Portfolio diversification is a procedure by which investor allocates and divides his or her funds into different type of securities. Unlike the investing all the funds solely into one security, diversification enables to reduce the risk of an investment by splitting one big risk into several small, unrelated risks. This master thesis examines the problem of diversification during a financial crisis, when usually the risk of an investment and uncertainty of future incomes from investment is relatively higher. The main goal of this thesis is to define whether is it more efficient and beneficial to diversify the portfolio solely from national securities or conversely to diversify internationally. In the theoretical part, it offers literature background on topics related to capital market, fundamentals of portfolio and fundamental analysis. In the empirical part it examines the risk and return of three national portfolios on monthly basis during a 10-year investment period, which is separated into three individual periods, in order to better observe the impacts of crisis. In order to fulfill the main goal of the thesis, composite international portfolio was constructed and observed on the same manner as the three national portfolios. Afterwards the outcomes were compared and conclusions were stated. Internationally diversified portfolio has not achieved remarkably better result than individual national portfolios. Therefore, it may be concluded that there is no strong need for an investor to diversify his or her portfolio internationally, as it does not show better results as nationally diversified portfolios.

<p dir="ltr">Agricultural diversification stands out as a critical strategy for addressing challenges and seizing opportunities within the agricultural landscape, especially in regions like the Midwest of the U.S. This research delves into the dynamics, opportunities, challenges, and key success drivers associated with agricultural diversification in the Midwest, focusing on three primary crops: oats, peas, and wheat. Employing a case study methodology grounded in empirical and contextual inquiry principles, the research aims to grasp the nuances of diversified agriculture. Data collection integrates primary and secondary sources, including semi-structured interviews and participation in field days. The data collection period spanned from October 2022 to February 2024. Interviews with 29 stakeholders, including farmers, industry representatives, agricultural cooperatives, and non-profits, provided insights into diversified agriculture practices.</p><p dir="ltr">Each case study provides in-depth insights into the opportunities, challenges, and key drivers of success associated with promoting diversified agriculture initiatives. These case studies underscore the significance of innovation, market access, sustainability, and collaboration in driving success within the industry. The cross-case analysis offers a comprehensive examination of the potential for agricultural diversification in the US Midwest. Through a comparative analysis of the three case studies, commonalities and key themes emerge, shedding light on stakeholder dynamics, business strategies, operational aspects, and scalability factors.</p><p dir="ltr">In summary, this research significantly contributes to the body of knowledge on agricultural diversification, offering insights that can guide future decisions, agricultural practices, and research endeavors aimed at promoting sustainability and resilience in the agricultural sector in the US Midwest.</p>

The paper provides an explanation of the mechanisms underlying trade roots of the contagion effects emanating from the recent turmoils. It is argued that under demand uncertainty risk averse behavior of firms provides a basis for international trade. The paper shows by means of a simple two-country model that risk averse firms operating in perfectly competitive markets with uncertainty of demand tend to diversify markets what gives a basis for international trade in identical commodities even between identical countries. It is shown that such trade may be welfare improving despite efficiency losses due to cross-hauling and transportation costs. The analysis reveals that change of the expectations concerning market conditions caused by the turmoil in the neighbor country (i.e., shift in the perception of market conditions) may lead to macroeconomic destabilization (increase in price level and unemployment, worsening of terms of trade, and deterioration of trade balance). / Series: Discussion Papers of the Institute for Economic Geography and GIScience

In questa tesi, l’analisi verte su risk-adjusted performance, proprietà statistiche e caratteristiche dei fondi hedge (FH). Nel primo articolo, i risultati relativi al survivorship bias e backfill bias indicano che l’impatto delle distorsioni è diverso a seconda delle strategie. Utilizzando il modello multifattoriale di Fung and Hsieh (2004), l’analisi della performance indica che il 42% dei FH ha ottenuto un rendimento superiore al mercato. Infine, utilizzando dei metodi parametrici e non parametrici, l’analisi della persistenza indica differenti livelli di persistenza a seconda della strategia. Nel secondo articolo, vengono analizzati i fondi di fondi hedge (FOHFs). I risultati sono particolarmente interessanti. In primo luogo, i FOHFs e le sotto strategie hanno generato un excess return positivo; inoltre l’alfa ottenuto attraverso il modello a 7 fattori di Fung and Hsieh (2004) risulta elevato. In secondo luogo, i FOHFs e le sotto strategie hanno un rendimento inferiore a quello dell’indice dei FH. In terzo luogo, le correlazioni tra gli indici dei FOHFs e l’indice azionario sono inferiori rispetto alle correlazioni tra l’indice dei FH e gli indici azionari. Infine, l’indice dei FH e quelli dei FOHFs sono positivamente correlati con l’indice azionario quando il mercato tende al ribasso, ma risultano non correlati con l’indice azionario quando il mercato tende al rialzo. Rispetto all’indice dei FH, gli indici dei FOHFs hanno una correlazione minore con gli indici azionari in entrambe le fasi del mercato, suggerendo che i FOHFs forniscono benefici maggiori in termini di diversificazione rispetto ai fondi hedge puri. / In this thesis, I examine the risk-adjusted performance, statistical properties and fund characteristics of hedge fund investments. In Essay One, results of survivorship bias and backfill bias by investment styles indicate that biases are different across styles. Using a multi-factor model of Fung and Hsieh (2004), the analysis of performance indicates that 42% of the hedge funds significantly outperformed the market. Finally, using parametric and non-parametric methods, the analysis of persistence indicates different degree of persistence depending on the hedge fund strategy. In Essay Two, I analyse fund of hedge funds (FOHFs). I find several interesting results. First, FOHFs and the sub-strategies earn positive excess returns and a high Fung and Hsieh 7-factor alpha. Second, FOHFs and the sub-strategies underperform the hedge fund index (HFI). Third, the correlations between FOHF indices and equity index are lower than correlations between HFI and equity indices. Finally, hedge funds and FOHFs are positively correlated with the equity index in the bear markets but uncorrelated with the equity index in the bull markets. Compared to HFI, FOHF indices have lower correlation with equity index in both bull and bear markets, indicating that FOHFs provide better diversification benefits than individual hedge funds.