We analyze the impact of funding costs and margin requirements on prices of index options traded on the CBOE. We propose a model that gives upper and lower bounds for option prices in the absence of arbitrage in an incomplete market with differential borrowing and lending rates. We show that...

The use of dictionaries in financial sentiment analysis and other financial and economic applications remains widespread because keyword-based methods appear more transparent and explainable than more advanced techniques commonly used in computer science. However, this paper demonstrates the...

The Tax Cut and Jobs Act (TCJA) slashed corporations' median effective tax rates from 31.7% to 20.8%. Nevertheless, 15% of firms experienced an increase. One fifth of firms recorded nonrecurring tax costs or benefits exceeding 3% of total assets. Proxies that existing studies employ to assess...

Donald Trump's election and his nomination of Scott Pruitt, a climate skeptic, to lead the Environmental Protection Agency drastically downshifted expectations on US climate-change policy. We study firms' stock-price reactions and institutional investors' portfolio adjustments after these...

We investigate the impact of high-frequency trading (HFT) on market quality and investor welfare using a general limit order book model. We find that while the presence of HFT always improves market quality under symmetric information, under asymmetric information this is the case only if...

The severity of extreme weather events is increasing due to climate change, giving rise to physical climate risk. However, physical climate risk is not only driven by the severity of individual hazards, but also by the interdependence of those hazards. This paper establishes bounds for the...

Corporate climate disclosures are considered an essential prerequisite to managing climate-related financial risks. At the same time, current disclosures are imprecise, inaccurate, and greenwashing-prone. We introduce a deep learning approach to enable comprehensive climate disclosure analyses...

We explore the performance of mixed-frequency predictive regressions for stock returns from the perspective of a Bayesian investor. We develop a constrained parameter learning approach for sequential estimation allowing for belief revisions. Empirically, we find that mixed-frequency models...

This paper introduces a novel firm-level green innovation measure utilizing ClimateBERT and GPT-3 models to analyze green patent abstracts and earnings call transcripts. Firms with higher green innovation measures experienced lower expected returns: a long-short portfolio generates an average...

This paper examines the impact of the EU Taxonomy's non-climate environmental criteria on the corporate credit risk term structure. We focus on infrastructure firm-level credit risk transmitted through CDS with differential maturities (e.g., ten-year minus one-year) in relation to biodiversity,...