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Old Dominion University

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Full-Text Articles in Portfolio and Security Analysis

A Stock Optimization Problem In Finance: Understanding Financial And Economic Indicators Through Analytical Predictive Modeling, Aditya Chakraborty, Chris Tsokos Jan 2024

A Stock Optimization Problem In Finance: Understanding Financial And Economic Indicators Through Analytical Predictive Modeling, Aditya Chakraborty, Chris Tsokos

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Given the significant impact of healthcare stock changes on the global economy, including its GDP and other financial factors, we endeavored to create an analytical prediction model for forecasting the annual percentage change of these stocks. Our model, which is nonlinear, incorporates five key discoveries. We focused on predicting the average weekly closing price (pWCP) of AbbVie Inc. (North Chicago, IL, USA)'s healthcare stock (ABBV) from 1 August 2017 to 31 December 2019. The stock was chosen based on the low beta risk, high dividend yield, and high yearly percentage return criteria. Alongside predicting the weekly stock price, our model …


Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange, Hafiz Hoque, John Doukas Jan 2024

Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange, Hafiz Hoque, John Doukas

Finance Faculty Publications

This study examines the endogenous market choice and its impact on underwriter spread if Alternative Investment Market (AIM) IPOs that meet Main Market (MM) listing requirements had issued equity in the MM during the 1995–2021 period. We find that the spread is 1.33% higher in the AIM than the MM for IPO listings that meet the MM listing requirements. This finding suggests that AIM companies, meeting the MM listing requirements, could have saved more than £100 million by going public through the MM than the AIM market. We also find that this spread differential is attributed to the issuing firms' …


Ownership Of Esg Characteristics, Mark E. Bateman, Lisa R. Goldberg Jan 2023

Ownership Of Esg Characteristics, Mark E. Bateman, Lisa R. Goldberg

School of Public Service Faculty Publications

A portfolio can be viewed as the collection of the businesses, policies and practices of constituent companies. We measure investors' Ownership of this collection. Ownership metrics aggregate an assortment of company specific Environmental, Social and Governance (ESG) characteristics to the portfolio level, and they can inform investment and engagement decisions. Relative to a benchmark, investor Ownership is active and satisfies a zero-sum property, which underscores the distinction between Ownership and impact. Ownership of ESG characteristics may be interpreted as ascribing ethical responsibility, but that conclusion and any decisions that result from it belong to the investor.


Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange, Hafiz Hoque, John Doukas Jan 2023

Endogenous Market Choice, Listing Regulations, And Ipo Spread: Evidence From The London Stock Exchange, Hafiz Hoque, John Doukas

Finance Faculty Publications

This study examines the endogenous market choice and its impact on underwriter spread if Alternative Investment Market (AIM) IPOs that meet Main Market (MM) listing requirements had issued equity in the MM during the 1995–2021 period. We find that the spread is 1.33% higher in the AIM than the MM for IPO listings that meet the MM listing requirements. This finding suggests that AIM companies, meeting the MM listing requirements, could have saved more than £100 million by going public through the MM than the AIM market. We also find that this spread differential is attributed to the issuing firms' …


Stock Trend Prediction Using Candlestick Charting And Ensemble Machine Learning Techniques With A Novelty Feature Engineering Scheme, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu Jan 2021

Stock Trend Prediction Using Candlestick Charting And Ensemble Machine Learning Techniques With A Novelty Feature Engineering Scheme, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu

Information Technology & Decision Sciences Faculty Publications

Stock market forecasting is a knotty challenging task due to the highly noisy, nonparametric, complex and chaotic nature of the stock price time series. With a simple eight-trigram feature engineering scheme of the inter-day candlestick patterns, we construct a novel ensemble machine learning framework for daily stock pattern prediction, combining traditional candlestick charting with the latest artificial intelligence methods. Several machine learning techniques, including deep learning methods, are applied to stock data to predict the direction of the closing price. This framework can give a suitable machine learning prediction method for each pattern based on the trained results. The investment …


Essays On The El Niño Anomaly And Stock Return Predictability, Zhijun Yang Oct 2017

Essays On The El Niño Anomaly And Stock Return Predictability, Zhijun Yang

Finance Theses & Dissertations

This dissertation is to examine the impact of the El Niño phenomenon on the international stock market, both at the aggregate level and the portfolio level.

In first essay, I study the predictive relation between the El Niño phenomenon and international stock market aggregate returns. I find that the El Niño anomaly can predict all 14 countries’ stock returns. Specifically, the El Niño unconditional effect can predict stock return negatively in Japan, Malaysia, and South Africa, while the El Niño conditional on winter season can predict positively stock returns in 13 countries’ stock markets except for Japan. This conditional effect …