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Is there a rules-based explanation for the low interest rates and quantitative easing undertaken by the Federal Reserve following the Global Financial Crisis? The question is important as it pertains to the ongoing debate between rules-based and discretionary monetary policy. It is also important in the search for a Taylor

Is there a rules-based explanation for the low interest rates and quantitative easing undertaken by the Federal Reserve following the Global Financial Crisis? The question is important as it pertains to the ongoing debate between rules-based and discretionary monetary policy. It is also important in the search for a Taylor Rule modification that can fill in the gap left by the breakdown of the original rule following the GFC. This paper examines a recent Taylor Rule modification proposed from James Bullard, President of the St. Louis Federal Reserve, to see if this modification can explain Fed actions following the GFC. The modification is analyzed in the same two ways that the original Taylor Rule was evaluated. Namely, this paper tests the economic logic of the modification as well as examines how well the rule's policy rate prescription has fit the actual federal funds rate over time. The economic logic of the modification is examined during recessions. The fit between the rule's policy rate prescription and the actual federal funds rate is examined using r-squared. I conclude that by changing the neutral rate in a Taylor-type rule, Bullard provides a credible policy rule that helps explain Fed behavior following the GFC.
ContributorsCowan, Daniel Jonathan (Author) / McDowell, John (Thesis director) / Templeton, Len (Committee member) / McDaniel, Cara (Committee member) / Department of Finance (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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This dissertation consists of three essays studying topics in financial economicsthrough the lens of quantitative models. In particular, I provide three examples of the effective use of data in the disciplining of financial economics models. In the first essay, I provide evidence of a significant transitory component of aggregate equity payout. Leading asset

This dissertation consists of three essays studying topics in financial economicsthrough the lens of quantitative models. In particular, I provide three examples of the effective use of data in the disciplining of financial economics models. In the first essay, I provide evidence of a significant transitory component of aggregate equity payout. Leading asset pricing models assume exogenous dividend growth processes which are inconsistent with this fact. I find that imposing market clearing for consumption and income in these models induces the relevant behaviors in dividend growth, even when dividend growth is obtained indirectly. In the second essay, I provide a novel decomposition of the unconditional equity risk premium. In the data, the majority of the equity premium is attributable to moderate left tail risks, not those associated with disaster states. In stark contrast to the data, leading asset pricing models do not predict that this intermediate left tail region meaningfully contributes to the equity premium. The shortcomings of the models can be pinned on unreasonably low prices of risk for tail events relative to the data. In the third essay, I document a large dispersion in household allocations to risky assets conditional on age. I show that while standard household portfolio choice models can be made to match the average risky share over the lifecycle, the models fall short of generating sufficient heterogeneity in the cross-section of household portfolios.
ContributorsBeason, Tyler (Author) / Mehra, Rajnish (Thesis advisor) / Wahal, Sunil (Thesis advisor) / Pruitt, Seth (Committee member) / Schreindorfer, David (Committee member) / Arizona State University (Publisher)
Created2021
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This paper intends to examine topics related to Chinese financial policy and
institutions mainly in the early 21st century. China has gone through enormous changes in the late 20th century and early 21st century, and financial policy reforms and adjustments have been at times instrumental to aiding that growth, and

This paper intends to examine topics related to Chinese financial policy and
institutions mainly in the early 21st century. China has gone through enormous changes in the late 20th century and early 21st century, and financial policy reforms and adjustments have been at times instrumental to aiding that growth, and at other times have served as impediments to the country’s success. As China’s clout has grown both economically and politically in the wider world, it has become evermore important to understand the Chinese financial system, particularly as other authoritarian regimes may seek to emulate it in the perhaps recent future. The paper will examine the institutional elements of Chinese finance, including the broader structure of the party state apparatus and the role of legislative and executive authorities in determining financial policy. Next, the paper will go through both the legal-regulatory environment of the country and the structure of the preeminent Chinese banks. Finally, issues in Chinese monetary policy, particularly exchange rate system reforms, and the developing stock and bond markets will be addressed.
ContributorsFeatherston, Ryan (Author) / Hill, John (Thesis director) / Mendez, Jose (Committee member) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
My project has been a long journey, one that I have learned a tremendous amount on. The final version of my project has come out to be a booklet teaching first time users of code and python the basic steps of getting started and some vital information that I learned

My project has been a long journey, one that I have learned a tremendous amount on. The final version of my project has come out to be a booklet teaching first time users of code and python the basic steps of getting started and some vital information that I learned while I was learning the language. I started my thesis with the idea of creating a portfolio of stock, bonds and commodities to determine the best allocation of your money over a 30-year period. To do this, I needed to learn how to code and become proficient quickly so I could create a program that would be powerful enough as well as spit out the correct output in the end. Unfortunately, I fell short of being able to build this portfolio out. I took on the challenge of learning Python on my own with no knowledge of any coding language to see if I could pull the whole project together. I failed, but I learned so much along the way and that I think is more valuable than anything. Since I was unable to complete my code, I shifted my attention to creating a small booklet on the basics of getting started in Python as if you have never looked at a coding language. Many of the tips I discuss in my booklet are problems I struggled with when I began. In the beginning I couldn’t even figure out how to get to a coding platform to begin my work, so I began to research and found many helpful tips that took me quite a while to understand.
ContributorsToumbs, Jason David (Author) / Boguth, Oliver (Thesis director) / Schreindorfer, David (Committee member) / Department of Finance (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
This dissertation consists of three essays studying the relationship between corporate finance and monetary policy and macroeconomics. In the first essay, I provide novel estimations of the monetary policy’s working capital channel size by estimating a dynamic stochastic macro-finance model using firm-level data. In aggregate, I find a partial channel

This dissertation consists of three essays studying the relationship between corporate finance and monetary policy and macroeconomics. In the first essay, I provide novel estimations of the monetary policy’s working capital channel size by estimating a dynamic stochastic macro-finance model using firm-level data. In aggregate, I find a partial channel —about three-fourths of firms’ labor bill is borrowed. But the strength of this channel varies across industries, reaching as low as one-half for retail firms and as high as one for agriculture and construction. These results provide evidence that monetary policy could have varying effects across industries through the working capital channel. In the second essay, I study the effects of the Unconventional Monetary Policy (UMP) of purchasing corporate bonds on firms’ decisions in the COVID-19 crisis. Specifically, I develop a theoretical model which predicts that the firm’s default probability plays a crucial role in transmitting the effects of COVID-19 shock and the UMP. Using the model to evaluate two kinds of heterogeneities (size and initial credit risk), I show that large firms and high-risk firms are more affected by COVID-19 shock and are more responsive to the UMP. I then run cross-sectional regressions, whose results support the theoretical predictions suggesting that the firm’s characteristics, such as assets and operating income, are relevant to understanding the UMP effects. In the third essay, I document that capital utilization and short-term debt are procyclical. I show that a strong positive relationship exists at the aggregate and firm levels. It persists even when I control the regressions for firm size, profits, growth, and business cycle effects. In addition, the Dynamic Stochastic General Equilibrium (DSGE) model shows that in the presence of capital utilization, positive real and financial shocks cause the firm to change its financing of the equity payout policy from earnings to debt, increasing short-term debt.
ContributorsGalindo Gil, Hamilton (Author) / Pruitt, Seth (Thesis advisor) / Schreindorfer, David (Thesis advisor) / Bessembinder, Hendrik (Committee member) / Mehra, Rajnish (Committee member) / Arizona State University (Publisher)
Created2022