Social and Behavioral Sciences Commons^™

Fiscal And Monetary Policies And Stock Market, Ilhami Gunduz

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters.

The first chapter analyzes the stock market transmission channel of the monetary policy of the Turkish economy not only at the aggregate but also at the sectoral level in a structural vector autoregression (SVAR) framework. I adopt alternative variables as a policy instrument. When the spread is used as a policy instrument, I find that contractionary monetary policy has a significant negative effect on both output and the price level and it appreciates the Turkish Lira. In addition, tight monetary policy reduces both aggregate and sectoral market returns. Hence, the results suggest that policymakers …

Stock Market Transmission Channel Of Monetary Policy: Empirical Evidence From Turkey, Ilhami Gunduz

Publications and Research

Monetary policy is one of the instruments that policymakers use to provide both sustainable economic growth and price stability. In this study, I analyze the stock market transmission channel of the monetary policy of the Turkish economy not only at the aggregate but also at the sectoral level in a structural vector autoregression (SVAR) framework. I adopt alternative variables as a policy instrument. When the spread is used as a policy instrument, I find that contractionary monetary policy has a significant negative effect on both output and the price level, and it appreciates the Turkish Lira. Besides, the tight monetary …

New Kid On The Blockchain: The Rise Of Cryptocurrency In The Global Arena: Humanitarian Usage With Blockchain, Rhonda S. Binda

Open Educational Resources

In 2018, the world was shaken by the fast rise of Bitcoin and other cryptocurrencies that use a decentralized, blockchain technology for payment transfers outside of the traditional banking system. The potential impact this alternative form of banking could have in the medium and long term on the over 2 billion people globally unbanked is tremendous. Additionally, blockchain itself is being used for value transfer combined with bio and genetic tagging technologies in refugee camps for example, bringing to rise a new era where technology for development is disrupting education, healthcare and security programs globally.

Pricing Climate Change Risk In Corporate Bonds, Elsa Allman

Publications and Research

This paper examines whether corporate bondholders price climate change risk. I find that firms exposed to higher sea level rise (SLR) across U.S. branch locations pay a premium when issuing bonds. Specifically, a one standard deviation increase in a firm’s SLR exposure is associated with a 2% increase of average yield spreads equivalent to 4 basis points. This effect is more pronounced for firms in industries vulnerable to extreme weather conditions, which are less spatially diversified, and issuing bonds with maturities ranging from 5 to 10 years. In addition, I find no evidence that credit rating agencies account for SLR …

Essays In Financial Economics And Applied Macroeconomics, Marius Mihai

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters that cover topics in finance and macroeconomics.

Chapter 1 - Do Credit Booms Predict U.S. Recessions?

This paper investigates the role of bank credit in predicting U.S. recessions since the 1960s in the context of a bivariate probit model. A set of results emerge. First, credit booms are shown to have strong positive effects in predicting declines in the business cycle at horizons ranging from six to nine months. Second, by isolating the effect of credit booms, I identify their contributions to recession probabilities which range between three and four percentage points at a …

Applications Of Machine Learning And Deep Learning In Macroeconomic And Financial Forecasting, Andi Cupallari

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters.

In the first chapter I propose a novel approach to forecast risk premia selecting relevant predictors among hundreds of correlated stock characteristics. I adapt a recently developed method from the deep learning literature, Deep Neural Networks with Group Lasso Regular- ization. This method achieves high out of sample R2, and at the same time yields a sparse representation of the characteristics space that allows for interpretability of the otherwise black box deep learning model. For each period, the model chooses a subset of characteris- tics to be relevant for the risk premia forecast. Our …

Economics Of Higher Education Productivity, Uchenna K. Oparah

Dissertations, Theses, and Capstone Projects

How does spending affect academic outcomes in higher education institutions? Postsecondary schools incur costs to provide services to its student body. In this study, I introduce multiple outcome variables, a two-stage production function, and current-year expenditures on core services to evaluate how school spending affects academic outcomes.

The empirical analysis includes 28 group sample parameter estimates from four outcome variables, the pooled sample, and group samples for each of six sectors. The fixed effects/instrumental variable (FE-IV) instructional expenditure parameter estimates were positive for 20 of the 28 group samples. The sign and size of the estimated academic output effects varied …

Shocks To Aggregate Demand And Aggregate Supply In The Midst Of Covid-19, Anna M. Gellerman

Publications and Research

COVID-19 sent shockwaves throughout the economy, changing the amounts of goods and services distributed and altering the demand. This article discusses the negative demand shock and adverse supply shock that the U.S. economy faced in 2020, and the policies that the government implemented to reverse these effects.

Essays On Anomalies In International Equity Markets, Xiao Cheng

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters related to empirical asset pricing in the international stock market.

Chapter 1: "Loss of International Sales and Stock Performance" Using international firm-level data from 1990-2015, I show that when global firms' total international sales drop to zero, this conveys an important signal about future firm operations. An equal-weighted portfolio that sells stocks of firms that completely lost international sales and buys stocks of global firms earns up to 86 basis points per month (over 10% per year). This return predictability cannot be explained by the Fama-French international three- or five-factor models. Further examination suggests …

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 …