Homeowners face risk due to variation in annual property tax liabilities which may result in financial distress and eventual mortgage foreclosure. We show that an unintended consequence of a common property tax feature, assessment limitations, exposes households to more systematic risk despite...

This paper examines how the rise of passive investing affects active management. I develop a parsimonious model of passive and active investment in which greater passive investment accelerates investors' learning about active managers' skill. The model provides a rational explanation, namely the...

This paper examines how cybersecurity risk in crypto securities affects asset returns. Hackers steal cryptocurrencies by exploiting bugs in the code. We develop a novel measure of ex-ante cybersecurity risk by counting bug reports from GitHub, which houses the source code that produces crypto...

Does high-frequency trade increase or decrease volatility in financial markets during crises? We introduce a novel intraday volatility measure for ETFs, and find that during the COVID-19 crisis period, the withdrawal of high-frequency trade from large stock ETFs increases intraday ETF volatility...

COVID-19 has profoundly changed the way that we study and work. For students, especially primary and middle school students, online education has become a solution to learning problems. However, online and offline education have their own characteristics and different learning efficiencies in...

Exchange traded funds (ETFs) that track a specified index are a financial technology that has risen dramatically in the last two decades. We model an ETF's optimal index replication strategy and show that it involves underweighting or omitting illiquid index assets. Instrumenting for ETF trading...

Discrete choice model is probably one of the most popularly used statistical methods in practice. The common feature of this model is that it considers the behavioral factors of a person and the assumption of independent individuals. However, this widely accepted assumption seems problematic...

This paper is concerned with the problem of click fraud detection. We assume each visitor of a website carries a latent indicator, which labels him/her as a regular or malicious user. Information such as number of clicks, number of page views (PVs) and time difference between consecutive clicks...