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- August 2018
- Article
Extrapolation and Bubbles
By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of overvaluation. The two signals are in conflict, and investors... View Details
Barberis, Nicholas, Robin Greenwood, Lawrence Jin, and Andrei Shleifer. "Extrapolation and Bubbles." Journal of Financial Economics 129, no. 2 (August 2018): 203–227.
- 02 Mar 2016
- Working Paper Summaries
Extrapolation and Bubbles
- January 2015
- Article
X-CAPM: An Extrapolative Capital Asset Pricing Model
By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
Survey evidence suggests that many investors form beliefs about future stock market returns by extrapolating past returns. Such beliefs are hard to reconcile with existing models of the aggregate stock market. We study a consumption-based asset pricing model in which... View Details
Barberis, Nicholas, Robin Greenwood, Lawrence Jin, and Andrei Shleifer. "X-CAPM: An Extrapolative Capital Asset Pricing Model." Journal of Financial Economics 115, no. 1 (January 2015): 1–24.
- Article
Extrapolating from Moore's Law
By: Michael A. Cusumano and David B. Yoffie
Cusumano, Michael A., and David B. Yoffie. "Extrapolating from Moore's Law." Communications of the ACM 59, no. 1 (December 2016): 33–35.
- 29 Aug 2013
- Working Paper Summaries
X-CAPM: An Extrapolative Capital Asset Pricing Model
- 2022
- Working Paper
Heterogeneous Investors and Stock Market Fluctuations
By: Odhrain McCarthy and Sebastian Hillenbrand
We introduce a heterogeneous agent model which features extrapolative beliefs and time-varying risk aversion. The model leads to an empirical framework which we estimate with stock prices, survey data and risk aversion measures. We find that extrapolative beliefs and... View Details
McCarthy, Odhrain, and Sebastian Hillenbrand. "Heterogeneous Investors and Stock Market Fluctuations." Working Paper, January 2022.
- Awards
Jack Treynor Prize
By: Robin Greenwood
Winner of a 2014 Jack Treynor Prize from the Institute for Quantitative Research in Finance for "X-CAPM: An Extrapolative Capital Asset Pricing Model" (Journal of Financial Economics, 2015) with Nicholas Barberis, Lawrence Jin, and Andrei Shleifer. The Treynor... View Details
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
How AI Could Help Small Businesses
As technology opens the doors to vast troves of data, opportunities are emerging to create new insights on a small business’s health and prospects. Insights from this data have the potential to resolve two defining issues that have faced lenders and borrowers in... View Details
- April 1991 (Revised April 1993)
- Background Note
Strategic Response to Uncertainty
Managers often ignore uncertainty and plan as if the world were certain. Frequently, strategy is formulated based on an extrapolation of current trends into the future, or the best guess scenario of the manager involved. This note discusses four approaches to shaping... View Details
Teisberg, Elizabeth O. "Strategic Response to Uncertainty." Harvard Business School Background Note 391-192, April 1991. (Revised April 1993.)
- 10 Dec 2015
- News
Can Google Street View Images Predict Household Income?
- Forthcoming
- Article
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’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
Greenwood, Robin, Samuel G. Hanson, and Lawrence J. Jin. "Reflexivity in Credit Markets." Journal of Finance (forthcoming).
- Article
Predictions, Prophets, and Restarting Your Business
The first task of crisis management is a reasonably accurate view of the current situation and how it might evolve. There are many predictions about so-called “new normal” as a result of the semi-enforced social distancing necessitated by the coronavirus. But most are... View Details
Cespedes, Frank V. "Predictions, Prophets, and Restarting Your Business." Harvard Business School Working Knowledge (May 4, 2020).
- February 1989 (Revised November 1991)
- Case
Science Technology Co.--1985
By: Thomas R. Piper
The CEO of a U.S. electronics firm is assessing the financial forecasts and the financing plan prepared by the chief financial officer. Given the cyclicality of the industry and the volatility of the firm's performance, the CEO is unsure as to the usefulness of... View Details
Keywords: Risk and Uncertainty; Change Management; Industry Growth; Forecasting and Prediction; Financial Strategy; Volatility; Electronics Industry
Piper, Thomas R. "Science Technology Co.--1985." Harvard Business School Case 289-040, February 1989. (Revised November 1991.)
- September 2021
- Article
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." Journal of Financial Economics 141, no. 3 (September 2021).
- 15 Feb 2013
- Working Paper Summaries
Expectations of Returns and Expected Returns
- 2018
- Working Paper
Diagnostic Bubbles
By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." NBER Working Paper Series, No. 25399, December 2018.
- February 2024
- Article
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it... View Details
Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
- 2015
- Article
What's so Institutional about Leadership?: Leadership Mechanisms of Value Infusion
By: Ryan Raffaelli and Mary Ann Glynn
Leaders are important social actors in organizations, centrally involved in establishing and maintaining institutional values, a view that was articulated by Philip Selznick (1957) nearly a half-century ago, but often overlooked in institutionalists' accounts. Our... View Details
Raffaelli, Ryan, and Mary Ann Glynn. "What's so Institutional about Leadership? Leadership Mechanisms of Value Infusion." Research in the Sociology of Organizations 44 (2015): 283–316.