Portfolio and Security Analysis Commons^™

Multi-Perspective Analysis For Derivative Financial Product Prediction With Stacked Recurrent Neural Networks, Natural Language Processing And Large Language Model, Ethan Lo

Dissertations, Theses, and Capstone Projects

This study developed a multi-perspective, AI-powered model for predicting E-Mini S&P 500 Index Futures prices, tackling the challenging market dynamics of these derivative financial instruments. Leveraging FinBERT for analysis of Wall Street Journal data alongside technical indicators, trader positioning, and economic factors, my stacked recurrent neural network built with LSTMs and GRUs achieves significantly improved accuracy compared to single sub-models. Furthermore, ChatGPT generation of human-readable analysis reports demonstrates the feasibility of using large language models in financial analysis. This research pioneers the use of stacked RNNs and LLMs for multi-perspective financial analysis, offering a novel blueprint for automated prediction and …

Stock Splits And Corporate Peer Effects, Albert J. Saad

Theses and Dissertations

We find that a company’s decision to execute a stock split is affected by the number of stock splits carried out by its peers. Through the use of a broad peer group construction methodology, we also reveal the presence of asymmetric effects with regard to companies of different market capitalization size. In the periods of 1983–1996 and 1997–2009 we find that firms are more likely to split their stock if more of their peers have recently done so. However, in the period of 2010–2019 we see that the opposite is true. These results provide further evidence on social learning from …

Essays On Corporate Sustainability, Aditya Malateesh Kashikar

Dissertations, Theses, and Capstone Projects

The dissertation provides an extensive literature review of topics in Corporate Sustainability. It further examines two key topics: ESG Pay and ESG Investing. For ESG Pay, I examine Bloomberg’s ESG linked pay measure using the largest panel (to date). I confirm several important results from the nascent literature on ESG Pay. Firstly, I find that Country and Industry play a major role in determining ESG Pay adoption. Secondly, among firm characteristics, Big and Value firms tend to have a greater probability of adopting ESG Pay. Thirdly, higher ESG scores increase the chance of ESG Pay adoption in the subsequent year. …

Leverage Adjustment And Credit Risk, Wei He

Dissertations, Theses, and Capstone Projects

This dissertation consists of three coherent chapters that discuss the capital structure target, speed of adjustment and effect of speed of adjustment on credit risk.

Ⅰ: We standardize leverage ratio by underlying business risk. The methodology of standardization follows the assumption that asset value follows a geometric Brownian motion. We find that by standardizing book leverage ratio, standardized leverage ratio can be explained by firm characteristics with a much larger coefficient of determination compared with book leverage ratio. The coefficient of determination difference of regression with standardized leverage ratio and book leverage ratio becomes even larger if we exclude zero …

Ambiguities In The Cross-Section Analysis Of Per Share Financial Data, E G. Davis, D M. Dunn, William (Bill) H. Williams

Publications and Research

In analyzing corporate financial data it is standard procedure to adjust the data to reflect the current number of shares outstanding. In this study, we show that this simple ,standard procedure can cause serious difficulties in a financial analysis.