Finance Commons^™

Essays On Applied Machine Learning For Implied Volatility Interpolation And Artificial Counterfactuals, Pablo A. Crespo

Dissertations, Theses, and Capstone Projects

This dissertation consists of two chapters.

Chapter 1: Volatility estimates under the risk neutral density have become a much revisited topic of interest in recent years. The density proves itself a powerful tool for sentiment analysis, since its moments provide insights about expectations in price trends. A standard procedure for its extraction utilizes artificial volatility predictions to form a dense enough grid for approximating a complete probability distribution. This paper proposes two common machine learning technique variations to produce implied volatility predictions when data is very scarce. First, a model using regularization through a variation of a generalized LASSO path …

An Examination Of The Stock Market's Effect On Economic Inequality, Nicholas Golina

Williams Honors College, Honors Research Projects

The economic literature on economic inequality has shown that it can negatively impact aggregate demand because it indicates a higher concentration of wealth in the hands of the top 10% as opposed to the poor and middle class, who are more likely to consume. The literature has identified many factors that can lead to increasing inequality. The stock market could be one of those factors since it can either create an upward redistributive effect towards the top 10% or redistributive effect towards the middle class. This paper tested the effect of the stock market on inequality. This study contributes to …