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(238)
- News (27)
- Research (183)
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- Faculty Publications (129)
Show Results For
- All HBS Web
(238)
- News (27)
- Research (183)
- Multimedia (1)
- Faculty Publications (129)
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
- 02 Aug 2016
- First Look
August 2, 2016
Charles C.Y. Wang Abstract—In the presence of managerial short-termism and asymmetric information about skill and effort provision, firms may opportunistically shift earnings... View Details
Keywords: Sean Silverthorne
- 23 Oct 2018
- First Look
New Research and Ideas, October 23, 2018
attitudes about the CEO’s company. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=50763 Can Staggered Boards Improve Value? Evidence from the Massachusetts Natural Experiment By: Daines, Robert, Shelley Xin Li, and View Details
Keywords: Dina Gerdeman
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- 25 Aug 2022
- News
The Exchange: The Road Ahead for Crypto
From left: Scott Duke Kominers and Charles C.Y. Wang (Image by John Ritter) Cryptocurrencies have been edging their way out of the periphery for... View Details
- Web
2022 Reunion Presentations - Alumni
the kids are all right. CASE STUDY Should Public Companies Embrace Cryptocurrency? Associate Professor Charles C.Y. Wang + More Info – Less Info This session will be centered... View Details
- 15 Jul 2014
- First Look
First Look: July 15
http://www.hbs.edu/faculty/Publication%20Files/13-039%20Nov%202012_612ce7e2-7f81-4eea-9126-3c0964f2be2f.pdf August 2013 Journal of Financial Economics Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches By: Lee, View Details
Keywords: Carmen Nobel
- 02 Feb 2016
- First Look
February 2, 2016
Matthew R. Lyle, and Charles C.Y. Wang Abstract—Under fairly general assumptions, expected stock returns are a linear combination of two accounting-based characteristics—book... View Details
Keywords: Sean Silverthorne
- March 2020 (Revised March 2024)
- Case
CIAM: Home-Grown Shareholder Activism in France
By: Charles C.Y. Wang, Tonia Labruyere and Vincent Dessain
The case discusses the strategy of CIAM, a French activist investment firm, involved in a case of a buy-out of minority shareholders in the telecommunications sector. Altice NV, an international telecommunications company based in the Netherlands that owned more than... View Details
Keywords: Corporate Governance; Private Equity; Strategy; Valuation; Investment Activism; Financial Services Industry; France
Wang, Charles C.Y., Tonia Labruyere, and Vincent Dessain. "CIAM: Home-Grown Shareholder Activism in France." Harvard Business School Case 120-072, March 2020. (Revised March 2024.)
- January 2022 (Revised March 2022)
- Module Note
Analysis of Financial and Non-Financial Information for Forecasting Performance
This note describes the main themes and cases of a teaching module on the analysis of information from, and outside of, financial statements for forecasting firms’ future financial performance. The module’s pedagogical goal is to deepen students’ understanding of the... View Details
Wang, Charles C.Y. "Analysis of Financial and Non-Financial Information for Forecasting Performance." Harvard Business School Module Note 122-071, January 2022. (Revised March 2022.)
- 2024
- Working Paper
Scaling Core Earnings Measurement with Large Language Models
By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
- June 2023
- Case
Dan McCrum - Unmasking Wirecard
By: Jonas Heese, Charles C.Y. Wang, Tonia Labruyere and Carlota Moniz
Dan McCrum, an investigative journalist for the Financial Times, had spent the past six years fighting to expose German payment processing firm Wirecard. The company had enjoyed years of exponential growth and was viewed by several investors as the poster child of... View Details
Keywords: Crime and Corruption; Accounting; Financial Services Industry; Journalism and News Industry; Europe; United Kingdom; Germany
Heese, Jonas, Charles C.Y. Wang, Tonia Labruyere, and Carlota Moniz. "Dan McCrum - Unmasking Wirecard." Harvard Business School Case 123-098, June 2023.
- Web
Technology & Operations Management Awards & Honors - Faculty & Research
Winner of the 2024 Society for Advancing Business Editing and Writing (SABEW) Award, Management and Leadership category, for Right Kind of Wrong: The Science of Failing Well (Atria Books, 2023). Amy C. Edmondson : Awarded the 2024 Medal for Distinguished Service View Details
- 14 Nov 2017
- First Look
New Research and Ideas: November 14, 2017
https://www.hbs.edu/faculty/Pages/item.aspx?num=52652 Governance Through Shame and Aspiration: Index Creation and Corporate Behavior By: Chattopadhyay, Akash, Matthew D. Shaffer, and Charles C.Y. View Details
Keywords: Carmen Nobel
- December 2021 (Revised October 2023)
- Teaching Note
Accounting for Bitcoin at Tesla
- Article
Should We Embrace Crypto?
Wang, Charles C.Y. "Should We Embrace Crypto?" Harvard Business Review 99, no. 6 (November–December 2021). (Case Study and Commentary.)
- June 2021
- Teaching Note
Tesla's Bid for SolarCity (A)
Teaching Note for HBS Case No. 118-044. View Details
- 20 Sep 2016
- First Look
September 20, 2016
of both mechanisms successfully generates a sizable secular increase. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=51107 Can Staggered Boards Improve Value? Evidence from the Massachusetts Natural Experiment By: Daines, Robert, Shelley Xin Li,... View Details
Keywords: Sean Silverthorne
- March 2022
- Supplement
Turkcell Student Template
- August 2021
- Supplement