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Articles 1 - 7 of 7
Full-Text Articles in Finance and Financial Management
Application Of Optimization Techniques In Corporate Cash Management, Venkateswara Reddy Dondeti
Application Of Optimization Techniques In Corporate Cash Management, Venkateswara Reddy Dondeti
Theses and Dissertations in Business Administration
For any individual person or firm, there is a trade-off between carrying too much or too little cash on hand to meet the day-to-day transactions demand for cash. The BAT model, named after three eminent economists, Baumol, Allais, and Tobin, is the foundation for almost all cash management models in use today. The goal of the BAT model is to minimize the total costs involving the brokerage fees and the opportunity cost of interest lost on the cash held on hand. The brokerage fees are incurred in connection with the transactions for liquidating securities and converting them into cash. The …
Two Essays On The Information Embedded In Flow Of Exchange-Traded Funds (Etfs), Hamed Yousefi
Two Essays On The Information Embedded In Flow Of Exchange-Traded Funds (Etfs), Hamed Yousefi
Theses and Dissertations in Business Administration
An exchange-traded fund (ETF) is a pooled investment vehicle with shares similar to common equities, and it can be bought or sold on the stock exchanges. As more money flow into an ETF, its assets increase as do the number of shares outstanding. The demand for ETFs, especially after the 2008 crisis, has grown remarkably in the United States. Features such as intraday tradability, tax efficiency, low fees, and transparency have contributed to the ETFs’ appeal to investors. According to Bloomberg terminal data, as of January 2021, there were 2584 U.S.-registered ETFs, with over $5.5 trillion assets under management. Recent …
Stay At Home: Flight-To-Safety And Home Bias In U.S. Etfs During Covid-19 Pandemic, Hamed Yousefi, Mohammad Najand
Stay At Home: Flight-To-Safety And Home Bias In U.S. Etfs During Covid-19 Pandemic, Hamed Yousefi, Mohammad Najand
College of Business (Strome) Posters
We examine the relations between dollar flows of U.S. traded ETFs with exposure to the U.S., Europe, Asia, and the rest of the world during the COVID-19 crisis utilizing a Markov Switching Model (MSVAR). We find convincing evidence that investors use ETFs to gain exposure to foreign markets. This study differs from the new stream of research on the effects of COVID-19 on financial markets and investors’ reactions in two major ways. First, we follow the money by using actual dollars of fund flows, whereas previous studies use returns. Second, we investigate the existence of two distinct regimes during this …
A Monte-Carlo Analysis Of Monetary Impact Of Mega Data Breaches, Mustafa Canan, Omer Ilker Poyraz, Anthony Akil
A Monte-Carlo Analysis Of Monetary Impact Of Mega Data Breaches, Mustafa Canan, Omer Ilker Poyraz, Anthony Akil
Engineering Management & Systems Engineering Faculty Publications
The monetary impact of mega data breaches has been a significant concern for enterprises. The study of data breach risk assessment is a necessity for organizations to have effective cybersecurity risk management. Due to the lack of available data, it is not easy to obtain a comprehensive understanding of the interactions among factors that affect the cost of mega data breaches. The Monte Carlo analysis results were used to explicate the interactions among independent variables and emerging patterns in the variation of the total data breach cost. The findings of this study are as follows: The total data breach cost …
Digging Into Selection Criteria For Accelerator Acceptance: What Kind Of Owners Are More Attractive?, Veronika Ermilina, Matthew Farrell, Fatemeh Askarzadeh
Digging Into Selection Criteria For Accelerator Acceptance: What Kind Of Owners Are More Attractive?, Veronika Ermilina, Matthew Farrell, Fatemeh Askarzadeh
Management Faculty Publications
Drawing on signaling theory, we aid in the identification of the rarely acknowledged impact of business owner’s features on acceptance to accelerator programs. Using a multi-national sample of 10,298 observations for startups in 166 countries over 2016-2018, we show that accelerators do not evaluate applicants uniformly. We find that entrepreneurs from developing countries are less likely to be accepted by accelerators than entrepreneurs from developed economies. Counterintuitively, we also find an advantage for female entrepreneurs in accelerator acceptance. Further, our results suggest a positive impact of education. Accelerators are a growing provider of entrepreneurial resources and a main driver of …
Sentiment-Scaled Capm And Market Mispricing, John A. Doukas, Xiao Han
Sentiment-Scaled Capm And Market Mispricing, John A. Doukas, Xiao Han
Finance Faculty Publications
This study explores the conditional version of the capital asset pricing model on sentiment to provide a behavioural intuition behind the value premium and market mispricing. We find betas (β) and the market risk premium to vary over time across different sentiment indices and portfolios. More importantly, the state β derived from this sentiment-scaled model provides a behavioural explanation of the value premium and a set of anomalies driven by mispricing. Different from the static β-return relation that gives a flat security market line, we document upward security market lines when plotting portfolio returns against their state βs and portfolios …
Improving Stock Trading Decisions Based On Pattern Recognition Using Machine Learning Technology, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu, Bingbing Jiang
Improving Stock Trading Decisions Based On Pattern Recognition Using Machine Learning Technology, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu, Bingbing Jiang
Information Technology & Decision Sciences Faculty Publications
PRML, a novel candlestick pattern recognition model using machine learning methods, is proposed to improve stock trading decisions. Four popular machine learning methods and 11 different features types are applied to all possible combinations of daily patterns to start the pattern recognition schedule. Different time windows from one to ten days are used to detect the prediction effect at different periods. An investment strategy is constructed according to the identified candlestick patterns and suitable time window. We deploy PRML for the forecast of all Chinese market stocks from Jan 1, 2000 until Oct 30, 2020. Among them, the data from …