<p>Takeover is a business activity which really started in the beginning of the eighties and which still takes a strong part in the business and financial area all over the world. According to our studies as the desire for further acknowledgements and the desire of building a career around financial activities, this study has been naturally conducted in the banking area.</p><p>Regarding the steady use of acquisition like a powerful process with some positive and negative sides, we decided to implement a comparison of different mergers and acquisitions in the banking industry in the United States and Europe. This comparison has been supported and based on the third main topic of our study: performance.</p><p>These large and complex subjects combined together lead to the following hypotheses:</p><p>Hypothesis 1: Performance is not improved after takeover in the banking industry.</p><p>Hypothesis 2: The level of post takeover performance is the same in the U.S. as in the European bank acquisitions.</p><p>Based on the historical data and knowledge, the United States was the pioneer in the development of such gathers in the banking sector. Considering the United States as a reference, a first purpose was to compare them with the bank mergers and acquisitions in Europe. Stating on some possible differences as increasing our own knowledge have been some others purposes which have supported our work.</p><p>A first large part of our work was focused, through a large literature review, on the enhancement of our knowledge as the statements of the basis and support for the analysis.</p><p>To illustrate and to try to answer our research question, we have conducted our study based on a sample of 20 acquisitions which were achieved in the banking industry between March 1998 and May 2004. 10 of these acquisitions had been achieved in the United States as the 10 remaining acquisitions had been executed in Europe.</p><p>The analysis has been achieved by collecting data in Thomson Datastream Advance.</p><p>Based on a quantitative method, we applied two financial models: The Market Model (MM) and the Market-Adjusted Returns Model (MAR) supported by the Cumulative Abnormal Returns Method (CARs).</p><p>The post-takeover study has been delimited on a period of 42 months after the public announcement.</p><p>The study and the comparison between the United States and Europe have shown some differences between the two areas. Nevertheless it seems that negative abnormal returns are usually the case after such takeovers on the whole period studied. Some positive abnormal returns have been recorded at different points in the time into the studying period.</p><p>According to the models we applied, the US banks results seem to be better than the ones of European banks: the differences range from 5,58 to 16,65 points under the MM, and from 1,66 to 18,08 points under the MAR model.</p>

Takeover is a business activity which really started in the beginning of the eighties and which still takes a strong part in the business and financial area all over the world. According to our studies as the desire for further acknowledgements and the desire of building a career around financial activities, this study has been naturally conducted in the banking area. Regarding the steady use of acquisition like a powerful process with some positive and negative sides, we decided to implement a comparison of different mergers and acquisitions in the banking industry in the United States and Europe. This comparison has been supported and based on the third main topic of our study: performance. These large and complex subjects combined together lead to the following hypotheses: Hypothesis 1: Performance is not improved after takeover in the banking industry. Hypothesis 2: The level of post takeover performance is the same in the U.S. as in the European bank acquisitions. Based on the historical data and knowledge, the United States was the pioneer in the development of such gathers in the banking sector. Considering the United States as a reference, a first purpose was to compare them with the bank mergers and acquisitions in Europe. Stating on some possible differences as increasing our own knowledge have been some others purposes which have supported our work. A first large part of our work was focused, through a large literature review, on the enhancement of our knowledge as the statements of the basis and support for the analysis. To illustrate and to try to answer our research question, we have conducted our study based on a sample of 20 acquisitions which were achieved in the banking industry between March 1998 and May 2004. 10 of these acquisitions had been achieved in the United States as the 10 remaining acquisitions had been executed in Europe. The analysis has been achieved by collecting data in Thomson Datastream Advance. Based on a quantitative method, we applied two financial models: The Market Model (MM) and the Market-Adjusted Returns Model (MAR) supported by the Cumulative Abnormal Returns Method (CARs). The post-takeover study has been delimited on a period of 42 months after the public announcement. The study and the comparison between the United States and Europe have shown some differences between the two areas. Nevertheless it seems that negative abnormal returns are usually the case after such takeovers on the whole period studied. Some positive abnormal returns have been recorded at different points in the time into the studying period. According to the models we applied, the US banks results seem to be better than the ones of European banks: the differences range from 5,58 to 16,65 points under the MM, and from 1,66 to 18,08 points under the MAR model.

This paper investigates whether greater investor distraction on the Swedish stock market during the summer months of June, July and August leads to a more pronounced post earnings announcement drift (PEAD) effect, during the ten year period between 2000 and 2009. PEAD is an anomaly whereby the information contained in earnings announcements is not immediately or completely incorporated into stock prices, in the cases where the announcement contains an ‘earnings surprise’. The methodology involves using the standardised unexpected earnings (SUE) metric to measure the level of ‘earnings surprise’ and a buy and hold abnormal returns (BHAR) trading strategy to measure return. The study tests and confirms the existence of greater investor distraction during summer months on the Swedish market. For a holding period of 12 months, a BHAR trading strategy generates a greater abnormal return for summer months (11.3%) compared with the abnormal return for non-summer months (10.5%). These results are also interesting in a broader context, as they confirm the existence of the PEAD effect, one of the strongest counter-arguments to the efficient markets hypothesis (EMH); the foundation of many financial models used for stock market valuation. This is because, according to the EMH, in an efficient market it should not be possible to generate abnormal returns based on available information. However, it may be noted that these results do not take into account transaction costs. This means that while it can be demonstrated that there is greater investor distraction during the Swedish summer, in order to implement a successful trading strategy based on this finding, further testing would be required. Therefore, based on the findings of this paper, a number of areas for future research have been identified.

Objective: Our purpose with this study is to demonstrate the impact of natural disasters on banks' share prices. Method: Quantitative survey method, an event study. Conclusion: There is no association or a very weak correlation in this study between natural disasters and the Swedish banks' share prices.

There are plenty of things said about the financial industry, an always ongoing debate, to say the least. We have identified a complex situation with three dimensions: Initial public offerings, Venture capital, and Lockup agreements. IPOs are generally difficult to put a price on because the market is not united yet, which creates uncertainties. Venture capital firms invest into startups, often with the incentive of bringing them to an IPO and then make a fast cash out exit. Lockup agreements are contracts that prevent insiders from dumping their shares during a set period in the beginning of the IPO. Additionally, based on the market efficiency theory, a market should always be efficient. But does it play out when these characteristics are affecting each other? The purpose of this research was to investigate whether there are abnormal returns in the financial performance for publicly listed companies on the London Stock Exchange at the end of their lockup period. We sorted on venture capital backed companies and sought to explore differences between VC backed, Non-VC backed firms, and the entire market. The research question for this study is: ‘Does The theoretical aspects of this research’s ontological and epistemological views were set in positivism and objectivism with a deductive approach. The financial performance was key in this research, and it was essential to get ample and appropriate data, therefore a quantitative research method was used with an archival research strategy and explanatory research design. We explored a big research gap in this area after the financial crisis 2008, which made us look at IPOs from 2009 to 2012 with an event window as our time horizon. To answer the research question and fulfill our purpose, four hypotheses were developed with focus on VC backed firms, Non-VC backed firms, the entire market, and one shorter event window. Our results prove that the market efficiency theory does not hold. To answer the research question, we found negative abnormal returns after the lockup expiration date for both Non- VC backed firms and the entire market. However, we were unable to provide a statistically significant result for VC backed firms. There was an extra clear trend during the middle 20 days, and we suggest and encourage to further research with a longer time horizon than [- 20, +20] days.

abstract: This dissertation is a collection of three essays relating household financial obligations to asset prices. Financial obligations include both debt payments and other financial commitments. In the first essay, I investigate how household financial obligations affect the equity premium. I modify the standard Mehra-Prescott (1985) consumption-based asset pricing model to resolve the equity risk premium puzzle. I focus on two channels: the preference channel and the borrowing constraints channel. Under reasonable parameterizations, my model generates equity risk premiums similar in magnitudes to those observed in U.S. data. Furthermore, I show that relaxing the borrowing constraint shrinks the equity risk premium. In the Second essay, I test the predictability of excess market returns using the household financial obligations ratio. I show that deviations in the household financial obligations ratio from its long-run mean is a better forecaster of future market returns than alternative prediction variables. The results remain significant using either quarterly or annual data and are robust to out-of-sample tests. In the third essay, I investigate whether the risk associated with household financial obligations is an economy-wide risk with the potential to explain fluctuations in the cross-section of stock returns. The multifactor model I propose, is a modification of the capital asset pricing model that includes the financial obligations ratio as a ``conditioning down" variable. The key finding is that there is an aggregate hedging demand for securities that pay off in periods characterized by higher levels of financial obligations ratios. The consistent pricing of financial obligations risk with a negative risk premium suggests that the financial obligations ratio acts as a state variable. / Dissertation/Thesis / Doctoral Dissertation Economics 2017

Bakgrund Returer är en avgörande del inom e-handel och bidrar till ett företags framgång och konkurrenskraft. Däremot fokuserar svenska e-handelsföretag främst på flödet till kund och returhanteringsprocessen är för närvarande en underutnyttjad affärsmöjlighet. Genom en effektiv och välutvecklad returhanteringsprocess kan e-handelsföretag erhålla värde. Dock är synen på returer ofta kopplade till höga kostnader, vilket bidrar till att returhanteringsprocessen förblir underprioriterad. Inom tidigare forskning finns det begränsad litteratur avseende returhanteringsprocessen utifrån ett företagsperspektiv. Syfte Syftet med uppsatsen är således att, med utgångspunkt ur ett företagsperspektiv, undersöka värdeadderande aktiviteter och effektiviseringsmöjligheter inom returhanteringsprocesser främst utifrån tid och kostnad men även miljö. Det genom att studera svenska e-handelsföretags returhanteringsprocesser inom detaljhandeln. Metod Uppsatsen har ett kvalitativt forskningsangrepp där tio semistrukturerade intervjuer legat till grund för datainsamlingen. Dessutom har sekundärdata samlats kring e-handelsföretagen och deras returhanteringsprocesser, vilka har kompletterat primärdata. Uppsatsen har ett företagsperspektiv, vilket innebär att respondenterna är representanter från olika svenska e-handelsföretag inom detaljhandeln som besitter kunskap om e-handelsföretagens returhanteringsprocess. Slutsats Slutligen konkluderar uppsatsen att det finns tre olika returhanteringssystem, det vill säga manuellt, digitalt och hybrid. Valet av returhanteringssystem beror på vad e-handelsföretagen anser vara värdeadderande aktiviteter. Det manuella returhanteringssystemet fokuserar på att skapa en enkel returhanteringsprocess för kund, medan det digitala returhanteringssystemet värdesätter effektivitet. Dessutom påverkas beslutet av returhanteringssystem på e-handelsföretagets storlek och returvolym. För att erhålla en effektiv och värdeadderande process bör ett digitalt returhanteringssystem användas. Dessutom visar uppsatsen att samtliga e-handelsföretag i framtiden kommer behöva genomgå en transformering till mer digitala returhanteringssystem för att vara konkurrenskraftiga. / Background Returns are a crucial part of e-commerce and contributes to the company´s success and competitive edge. However, Swedish e-commerce companies mainly focus on the flow towards the customer and returns management is currently an underutilized business opportunity. Through an effective and well-developed returns management process the business can create greater value. Unfortunately, returns management is often overlooked as it perceives to entails higher costs. Additionally, there is a lack of literature regarding returns management from a business perspective. Purpose The purpose of this thesis is to evaluate the value adding activities and opportunities for improved efficiency within the returns management process mainly with regards to time and cost but also sustainability. This will be achieved by gathering data pertaining to specific research questions from e-commerce businesses’ returns management processes within the retail sector. Method This thesis has a qualitative approach where ten semi-structured interviews and secondary data comprise the basis for data collection. This thesis has a business perspective, which means that the respondents are representatives from different Swedish e-commerce businesses within the retail sector that possess knowledge about the e-commerce business’s returns management process. Conclusion In summary, this thesis shows that there are three different returns management systems, namely manual, digital and hybrid systems. The choice of returns management system depends on what the e-commerce business considers to be value adding. The manual returns management system focuses on creating a simple returns management process for the customer, whereas the digital returns management system values efficiency. Furthermore, the choice of returns management system also depends on the size of the e-commerce business and their volume of returns. In order to achieve a value adding and effective process a digital returns management system should be used. Lastly, this thesis indicates that every e-commerce business in the future will need to transform into a digital returns management system in order to remain competitive. This thesis is written in Swedish.

This thesis analyzes the mean variance optimization problem with respect to cardinalityconstraints. The aim of this thesis is to figure out how much of an impact transactionchanges has on the profit and risk of a portfolio. We solve the problem by implementingmixed integer programming (MIP) and solving the problem by using the Gurobi solver.In doing this, we create a mathematical model that enforces the amount of transactionchanges from the initial portfolio. Our results is later showed in an Efficient Frontier,to see how the profit and risk are changing depending on the transaction changes.Overall, this thesis demonstrates that the application of MIP is an effective approachto solve the mean variance optimization problem and can lead to improved investmentoutcomes.

This thesis examines whether mergers and acquisitions (M&amp;A), ranging from 2009 to 2020, are value-generating for acquiring shareholders in the short-term and long-term of companies listed on the Stockholm Stock Exchange. A cohesive and integrated theoretical framework is formed in which six firm-specific and deal-specific variables are hypothesized to have varying impacts on both short- and long-term stock performance for acquiring shareholders. An event study was conducted to measure the short-term stock performance, i.e. cumulative abnormal returns (CAR), and long-term stock performance, i.e. buy-and-hold abnormal returns (BHAR). We find that M&amp;A transactions are, on average, value-generating for acquiring shareholders in both the short term and the long term. Among the significant findings of the variables examined, firm size was negatively related to short-term stock performance but positively related to BHAR. The relative size of the transaction was found to be positively related to CAR. Furthermore, transactions mediated with cash were found to be positively related to BHAR. Lastly, related transactions were found to be positively related to CAR, although not when accounting for robust standard errors.

Master of Science / Department of Agricultural Economics / Kevin C. Dhuyvetter / Structural change within the industry, improved management, and volatility in commodity markets are reasons to evaluate and monitor the dairy industry in the future. The dairy industry has shifted concentration of production between regions over time. The Southern High Plains region, including the states of Colorado, Kansas, Oklahoma, New Mexico, and Texas, has undergone cow inventory growth in the past ten years. Dairies have become more concentrated, management has become more refined, and the commodity markets have become more volatile. Education and tools are readily available to producers with issues on reducing production, animal health, and feed losses. Financial risk is a key area producers have limited knowledge and resources. Mitigating this risk is essential in today‟s marketplace to maximize gains and margins as well as create opportunities for the operation to succeed and be financially sound. There are several resources which approximate returns based on either a point in time reference or complete user input. This study allows users to reflect on 21 years of historical data, 1990-2010, as well as plug in their own data or use default market data to estimate projected returns over the next 12 months. This study also builds a modeling framework that will allow historical dairy returns to be estimated and future returns projected on a regular basis. Over time average herd size has grown to reduce cost per head and producers are more efficient, milk production per cow has increased to over 70 pounds per day. Historically prices have increased over time, but the spread between highs and lows has escalated. This model solidifies that milk price and production are key revenue drivers while feed, replacement costs, and labor are large cost components at 39, 17, and 6 percent, respectively. Additionally, changing market prices can intensify the gain or loss an operation will incur over the short term, the projection model shows 2011 just below breakeven due to strong commodity markets. Dairy operations in the Southern High Plains region have shown positive returns in 108 of 252, 43 percent, months with greatest negative annual returns 2006 and 2009.