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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.
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.
Micro influencers have become extremely powerful in terms of swaying buying patterns among consumers. This thesis examines the greater impact that micro influencers have on brand marketing. This was completed through a literature review that highlights the evolution of marketing, influencer marketing, discussing reach, relevance, and resonance, and Generation Z’s purchasing decisions. In addition, we conducted an online survey through Qualtrics that allowed us to analyze the impact social media influencers have. The results of our research indicate that TikTok is used most frequently, but Instagram is where social media influencers are followed most. From our data, we concluded that Generation Z is most influenced by authentic, genuine content created by influencers regardless of follower count. We recommend that a brand interested in reaching Generation Z (we refer to the brand as “Brand X”) use micro influencers, as our research shows that genuine relationships are valued among this generation. We believe that micro influencers are the most valuable to use as they are able to create meaningful relationships with consumers due to their reach, relevance, and resonance with the individuals their content reaches.