Finance Commons^™

War And Money In Ngram Viewer, Robert H. Mcfadden, William Zywiak, Ronald P. Bobroff, Gao Niu

Finance Journal Articles

The second and fourth authors have been inviting Intro to Applied Analytics and Statistics 1 students to use the Ngram Database to explore historical topics of their choosing. This is the first article derived from this exercise. The first author examined the historical relationship between war and money from 1775 to 2005 in the American English corpus. This is followed by an examination of the 3-gram “cost of war” in the American English and British English corpora. Specific to the analyses presented here several military and economic events are discussed. More specifically, both economies and wars are somewhat unpredictable, with ...

Cost Analysis Of Implementing An Exercise Program For Fall And Fracture Prevention In Older Adults On Proton Pump Inhibitor Therapy, Thomas Adam Wichelmann, Nhan Dang, David H. Kruchko, Sufyan Abdulmujeeb, Eli D. Ehrenpreis

Journal of Patient-Centered Research and Reviews

Purpose: Falls have significant financial impact. Proton pump inhibitor (PPI) therapy is associated with an increased risk of falls and fractures. Exercise programs have been shown to decrease risk of falls in the elderly population and are recommended by the U.S. Preventive Services Task Force for patients over age 65 to reduce falls. Our study aimed to explore the potential financial benefit of implementing three different Centers for Disease Control and Prevention-recommended exercise-based interventions for fall prevention (Tai Chi, Stepping On, and Otago Exercise Program) in ≥ 65-year-old patients on PPI therapy.

Methods: A Markov model was developed to predict ...

Statistical Roles Of The G-Expectation Framework In Model Uncertainty: The Semi-G-Structure As A Stepping Stone, Yifan Li

Electronic Thesis and Dissertation Repository

The G-expectation framework is a generalization of the classical probability system based on the sublinear expectation to deal with phenomena that cannot be described by a single probabilistic model. These phenomena are closely related to the long-existing concern about model uncertainty in statistics. However, the distributions and independence in the G-framework are quite different from the classical setup. These distinctions bring difficulty when applying the idea of this framework to general statistical practice. Therefore, a fundamental and unavoidable problem is how to better understand G-version concepts from a statistical perspective.

To explore this problem, this thesis establishes a new substructure ...

Understanding Covid-19’S Impact On Local Transportation Revenue –A Mid-Crisis View From Experts, Asha Weinstein Agrawal, Serena Alexander, Ashley M. Hooper

Mineta Transportation Institute Publications

When COVID-19 swept into the United States in early 2020, it upended two patterns of behavior critical to transportation funding: how people traveled and where economic activity occurred. This study explored how, one year into the pandemic, experts in California believed that the COVID-19 pandemic was impacting local transportation budgets. We interviewed 34 funding experts who represented local transportation and public works departments, state officials, and municipal finance experts. In these conversations, conducted from December 2020 to March 2021, we asked interviewees how they saw COVID-19 impacting their overall local transportation budgets in the short and long term as well ...

Financial Literacy And Investing Habits Of Generation Z As It Pertains To Financial Marketing, Meghan Mazzatto

Honors Projects in Marketing

As technology boomed at the end of the 20th Century and into the 21st Century, the methods young adults use to manage their finances have also evolved. Between moving financial investing and banking to the internet, robo-advising apps, college debt, and the generational reaction to the 2008 Financial Crisis, the world of investing has taken a drastic turn when it comes to young investors. The purpose of this study is to examine the financial habits of Generation Z in order for financial planning companies to better market to the upcoming Generation Z. A survey was used for this study to ...

Deepen Combination Of Science, Technology And Finance To Empower Enterprises To Carry Out High-Quality Innovation, Wei Xue, Beibei Hu, Shijie Wei

Bulletin of Chinese Academy of Sciences (Chinese Version)

China has been promoting the combination of science, technology and finance for more than 40 years. A sci-tech finance system covering different links of enterprise technological innovations has been built. However, considering the new situation in the new era of highquality development in China, sci-tech finance is facing major challenges and growing problems, and urgently needs to be further upgraded and developed. This study puts forward four suggestions. First, it suggests improving the financial system based on the law of innovation, so as to build a sci-tech finance system with differentiated positioning and integrated links. Second, it recommends innovating the ...

Intellectual Property Strategies In Promoting Integration Of Sci-Tech And Financing, Haibo Liu, Pengfei Wang, Yafeng Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Intellectual property (IP) is a key in strengthening the integration of sci-tech and financing for the aim of innovation-driven development. Sci-tech activities are a type of investment in nature. Innovative entities can attract investment with high-quality IP, and investors can profit from innovation by investing in IP. This study analyzes the investment nature of sci-tech activities from two periods of research & development and transformation of sci-tech achievements, and analyzes the role of IP in the two periods. Based on practical foundations, the main considerations are put forward from the aspects of national needs, industry characteristics, endowment difference, and target orientation ...

Research Of S&T And Financing Integration Development From Innovation Chain Perspective, Yingming Li, Qian Li, Ying Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

S&T and financing integration contributes to improve innovation efficiency and expand profit margin of financial capital. With the shortening transformation period from basic research into practical productive force, this integration extends to the front of the innovation chain. Dominant position in foundation innovation is becoming the focus of major country competition. From the perspective of innovation chain, this study puts forwards a logical framework of S&T and financing integration. For different innovation stages, the study analyzes the technology innovation goals, industrial development characteristics, and the rules of capital operation. Based on the co-evolution processes of S&T and ...

The Dynamics Of Monthly Changes In Us Swap Yields: A Keynesian Perspective, Tanweer Akram, Khawaja Mamun

WCBT Working Papers

John Maynard Keynes (1930) asserted that the central bank sways the long-term interest rate through the influence of its policy rate on the short-term interest rate. Recent empirical research shows that Keynes's conjecture holds for long-term Treasury yields in the United States. This paper investigates whether Keynes's conjecture also holds for the monthly changes in US long-term swap yields by econometrically modeling its dynamics using an autoregressive distributed lag (ARDL) approach. The econometric modeling reveals that there is statistically significant effect on the monthly changes in the Treasury bill rate on the monthly changes in swap yields of ...

Charging Drivers By The Gallon Vs. The Mile: An Equity Analysis By Geography And Income In California, Samuel Speroni, Asha Weinstein Agrawal, Michael Manville, Brian D. Taylor

Mineta Transportation Institute Publications

This study used data from the 2017 National Household Travel Survey California Add-On sample to explore how replacing the current state vehicle fuel tax with a flat-per-mile-rate road-user charge (RUC) would affect costs for different kinds of households. We first estimated how household vehicle fuel efficiency, mileage, and fuel tax expenditures vary by geography (rural vs. urban) and by income. These findings were then used to estimate how much different types of households pay in the current per-gallon state fuel tax, what they would pay if the state were to replace fuel taxes with a flat-rate road-usage charge (RUC) that ...

Bayesian Methods In Economics And Finance: Editor's Introduction, Jun Yu

Research Collection School Of Economics

Modern days, Bayesian methods have gained prominence in theoretical work and applications in economics and finance due to the rapid development of computational technologies and their ability to learn. The special issue intends to examine central aspects in Bayesian analysis and applications, including prior choices, model selection with massive data and latent variables, hypothesis testing, Bayesian learning. In total, this special issue contains ten papers, all subject to the Journal of Econometrics (JOE)’s normal refereeing process. Most of these papers came from a conference held at the ESSEC Singapore campus on 10 December 2018.

Macroeconomic Adjustments Of Global Convergence: Real Exchange Rate Response Of Asia-Pacific Growth, Kumarappan Annamalai

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters.

Chapter 1 : PURCHASING POWER PARITY, REAL EXCHANGE RATE, PRICE LEVEL INDEX and HARROD-BALASSA-SAMUELSON EFFECT: LITERATURE SURVEY

In the light of the concepts explained in the introduction section, this chapter explores the seminal papers on the Purchasing Power Parity principle, the Real Exchange rate, and the Price Level Index, showing the evolution of PPP and the methodologies adopted in exploring the characteristics of PPP and the real exchange rates. Various characteristics might be stationarity or non-stationarity of the real exchange rates (RER), variance, correlation, half-life measures, linearity versus non-linearity, etc. Various methodologies adopted were OLS ...

Essays On Futures Market And Machine Learning, Jonathan J. Lopez Camara

Dissertations, Theses, and Capstone Projects

Chapter 1 - Big Data And Machine Learning To Predict Overnight Interest Rates. This paper is a brief introduction to the two main pieces I have elaborated as part of the dissertation. Here, I explain the reasons why I have done my research about predicting the overnight interest rates for Mexico and the United States using big data and machine learning models. I explain the connection between the two research papers, I define some basic concepts such as future contracts and the overnight funding rate for Mexico. There is a summary about the data I use, and the machine learning models ...

Pharmacy Performance Based On Financial Perspective Before And During Covid-19 Pandemic : A Case Study, Eva Sartika Dasopang, Ida Fauziah, Fenny Hasanah, Desy Natalia Siahaan, Dina Yunisma Rasyida Lubis

Pharmaceutical Sciences and Research

A pharmacy, aside from being a pharmaceutical care provider is also a functioning business. Thus, in the scope of business, pharmacy performance can be analysed using liquidity, activity, and profitability ratios. This study aimed to determine the performance of Pharmacy X based on a financial perspective before and during the COVID-19 pandemic. This research is a descriptive cross-sectional study that employed data obtained from sales and purchase records. The data were analysed using financial ratio analysis methods, including liquidity, activity, and profitability ratios. This study was conducted at Pharmacy X based on the amount of prescription and non-prescription income from ...

Analysis Of Credit Risk And Single / Two Factor Model, Siwen Chen

Undergraduate Student Research Internships Conference

Since 2008, businesses and banks must manage and track more risk than ever before. Financial risk management helps companies and banks decrease the risk of investment and trade. Additionally, financial risk management gives a guide on how to forecast and manage the risk efficiently. More specifically, the three major risks are market risk, credit risk, and operational risk. This report will focus on the credit risk: introducing the definition of credit risk, single factor model, the relationship between coefficient and default probability, and the relationship of m coefficient and default probability. Using the single factor model, we will extend the ...

A Psychological Profile Of The Digitized Economy: Who Buys Cryptocurrencies, Nfts, And Meme-Stocks (And Why)?, Nicole Wolfe

Undergraduate Student Research Internships Conference

As the global digital economy continues to grow in interest and financial worth, it is imperative to harvest data to gain early information on this nuanced economy. Already, we have witnessed billions of dollars in losses and wins at the blink of an eye, encouragement to invest from well-known celebrities and politicians, and high anxiety from the newness, power consumption, and potential outcomes of this nuanced system. Stemming from the lack of solid evidence in this emerging field, we hope to gain more insight on the early players and variation within the digitized economy. Similarly, we hope to identify specific ...

The Effect Of Leverage On Credit Default Swaps, Xiling Lai

Undergraduate Student Research Internships Conference

The research investigates the effect of leverage on the pricing of Credit Default Swaps (CDS) and focuses on key sectors of the economy: Technology, Financials, Consumer Staples and Industrials. CDS are financial instruments that were developed a few decades ago and have become more widely used in financial markets for hedging credit exposures. Given their prevalence in financial markets, it is important to understand how CDS spreads change when reference entities modify their capital structure.

In the regression analysis, the level of CDS spread is used as dependent variable, and the standardized relative leverage is used as independent variable. My ...

A Study Of Canadian Bankruptcies, 2014-2022, Luis Guilherme Mazzali De Almeida

Undergraduate Student Research Internships Conference

This paper studies Canadian monthly bankruptcy data from January 2014 to February 2022 with an aim towards identifying the existence of underlying heterogeneity in the decision-making of firms across different industry sectors during periods of economic adversity. The data used include provincial two-digit NAICS bankruptcy level data, provincial pandemic-related data concerning the evolution of cases and stringency of adopted policies, and external factors pertaining to the domestic and foreign economies such as industry GDP, the overnight rate target, exchange rates, imports and exports, prices, and bond liquidity premium. The method is two-fold. First, we identify changes in bankruptcy trends caused ...

Optimal Interventions In Networks During A Pandemic, Roland Pongou, Guy Tchuente, Jean-Baptise Tondji

Economics and Finance Faculty Publications and Presentations

We develop a model of optimal lockdown policy for a social planner who balances population health with short-term wealth accumulation. The unique solution depends on tolerable infection incidence and social network structure. We then use unique data on nursing home networks in the US to calibrate the model and quantify state-level preference for prioritizing health over wealth. We also empirically validate simulation results derived from comparative statics analyses. Our findings suggest that policies that tolerate more virus spread (laissez-faire) increase state GDP growth and COVID-19 deaths in nursing homes. The detrimental effects of laissez-faire policies are more potent for nursing ...

Does Microcredit Reduce Poverty? An Empirical Exploration In India, Aneel Karnani, Seema Sahai

Markets, Globalization & Development Review

Microcredit has grown dramatically over the last few decades and its supporters have made extravagant promises about its potential impact on reducing poverty. However, much recent research has shown that microcredit has no significant impact on reducing poverty. In this exploratory study we interview 205 clients of for-profit microcredit to better understand the causes of why microcredit has not lived up to its promise. We find the basic problem is that the lending policies of the microcredit organizations are designed to lower the costs and risks, and hence increase the profits of the organization, and are not responsive to the ...