This thesis investigates the complex dynamics of foreign exchange (FX) risk affecting Swedish multinational corporations and their financial performance, with a focus on the impact of company size and periods of economic crisis. Amidst global economic interdependencies, these entities encounter substantial FX risks, primarily due to the volatility of the Swedish Krona (SEK) against major currencies. Utilizing a comprehensive dataset spanning from 2004 to 2023, this study employs an empirical approach grounded in the International Capital Asset Pricing Model (ICAPM) and Purchasing Power Parity (PPP) to analyze the correlation between currency fluctuations and stock valuations. The analysis reveals that both company size and economic crises significantly modulate the effects of FX risks, with larger companies often better positioned to manage these risks through sophisticated hedging strategies. Smaller firms, conversely, show greater sensitivity to economic disruptions, particularly during crises which heighten the volatility of FX impacts. The findings indicate that FX risks significantly influence the financial outcomes of these firms, with both direct impacts on stock returns and indirect effects through operational strategies. The thesis underscores the importance of robust risk management strategies and the potential for policy adjustments to mitigate adverse effects from currency volatility. The insights derived from this research aims to contribute to a deeper understanding of the financial economics of foreign exchange, providing implications for investors and multinational corporations operating in global markets.

Submitted by Maicon Juliano Schmidt (maicons) on 2015-07-07T19:08:32Z No. of bitstreams: 1 Camila Saúde da Silva.pdf: 1143896 bytes, checksum: 7d9be6a1a6912457222c5c679e26f19b (MD5) / Made available in DSpace on 2015-07-07T19:08:32Z (GMT). No. of bitstreams: 1 Camila Saúde da Silva.pdf: 1143896 bytes, checksum: 7d9be6a1a6912457222c5c679e26f19b (MD5) Previous issue date: 2013-03-14 / ApexBrasil - Agência Brasileira de Promoção de Exportações e Investimentos / Esta dissertação objetiva analisar comparativamente a evolução dos fluxos de investimento externo direto na economia mundial e brasileira no período entre 1994 e 2011. A metodologia é baseada na estatística descritiva utilizando a correlação de Pearson e dados secundários relacionados com os fluxos de investimento externo direto, estoque, além da origem dos investimentos (países) e discriminação das atividades receptoras de investimento. Examinaram-se inicialmente os fluxos mundiais e constatou-se que os mesmos têm aumentando, atingindo US$ 1,5 trilhões em 2011. Os fluxos também têm se direcionado para os países em desenvolvimento que apresentaram aumento de 12% em 2011 com relação ao ano anterior. Com relação à origem dos investimentos diretos externos, os países que mais investiram no mundo foram por região, Portugal, Estados Unidos, Japão e Nova Zelândia. As atividades da economia que mais receberam investimento externo direto mundial, foram indústria e serviços, com destaque para a indústria química e serviços de utilidade pública. No caso brasileiro, os países que mais investiram foram os Países Baixos, seguido dos EUA e Espanha. Nas atividades econômicas, o Brasil recebeu maiores investimentos no setor de serviços em 2011, com destaque para os serviços financeiros. O impacto na balança comercial e emprego foram positivos, todavia, com taxas de crescimento bem distintas. No caso do investimento brasileiro no exterior, os fluxos se direcionaram em sua maioria para os Países Baixos, e as atividades econômicas mais investidas no mundo pelas multinacionais brasileiras foram petróleo e gás natural e extração de minerais metálicos, metalúrgica e serviços financeiros. Com a análise da correlação entre os fluxos de investimento direto e o PIB, taxa de câmbio, taxa de inflação, taxa de juros e taxa de desemprego, concluiu-se que o produto interno bruto está positivamente relacionado com os fluxos de investimento direto com intensidade alta; a relação com a taxa de câmbio se mostrou positiva em alguns anos e negativa em outros; a taxa de inflação, a taxa de juros e a taxa de desemprego se mostraram negativamente relacionadas com os fluxos, confirmando a teoria. / This dissertation aims to comparatively analyze the evolution of FDI flows in the world economy and Brazil between 1994 and 2011. The methodology is based on descriptive statistics and analysis of secondary data related to flows of foreign direct investment, stock, beyond the origin of investments (countries) and discrimination against recipients of investment activities. Were examined initially global flows and found that they are increasing, reaching $ 1.5 trillion in 2011. The flows have also been directed to developing countries which showed an increase of 12% in 2011 compared with the previous year. Regarding the origin of foreign direct investment, countries that have invested most in the world by region, Portugal, United States, Japan and New Zealand. The activities of the economy that received more foreign direct investment worldwide, were industry and services, with emphasis on the chemical industry and utilities. In Brazil, the countries that invested were the Netherlands, followed by the USA and Spain. In economic activities, the country received more investment in the service sector in 2011, with emphasis on financial services. The impact on the trade balance and employment were positive, however, with very different growth rates. In the case of Brazilian investment abroad, the flow is directed mostly to the Netherlands, and economic activities more invested in the world by Brazilian multinationals were oil and natural gas extraction and metal ore, metallurgical and financial services. With the analysis of the correlation between flows of direct investment and GDP, exchange rate, inflation rate, interest rate and unemployment rate, it was concluded that the gross domestic product is positively related to direct investment flows with high intensity , the relationship with the exchange rate was positive in some years and negative in others, the rate of inflation, the interest rate and the unemployment rate showed negatively related flows, confirming the theory.

Questa tesi presenta nuova evidenza empirica sulla relazione tra allocazione dei fattori di produzione e differenze di produttivita' tra paesi (primo capitolo) e tra imprese (secondo capitolo). Il primo capitolo analizza la questione degli scarsi movimenti di capitale tra paesi ricchi e paesi poveri (Lucas' paradox). Una calibrazione del modello neoclassico applicata a nuovi dati mostra come, una volta tenuto conto delle differenze nello stock di capitale umano e nella remunerazione del fattore capitale, i rendimenti da capitale fisico sono molti simili tra paesi ricchi e paesi poveri. Il secondo capitolo studia la relazione tra l'allocazione dei fattori fra imprese e la produttivita' totale dei fattori (TFP). Applicando il modello di Hsieh e Klenow (2009) a dati di imprese manifatturiere di Cile e Messico negli anni '80, si nota una minore presenza di distorsioni nell'allocazione dei fattori in Cile. Questa piu' efficiente allocazione dei fattori di produzione tra imprese potrebbe aiutare a capire perche' l'economia cilena, diversamente da quella messicana, recupero' velocemente dopo la crisi dei primi anni '80. / This Thesis provides new empirical evidence on the relationship between the allocation of factors of production and differences in productivity across countries (first chapter) and across firms (second chapter). In the first chapter I address the issue of small capital flows between rich and poor countries (the so-called Lucas' paradox) observed in data. Applying a calibration approach to new data I show that, taking into account differences in human capital and in the capital share on output, returns to physical capital in rich and poor countries are fairly close. In the second chapter I investigate the relationship between the allocation of factors across firms within a country and TFP. Applying the model proposed by Hsieh and Klenow (2009) to firm level data of Chile and Mexico during 1980s I find that there are less distortions operating on average in the Chilean manufacturing sector with respect to the Mexican one. I argue that the more efficient allocation of factors across firms could help explain why Chile recovered rapidly while Mexico stagnated after the crisis of the early 1980s.

The author valorizes also his practical experiences of a left-oriented politician and first results from sociological research has set an objective to check two hypotheses: 1) that in the conditions of global capitalism development to save and fully revitalize the social state in his conception of a factor that is not only mitigating urgent social inequalities, but also raise the society and cultivates the human being, 2) that in the process of capitalist crises and the crises of a social state, senior citizens living from their pensions belong to the most threatened social groups. Methodologically the author claims to belong to modern Marxism and critically demarcate himself both from stalinism as well as from the recent official ideology, above all neoliberalism. The author refuses also the attempts to equate Marxism and the policy of KSČM to the ideology of the past governing class of controlling apparatus and comprehend the KSČM as a party disguised as Stalinist, anti human and non-democratic and in agreement with the program of this party that it represent in the Parliament of Czech Republic belongs to the self- managed socialism as a long-term objective of a societal transformation. As far as the method is concerned, in the view of a certain interdisciplinarity of the present publication, the...

The primary objective of this study was to examine the broader impact of institutional quality on enhancing foreign direct investment (FDI) and foreign portfolio investment (FPI) inflows in a sample of twelve emerging market economies for the period 2007 to 2017. We specifically sought to answer questions related to the key drivers of FDI and FPI inflows into emerging markets, with a particular emphasis on the role played by institutional quality factors. We further sought to interrogate the long-run and causal relationships between the key variables of FDI, FPI and institutional quality, in respect of the sample of emerging markets. The study employed the Principal Components Analysis (PCA) to construct a composite index for institutional quality composed of the six Worldwide Governance Indicators. Various other econometric models were applied, including the dynamic panel data generalised method of moments (GMM) model, the panel autoregressive distributed lag (ARDL) model for dynamic heterogeneous panels, and the panel vector error correction model (VECM). The results revealed that FDI in the selected emerging markets was, in the main, attracted by economic growth and institutional quality. Institutional quality, economic rowth and capital account openness were positive determinants of FPI inflows; however, stock market development stood out as the foremost determinant factor. In addition to finding long-run, cointegrating relationships between the key variables, it emerged that there was bi-directional causality between FDI and FPI, as well as between FDI and institutional quality in the long run. Despite the latter findings, the results further suggested that the long-run relationship between the two foreign capital inflows, i.e. FDI and FPI, was more of a substitutability or trade-off nature in our sample of emerging markets. In light of these findings, we recommended that it would be in the best interests of these emerging markets if the responsible policymakers continued to liberalise these economies. Further, it was shown that in order to attract inward international capital flows, financial liberalisation should be coupled with the strengthening of the domestic institutional environment.Strengthening institutions could curtail the persistence of institutional weaknesses and insulate emerging market economies from the adverse effects of volatile capital flows, and in the long-run enhance international capital inflows. / Inhloso enkulu yalolu cwaningo kwaye kuwukuhlola umthelela obanzi kwizinga leziko ekuqiniseni uhlelo lokutshalwa ngqo kwezimali ezweni langaphandle (foreign direct investment; FDI) kanye nemali engena mayelana nokuthengwa kwamagugu (shares, stocks and bonds) angenisa imali ezweni elingaphandle (foreign portfolio investment; FPI) kwizimakethe zamazwe eziyishumi nambili esikhathini esiphakathi kuka 2007 ukufika ku 2017. Empeleni besifuna ukuphendula imibuzo emayelana nezikhwezeleli ezisemqoka eziheha uhlelo lwe-FDI kanye ne-FPI ezimakethe ezifufusayo, ikakhulu kugxilwe kwindima edlalwa yizinto ezihlobene nezinga leziko. Siqhubekela phambili nokuphenya izinhlobo zobudlelwano besikhathi esinde kanye nobudlelwano obuyimbangela phakathi kwamavarebuli asemqoka e-FDI, i-FPI kanye nezinga leziko, mayelana nesampuli yezimakethe ezisafufusayo. Ucwaningo lusebenzise uhlelo lwe-Principal Components Analysis (PCA) ukwakha imvange yezinkomba ukwenzela izinga leziko eliqukethe izinkomba eziyisithupha ezibizwa phecelezi nge-Worldwide Governance Indicators. Amanye amamodeli alinganisa ezomnotho asetshenzisiwe, kuxutshwa phakathi idatha yamaphaneli eguquguqukayo ebizwa nge-dynamic panel data generalised method of moments (GMM) model, uhlelo lwe-panel autoregressive distributed lag (ARDL) model ukwenzela amaphaneli ahlukahlukene futhi aguquguqukayo, kanye nohlelo lwe-panel vector error correction model (VECM). Imiphumela iveze ukuthi i-FDI ezimakethe ezikhethiwe ezisafufusa, esikhathini esiningi, iye yahehwa ukuhluma komnotho kanye nezinga leziko. Izinga leziko, ukuhluma komnotho kanye nokuvuleka kwe-akhawunti yemali bekuyizinto eziyizinkomba ezinhle zokungena kwe-FPI; yize-kunjalo, ukuthuthukiswa kwemakethe yesitoko kuvele kwagqama ngaphezulu njengenkomba ekhombisayo. Ukwengeza phezu kolwazi olutholakele esikhathini esinde, ukuhlangana kobudlelwano obuphakathi kwamavarebuli asemqoka, kuye kwavela ukuthi kwakunezimbangela ezikhomba izindlela ezimbili zokungena kwezimali ezitshalwa ngaphandle, zona yilezi i-FDI kanye nezinga leziko esikhathini esinde. Naphezu kolwazi olutholakele kamuva, imiphumela iqhubeka nokuphakamisa ukuthi ubudlelwano besikhathi eside obuphakathi kwezinhlelo zokutshalwa kwezimali ezivela emazweni angaphandle, lezo zinhlelo yilezi, i-FDI kanye ne-FPI, bezingendlela ikakhulukazi yokushintshana/yokumisela noma yokushintshelana ngokuhweba kwisampuli yethu 5 yezimakethe ezisafufusayo. Mayelana nalolu lwazi olutholakele, sincome ukuthi kuzohambisana nokuthandwa yilezi zimakethe ezisafufusa uma ngabe abenzi bemigomo ababandakanyekayo baqhubeke nokususa izihibe zomnotho kula mazwe asafufusa. Ngaphezu kwalokho, kuye kwavezwa ukuthi ukuze kuhehwe izimali zamazwe angaphandle, uhlelo lokususwa kwezihibe zomnotho lufanele luhambisane nokuqiniswa kwesizinda esiyiziko lasekhaya. Ukuqiniswa kwamaziko kungaqeda isimo esintengayo seziko futhi kungasusa izimakethe zamazwe asafufusayo kwisimo esingagculisi sezimali ezingenayo, kanti esikhathini eside lokhu kungaqinisa ukutshalwa ukungena kwezimali ezivela emzaweni angaphandle / Maikemisetso magolo a thutopatlisiso eno e ne e le go tlhatlhoba ditlamorago ka bophara tsa boleng jwa ditheo mo go tokafatseng keleloteng ya dipeeletso tsa tlhamalalo tsa kwa dinageng tse dingwe (FDI) le dipeeletso tsa dipotefolio tsa kwa dinageng tse dingwe (FPI) mo sampoleng ya diikonomi tse somepedi tsa mebaraka e e tlhagelelang mo pakeng ya 2007 go fitlha 2017. Re ne re totile go araba dipotso tse di malebana le ditsamaisi tsa botlhokwa tsa keleloteng ya FDI le FPI mo mebarakeng e e tlhagelelang, go lebeletswe thata seabe sa dintlha tsa boleng jwa ditheo. Gape re ne re lebeletse go tlhotlhomisa go nna sebaka se se telele le sebako sa dikamano magareng ga dipharologantsho tsa botlhokwa tsa FDI, FPI le boleng jwa ditheo, malebana le sampole ya mebaraka e e tlhagelelang. Thutopatlisiso e dirisitse Tokololo ya Dintlha tsa Botlhokwa (PCA) go aga tshupane ya dikarolo ya boleng jwa ditheo e e nang le Disupi di le thataro tsa Lefatshe lotlhe tsa Bolaodi. Go dirisitswe gape dikao tse dingwe tse di farologaneng tsa ikonometiriki, go akarediwa sekao sa dynamic panel data generalised method of moments (GMM) sa data ya phanele e e farologaneng, sekao sa panel autoregressive distributed lag (ARDL) sa diphanele tse di farologaneng le sekao sa panel vector error correction (VECM). Dipholo di senotse gore FDI mo mebarakeng e e tlhophilweng e e tlhagelelang e ne tota e ngokiwa ke kgolo ya ikonomi le boleng jwa ditheo. Boleng jwa ditheo, kgolo ya ikonomi le go bulega ga akhaonto ya kapitale e nnile diswetsi tse di siameng tsa keleloteng ya FPI; fela tlhabololo ya mebaraka ya setoko e tlhageletse jaaka ntlha e e kwa pele e e swetsang. Go tlaleletsa mo go fitlheleleng botsalano jwa pakatelele le jo bo kopanang jwa dipharologantsho tsa botlhokwa, go tlhageletse gore go na le go sebako sa dintlhapedi magareng ga FDI le FPI gammogo le magareng ga FDI le boleng jwa ditheo mo pakeng e e telele. Le fa go ntse go na le diphitlhelelo tse di kailweng la bofelo, dipholo gape di tshitshinya gore botsalano jwa paka e e telele magareng ga keleloteng ya kapitale ya kwa ntle k.g.r. FDI le FPI ke jwa mofuta wa go emisetsa se sengwe ka se sengwe mo sampoleng ya rona ya mebaraka e e tlhagelelang. Ka ntlha ya diphitlhelelo tseno, re atlenegisa gore go tlaa bo go le mo dikgatlhegelong tsa mebaraka eno e e tlhagelelang gore ba ba rweleng maikarabelo a go dira dipholisi ba ka tswelela go repisa diikonomi tseno. Mo godimo ga moo, go bonagetse gore go ngokela kelelo e e tsenang ya kapitale ya boditšhabatšhaba, go repisiwa ga merero ya ditšhelete go tshwanetse ga tsamaisiwa le maatlafatso ya tikologo ya ditheo tsa 7 selegae. Go maatlafatsa ditheo go ka fedisa go tswelela pele ga makoa a ditheo le go sireletsa diikonomi tsa mebaraka e e tlhagelelang mo ditlamoragong tse di maswe tsa dikelelo tse di maswe tsa kapitale, mme kwa bokhutlong, go tokafadiwe kelelo ya kapitale ya boditšhabatšhaba / Finance, Risk Management and Banking / M. Com. (Financial Management)

The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.

The inability to effectively hedge against unfavourable exchange rate movements, using the current forward exchange rate as the only guideline, is a key inhibiting factor of international trade. Market participants use the current forward exchange rate quoted in the market to make decisions regarding future exchange rate changes. However, the current forward exchange rate is not solely determined by the interaction of demand and supply, but is also a mechanistic estimation, which is based on the current spot exchange rate and the carry cost of the transaction. Results of various studies, including this study, demonstrated that the current forward exchange rate differs substantially from the realized future spot exchange rate. This phenomenon is known as the exchange rate puzzle. This study contributes to the dynamics of modelling exchange rate theories by developing an exchange rate model that has the ability to explain the realized future spot exchange rate and the exchange rate puzzle. The exchange rate model is based only on current (time t) economic fundamentals and includes an alternative approach of incorporating the impact of the interaction of two international financial markets into the model. This study derived a unique exchange rate model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem is based on the generally excepted fallacy that current non–stationary, level time series data cannot be used to model exchange rate theories, because of the incorrect assumption that all the available econometric methods yield statistically insignificant results due to spurious regressions. Empirical evidence conclusively shows that using non–stationary, level time series data of current economic fundamentals can statistically significantly explain the realized future spot exchange rate and, therefore, that the exchange rate puzzle can be solved. This model will give market participants in the foreign exchange market a better indication of expected future exchange rates, which will considerably reduce the dependence on the mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.