Interdependence of Macroeconomics Variables, Stock Market Returns and Stock Market Volatility in Latin America

This thesis examines the interdependence of macroeconomic variables, stock market returns and stock market volatility in Latin America between 2000 and 2015. Argentina, Brazil, Chile, Colombia, Mexico and Peru were chosen as the sample markets, while inflation, interest rate, exchange rate, money supply, oil and gold were chosen as the sample macroeconomic variables. Bivariate VAR (1) model was applied to examine the mean return spillovers between the variables, whereas GARCH (1, 1) – BEKK model was applied to capture the volatility spillovers. The sample was divided into two smaller sub-periods, where the first sub-period covers from 2000 to 2007, and the second sub-period covers from 2007 to 2015. The empirical results report significant shock transmissions and volatility spillovers between inflation, interest rate, exchange rate, money supply, gold, oil and the selected markets, which suggests interdependence between the variables.

TAKING ADVANTAGE OF THE LOCAL ADVANTAGE? - Investment value of the analyst local advantage in the Finnish stock market in 2006–2014

An investor can either conduct independent analysis or rely on the analyses of others. Stock analysts provide markets with expectations regarding particular securities. However, analysts have different capabilities and resources, of which investors are seldom cognizant. The local advantage refers to the advantage stemming from cultural or geographical proximity to securities analyzed. The research has confirmed that local agents are generally more accurate or produce excess returns. This thesis tests the investment value of the local advantage regarding Finnish stocks via target price data. The empirical section investigates the local advantage from several aspects. It is discovered that local analysts were more focused on certain sectors generally located close to consumer markets. Market reactions to target price revisions were generally insignificant with the exception to local positive target prices. Both local and foreign target prices were overly optimistic and exhibited signs of herding. Neither group could be identified as a leader or follower of new information. Additionally, foreign price change expectations were more in line with the quantitative models and ideas such as beta or return mean reversion. The locals were more accurate than foreign analysts in 5 out of 9 sectors and vice versa in one. These sectors were somewhat in line with coverage decisions and buttressed the idea of local advantage stemming from proximity to markets, not to headquarters. The accuracy advantage was dependent on sample years and on the measure used. Local analysts ranked magnitudes of price changes more accurately in optimistic and foreign analysts in pessimistic target prices. Directional accuracy of both groups was under 50% and target prices held no linear predictive power. Investment value of target prices were tested by forming mean-variance efficient portfolios. Parallel to differing accuracies in the levels of expectations foreign portfolio performed better when short sales were allowed and local better when disallowed. Both local and non-local portfolios performed worse than a passive index fund, albeit not statistically significantly. This was in line with previously reported low overall accuracy and different accuracy profiles. Refraining from estimating individual stock returns altogether produced statistically significantly higher Sharpe ratios compared to local or foreign portfolios. The proposed method of testing the investment value of target prices of different groups suffered from some inconsistencies. Nevertheless, these results are of interest to investors seeking the advice of security analysts.

SME internationalisation from an emerging market to a developed market : a case study from Ghana

This study focuses on understanding the internationalisation of small and medium-sized enterprises (SMEs) from an emerging market to a developed market. In particular, it examines the internationalisation process of a firm in the clothing and textile manufacturing industry in Ghana. Theoretically, the study is limited to the network internationalisation approach (e.g. Johanson & Mattsson, 1988; Johanson & Vahlne, 2009) and the industrial network approach (Håkansson & Snehota, 1995). Methodologically, a qualitative abductive case study approach is employed. The research process relies on a longitudinal method involving primary and secondary data and critical event analysis. Primary data has been collected from relevant informants at two different times in the internationalisation process. The research findings highlight the significance of both domestic and foreign business relationships in the internationalisation of an SME from an emerging African market to a developed country market. They show the greater importance of exogenous critical events than has been found in the research regarding firms in developed countries. Institutional actors were essential in the network and as sources of exogenous critical events. In addition, the successful SME should possess unique resources in the form of an entrepreneurial spirit, sufficient knowledge of internationalisation, and specific product knowledge. Theoretically, the present study contributes to business network research through providing an understanding of the process of developing network relationships and their impact in an African context. By focusing on SMEs, a contribution has been made in relation to the advancement of SME research. This research reveals empirical insight into SME internationalisation in a setting where an SME is internationalising to a developed country market from a newly emerging African market. Methodologically, the study provides an example of longitudinal research based on abductive methodology. The results provide implications for firms, managers, and policy-makers within the industry, especially on how to manage and use network relationships to promote SME internationalisation from newly emerging markets.

Entry mode choice of Finnish startups entering Chinese market in tablet industry

Since the implement of opening policy, the overall economy of China has maintained rapid and stable development, which has now makes China become the world's second largest economy. China, it is to become the largest overseas market for many large global enterprises from various industries, this naturally also includes the Tablet PC industry that raised in recent years. The purpose of this thesis is to analyze different internal and external factors that influence the entry mode choices of Finnish SMEs in tablet industry entering Chinese market. The goal is to find out the suitable entry modes for the Finnish tablet or other relevant SMEs entering Chinese market. Qualitative analysis is the main research method in empirical part of this study. The interviews were carried out with the case company and other two Finnish business organizations in China. The result of the study indicated that the internal resource and external business environment affect the entry modes choices much more than other factors for SMES. The exporting mode and sales subsidiary could be a better choice for SMEs entering Chinese market. Furthermore, firms should fully learn the Chinese market combine with its own background before making decisions.

Computational Market Dynamics of Virtual Economies

The last two decades have provided a vast opportunity to live and explore the compulsive imaginary world or virtual world through massively multiplayer online role-playing games (MMORPGs). MMORPG gives a wide range of opportunities to its users to participate with multi-players on the same platform, to communicate and to do real time actions. There is a virtual economy in these games which is largely player-driven. In-game currency provides its users to build up their Avatars, to buy or sell the necessary goods to play, survive in the games and so on. As a part of virtual economies generated through EVE Online, this thesis mainly focuses on how the prices of the minerals in EVE Online behave by applying the Jabłonska- Capasso-Morale (JCM) mathematical simulation model. It is to verify up to what degree the model can reproduce the virtual economy behavior. The model is applied to buy and sell prices of two minerals namely, isogen and morphite. The simulation results demonstrate that JCM model ts reasonably well to the mineral prices, which lets us conclude that virtual economies behave similarly to the real ones.