Portfolio and Security Analysis Commons^™

Using Hybrid Machine Learning Models For Stock Price Forecasting And Trading., Ahmed Khalil

Theses and Dissertations

Trading stocks of publicly traded companies in stock markets is a challenging topic since investors are researching what tools can be used to maximize their profits while minimizing risks, which encouraged all researchers to research and test different methods to reach such a goal. As a result, the use of both fundamental analysis and technical analysis started to evolve to support traders in buying and selling stocks. Recently, the focus increased on using Machine learning models to predict stock prices and algorithmic trading as currently there is a huge amount of data that can be processed and used to forecast …

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 The Performance Of Option Trading Strategies, Zhuo Li

Theses and Dissertations

This dissertation consists of two parts. In the first chapter, we examine the relative performance of four options-based investment strategies versus a buy-and-hold strategy in the underlying stock. Specifically, using ten stocks widely held in 401(k) plans, we examine monthly returns from strategies that include a long stock position as one component. These strategies are long stock, covered call, protective put, collar, and covered combination. Ignoring early exercise for simplicity, we find that the covered combination and covered call strategies generally outperform the long stock strategy, which in turn generally outperforms the collar and protective put strategies regardless of the …

Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef

Theses and Dissertations

Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock price …

Ai Stock-Screening Methodology For Portfolio Construction, Omar Ahmed Khater

Theses and Dissertations

Selecting profitable stocks is crucial in constructing an all-equity portfolio. Investors need to rely on screening mechanisms to aid investment decision making. New stock selection methods are highly desired, and existing methods are constantly improved. In this research, we investigate the potential of relying on artificial intelligence to guide the stock selection process. The developed model employed genetic algorithms to optimize the selection of screening rules from among a set of widely accepted fundamental indicators. The model robustness and performance are tested using stock market real data over a 14-year period from 2006 till 2019. Based on portfolio quality factors …

Performance Of Islamic Stocks Versus Conventional Stocks During Crisis And Non Crisis Period: Evidence From Mena Region., Eshraq Abou El Enein

Theses and Dissertations

The purpose of this thesis is to examine the performance of both Islamic and conventional stocks, and to investigate whether the Islamic filtering criteria acts as a shield of protection for investors during crisis or not, based on a panel sample of 12 countries in the MENA region covering 10 different sectors from 1998-2018. Using panel fixed effect regression. We divided out sample into three periods; 1998-2006 pre-crisis period, 2007-2008 crisis period and 2009-2018 post crisis period. Our main finding is that the filtering criteria has a positive relation with the returns significant for the post crisis period and positive …

Preferences Of Institutional Investors: Evidence From The Arab Region, Mohamed Ahmed Magdy Elsayed

Theses and Dissertations

In this research, we examine the preferences of institutional investors in the Arab region. Institutional investors’ investment decisions are based on various factors or measures that are used in assessing the worthiness of a company for investment. The research uses measures for stock risk and return, financial leverage, profitability, ownership concentration and trading activity, as well as measures for company size, value, sector, and country as predictor variables for the rate of institutional ownership and analyzes the impact of these variables. Using a cross-sectional model, the research gathers evidence from the Arab region’s leading stock markets by market capitalization for …

Political Risk Effect On Financial Market Returns; Between Magnification And Neglection: Evidence From Egyptian Stock Market, Salma Mohamed Alaaeldin

Theses and Dissertations

There is extensive debate on whether political risk is an important factor that influences financial markets and investment decision, especially in developing economies. The main aim of this thesis is to analyze the effect of political risk on stock market returns while controlling for financial risk, economic risk, interest rates and foreign exchange rates. The main methodology involves estimating the model using a regime switching model to account for changes in volatility. The sample period starts from January 2007 to August 2017. The data includes: EGX30 returns over the period, Political risk as proxied by International Country Risk Guide (ICRG) …

Evaluating Human Resources In Commercial Loan Analysis, Coy Darrell Jones

Theses and Dissertations

A significant problem in analyzing bank loan requests exists because of difficulty in evaluating the human component in a firm’s resource structure. This research investigates a new accounting technique, human resource accounting, and identifies certain specific personality traits for correlation to a successful loan relationship. These techniques, coupled with the use of a suggested model for scoring personality tests of loan applicants, should enable a better analysis of bank loan risks.

Psychological tests were employed to measure certain personality traits of selected successful loan customers. One test used, the FIRO-B, provides indicators of certain “expressed” behavior traits and of certain …