Africa is one of the richest continents on the planet in terms of natural resources, but has the highest poverty rate, fastest growing population and includes many of the world ́s most corrupt countries. There is an ongoing discussion if the quality of institutions affects economic growth, and the applicability of economic institutional theory to the African continent. North and Thomas (1973) argues that indicators such as education innovation, capital accumulation, etc. are not causes of growth itself but rather the growth itself. Instead they suggest that economic institutions are the fundamental reason behind economic growth, since they allow new ideas, and firms and stakeholders to exist in the market. Our research question therefore examines if the quality of institutions can explain the rate of economic growth in Africa? In this study we used a panel data analysis based on 12 variables including, GDP per capita growth, Rule of Law, Control of corruption, Voice and Accountability, Government Effectiveness, Regulatory Quality, Political Stability and Absence of Violence/Terrorism, Education, Population, Foreign Direct Investment, Gross Capital Formation as well as initial GDP, between year 2003-2017, to examine the relationship between economic performance and institutional quality in 50 African countries. Our results showed that six out of our six institutional variables had a positive significant effect on economic growth. This supports the theory that institutional quality impacts economic growth.

Drought, which is an important result of the climate change, is one of the most serious natural hazards globally. It has been agreed all over the world that it has adverse impacts on the production of agriculture, which plays a major role in the economy of a country. Studies showed that the results of the drought directly affected the crop yields, and it seems that this negative impact will continue drastically soon. Moreover, many researches revealed that, Turkey will be affected from the results of climate change in many aspects, especially the agricultural production will encounter dry seasons after the rapid changes in the precipitation amount. Insurance is a well-established method, which is used to share the risk based on natural disasters by people and organizations. Furthermore, a new way of insuring against the weather shocks is designing index-based insurance, and it has gained special attention in many developing countries. In this study, our aim is to model weather index based drought insurance product to help the small holder farmers in the Cental Anatolia Region under different models. At first, time series techniques were applied to forecast the wheat yield relying on the past data. Then, the AMS (AgroMetShell) software outputs, NDVI (Normalized Difference Vegetation Index) values were used, and SPI values for distinct time steps were chosen to develop a basic threshold based drought insurance for each province. Linear regression equations were used to calculate the trigger points for weather index, afterwards based on these trigger levels / pure premium and indemnity calculations were made for each province separately. In addition to this, Panel Data Analysis were used to construct an alternative linear model for drought insurance. It can be helpful to understand the direct and actual effects of selected weather index measures on wheat yield and also reduce the basis risks for constructed contracts. A simple ratio was generated to compare the basis risk of the different index-based insurance contracts.

abstract: Although margin trading has significant impacts on the stock market, extant research has mainly focused on its effect on stock price volatility and has rarely examined its influence on the rate of returns. In addition, little systematic research has examined the differential effects of margin trading under different circumstances. This thesis examines the effects of margin trading in bull market, bear market, balanced market and among stocks included in main board, SMEs(small and medium-sized enterprises) board, GEM(growth enterprises board), as well as large-cap and small-cap in China. I further studied the long-, medium-, and short-term influences of margin trading on the volatility of stock price, return rate, and liquidity of the market by both using the SVAR model and conducting panel data analyses. The findings show that: a)Volatility. Margin trading can effectively curtail the medium- and short-term volatility of the share price under any market condition but has no prominent influence on long-term volatility. b)Profitability. Margin trading enhances profitability in the bull market with an apparent leverage effect while having no significant effects on short-term profitability in the balanced market and the bear market. c) Individual shares with different attributes. The influences of margin trading on the large-cap and small-cap shares, shares with high vs. low PE ratio, shares included in the main board and SMEs stocks vary in different types of market. d) Liquidity. The influences of margin trading on the fluidity of market are significantly different in the bull, bear, and balanced markets. Finally, I set up a new trading strategy based on the above conclusions. The result from hypothetical trading demonstrates that the newly-created trading strategy works better than the long-term holding strategy, highlighting the practical implications of this thesis in addition to its implications for research / Dissertation/Thesis / Doctoral Dissertation Business Administration 2018

Na teoria clássica de finanças, o sentimento do investidor não é considerado um fator importante sobre os preços das ações. Embora a existência do sentimento do investidor não seja negada, as teorias normalmente partem do princípio de que, em mercados financeiros competitivos, comportamentos de agentes quase-racionais são rapidamente eliminados. Esta tese tem o objetivo de investigar a relação entre o sentimento de mercado e as taxas de retorno futuras das ações. É proposta uma metodologia para a criação de um índice de sentimento específico para o mercado brasileiro com uso da análise de componentes principais. Com o objetivo de verificar a relação deste índice de sentimento com as taxas de retorno das ações, foi estimado um modelo de apreçamento em que esta variável foi incluída, para o período de 1999 a 2008. A amostra foi composta por empresas não-financeiras com ações listadas na BOVESPA, com uma negociabilidade mínima que garantisse observações suficientes e representativas para validar os resultados encontrados na pesquisa. O modelo de apreçamento foi estimado por GMM, levando em consideração o índice de sentimento de mercado, o risco sistêmico das empresas (medido pelo beta) e fatores como tamanho, índice market-to-book, alavancagem, momentum e crescimento da receita. Empregaram-se diferentes procedimentos para estimar os parâmetros dos modelos empíricos formulados, com o propósito de isolar influências espúrias, ocasionadas pela presença de heterogeneidade não-observada, pela existência de eventuais observações extremas ou mesmo pela possível endogeneidade dos regressores. Os resultados deste estudo empírico sugerem que o sentimento é um fator relevante no apreçamento das ações no mercado brasileiro. A relação negativa e significante entre o índice de sentimento e as taxas de retorno, encontrada consistentemente em diferentes modelos, indica um padrão de reversão nas taxas de retornos, ou seja, após um período de sentimento positivo, o impacto nas taxas de retorno no período seguinte é negativo, e vice-versa. / In classical finance theory investor sentiment is not considered an important factor in asset pricing. Although the existence of investor sentiment is not denied, theories assume that in competitive markets quasi-rational behavior is quickly offset by rational agents. The main goal of this thesis is to investigate the relationship between investor sentiment and future stock return rates. It is proposed a methodology to create a sentiment index specifically to the Brazilian market using principal components analysis. In order to analyze the relationship between this sentiment index and the future stock returns, it was estimated a pricing model including this variable for the period comprehending 1999 to 2008. Considering a negotiability restriction to assure representative and sufficient observations to validate a pricing model, the sample consisted of non-financial firms listed at BOVESPA. The pricing model was estimated by GMM considering the sentiment index, systematic risk (market beta) and factors as firm size, market-to-book ratio, leverage and return predictability measured by momentum or income growth. Different estimation procedures were applied to find empirical models coefficients which are less affected by spurious influence such as unobserved heterogeneity, outliers or possible regressors endogeneity. Results of the empirical study suggest that sentiment is a relevant factor in Brazilian asset pricing models. A negative and statistically significant relationship between the sentiment index and stock returns was consistently found in different models specifications. These findings suggest the existence of a reversion pattern in stock returns, meaning that after a positive sentiment period, the impact on subsequent stock returns is negative and vice-versa.

The aim of this thesis is to investigate stock price sensitivity of 50 European companies to oil price changes using panel data analysis. Besides that, this Thesis compares sensitivities of different groups of companies. The first comparison is between Eastern and Western European companies. The second comparison is between different segments of the oil industry. Specifically, Upstream, Midstream, Downstream segment and integrated oil companies. The main finding of this thesis is that there is a positive dependence between oil price and stock prices of European oil companies. Moreover, there is a significant difference between sensitivity of Upstream and integrated companies. However, no significant difference in sensitivity of western and eastern European comapnies was found.

This research addressed two main issues that have become evident in studies of interstate cooperation. The first issue has to do with the relationship between cooperation and conflict. Can they be represented on a single, uni-dimensional continuum, or are they better represented by two theoretically and empirically separable dimensions? Granger causality tests were able to clarify the nature of cooperative events. The second issue is related to factors that might facilitate or discourage cooperation with other countries as a foreign policy tool. Factors used to explain cooperation and conflict include domestic variables, which have not been fully accounted for in previous empirical analyses. It is hypothesized that economic variables, such as inflation rates, GDP, and manufacturing production indices affect the likelihood of cooperative event occurrences. The effect of political dynamics, such as electoral cycles, support rates and national capability status, can also affect the possibility of cooperative foreign policies. The domestic factors in panel data was tested with Feasible Generalized Least Square (FGLS) in order to take care of heteroscedasticity and autocorrelations in residuals. The individual case analysis used linear time series analysis.

Numerous companies experienced the digital transformation of their functional and operationalstrategies. Among all the business sectors, which are being transformed, the industrial sector exhibits aconsiderable delay in transforming its operational strategy. The most significant underlying reason isthe high expenditure involved in upgrading the hardware components and infrastructure. According tothe literature, transformed companies enjoyed higher revenues and became more innovative. However,in most researches, an instant character was given to the transformation, and only a few years wereinvestigated; therefore, there was a need to describe the dynamics of the transformation with differentstages based on how it was executed. The digital transformation variable constructed in this studycontained the missing information from both the time the transformation was implemented and thespecific level it has reached. In particular, the investigated sample included ten firms from theindustrial sector of motion, automation, and robotics over ten years, and a panel data analysis wasconducted by utilizing the developed digital transformation variable. The analysis revealed that boththe business revenue and patented innovations were positively related to the transformation. Thetransformation brought immediate results to the innovation aspects, and all the examined companiesimproved their patented innovations. In contrast, the relationship of the business revenue with thelevel of the digital transformation was found impaired compared to previous studies. The investigationof the impact of the time lag resulted in the same conclusions for both explored variables, whereas themodel has been found robust against changes in the constructed digital transformation variable. Sincemore time and resources are required for the industrial sector to enjoy the transformation benefits, thissector must be studied independently by understanding its unique implications for the interpretation ofthe transformation outcomes.

Over the past two decades there has been a significant increase in the support for radical-right populist parties in Europe. Simultaneously the income inequality has been rising. The aim of this thesis is to examine how income inequality affects the support for populist radical-right parties. To achieve this, we study the support for the Sweden Democrats, a radical-right populist party, and income inequality measured as the Gini coefficient. Using Swedish municipality level panel data of the election years from 2002 to 2014, a fixed effects-method is employed to examine the relationship between the Gini coefficient and support for the Sweden Democrats. Interestingly, the results show a robust statistically significant negative relationship between income inequality and support for the Sweden Democrats. Thus, our findings indicate that increased inequality decreases the support for the Sweden Democrats.

<p dir="ltr">Airport parking revenues become essential in maintaining daily aeronautical and non-aeronautical operations and financing capital expenditures. There exist significant variations between different airports in terms of their parking revenues, and such variations will not be eliminated when airport parking revenue is standardized by passenger volume. Given the limited empirical research on airport parking revenues, this study examines the variation of airport parking revenue per locally originating passenger using random-effects regression on a five-year panel dataset. Our regression results reveal a significant positive relationship between airport economy parking price and airport parking revenue per locally originating passenger. Additionally, we find a significant positive relationship between household vehicle ownership and airport parking revenue per locally originating passenger. However, the number of offsite parking service providers can lead to a significant negative effect on airport parking revenue per locally originating passenger. Based on these findings, airport operators can implement strategic management initiatives tailored to local market conditions, with the goal of optimizing airport parking revenues and improving passenger welfare.</p>

Si les fonds souverains ne sont pas nouveaux, leur nombre et leur pouvoir financier n’ont cessé de croître depuis le début des années 2000, suscitant de nombreuses inquiétudes, notamment dans les pays développés. Les fonds souverains sont-ils guidés par les mêmes motivations que les investisseurs institutionnels ? Leur pouvoir financier risque-t-il de déstabiliser les marchés? Ces interrogations ont fait des fonds souverains un thème de recherche à part entière dans lequel s’inscrit ce travail de recherche. Le premier essai de cette thèse contribue à identifier les principaux facteurs susceptibles d’inciter un pays à créer un fonds souverain. En outre, les stratégies d’investissement des fonds souverains suscitent de nombreuses interrogations : poursuivent-ils un objectif de rendement financier ou ont-ils des objectifs plus stratégiques? Le deuxième essai met en évidence la complexité du processus de décision des fonds souverains en testant s’ils préfèrent investir dans des pays qui leurs sont familiers et/ou dans des pays dans lesquels ils ont déjà investi par le passé. Dans le prolongement de cette analyse, le troisième essai s’intéresse plus spécifiquement aux déterminants des prises de participations majoritaires des fonds souverains en se focalisant sur un groupe de fonds particulièrement actifs : les fonds des Pays du Golfe. Plus précisément, cette analyse vise à identifier les facteurs qui influencent la décision de prendre le contrôle dans une entreprise donnée. / If Sovereign Wealth Funds (SWFs) are not new, their number and their financial power have grown sharply since the beginning of the 2000's, which raise concerns, particularly among developed countries. Are SWFs' motives comparable to other institutional investors'? May SWFs investments destabilize financial markets? These concerns have encouraged researchers to investigate the issues raised by SWFs and it has now become a subject of research in its own rights. This thesis is in line with this literature. The first essay of this thesis identifies the main factors driving the decision to establish a fund. Moreover, investment decisions of SWFs are not well understood yet. Are SWFs investments driven by the search for financial profits or do they pursue more strategic objectives? The second essay highlights the complexity of the investment decision-making process of SWFs, testing if they rather invest in countries with which they share common characteristics and/or in countries where they have already invested. In line with this second essay, the third essay analyzes more specifically the determinants of majority acquisitions made by SWFs by focusing on some particularly active funds: Gulf Countries' SWFs. More precisely, this analysis aims at identifying both microeconomic and macroeconomic factors driving the decision to acquire a majority stake in a cross-border firm.