Cross-border M&A’s have been gaining momentum in the past decades. As growth opportunities are becoming scarce, more and more multinational corporations seek their expansion opportunities across the border through M&A’s. Whether these cross-border M&A’s add value has been a heavily debated topic. This research takes a value adding perspective by showing the effect of financial market development and capital dependence on the abnormal returns of acquiring firms from the US. Our results show that the effects of financial development and capital dependence are statistically significant, but their financial significance is small.

The first part of this dissertation examines the impact of financial development on different countries holdings of U.S securities. The difference between the US weight in the global market capitalization and the US weight in developed and developing countries is tested through a panel data analysis. We find that most countries tend to overweight their US debt portfolio which is strongly related to their financial market development. When holdings of US debts and equity are low, financial market development is high; in developing countries, holding less US equity in their portfolio causes country to get better financial development. In developed countries there is no causation effect; a simple negative relation between financial development and countries holding of US securities is observed and countries tend to hold relatively less US securities through years. The second part of this dissertation examines whether economic conditions, affect carve-outs frequency and returns. This paper investigates the effect of expansion and recession, and industry sectors on carve out issued in the US over 1982 to 2009. We find that the number of carve-outs is higher in expansion than recession. However, the cumulative abnormal returns are higher during recession which is explained by the higher adverse selection during this period. Further, we find that the difference of abnormal returns between expansion and recession is significant and we also observe that high-tech or non-high-tech industries that undertake carve-out have positive higher abnormal return during recession. Therefore, within a same industry sector, carve-out abnormal returns are impacted by the economy cycle. However difference of abnormal returns between industry sector, high-tech and non-high-tech industries, is not significant.

Cette thèse est composée en quatre chapitres distincts. Dans le premier chapitre, nous examinons le lien à long terme entre le développement des marchés boursiers, le développement du secteur bancaire et la croissance économique du groupe BRICS en utilisant l’analyse de données de panel. Notre analyse empirique indique que l'indicateur du développement du marché boursier ainsi que l'indicateur du développement du secteur bancaire ont un impact positif et significatif sur la croissance économique. Cependant, l'indicateur de la profondeur du système financier a un effet négatif et significatif sur la croissance. Dans le deuxième chapitre, nous étudions l'impact direct des investissements directs étrangers (IDE) ainsi que l’interaction entre de l’IDE et de la liberté économique sur la croissance économique dans un panel des pays en voie de développement en utilisant l’analyse de données de panel dynamiques et la méthode des moments généralisée (GMM). Nos résultats mettent en évidence de l’effet significatif et positif de la liberté économique sur la croissance économique. En outre, l'impact de l'IDE via le canal de la liberté économique est positif et significatif. Cependant, l'effet de l’IDE sur la croissance économique pourrait varier en termes de développement des pays. Le troisième chapitre étudie l'impact direct de l'IDE et l'effet interactif de l'IDE via les indicateurs de marché financier sur la croissance économique de 20 pays en utilisant l’analyse de données de panel dynamiques et la méthode GMM. Notre analyse empirique indique que l'IDE a un effet significatif et positif sur la croissance économique à travers deux indicateurs du secteur bancaire. De même, les mêmes résultats ont conclu pour l'indicateur de la capitalisation boursière. Cependant, l'effet de l'IDE via l'indicateur de la liquidité du marché boursier est négatif. Dans le quatrième chapitre, nous examinons l'effet de la crise financière à travers les indicateurs du marché boursier sur la croissance économique dans le cas des pays du groupe D8 en utilisant des données de panel dynamiques et la méthode GMM. Les résultats concernant trois modèles employés dans cette étude montrent que la crise financière a un effet négatif et significatif via les indicateurs du marché boursier sur la croissance économique. Par conséquence, la crise financière cause de la réduction de l'impact positif du développement des marchés boursiers sur la croissance économique. Cependant, l'impact direct du développement des marchés boursiers est positif. De même, l’indicateur du secteur bancaire a un effet positif sur la croissance. Aussi, nous montrons que l'impact du secteur bancaire sur la croissance est significativement plus important que l'impact du marché boursier. / This thesis is composed of four separate chapters. In the first chapter, the long-term relationship between stock market development, banking sector development and economic growth in the BRICS group countries has been investigated using panel data analysis. The findings reveal that the proxy of stock market development and also the employed proxy of banking sector development have positive and significant impact on economic growth. However, the channel of financial depth in study countries has a negative and significant effect on growth. In the second chapter, the direct and interactive impact of foreign direct investment and economic freedom on economic growth has been studied in a panel of developing countries using dynamic panel data and generalized method of moments (GMM) approach. The results depict a significant and positive effect of economic freedom on economic growth. Also the impact of FDI through economic freedom channel is positive and significant. However, the effect of FDI on growth may vary in terms of development. The third chapter sought to study the direct impact of FDI and also the interactive effect of FDI through proxies of financial market on economic growth of 20 countries using dynamic panel data and GMM approach. In this regard, the interaction of FDI with four indicators of financial market development has been examined. The results indicate a significant and positive impact of FDI through two proxies of banking sector on economic growth. Similarly, the same results concluded for the indicator of stock market capitalization. However, the effect of FDI through the indicator of stock market liquidity is negative. The fourth chapter aims to examine the effect of global financial crisis through the proxies of stock market on economic growth in case of D8 group countries using dynamic panel data and GMM method. The results concerning three employed models in this study reveal that financial crisis has a significant negative effect through stock market development proxies on economic growth. Accordingly, financial crisis cause to reduction of positive impact of stock market development on economic growth. However, the direct impact of stock market development is positively correlated with economic growth. Likewise, the proxy of banking sector has a positive effect on growth. Also by comparison the effect of stock market development and banking sector development, it can be concluded that impact of banking sector on growth is significantly more than the impact stock market

This study aims to determine the main drivers of financial market development, with a specific interest in the relationship between the stock and bank credit markets, as proxies of financial market development, and the role of institutional quality, in ten African countries for the period of 2009 to 2017. A number of econometric techniques such as the General Methods of Moments (GMM) model for dynamic panel data, autoregressive distribution lag (ARDL) bound testing approach to cointegration, vector error correction model (VECM), and granger causality tests were applied in the study. We further developed a composite index for both financial market development and institutional quality using Principal Components Analysis (PCA). The results demonstrate that institutional quality, as well as infrastructure development, economic growth, and inflation are the main determinants of financial market development in our sample of ten African countries. Findings from the ARDL bound testing approach confirm the existence of a long-run association between institutional quality and financial market development. Although financial market development has no effect on economic growth, institutional quality was found to have a positive and highly significant effect on economic growth. Furthermore, employing the Granger causality test, we found uni-directional granger causality between financial market development and institutional quality, implying that financial market development is a significant causal factor for institutional quality. In consideration of these findings, policy formulation by governments should be designed towards enhancing financial and institutional quality development, and this can be possibly achieved by effective enforcement of law to encourage compliance, while simultaneously eliminating corruption and other institutional hindrances to development / Lolu cwaningo luhlose ukuveza izinhlaka ezingabaphembeleli abasemqoka ekuthuthukisweni kwezimakethe zezimali, kugxilwe kakhulu kubudlelwano obuphakathi kwesitoko kanye nezimakethe zamabhangi ahlinzekana ngezikweletu, njengabancedisi abathuthukisa izimakethe zezimali, kanye nendima emayelana nezinga leziko, emazweni ase-Afrika ayishumi esikhathini esiphakathi kuka 2009 ukufikela ku 2017. Inani lezindlela zokulinganisa izinga lomnotho ezinjenge-General Methods of Moments (GMM) model yedatha yephaneli eguquguqukayo, i-autoregressive distribution lag (ARDL) bound testing approach to cointegration, i-vector error correction model (VECM), Kanye negranger causality tests zisetshenzisiwe kucwaningo. Siqhubekele phambili nokwakha inkomba ehlangene yazo zombili izinhlaka; ukuthuthukiswa kwezimakethe zezimali Kanye nezinga leziko ngokusebenzisa uhlelo lwe-Principal Components Analysis (PCA). Imiphumela ikhombisile ukuthi izinga leziko, Kanye nokuthuthukiswa kwengqalasizinda, ukuhluma komnotho, Kanye nezinga lamandla email yizinkomba ezisemqoka zokuthuthukiswa kwezimakethe zezimali kusampuli yethu elula yamazwe ase-Afrika ayishumi. Ulwazi olutholakele ku-ARDL bound testing approach luqinisekisa ubukhona kobudlelwano besikhathi eside obuphakathi kwezinga leziko kanye nokuthuthukiswa kwezimakethe zezimali. Yize ukuthuthukiswa kwemakethe yezimali kungenawo umthelela kwezokuhluma komnotho, izinga leziko lona liye latholakala ukuthi linomthelela omuhle nosemqoka kakhulu ekukhuleni komnotho. Ngaphezu kwalokho, uma sisebenzisa uhlelo lweGranger causality test, sifumene i-uni-directional granger causality phakathi kwemakethe yezimali Kanye nezinga leziko, lokhu kuchaza ukuthi ukuthuthukiswa kwezimakethe zezimali kuyimbangela esemqoka yezinga leziko. Uma kubhekwa lolu lwazi olutholakele, imigomo eyakhwa uhulumeni kufanele yakhiwe ngenhloso yokuqinisa ukuthuthukiswa kwezinga lezimali Kanye nezinga leziko, kanti lokhu kungafinyelelwa ngokuqinisa kahle umthetho ukukhuthaza ukulandelwa komthetho, kanti ngakolunye uhlangothi kuncishiswe izinga lenkohlakalo Kanye nezinye izihibhe eziphazamiso ukuthuthukiswa kweziko. / Maikaelelo a thutopatlisiso ke go swetsa ka ditsamaisi tse dikgolo tsa tlhabololo ya mebaraka ya ditšhelete, ka kgatlhego e rileng mo kamanong magareng ga mebaraka ya setoko le ya sekoloto sa dibanka, jaaka kemedi ya tlhabololo ya mebaraka ya ditšhelete, le seabe sa boleng jwa ditheo, mo dinageng di le lesome tsa Aforika mo pakeng ya 2009 go ya go 2017. Go dirisitswe dithekeniki di le mmalwa tsa ikonometiriki di tshwana le sekao sa General Methods of Moments (GMM) sa data ya phanele e anameng, molebo wa tekeletso e kopanyang ya autoregressive distribution lag (ARDL), sekao sa vector error correction (VECM) le diteko tsa sesusumetsi tsa Granger. Gape re tlhamile tshupane ya dikarolo ya tlhabololo ya mmaraka wa ditšhelete le boleng jwa ditheo re dirisa Tokololo ya Dikarolo tse Dikgolo (Principal Components Analysis (PCA)). Dipholo di bontsha gore boleng jwa ditheo, gammogo le tlhabololo ya mafaratlhatlha, kgolo ya ikonomi le infoleišene ke diswetsi tsa tlhabololo ya mebaraka ya ditšhelete mo sampoleng ya rona ya dinaga di le lesome tsa Aforika. Diphitlhelelo go tswa mo molebong wa teko e kopanyang ya ARDL di tlhomamisa go nna teng ga kamano ya paka e telele magareng ga boleng jwa ditheo le tlhabololo ya mebaraka ya ditšhelete. Le fa tlhabololo ya mebaraka ya ditšhelete e sa ame kgolo ya ikonomi ka gope, boleng jwa ditheo bo fitlhetswe bo na le ditlamorago tse di siameng e bile di le botlhokwa mo kgolong ya ikonomi. Mo godimo ga moo, ka go dirisa teko ya Granger ya sesusumetsi, re fitlhetse go na le sesusumetsi sa ntlha e le nngwe sa Granger magareng ga lhabololo ya mebaraka ya ditšhelete le boleng jwa ditheo, mo go rayang gore tlhabololo ya mebaraka ya ditšhelete ke ntlha e e botlhokwa ya sesusumetsi sa boleng jwa ditheo. Fa go lebelelwa diphitlhelelo tseno, go dirwa ga dipholisi ke dipuso go tshwanetse ga dirwa gore go tokafatse tlhabololo ya boleng jwa ditšhelete le ditheo, mme seno se ka fitlhelelwa ka tiragatso e e bokgoni ya molao go rotloetsa kobamelo mme go ntse go fedisiwa bobodu le dikgoreletsi tse dingwe tsa tlhabololo mo ditheong. / Business Management / M. Com. (Business Management (Finance))