College of Business

Permanent URI for this community

https://hdl.handle.net/1969.6/14

Browse

Now showing 1 - 20 of 38

Access work
(2023-04-11) Changchit, Chuleeporn; Klaus, Timothy; Palfreyman, Christopher; Pham, Long
Computer applications links for Access practice and activities.
Assessing star value: The influence of prior performance and visibility on compensation strategy
(Wiley Online Library, 4/19/2022) Terry, Ryan P.
The greatest competition among rivals in many industries is not for market share but human capital. In the so-called talent war, organisations compete aggressively to attract star employees—individuals with disproportionate productivity and external visibility—in pursuit of competitive advantage. Building on human capital and resource-based view theories, we argue that firms' compensation strategies are influenced by the intangible assets that define stars. With data from Major League Baseball, we find that organisations are likely to pay higher wages to stars based on their prior performance and visibility. Furthermore, our data indicate that firm competitive position influences which of these intangible assets holds greater value for managers. We discuss the implications of these findings for organisations waging a war for talent and suggest directions for future research on a matter that is far from over.
Benefits of education at the intensive margin: Childhood academic performance and adult outcomes among American immigrants
(Palgrave Macmillan, 3/23/2015) Gevrek, Deniz; Gevrek, Z. Eylem; Guven, Cahit
Using the Children of the Immigrants Longitudinal Study, we examine the association between education at the intensive margin and twenty pecuniary and non-pecuniary adult outcomes among first- and second-generation American immigrant youth. Education at the intensive margin is measured by two widely used standardized math and reading test scores, national percentile rankings on these tests, and cumulative grade point average (GPA) in both middle and high school. Our findings provide evidence that the academic achievement of immigrant children in early adolescence is an accurate predictor of later life outcomes. We also examine a novel hypothesis that relative academic performance of immigrant children in high school compared to middle school, which could be an indicator of change in adolescent aspirations and motivation as well as the degree of adaptation and assimilation to the host country, has an effect on their adult outcomes even after controlling for the levels of academic performance in middle and high school. The results suggest that an improvement in GPA from middle school to high school is associated with favorable adult outcomes. Several sensitivity tests confirm the robustness of these findings.
Chapter 1 tutorial
(2023-04-04) Changchit, Chuleeporn; Klaus, Timothy; Palfreyman, Christopher; Pham, Long
Chapter 1: Creating a Worksheet and a Chart This Microsoft® Excel® 365 text is developed to provide students with the basic skills on working with Excel 365. This book covers six chapters. Each chapter will be provided with the “Start File” and “Complete File”. The “Start File” will contain the data learners need to work with such chapter. Then, the learner will follow the demonstration in the slides/screenshot to learn the concepts covered in such chapter. Once the learner finish such chapter, the “Start File” will resemble the “Complete File.” It is highly recommended that the learner practice with the project in each chapter 2-3 times. During the last practice, the learner should not need to consult the demonstration anymore. If the learner still need to look at the demonstration as a reference, it is an indication that additional practices are needed. This book uses all Microsoft Excel screenshots under fair use. If you plan to redistribute our book, please consider whether your use is also fair use.
Chapter 2 tutorial
(2023-04-04) Changchit, Chuleeporn; Klaus, Timothy; Palfreyman, Christopher; Pham, Long
Chapter 2: Formulas, Functions, and Formatting This Microsoft® Excel® 365 text is developed to provide students with the basic skills on working with Excel 365. This book covers six chapters. Each chapter will be provided with the “Start File” and “Complete File”. The “Start File” will contain the data learners need to work with such chapter. Then, the learner will follow the demonstration in the slides/screenshot to learn the concepts covered in such chapter. Once the learner finish such chapter, the “Start File” will resemble the “Complete File.” It is highly recommended that the learner practice with the project in each chapter 2-3 times. During the last practice, the learner should not need to consult the demonstration anymore. If the learner still need to look at the demonstration as a reference, it is an indication that additional practices are needed. This book uses all Microsoft Excel screenshots under fair use. If you plan to redistribute our book, please consider whether your use is also fair use.
Chapter 3 tutorial
(2023-04-04) Changchit, Chuleeporn; Klaus, Timothy; Palfreyman, Christopher; Pham, Long
Chapter 3: What-If Analysis, Charting, And Working With Large Worksheets This Microsoft® Excel® 365 text is developed to provide students with the basic skills on working with Excel 365. This book covers six chapters. Each chapter will be provided with the “Start File” and “Complete File”. The “Start File” will contain the data learners need to work with such chapter. Then, the learner will follow the demonstration in the slides/screenshot to learn the concepts covered in such chapter. Once the learner finish such chapter, the “Start File” will resemble the “Complete File.” It is highly recommended that the learner practice with the project in each chapter 2-3 times. During the last practice, the learner should not need to consult the demonstration anymore. If the learner still need to look at the demonstration as a reference, it is an indication that additional practices are needed. This book uses all Microsoft Excel screenshots under fair use. If you plan to redistribute our book, please consider whether your use is also fair use.
Chapter 4 tutorial
(2023-04-04) Changchit, Chuleeporn; Klaus, Timothy; Palfreyman, Christopher; Pham, Long
Chapter 4: Mortgage and Amortization This Microsoft® Excel® 365 text is developed to provide students with the basic skills on working with Excel 365. This book covers six chapters. Each chapter will be provided with the “Start File” and “Complete File”. The “Start File” will contain the data learners need to work with such chapter. Then, the learner will follow the demonstration in the slides/screenshot to learn the concepts covered in such chapter. Once the learner finish such chapter, the “Start File” will resemble the “Complete File.” It is highly recommended that the learner practice with the project in each chapter 2-3 times. During the last practice, the learner should not need to consult the demonstration anymore. If the learner still need to look at the demonstration as a reference, it is an indication that additional practices are needed. This book uses all Microsoft Excel screenshots under fair use. If you plan to redistribute our book, please consider whether your use is also fair use.
Chapter 5 tutorial
(2023-04-04) Changchit, Chuleeporn; Klaus, Timothy; Palfreyman, Christopher; Pham, Long
Chapter 5: Formulas and Graphical Charts This Microsoft® Excel® 365 text is developed to provide students with the basic skills on working with Excel 365. This book covers six chapters. Each chapter will be provided with the “Start File” and “Complete File”. The “Start File” will contain the data learners need to work with such chapter. Then, the learner will follow the demonstration in the slides/screenshot to learn the concepts covered in such chapter. Once the learner finish such chapter, the “Start File” will resemble the “Complete File.” It is highly recommended that the learner practice with the project in each chapter 2-3 times. During the last practice, the learner should not need to consult the demonstration anymore. If the learner still need to look at the demonstration as a reference, it is an indication that additional practices are needed. This book uses all Microsoft Excel screenshots under fair use. If you plan to redistribute our book, please consider whether your use is also fair use.
Chapter 6 tutorial
(2023-04-04) Changchit, Chuleeporn; Klaus, Timothy; Palfreyman, Christopher; Pham, Long
Chapter 6: Vlookup and Conditional Formatting This Microsoft® Excel® 365 text is developed to provide students with the basic skills on working with Excel 365. This book covers six chapters. Each chapter will be provided with the “Start File” and “Complete File”. The “Start File” will contain the data learners need to work with such chapter. Then, the learner will follow the demonstration in the slides/screenshot to learn the concepts covered in such chapter. Once the learner finish such chapter, the “Start File” will resemble the “Complete File.” It is highly recommended that the learner practice with the project in each chapter 2-3 times. During the last practice, the learner should not need to consult the demonstration anymore. If the learner still need to look at the demonstration as a reference, it is an indication that additional practices are needed. This book uses all Microsoft Excel screenshots under fair use. If you plan to redistribute our book, please consider whether your use is also fair use.
A comparative study of trust in mobile banking: An analysis of U.S. And Thai customers
(ACM, 3/23/2021) Lonkani, Ravi; Sampet, Jomjai; Changchit, Chuleeporn; Klaus, Tim
With the rapid growth of mobile phone usage, mobile services have influenced many industries including banking. Mobile banking has become a popular service as it offers a convenient channel for customers to perform banking transactions. Nevertheless, not all customers feel safe performing financial transactions online. Trust has become a crucial element on whether customers choose to use mobile banking. As a comparative study, this research examines factors and bank customers' characteristics that influence trust in mobile banking between U.S. and Thai mobile banking customers. Three hundred and eight USA consumers and two hundred and fifty-two Thai consumers participated in this study. The results found multiple significant factors influencing trust and usage of mobile banking. This study expands on previous trust and mobile banking usage research and provides practical implications for cross-cultural strategies in mobile banking.
Contemporary mobile commerce: Determinants of its adoption
(2023-03-06) Mollick, Joseph; Cutshall, Robert; Changchit, Chuleeporn; Long, Pham
Mobile commerce is the next generation of electronic commerce that allows consumers to perform many transactions via a mobile phone instead of a desktop computer. To online businesses, this commerce channel also allows them to have almost non-stop accessibility to a large population of mobile device users. This study examines the factors affecting intention to use contemporary mobile commerce on the basis of integrating perceived security, subjective norm, innovativeness, and self-efficacy into the TAM model. Statistical analysis results show that self-efficacy and innovativeness are positively related to perceived ease of use. Perceived ease of use has a positive effect on perceived usefulness. Perceived ease of use, perceived usefulness, perceived security, and subjective norm have a positive relationship with intention to use mobile commerce. The theoretical and practical implications are discussed. Finally, future research directions are outlined.
Covid-19 impact on US housing markets: Evidence from spatial regression models
(Taylor and Francis Online, 1/10/2022) Lee, Jim; Huang, Yuxia
This paper empirically investigates the conventional wisdom that urban residents have reacted to the Covid-19 pandemic by fleeing city centres for the suburbs. A conventional panel model of US ZIP code-level data provides mixed evidence in support of a shifting housing preference for more space or neighbourhoods farther from the urban core. Regressions accounting for spatial dependence and spatial heterogeneity show strong support of an urban flight within metro areas, but this local phenomenon is uneven across broad regions of the United States. The finding of geographical disparity underscores both the local as well as the regional nature of housing market conditions.
COVID-19 vaccine hesitancy: The role of socioeconomic factors and spatial effects
(MDPI, 2/24/2022) Lee, Jim; Huang, Yuxia
This paper investigates the spatial dimension of socioeconomic and demographic factors behind COVID-19 vaccine hesitancy. With a focus on a county with considerable sociodemographic diversity in the state of Texas, USA, we apply regression models to census-tract-level data of the unvaccinated population. In addition to disparities in accessing the vaccination service, particularly for residents in rural areas, empirical results confirm under-vaccination among lower socioeconomic neighborhoods and communities with signs of distrust in government. The spatial model regressions further underscore the impact that vaccine hesitancy among residents in one community spread to its nearby communities. This observed spatial spillover effect is attributable to the geographic interactions of similar socioeconomic groups.
Cryptocurrency risks, fraud cases, and financial performance
(2023-02-23) Kerr, David; Loveland, Karen; Smith, Katherine; Smith, Lawrence Murphy
In this study, we examine major cryptocurrencies, present notable fraud cases, describe fraud risks, and analyze cryptocurrency financial performance. People debate whether cryptocurrency is an investment opportunity, the new Dutch Tulip Bubble, or a giant Ponzi scheme. There have been a number of high-profile fraud cases associated with cryptocurrencies, such as the FTX scandal in late 2022, thereby making fraud a real concern to current and potential future investors. Regarding financial performance, cryptocurrencies experienced a major collapse in value in the most recent period of the study, about three times worse than the major stock market indices. While in prior periods, cryptocurrencies have significantly outperformed stock market indices, recent fraud cases and the extreme volatility of cryptocurrencies indicate that investing in cryptocurrencies comes with much higher risk than traditional stock market investments. The debate over the investment potential of cryptocurrencies continues, whether they have long term value or are simply the new Dutch Tulip Bubble. The study’s findings will be useful to investors, regulators, and academic researchers regarding the cryptocurrency industry.
Cryptocurrency trading and downside risk
(2023-07-06) Iqbal, Farhat; Zahid, Mamoona; Koutmos, Dimitrios
Since the debut of cryptocurrencies, particularly Bitcoin, in 2009, cryptocurrency trading has grown in popularity among investors. Relative to other conventional asset classes, cryptocurrencies exhibit high volatility and, consequently, downside risk. While the prospects of high returns are alluring for investors and speculators, the downside risks are important to consider and model. As a result, the profitability of crypto market operations depends on the predictability of price volatility. Predictive models that can successfully explain volatility help to reduce downside risk. In this paper, we investigate the value-at-risk (VaR) forecasts using a variety of volatility models, including conditional autoregressive VaR (CAViaR) and dynamic quantile range (DQR) models, as well as GARCH-type and generalized autoregressive score (GAS) models. We apply these models to five of some of the largest market capitalization cryptocurrencies (Bitcoin, Ethereum, Ripple, Litecoin, and Steller, respectively). The forecasts are evaluated using various backtesting and model confidence set (MCS) techniques. To create the best VaR forecast model, a weighted aggregative technique is used. The findings demonstrate that the quantile-based models using a weighted average method have the best ability to anticipate the negative risks of cryptocurrencies.
Cryptocurrency trading using machine learning: A Technical note
(8/10/2020) Koker, Thomas E.; Koutmos, Dimitrios
We present a model for active trading based on reinforcement machine learning and apply this to five major cryptocurrencies in circulation. In relation to a buy-and-hold approach, we demonstrate how this model yields enhanced risk-adjusted returns and serves to reduce downside risk. These findings hold when accounting for actual transaction costs. We conclude that real-world portfolio management application of the model is viable, yet, performance can vary based on how it is calibrated in test samples.
CSR and firm risk: Is shareholder activism a double-edged sword?
(2022-11-21) Bozos, Konstantinos; King, Timothy; Koutmos, Dimitrios
Few can argue with the notion that corporations should at least consider corporate social responsibility (CSR) to better understand the impact of their operations on society. However, recent empirical tests suggest CSR has an ambiguous impact on firm performance. To shed new light on this debate, we examine the extent to which voting support for nonbinding shareholder-initiated CSR proposals is empirically linked to changes in firms’ underlying systematic risks. Using a rich dataset of proposals in the US from 1998 to 2011, we contribute several novel findings. First, we show that shareholder voting support is nonlinearly linked to changes in systematic risk. Specifically, proposals with low voting support increase risk while those with high support decrease risk. This nonlinearity is particularly pronounced for consumer-sensitive firms that cater primarily to individual consumers rather than for firms in non-consumer-sensitive industries that produce goods or services meant for industrial or governmental use. Second, the 2007–2009 financial crisis exacerbated increases in firms’ systematic risks for proposals with low voting support. Our results, which highlight asymmetry regarding firms’ CSR initiatives, remain robust when controlling for firm-specific factors as well as shifts in investor sentiment. From a risk management perspective, our findings suggest that CSR initiatives need strong shareholder support to realize benefits from the so-called ‘risk reduction hypothesis’.
Culture, intermarriage, and differentials in second-generation immigrant women's labor supply
(Wiley, 2011-10) Gevrek, Zahide Eylem ; Gevrek, Deniz; Gupta, Sonam
We examine the impact of culture on the work behavior of second-generation immigrant women in Canada. We contribute to the current literature by analyzing the role of intermarriage in intergenerational transmission of culture and its subsequent effect on labor market outcomes. Using relative female labor force participation and total fertility rates in the country of ancestry as cultural proxies, we find that culture matters for the female labor supply. Cultural proxies are significant in explaining number of hours worked by second generation women with immigrant parents. More importantly, we show that the impact of cultural proxies is significantly larger for women with immigrant parents who share same ethnic background than for those with intermarried parents. The fact that the effect of culture is weaker for women who were raised in intermarried families stresses the importance of intermarriage in assimilation process. Our results are robust to different specifications and estimation strategies.
The Downward breaststroke kick makes fast speed and increased lactate acid
(David Publishing, 2021) Ide, Takahisa; Johnson, William F.; Takise, Sadafumi; Konarzewski, Jan; Inada, Noriko; Fujimori, Hiromasa; Fujimori, Takeharu; Moronuki, Emi; Nagahata, Asahi; Barcinas, Ken A.; Santos, Felipe Dos; Koseki, Yasuhiro; Glavnyk, Iryna; Nikolaev, Mark; Antipov, Daniil; Plavin, Bogdan; Kawamoto, Kohei
In this study, we assess the effectiveness of utilizing a downward breaststroke kick with regard to the overall time, max speed and velocity per stroke when using a downward breaststroke kick technique. We analyzed breaststroke kick of knee angles from 8 elite world class swimmers. The downward breaststroke kick used in breaststroke competitions resulted in improvements average of 100 yard or 100 meter breaststroke from 1:05.10 s to 1:01.97 s. Increases in performance max speed and velocity per stroke among 9 elite world class swimmers are highly correlated to duration of the kick aerodynamic buoyant farce in breaststroke. The downward breaststroke kick also resulted in an increase in lactate acid.
The dynamic impacts of monetary policy uncertainty shocks
(2023-01-06) Kamara, Ahmed; Koirala, Niraj P.
This paper assesses whether the impact of monetary policy uncertainty on the U.S. economy has changed over time. Estimating a Time-Varying Parameter Vector Autoregressive model on U.S. data from 1985Q1 to 2022Q3, we find that uncertainty shocks have larger negative effects on output during the COVID-19 recession than during other periods. However, financial market variables, such as stock prices and dividends, responded more significantly to uncertainty shocks during the Asian crisis of the late 1990s, the IT bubble of the 2000s, and the Great Recession. We then develop a Dynamic Stochastic General Equilibrium model with monetary policy uncertainty. Based on the calibrated model, we conduct several counterfactual exercises to demonstrate that the effects of uncertainty shocks depend on the state of the economy, which is consistent with the empirical evidence. These findings provide new insights into the time-varying nature of the impact of economic uncertainty.

Browse

Browsing College of Business by Title

Results Per Page

Sort Options