How should students be assigned to schools? Two mechanisms have been suggested and implemented around the world: deferred acceptance (DA) and top trading cycles (TTC). These two mechanisms are widely considered excellent choices owing to their outstanding stability and incentive properties. We...

Sustainable uptake of electric vehicles will require efficient provision of public electric vehicle charging infrastructure for which it is essential to understand plug-in behaviors of electric vehicle users. Using plug-in data from 19 public charging stations and amenities in Durham,...

We consider the challenge of teaching open science analytics in finance in the computer age. There is a crisis of confidence in science; especially finance. We argue that the unstoppable algorithmic transformation of financial services and the nascent field of financial machine learning provide an...

Extending the popular HAR model with additional information channels to forecast realized volatility of WTI futures prices, we show that machine learning generated forecasts provide better forecasting quality and that portfolios which are constructed with these forecasts outperform their...

Clientele-based theories explaining asset price bubbles are often difficult to test because the identities of investors cannot easily be tracked over time. This paper tests these theories using a hand-collected sample of 12,000 investors during an asset price reversal in the shares of British...

This study examines whether marriage, as a social construct and cultural norm, can affect firm-level stock price crash risk. We find that firms managed by married CEOs are associated with lower future stock price crash risk, after controlling for a set of firm characteristics and CEO traits. We...

With the recent technological advancements, empowered by the self-learning capabilities of algorithms, and the increasing power of machines computation, Artificial Intelligence (AI)-driven technologies have become more pervasive and performant, less costly, and more effective at addressing and...

A number of studies have associated stock market movements with health-related outcomes arguing that the effect is due to psychological distress and is immediate. In this paper, we examine this relationship for cumulative shocks to the financial wealth of American retirees using the allostatic...

This research examines whether the adoption of narratives consistent with effectuation and causation in crowdfunding campaigns, impacts the likelihood of funders committing funds. The theoretical lens of effectuation are employed to examine the text narrative in a ten-year data set from...

This paper examines the impact of Kyoto Protocol target setting regime on environmental efficiency and carbon shadow pricing. We extract shadow price estimates and efficiency scores from a comprehensive dataset of 125 countries in the first Kyoto commitment period (2008-2012) using a stochastic...