Econometrics Commons^™

Analyzing Competitive Balance In Professional Sport, Kevin Alwell

Honors Scholar Theses

In this paper we review several measures to statistically analyze competitive balance and report which leagues have a wider variance of performance amongst its competitors. Each league seeks to maintain high levels of parity, making matches and overall season more unpredictable and appealing to the general audience. Here we quantify competitive advantage across major sports leagues in numbers using several statistical methods in order for leagues to optimize their revenue.

Stock Liquidity Of Malaysian Public Listed Firms, Yee Ee Chia

Student Works (2020-2029)

This thesis is motivated by the limited research on the liquidity of Malaysian public listed firms, the growing number of liquidity horseraces, the recent data commercialization by Bursa Malaysia, and liquidity-enhancing policies being spearheaded mainly by stock exchange regulators in emerging markets. By assembling information that covers 1250 public listed non-financial firms over 2000–2015, the thesis conducts three empirical analyses on the determinants of firm liquidity and the effects of higher liquidity on firm valuation, where liquidity is proxied by the “Closing Percent Quoted Spreads” (CPQS). First, the thesis revisits the standard liquidity model and advocates the inclusion of shareholder …

Essays On The Application Of The Machine Learning Methods In Finance And Policy Evaluation, Olga Guska

Dissertations, Theses, and Capstone Projects

In the age when "Big Data" is becoming almost a household word, such abundance of information in different forms and representations can be of a great help for one's decision-making let it be a trader betting on a stock, or a policy-maker assessing the potential impact of proposed regulation. Whereas traditional economic research is primarily based on the use of numerical data continuous or discrete, there is a great deal of useful information that can be extracted from text data. Such information can power novel identification strategies or help perceive solutions from a different angle, but observed volumes of such …

Environmental Governance For Whom? Examining The Political, Institutional, Fiscal, And Legal Determinants Of State Environmental Agency Budget Policy In The Us, Andrew R. Duggan

Theses and Dissertations

Budgets are a prospective tool of governance, and appropriations are a planning vehicle reflecting: bureaucracies’ values, complex interactions, collective preferences, political influences, and available resources. Research spanning 30 years finds that environmental pollution is a key determinant of environmental budgets in the US, though myriad factors, actors, and subsystems are important to consider. Due to federalism and devolution of responsibilities and authorities, environmental governance falls largely to the states. While the dynamics that shape state environmental budget policy have received scholarly interest, theoretically-driven examinations of environmental appropriations remain limited within the public budgeting and environmental policy literature.

Using panel data …

Does Racial Discrimination Exist In The Nba?, Logan Kendall

Williams Honors College, Honors Research Projects

This paper aims to examines the affect of race on compensation for NBA players. Based on prior research, I pose the hypothesis that racial discrimination does exist in the NBA with there being a premium for white players. A second hypothesis I present based on the previous research is that the premium for white players exist for only some groups of players and for other groups there with not exist discrimination based on player race. By using career data from every player who played in the 2019-2020 NBA season and their 2019-2020 salaries, a few different models where ran. The …

Financial Development And Economic Growth, Chiau-Jiun Jiang

Dissertations and Theses

This paper purposes to discuss the relationship between the financial development and economic growth. In the past, most studies related to the influence of financial development on economic growth used cross-sectional analysis or time series analysis. However, the cross-sectional analysis cannot explain the long-term trend of the time series, and the time series is unable to explain the multiple samples of the cross-section. Based on Arellano and Bond (1991), and Arellano and Bover (1995), this paper utilizes the panel data model to discuss financial development and economic growth. The results point out that bank credit in total GDP and capitalization …

Financial Development In Developing Countries, Obinna Franklin Ezeibekwe

Masters Theses

What are the economic, political, institutional, socio-cultural, and geographical determinants of financial development in developing countries? This paper uses the two-way fixed effects (with clustered standard errors) and annual panel data from 1980 to 2018 for 69 developing countries in sub-Saharan Africa, Middle East and North Africa, East and South Asia, Latin America, and the Caribbean to address this question. The principal component analysis is employed to construct a financial development index based on three financial development indicators. This study builds on previous studies by introducing new potential determinants of financial development, such as the perception of corruption, and by …

Finance And Ideology: The Firm-Level Channels, Hao Liang, Rong Wang, Haikun Zhu

Research Collection Lee Kong Chian School Of Business

We provide firm-level evidence on how politicians’ ideologies affect economic outcomes and financial development by exploring a unique setting of ideological discontinuity in China from Maoism to Dengism around 1978. We find the ideological exposure during a politician’s early adulthood has an enduring effect on contemporary firm and city policies. Firms governed by “Mao’s mayors” have more stakeholder spending, lower pay inequality, and less internationalization than those governed by Deng’s. Further evidence suggests politicians’ ideology may affect economic activities through channels other than economic policy. Selection bias, endogenous matching and mayor age effect are unlikely to drive our results.

How Do Interest Rates Affect Market Capitalization Growth Rates In The Us?, Philip Carolin

Undergraduate Economic Review

This paper investigates how interest rates affect the market capitalization growth rate of individual companies in the US. The research will distinguish itself from previous literature as it analyzes company and macroeconomic data after the 2008 recession. This is particularly interesting as interest rates have been historically low in this time period. Previous research suggests that since the Great Recession the effects of interest rate changes have decreased. On the contrary I will argue that the effects of interest rates still appear to be significant and substantial when explaining the market capitalization growth rate.

Essays On Applied Machine Learning For Implied Volatility Interpolation And Artificial Counterfactuals, Pablo A. Crespo

Dissertations, Theses, and Capstone Projects

This dissertation consists of two chapters.

Chapter 1: Volatility estimates under the risk neutral density have become a much revisited topic of interest in recent years. The density proves itself a powerful tool for sentiment analysis, since its moments provide insights about expectations in price trends. A standard procedure for its extraction utilizes artificial volatility predictions to form a dense enough grid for approximating a complete probability distribution. This paper proposes two common machine learning technique variations to produce implied volatility predictions when data is very scarce. First, a model using regularization through a variation of a generalized LASSO path …

Forecasting Realized Volatility Using A Nonnegative Semiparametric Model, Anders Eriksson, Daniel P. A. Preve, Jun Yu

Research Collection School Of Economics

This paper introduces a parsimonious and yet flexible semiparametric model to forecast financial volatility. The new model extends a related linear nonnegative autoregressive model previously used in the volatility literature by way of a power transformation. It is semiparametric in the sense that the distributional and functional form of its error component is partially unspecified. The statistical properties of the model are discussed and a novel estimation method is proposed. Simulation studies validate the new method and suggest that it works reasonably well in finite samples. The out-of-sample forecasting performance of the proposed model is evaluated against a number of …

Financial Red Flags: Empirical Mapping Of Firm Political Preferences By Sector In Mexico, Ian Connors

Master's Theses

Can the stock market be used to determine the political preferences of individual economic sectors? This paper explores the conceptual relationship between electoral outcomes and financial markets in Mexico. Specifically, it analyzes how financial markets predict the expected effects of a given political platform on the performance of firms within specific sectors. To do this, the study used event-study methodology to calculate abnormal returns on stock prices across the nine sectors listed on the Bolsa Mexicana de Valores stock exchange following the historic election of leftist candidate Andrés Manuel López Obrador (AMLO), On July 1, 2018. However, despite the uncertainty …

The Quality Of Xbrl Structured Financial Statements: An Empirical Examination Of Custom Tags, Aidana Razhap Kyzy

Theses and Dissertations

In 2009 the US Securities and Exchange Commission (SEC) adopted the eXtensible Business Reporting Language (XBRL) system to improve the process by which financial statements can be used. Interactive financial data filed with the SEC using XBRL provides easily readable and comparable financial data, thereby improving transparency and efficiency in the corporate market. SEC rules permit companies to use custom tags in their financial reports in cases when an appropriate element cannot be found in the Financial Accounting Standards Board (FASB) standard XBRL taxonomy. The inordinate use of custom tags may result in a reduction of financial report quality by …

Does Family Income Determine A Children Future Educational Attainment Level?, Diaisha T. Richards

Applied Economics Theses

Family income and education have been a major concern in a variety of researches, and as a topic in society. These two components are a major concern because they are known to be key elements in determining future success for an individual. Various studies investigated the significance, correlations and impacts these two factors have on one another. It is common for the amount of family income obtained to determine how much education one will receive in the future. This study focuses on testing the hypothesis that family income determines how much education a child will receive in the future. By …

The Impact Of Immigration On Financial Markets, Jesse Baker

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

This paper studies the impact of immigration policy on financial markets. I estimate the cumulative abnormal returns surrounding two events the effective start date of the Immigration Act of 1990 and the implementation of the Temporary Protected Status (TPS) of Nicaragua and Honduras in 1999. Focusing on agriculture, construction, and manufacturing firms, I find that the CARs surrounding the events are indeed positive and significant, suggesting that the market anticipated growth among industries that are likely to hire Central American immigrants.

Actuarial Modeling And Analysis Of The Hong Kong Life Annuity Scheme, Koon Shing Kwong, Wai-Sum Chan, Johnny Siu-Hang Li

Research Collection School Of Economics

The Hong Kong Mortgage Corporation (HKMC) Limited, which was established in March 1997 and is wholly owned by the government of the Hong Kong Special Administrative Region, has a major mission to develop and provide different financial retirement instruments to Hong Kong residents to help address the income poverty of retirees. In June 2017, HKMC Annuity Limited, a wholly-owned subsidiary of the HKMC was incorporated to implement a new life annuity scheme which would be launched by mid-2018 to cater for the needs of cash-rich Hong Kong old age residents. The objective of the scheme is to provide an additional …

Given Today's New Wave Of Protectionsim, Is Antitrust Law The Last Hope For Preserving A Free Global Economy Or Another Nail In Free Trade's Coffin?, Allison Murray

Loyola of Los Angeles International and Comparative Law Review

No abstract provided.

Shapes And Transitions Of The Interest Rate Term Structure, Biwei Chen

Dissertations, Theses, and Capstone Projects

I analyze different shapes of Treasury yield curves in order to better reflect and predict the U.S. economy. Since the late 1980s, macroeconomists have found that the slope of the yield curve predicts economic activity such as inflation, output growth, and recessions, but they have not fully examined the links between various shapes of yield curve and the macroeconomy. To fill the gap, I classify yield curve shapes with the U.S. Treasury yield data, detect the shape patterns over the business cycles, and map these shapes onto corresponding inflation and production states. Although the downward-sloping yield curve reliably predicts U.S. …

Estimation Of Multivariate Asset Models With Jumps, Angela Loregian, Laura Ballotta, Gianluca Gianluca Fusai, Marcos Fabricio Perez

Business Faculty Publications

We propose a consistent and computationally efficient two-step methodology for the estimation of multidimensional non-Gaussian asset models built using Levy processes. The proposed framework allows for dependence between assets and different tail behaviors and jump structures for each asset. Our procedure can be applied to portfolios with a large number of assets as it is immune to estimation dimensionality problems. Simulations show good finite sample properties and significant efficiency gains. This method is especially relevant for risk management purposes such as, for example, the computation of portfolio Value at Risk and intra-horizon Value at Risk, as we show in detail …

M&A Performance: Market’S Initial Reaction As An Unbiased Indicator Of Post-Acquisition Performance, Nikolaos Papageorgiou

CMC Senior Theses

This paper investigates the reliability of the stock market’s initial reaction to M&A announcements as a predictor of actual post-acquisition performance. The two prevailing methods for evaluating M&A performance are event studies (stock market-based measures) and accounting-based measures. The present study combines these two performance evaluation approaches in a single empirical examination. Both the post-merger buy-and-hold abnormal returns and changes in ROA are used as actual post-acquisition performance variables. The acquirer’s cumulative abnormal return (CAR) around the announcement is used as the market predictor variable. An econometric model is employed to test the predictive power of the announcement-period CAR on …

An Examination Of The Stock Market's Effect On Economic Inequality, Nicholas Golina

Williams Honors College, Honors Research Projects

The economic literature on economic inequality has shown that it can negatively impact aggregate demand because it indicates a higher concentration of wealth in the hands of the top 10% as opposed to the poor and middle class, who are more likely to consume. The literature has identified many factors that can lead to increasing inequality. The stock market could be one of those factors since it can either create an upward redistributive effect towards the top 10% or redistributive effect towards the middle class. This paper tested the effect of the stock market on inequality. This study contributes to …

Are Cds Auctions The Tail Wagging The Dog? An Empirical Study Of Corporate Bond Return Volatility At The Time Of Default, Jennifer Mace

CMC Senior Theses

Over the past decade, numerous engineered credit events and cases of market participants manipulating bond prices to influence Credit Default Swap (CDS) auction payouts have occurred. These cases have become increasingly common, and the CFTC has stated they may constitute market manipulation and undermine not only the CDS market but also the credit derivative and default markets. Although there is a plethora of news and media coverage on publicized cases, there is no previous empirical research on evidence of these practices. This paper is motivated by the desire to determine if there is indirect evidence of bond price manipulation around …

Nonlinearities In The Real Exchange Rates: New Evidence From Developed And Developing Countries, Yamin S. Ahmad, Ming Chien Lo, Olena M. Staveley-O'Carroll

Economics Department Working Papers

This paper investigates nonlinearities in the dynamics of real exchange rates. We use Monte Carlo simulations to establish the size properties of the Teräsvirta-Anderson (1992) and the Teräsvirta (1994) test, when the dynamics of the real exchange rate is influenced by an exogenous process. In addition, we examine the modification proposed by Ahmad, Lo and Mykhaylova (2013; Journal of International Economics) to show that the modified nonlinearity test performs much better than the original in both Monte Carlo exercises and in the actual data on 1431 bilateral real exchange rate series. Finally, we investigate the dynamics of the real exchange …

Financial Bubble Implosion And Reverse Regression, Peter C. B. Phillips, Shu-Ping Shi

Research Collection School Of Economics

Expansion and collapse are two key features of a financial asset bubble. Bubble expansionmay be modeled using a mildly explosive process. Bubble implosion may take several differentforms depending on the nature of the collapse and therefore requires some flexibility in modeling.This paper first strengthens the theoretical foundation of the real time bubble monitoringstrategy proposed in Phillips, Shi and Yu (2015a,b, PSY) by developing analytics and studyingthe performance characteristics of the testing algorithm under alternative forms of bubbleimplosion which capture various return paths to market normalcy. Second, we propose a newreverse sample use of the PSY procedure for detecting crises and …

A Dynamic Network Perspective On The Latent Group Structure Of Cryptocurrencies, Li Guo, Yubo Tao, Wolfgang Karl Hardle

Research Collection School Of Economics

In this paper, we study the latent group structure in cryptocurrencies market by forming a dynamic return inferred network with coin attributions. We develop a dynamic covariate-assisted spectral clustering method to detect the communities in dynamic network framework and prove its uniform consistency along the horizons. Applying our new method, we show the return inferred network structure and coin attributions, including algorithms and proof types, jointly determine the market segmentation. Based on the network model, we propose a novel "hard-to-value" measure using the centrality scores. Further analysis reveals that the group with a lower centrality score exhibits stronger short-term return …

Are Volatility Expectations In Different Countries Interdependent? A Data-Driven Solution To Structural Var Identification For Implied Equity Volatility Indices, Timothy De Silva

Undergraduate Economic Review

Over the past couple of decades, the number of volatility indices has increased rapidly. Although the dynamics of realized volatility spillover have been studied extensively, very few studies exist that examine the spillover between these implied volatility indices. By using DAG-based structural vector autoregression, this paper provides evidence that implied volatility spillover differs from realized volatility spillover. Through solving the well-known VAR identification problem for these indices, this paper finds that Asia, more specifically Hong Kong, plays a central role in implied volatility spillover during and after the 2008 financial crisis.

Entrepreneurship Education Empowers Youth To Change Their Lives, Marianna Brashear, Jason Riddle

National Youth Advocacy & Resilience Conference

The Foundation for Economic Education (FEE) aims at equipping Title 1 schools with free, hands-on, engaging materials that any teacher can facilitate either individually or in a classroom setting with no background in entrepreneurship necessary. These versatile lessons, courses, and workshops teach the entrepreneurial mindset optimizing opportunities for grades 8-12 students no matter which life/career path they choose.

Bayesian State Space Representation Model: Applications To Macroeconomics And International Finance, Hiroshi Morita

Dissertations, Theses, and Capstone Projects

This dissertation develops three new econometric models using Bayesian state space representation model in order to apply to macroeconomics and international finance. It consists of 3 chapters. Chapter 1 develops a Markov mixture model of macroeconomic fundamentals to analyze the short-run dynamics of foreign exchange rates. In our model, foreign exchange rates are simultaneously determined by three parities: the interest rate parity, the inflation rate parity, and the equity return rate parity. Using four exchange rates: the U.S. dollar price of the British pound, the German mark, the Japanese yen, and the Canadian dollar, the findings are: (1) Our model …

Resources, Financial Sector Development, Governance And Growth In South Africa: A Time Series Analysis, Kehinde Abiodun

Masters Theses

We examine the impact of financial sector development - proxied by domestic credit and market capitalization - mineral rent, and quality of governance on economic growth in South Africa. The novelty of this thesis lies in the introduction of an interaction term between mineral rent and quality of governance, which is iterated along with the other afore-mentioned variables in a five-model estimation. Two other variables: trade and government expenditure are also added to the mix.

We developed five models to test the impacts of the different variables using the error correction model. In all five models, we find, consistently, a …

Are Volatility Expectations In Different Countries Interdependent? A Data-Driven Solution To Structural Var Identification For Implied Equity Volatility Indices, Timothy H. De Silva

CMC Senior Theses

Over the past couple of decades, the number of volatility indices has increased rapidly. These indices seek to represent the market’s expectation of realized volatility over the coming month, based on the prices of options traded on each underlying equity index. Although the dynamics of realized volatility spillover have been studied extensively, very few studies exists that examine the spillover between these volatility indices. By using DAG-based structural vector autoregression, this paper provides evidence that implied volatility spillover differs from realized volatility spillover. Through solving the well-known VAR identification problem for these indices, this paper finds that Asia, more specifically …