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Articles 1 - 6 of 6
Full-Text Articles in Finance and Financial Management
Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White
Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White
Electronic Theses, Projects, and Dissertations
This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?
The research questions were answered through a thorough …
An Exploration Of Synergy Evaluation Application Model To Support Implementation On Merger And Acquisition, Jieping Mei
An Exploration Of Synergy Evaluation Application Model To Support Implementation On Merger And Acquisition, Jieping Mei
Electronic Theses, Projects, and Dissertations
ABSTRACT
The project focuses on a comprehensive system’s analysis and design of the front-end of the Synergy Evaluation Application Model (SEAM) system for mergers and acquisitions (M&As). The research questions asked are: Q1. How did the SEAM system incorporate the system requirements and design that incorporated the strategic goals and priorities of both the acquirer and the acquiree? Q2. What data sources will the SEAM system rely on, and how does it overcome data integration, automation, visualization challenges? Q3. How will the model identify build in potential synergies, both quantitative and qualitative? The research questions were analyzed through the SEAM …
Has Electricity Deregulation Eliminated The Nuclear Option?: Rethinking The Coasian Ios For Project-Finance Investments, Stephen Dansky
Has Electricity Deregulation Eliminated The Nuclear Option?: Rethinking The Coasian Ios For Project-Finance Investments, Stephen Dansky
Theses and Dissertations
Installed electric generation capacity in the United States is expected to grow significantly over the next two decades. This raises concern about climate change as several common methods of electricity generation emit greenhouse gases. Nuclear power, which doesn’t create greenhouse gases while generating electricity, has been heavily promoted by the nuclear industry and a segment of the environmental community ever since it was codified by the United Nation’s 26th Climate Change Conference of the Parties as an acceptable energy source to fight climate change. However, this dissertation establishes that the increased revenue risk and uncertainty created by the deregulation …
Mechanism Design For Optimizing On-Chain Sell Order In Market Without Market Maker, Nico Pei
Mechanism Design For Optimizing On-Chain Sell Order In Market Without Market Maker, Nico Pei
CMC Senior Theses
The absence of market makers alters the microstructure of the market. It’s difficult to get exposed to time-weighted prices in markets without market makers. In this paper, we delve into three mechanism designs – discrete gradual dutch auction, continuous gradual dutch auction, and variable rate gradual dutch auction – to study how to execute time-weighted sell orders on blockchain in a market without market makers. To make it simpler for readers to understand, we imagine an example of helping a close friend of Picasso to sell his 100 Picasso paintings in the next 10 years since 1970, with the private …
Artificial Intelligence In Stock Analysis And Portfolio Building, Sean M. Lynch
Artificial Intelligence In Stock Analysis And Portfolio Building, Sean M. Lynch
Honors Theses and Capstones
The emergence of artificial intelligence (AI) investment analysts, often referred to as “robo-advisors”, has the potential to change traditional portfolio management. These systems access vast amounts of data and make portfolio management decisions and stock market predictions. In this study, I compared AI-generated portfolios with portfolios that were created manually. Surprisingly, the human-generated portfolios outperformed the AI portfolios. However, the prompt used in the AI application affects these results. The subset of AI portfolios that were created with specific objectives specified in the prompts outperformed those that were created with more generic prompts. Overall, this research sheds light on the …
Nike's Product Recommendation System And Incorporation Of Ai, Quinton Truman Lamers
Nike's Product Recommendation System And Incorporation Of Ai, Quinton Truman Lamers
Undergraduate Theses, Professional Papers, and Capstone Artifacts
No abstract provided.