Finance Commons^™

Volatility Puzzle: Long Memory Or Anti-Persistency, Shuping Shi, Jun Yu

Research Collection School Of Economics

The log realized volatility (RV) is often modeled as an autoregressive fractionally integrated moving average model ARFIMA(1,d,01,d,0). Two conflicting empirical results have been found in the literature. One stream shows that log RV has a long memory (i.e., the fractional parameter d > 0). The other stream suggests that the autoregressive coefficient α is near unity with antipersistent errors (i.e., d α close to 0 and d close to 0.5) from Model 2Model 2 (ARFIMA(1,d,01,d,0) with α close to unity and d close to –0.5). An intuitive explanation is given. For the 10 financial assets considered, despite that no definitive conclusions …

Does An Initial Public Offering (Ipo) Issuer's Securities And Exchange Commission Registration Fee Calculation Method Predict Pricing Revisions And Ipo Underpricing?, Patrick Corrigan

Journal Articles

This paper proposes a new proxy for the ex ante expectations of issuers and their underwriters about the direction of pricing revisions during the roadshows of an initial public offering (IPO): the way issuers elect to calculate the registration fees owed to the Securities and Exchange Commission. Consistent with fee-minimizing decision-making, I find that the choice of fee calculation method is associated with pricing revisions and IPO underpricing. This relationship suggests that issuers or their advisors may not incorporate economically significant private valuation information into the initial pricing range estimate and initial public offering price. The results provide empirical support …

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 …

Gamestop And The Reemergence Of The Retail Investor, Jill E. Fisch

Faculty Scholarship at Penn Carey Law

The GameStop trading frenzy in January 2021 was perhaps the highest profile example of the reemergence of capital market participation by retail investors, a marked shift from the growing domination of those markets by large institutional investors. Some commentators have greeted retail investing, which has been fueled by app-based brokerage accounts and social media, with alarm and called for regulatory reform. The goals of such reforms are twofold. First, critics argue that retail investors need greater protection from the risks of investing in the stock market. Second, they argue that the stock market, in term, needs protection from retail investors. …

The Personal Saving Rate: Data Revisions And Forecasts, Dean Croushore, Pedro Del Monaco Santos

Economics Faculty Publications

Revisions to the U.S. personal saving rate are very large and may be predictable. We decompose the revisions of the personal saving rate into those caused by revisions to income and those caused by revisions to household outlays. We use our findings to explore the forecastability of future revisions of the personal saving rate.

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 …

The Alphabet Soup In Reporting And Measuring Esg, Hao Liang, Kam Chee Chan

Research Collection Lee Kong Chian School Of Business

Harmonising frameworks with the Impact-Weighted Accounts Framework.

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 …

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 …

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 financing, suggestions of …

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 …

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 different maturity …

A Study On The Mechanisms Of Shareholders’ Equity Adjustment In Bankruptcy Reorganization Of Listed Companies, Yongliang Zhang

Dissertations and Theses Collection (Open Access)

In recent years, amid cyclical macroeconomic fluctuations, national economic slowdown, economic restructuring, and over-expansion of some enterprises, a number of listed companies have faced serious debt and operational challenges, many of which are worthy of keeping afloat. From June 1, 2007 when the Enterprise Bankruptcy Law of the People’s Republic of China came into effect, up to the end of 2021, a total of 93 listed companies in China have gone through bankruptcy reorganization, one of the major means to save the listed companies in distress.

The bankruptcy reorganization of listed companies, by its nature, is a process of game …

A Study On The Impact Of Technological Innovation Attributes On Listing Success Rate And Post-Listing Performance, Yijun Xu

Dissertations and Theses Collection (Open Access)

"Key and core technology" enterprises form the backbone of great powers. China’s STAR Market (technological innovation board) is committed to implementing strategies that will lead to technological innovation-driven sustainable development and strengthen the country by building a secure and independent industrial chain that can support the development of cutting-edge technology. From the outset, the STAR Market put forward clear requirements for "key and core technology" enterprises. The technological innovation attributes of the enterprises listed on the STAR Market are the most essential core characteristics, but a question arises as to how best to evaluate their technological innovation attributes. Are these …

Essays On Spillover Effects Across U.S And China, Zhuo Xi

Dissertations, Theses, and Capstone Projects

Chapter1: With the rapid development and continuous advancement of economic globalization, the links between countries around the world have become increasingly tight. Among them, the United States, as the world's largest economy, its monetary policy is bound to cause significant spillover effects on other economies around the world. By constructing a Threshold SVAR model with monthly data from 1996 to 2019, this paper empirically investigates the spillover effects of US monetary policy on China's economy during different U.S policy regimes. The transmission mechanism of such effects has been tested through different channels including policy channel, trade channel, asset value channel …

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 …

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 …

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.