Webinar Series

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Capital Market Development: China and Asia

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Nov 2021

Angry Borrowers: Negative Reciprocity in a Financial Market

Li LIAO, Zhengwei WANG, Jun YANG, Congyi ZHOU, Hongjun YAN
We examine the consequences of an intrusive debt-collection tactic that targets delinquent borrowers’ social circles. Our identification strategy relies on the fact that some of the delinquent loans are not worked on due to collection agents’ excessive workload. We show that this tactic backfire...
Keywords: Behavioral finance, Reciprocity, Privacy Infringement, Social Pressure
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Annual Conference

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Economic Transformation of Asia

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May 2017

An Unintended Consequence of Historical Land Ceiling Legislations: Impact on Land Acquisition and Corporate Investment in India

Tiago PINHEIRO, Zoya SAHER, Sarmistha PAL
There is a growing debate about land acquisition for infrastructure and industries in many densely populated countries. In this context, the present paper assesses the impact of the historical land ceiling legislations, largely implemented during 1960-85 to promote distributional equity, on corporat...
Keywords: Land ceiling legislations, Transaction costs of land acquisition, Corporate investment, Fixed and total capital-output ratios, More and less land-intensive firms, India
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Annual Conference

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Corporate Finance

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May 2025

AlphaManager: A Data-Driven-Robust-Control Approach to Corporate Finance New!

Murillo CAMPELLO, Lin William CONG, Luofeng ZHOU
Corporate decision-making entails complex, high-dimensional, non-linear stochastic control during which managers learn and adapt via dynamic interactions with the market environment. We propose a data-driven-robust-control (DDRC) framework to complement traditional theory, reduced-form models, and s...
Keywords: AI, Ambiguity, Big Data, Corporate Finance, Deep Learning, Generative Modeling, Inverse RL, Offline RL, Stochastic Control, Transfer Learning
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Annual Conference

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Investment Finance

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May 2023

Alpha Go Everywhere: Machine Learning and International Stock Returns

Darwin CHOI, Wenxi JIANG, Chao ZHANG
We apply machine learning techniques to predict international stock returns using firm characteristics. Market-specific features are important, as neural network models (NNs) achieve stronger results when they are trained in each market separately than in a global model trained with U.S. data. NNs o...
Keywords: : International Asset Pricing, Cross-section of Stock Returns, Market Integration, Neural Networks, Regression Trees
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Annual Conference

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Accounting

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May 2023

All in a day’s work: What do we learn from Analysts’ Bloomberg Usage?

Zhi DA, Azi BEN-REPHAEL, Bruce CARLIN, Ryan D. ISRAELSEN
We use minute-by-minute Bloomberg online status data to characterize two important dimensions of sell-side equity analysts’ work habits: we estimate the average workday length (AWL) to proxy for analysts’ general effort provision and we use the percentage away day (PAD) to proxy for their soft i...
Keywords: Analyst, Effort Provision, Forecast Accuracy
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