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- Creators: Department of Finance
- Creators: Arizona State University
- Member of: Theses and Dissertations
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Our findings show that over 70% of an ETFs standard deviation of premia can be explained through a linear combination consisting of two variables: a categorical (Domestic[US], Developed, Emerging) and a discrete variable (time-difference from US). This paper also finds that more traditional metrics such as market cap, ETF price volatility, and even 3rd party market indicators such as the economic freedom index and investment freedom index are insignificant predictors of an ETFs standard deviation of premia when combined with the categorical variable. These findings differ somewhat from existing literature which indicate that these factors should have a significant impact on the predictive ability of an ETFs standard deviation of premia.
The second chapter develops investment policy model which associated with du- ration of cash flow. Firms are doing their business by operating a portfolio of projects that have various duration, and the duration of the project portfolio generates dif- ferent duration of cash flow stream. By assuming the duration of cash flow as a firm specific characteristic, this paper analyzes how the duration of cash flow affects firms’ investment decision. I develop a model of investment, external finance, and savings to characterize how firms’ decision is affected by the duration of cash flow. Firms maximize total value of cash flow, while they have to maintain their solvency by paying a fixed cost for the operation. I empirically confirm the positive correlation between duration of cash flow and investment with theoretical support. Financial constraint suffocates the firm when they face solvency issue, so that model with financial constraint shows that the correlation between duration of cash flow and investment is stronger than low financial constraint case.
Abstract<br/>Foreign Direct Investment has been pursued to economically integrate countries and to increase economic development. This has been accomplished partly through the WTO and Free Trade Agreements (FTAs), which have spurred foreign direct investment (FDI) by removing barriers to trade tariff and nontariff. In addition, they also created a framework and legal guidelines and regulations for investment and trade. Research suggests that this is the case when looking at country level data before and after FTAs go into effect. Although the existing literature offers important insights a weakness is it does not often look at the relationship between FTAs and FDI by analyzing firm level data. This is an important relationship to be studied as, beyond governments multinational companies (MNCs) are one of few key actors that can benefit the most and have the capabilities to take advantage of these FTAs. Therefore, studying the relationship between MNCs and their investments both before and after an FTA is signed is important to see if FDI would change in response to Free Trade Agreements and have an impact at the MNC level deployment of FDI. This would be significant to see if the current steady for attracting FDI is working. This is also important as FDI helps countries develop. Therefore, it can be seen as an exceptional contribution to the overall research on the subject. In this paper I will explore how companies have reacted to the formation of FTAs as well as the distinct effects of North-South South-South and North-North Agreements on firm’s investment strategies, using firm level data and drawing on interviews with multiple trade officials.
The United States and the Soviet Union faced off in Europe, but what did the spread of their influence look like around the globe? This is answered through researching the economic and political nuances of the Cold War.
Using panel data for 28 countries, all within the European Union from the period spanning 2012 to 2019, this paper empirically investigates the following question: do the savings or investment rates have an impact on the overall trade balance of each country? If so, how? With three econometric models, it estimates impacts and variations between all European Union countries, euro countries, and non-euro countries, and evaluates results in the context in which they are measured.