanson, Aytek Malkhozov and Gyuri Venter
We develop and test a model in which swap spreads are determined by end users' demand for and constrained intermediaries' supply of long-term interest rate swaps. Swap spreads reflect compensation both for using scarce intermediary capital and for bearing convergence...  View Details
Keywords: Swap Spreads; Risk and Uncertainty; Interest Rates; Financial Crisis; Financial Markets
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  • Article

Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach
By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
This study provides the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are...  View Details
Keywords: Expected Returns; Discount Rates; Fundamental Valuation; Implied Cost Of Capital; International Equity Markets; Present Value; Investment Return; Equity; Markets; Global Range
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  • March 2022
  • Article

Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
By: Reshmaan Hussam, Natalia Rigol and Benjamin N. Roth
Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the...  View Details
Keywords: Microentrepreneurs; Community Information; Field Experiment; Loans; Entrepreneurship; Developing Countries and Economies; Financing and Loans; Information; Mathematical Methods; India
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  • 2022
  • Working Paper

What Triggers National Stock Market Jumps?
By: Scott R. Baker, Nicholas Bloom, Steven J. Davis and Marco Sammon
We examine newspapers the day after major stock-market jumps to evaluate the proximate cause, geographic source, and clarity of these events from 1900 in the US, 1930 in the UK and 1980 in 12 other countries. We find four main results. First, the United States plays an...  View Details
Keywords: Uncertainty; Policy Uncertainty; Stock Market; Financial Markets; Volatility; Risk and Uncertainty; Policy; Newspapers
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  • January 2022
  • Article

Rational Habit Formation: Experimental Evidence from Handwashing in India
By: Reshmaan Hussam, Atonu Rabbani, Giovanni Reggiani and Natalia Rigol
We test the predictions of the rational addiction model, reconceptualized as rational habit formation, in the context of handwashing in rural India. To track handwashing, we design soap dispensers with timed sensors. We test for rational habit formation by informing...  View Details
Keywords: Handwashing; Habit; Monitoring; Behavior; Health; Motivation and Incentives
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  • January 2022
  • Article

Why Is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings
By: Dane Christensen, George Serafeim and Anywhere Sikochi
Despite the rising use of environmental, social, and governance (ESG) ratings, there is substantial disagreement across rating agencies regarding what rating to give to individual firms. As what drives this disagreement is unclear, we examine whether a firm’s ESG...  View Details
Keywords: ESG Ratings; Rating Agency Disagreement; ESG Disclosure; Corporate Social Responsibility; Sustainability; Corporate Social Responsibility and Impact; Environmental Sustainability; Corporate Disclosure
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  • Article

Megastudies Improve the Impact of Applied Behavioural Science
By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth
Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time...  View Details
Keywords: Policy Making; Behavioral Science; Behavior; Change; Decision Making; Policy
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  • October 2021
  • Article

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...  View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
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  • July–August 2021
  • Article

Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of...  View Details
Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning
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  • January–February 2021
  • Article

Cross‐firm Return Predictability and Accounting Quality
By: Wen Chen, Mozaffar Khan, Leonid Kogan and George Serafeim
We test the hypothesis that if poor accounting quality (AQ) is associated with poor investor understanding of firms’ revenue and cost structures, then poor AQ stocks likely respond more slowly than good AQ stocks to new non‐idiosyncratic information that affects both...  View Details
Keywords: Accounting Quality; Earnings Quality; Stock Returns; Investment Strategy; Accounting; Business Earnings; Quality; Investment Return; Investment; Strategy
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  • January 2021
  • Case

The FIRE Savings Calculator
By: Michael Parzen and Paul Hamilton
This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the...  View Details
Keywords: Analysis; Forecasting and Prediction; Financial Strategy; Investment Portfolio; Investment Return; Personal Finance; Saving; Risk and Uncertainty; Diversification; Theory; Personal Development and Career; Financial Services Industry
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  • January 2021
  • Article

A Model of Relative Thinking
By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein
Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,...  View Details
Keywords: Relative Thinking; Econometric Models; Behavior; Cognition and Thinking
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  • December 2020
  • Article

Monetary Policy and Global Banking
By: Falk Bräuning and Victoria Ivashina
When central banks adjust interest rates, the opportunity cost of lending in local currency changes, but—in absence of frictions—there is no spillover effect to lending in other currencies. However, when equity capital is limited, global banks must benchmark domestic...  View Details
Keywords: Global Banks; Monetary Policy Transmission; Cross-border Lending; Banks and Banking; Financial Markets; Global Range
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  • October 2020
  • Article

IQ from IP: Simplifying Search in Portfolio Choice
By: Huaizhi Chen, Lauren Cohen, Umit Gurun, Dong Lou and Christopher J. Malloy
Using a novel database that tracks web traffic on the SEC’s EDGAR servers between 2004 and 2015, we show that mutual fund managers gather information on a very particular subset of firms and insiders, and their surveillance is very persistent over time. This tracking...  View Details
Keywords: Tracked Trades; Return Predictability; Institutional Trading; Insider Trading; Institutional Investing; Information; Investment Portfolio; Decisions; Management
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  • 2020
  • Working Paper

Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time
By: Laura Alfaro, Anusha Chari, Andrew Greenland and Peter K. Schott
We show that unexpected changes in the trajectory of COVID-19 infections predict U.S. stock returns, in real time. Parameter estimates indicate that an unanticipated doubling (halving) of projected infections forecasts next-day decreases (increases) in aggregate U.S....  View Details
Keywords: COVID-19; Stock Returns; Health Pandemics; Stocks; Investment Return; Forecasting and Prediction
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  • Fall 2019
  • Article

Endogenous Productivity of Demand-Induced R&D: Evidence from Pharmaceuticals
By: Kyle Myers and Mark Pauly
We examine trends in the productivity of the pharmaceutical sector over the past three decades. Motivated by Ricardo’s insight that productivity and rents are endogenous to demand when inputs are scarce, we examine the industry’s aggregate R&D production function....  View Details
Keywords: Innovation; Productivity; Pharmaceuticals; Innovation and Invention; Performance Productivity; Pharmaceutical Industry
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  • 2019
  • Working Paper

Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes, and that market outcomes in turn affect investors' beliefs. We develop a behavioral model of the credit cycle featuring such a two-way feedback loop. In our model, investors form beliefs...  View Details
Keywords: Reflexivity; Attitudes; Financial Markets; Forecasting and Prediction; Investment; Credit
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  • March 2019 (Revised May 2019)
  • Case

Growth Investing at Totem Point
By: Suraj Srinivasan, Charles C.Y. Wang and Jonah Goldberg
The case describes the investment of hedge fund, Totem Point Management in Analog Semiconductors (ADI) as a way to discuss forecasting and valuation in growth companies. In June 2016, hedge fund Totem Point invested in ADI at around $55 a share. In general, Totem Point...  View Details
Keywords: Growth Investing; Investment; Strategy; Forecasting and Prediction; Valuation
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  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...  View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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