The currency carry trade – whereby one simultaneously borrows in a currency with low interest rate and invests in a currency with high interest rate – is estimated to be at least USD 2.0 trillion in emerging markets alone. By some characterised as “picking up nickels in front of a steam roller”, the carry trade is subject to pronounced periods of disadvantageous currency depreciations. Although the carry trade has been profitable historically, these sudden depreciations at least attenuate, if not completely eradicate returns. The search for yield has led contemporary investors to emerging markets where the volatility is higher, thereby increasing risk and prospective return. The purpose of this thesis is to investigate how quantitative risk indicators can be constructed in order to detect market-reversals, mitigate currency depreciations, and ultimately improve the profitability of the emerging market currency carry trade. For this purpose risk has been categorised into two dichotomous risk classes, global and idiosyncratic; the former referring to systematic, non-country specific risk; the latter to residual, country specific risk. Each risk has been modelled separately. By optimising carry trade return conditioned on a number of distinctive risk measures, attributable to the respective risks, it was concluded that a broad weighted global risk indicator provide substantially augmented risk-adjusted return in an emerging market carry trade, while idiosyncratic indicators might require a bespoke framework for each currency at hand. / Valuta carry-handeln (carry trade) – vari en investerare lånar i en valuta med låga räntor och investerar i en valuta med höga räntor – beräknas omfatta åtminstone två biljoner USD enbart i tillväxtmarknader. Karakteriserat av vissa som att ”plocka upp kronor framför en ångvält” [författarnas översättning], är carry-handeln utsatt för tydliga perioder av ogynnsamma valutadeprecieringar. Trots carry-handelns historiska lönsamhet, dämpar, om inte helt raderar, dessa nedgångar avkastningen. Sökandet efter avkastning har fått investerare att alltmer vända sig till tillväxtmarknader, där volatiliteten är högre och därmed risken samt den förväntade avkastningen. Syftet med denna uppsats är att utforska hur kvantitativa riskindikatorer kan konstrueras för att förekomma marknadsvändningar, dämpa effekten av valutadeprecieringar, och slutligen stärka carry-handels lönsamheten i tillväxtmarknader. I detta syfte har risk kategoriserats i två tudelade riskklasser, global och idiosynkratisk; den förra hänsyftar systematisk, icke-landspecifik risk; den senare osystematisk, landspecifik risk. Vardera risken har modellerats separat. Genom att optimera carry-handelns avkastning villkorat under ett antal distinkta riskmått hänförbara till respektive risk, drogs slutsatsen att en bred, viktad, global riskindikator gav carry-handeln i tillväxtmarknader väsentligt förbättrad riskjusterad avkastning, medan idiosynkratiska riskindikatorer kräver speciellt anpassat tillvägagångssätt för vardera valutan.

The global photovoltaic (PV) market is growing, contributing to reduced climate emissions from electricity production. Historically, PV deployment mainly occurred in developed and electrified countries with a high level of certainty over their electrical system. Recently, this trend has started to change, contributing to a more globally distributed PV market. In primarily two of the emerging markets, Africa and the Middle East, the statistical situation is weak or non-existent, making it hard to monitor and track the PV development. PV devices can be grid-connected or off-grid, installed in PV parks or in smaller household applications, which further complicates the monitoring. As a result, the best available statistics on these markets, provided by the International Renewable Energy Agency (IRENA), are to a major part based on estimations not built on any official data.  In a pilot study a instrument prototype, Njord, for converting monetary trade data of PV devices into installed PV capacities was initiated, with the aim to provide more accurate estimates for these markets. Njord is in this study further developed, by increasing its resolution and adjusting assumptions. Further, an additional conversion factor, namely PV module weight, is implemented to improve the accuracy of the predictions. The time frame of Njord is enlarged enabling estimates of accumulated capacities, in contrast to previously only annual installations. The instrument methodology is based on a bottom-up approach of processing import and export customs data, and converting the data to installed capacities using the price and weight of a PV module per wattage. In addition to the further development of Njord, the trade data is used to map and analyse monetary trade flows and thereby market values. Identified improvements concerned, among others, to adjust the percentage of PV modules in the customs code for countries without specific codes, and to fill data gaps with additional mirror data. The weight conversion factor was initially implemented as a parallel instrument to the price based. The two conversion factors were then combined into an instrument choosing the most suitable conversion factor with regards to a number of constraints. The instrument performance was validated against reference countries with well documented PV markets, qualitatively customs data, and small domestic PV manufacturing. For the reference countries and the comparative period of 2016 – 2018, the total deviations were improved from spanning 11.1 % – 17.0 % to 0.5 – 22.6 %. The best performance is seen for the most recent years of 2018 and 2019, with total deviations of 0.5 % and 4.1 % respectively. Njord shows high performance for estimating accumulated capacity, with a deviation of 4.3 % in the end of 2019. When applying Njord to the markets of interest, Africa and the Middle East, the results are significantly higher than the IRENA estimates, with a result of 118 % higher for Africa and 127 % higher for the Middle East. This indicates that the PV deployment in these emerging markets could be underestimated in today's statistical situation.  In combination with the instrument results, mapping trade flows has shown to give comprehensive information about the PV markets of interest and shows the potential of using trade data for this type of analysis. China distinguishes as the dominant trade partner for both Africa and the Middle East, in line with the global PV market. Although these markets are small relative the global PV context, there was in 2019 still a net import of PV modules of in total 879 million US$ for Africa and 728 million US$ for the Middle East, and the markets are growing fast. Further, mapping trade flows has shown to identify manufacturing countries on the markets of interest, which there also is a lack of information on. The trade patterns and its inherent monetary values could be used to for example identify market development and business opportunities.

We calculate the alpha of a survivorship bias-free sample of Swedish-registered actively managed emerging market equity mutual funds (with at least 10 years of return data), using long-short and long-only versions of several asset pricing models: the CAPM, the Fama-French three-factor model, the Carhart four-factor model, the Fama-French five-factor model and a six-factor model that adds the momentum factor to a modified Fama-French five-factor model. We find that our sample of mutual funds has statistically significant negative alpha (on a 5% level) using the CAPM, the Fama-French three-factor model and the long-only Fama-French three-factor model and non-statistically significant negative alpha for all other asset pricing models. It is reasonable to assume that our sample overestimates the performance of the universe of Swedish-registered actively managed emerging market equity mutual funds, so it is reasonable to assume that the universe of Swedish-registered actively managed emerging market equity mutual funds likely has negative alpha. We also find that our sample of mutual funds has statistically significant factor loadings on the market factor (positive load), the SMB factor (negative load) and the CMA factor (negative load). Our asset pricing models explain 97% to 98% of the mutual fund returns. The distributions of alphas and SMB factor loadings are fairly normally distributed, but the other factor loadings are not normally distributed.

Over the past decade, sustainability has emerged as one of the foremost issues faced by corporations across all sectors and Corporate Social Responsibility has gained much momentum in the past two decades. This research investigated whether investors in emerging markets are equally concerned about a firm’s social and environmental impacts as their counterparts in developed economies. The aim was to ascertain whether or not a correlation exists between CSR and stock market performance of South African listed companies. This was the first study undertaken in South Africa that specifically investigated the relative performances of SRI listed and non-SRI listed companies. The findings reveal that there are observable differences between the average market returns of the FTSE/JSE Socially Responsible Investment Index and the FTSE/JSE All Share Index, as well as the average price/earnings ratios and average price/book value ratios of all companies listed the JSE Main Board. Although two out of the three hypotheses failed to yield significant statistical outcomes, all the findings were in favour of the SRI. The research has opened up the avenue for future studies to investigate the purported links between sustainability and financial performance in the context of emerging markets. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

This thesis examines how cultural distance affects cross-border M&A performance of emerging market firms. The study adds to the previous literature by using a multi-measurement approach, a broader sample of emerging countries and by comparing the effects to those of developed market firms. Performance is divided into short-term performance, measured as cumulative abnormal return (CAR) and long-term performance, measured as sales growth and change in Return on Sales after the transaction (sales CAGR and change in ROS). Using a sample of transactions conducted by both emerging market firms and developed market firms during the years 1997-2019, this study finds that cultural distance has a negative effect on the long- term cross-border M&A performance of emerging market firms. However, no significant effect is found on the short-term CAR following a cross-border M&A by emerging market firms. Additionally, none of the included performance measures is affected by cultural distance on a statistically significant level following a cross-border M&A by developed market firms. The results hence indicate that the effect of cultural distance is greater for emerging market firms than developed market firms when engaging in cross-border M&As.

Emerging markets (EMs) contribute significantly year-on-year to global gross domestic product (GDP) and continue to offer developed countries huge opportunities such as raw materials and readily available markets for various goods and services produced in developed economies. However, multinational corporations (MNCs) from developed markets operating in emerging countries continue to develop inappropriate perceptions and assumptions influenced by Western imperialist and arrogant attitudes, which carry a very short-term view on the future of developing countries, despite extracting multibillion-dollar profits from these regions. The objectives of the research study were to establish the relationship between strategic management practices (SMPs) and the financial performance of MNCs in emerging markets, by testing, validating the viability and applicability of the SMPs framework and by evaluating SMPs financial contribution to the bottom-line of MNCs. The research study found that for MNCs with comprehensively adopted and implemented the SMPs framework their financial performance continues to improve year on year, depicting a positive relationship between SMPs and overall financial performance of MNCs with business interests in emerging markets. The study, however, concludes that the MNC executives wrong assumptions about emerging countries results in the crafting of strategies within business models that fail to fit in emerging markets. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

The offshore wind industry has advanced over the years and has attracted investments from oil & gas corporations. Europe is currently the main market for offshore wind development but in the heat of climate issues, there are calls from world bodies like The World Bank to develop this type of technology in other markets since it has been proven to be effective in displacing carbon emissions. This thesis explores the factors that could contribute to attract investments from the oil & gas industry into offshore wind development in emerging markets.  The thesis highlights the contributions oil & gas corporations have made towards the advancement of this technology. Further analysis is made on the weaknesses and strengths in developing this type of technology in selected countries which are categorised as emerging offshore wind markets to understand what is hindering the development of this energy in other markets.  Also, a direct question is posed to selected oil & gas corporations to ascertain what factors could attract them to invest in offshore wind development in these emerging markets. In the results, this thesis projects that oil & gas corporations will invest in these markets based on profitability, the need to affiliate with renewables to protect their businesses and as a safe measure against a decline in their core business of operation. The thesis also makes suggestions on ways emerging markets could attract investments from oil & gas corporations.

As developed markets become more saturated, managers increasingly recognize the value of emerging markets as venues for growth opportunities. Yet, launching products into these markets is extremely risky due to weak institutional environments (e.g., lack of physical infrastructure), making success more uncertain. To alleviate this challenge, theory points to using emerging market footholds that yield market-specific knowledge. However, it is unclear whether knowledge is realized and, if so, what facets of harvested knowledge are effective in driving performance. Accordingly, we used data collected from a survey of business professionals to examine emerging market footholds and market-specific knowledge (i.e., customer, competitor, and logistics knowledge). Our results show that the extent of market presence held by an emerging market foothold is positively associated with all types of knowledge, yet only competitor and logistics knowledge—not customer knowledge—is positively associated with product launch performance. A supplemental sample of new product launches in developed markets revealed the opposite results wherein customer knowledge was the only significant predictor. Viewed collectively, the results suggest a market maturity threshold wherein logistics and competitive knowledge becomes less influential in driving performance, and customer knowledge becomes more influential.

This master’s research investigates how Nordic cleantech firms exploit opportunities in emerging markets. Emerging markets showcase significant opportunities for provision of sustainable cleantech solutions, which can be exploited by cleantech firms to enhance their commercial viability. Opportunity exploitation studies in emerging market contexts have been largely understudied in international entrepreneurship. This qualitative research utilized semi-structured interviews, a multi case study design involving three Nordic cleantech firms, and thematic data analysis to collect detailed information on Nordic cleantech opportunity exploitation activities and stages. Analyzing the findings using a conceptual framework based on the opportunity exploitation theory, we discover that Nordic cleantech firms exploit opportunities in emerging markets in three phases namely, exploitation pre-operationalization phase, exploitation operationalization phase and exploitation post-operationalization phase. Exploitation pre-operationalization stages involve making evaluation of the opportunity, assessing stakeholders, and developing a project management plan for the exploitation operationalization; the exploitation operationalization phase covers the market entry modes, and describes activities and strategies deployed by cleantech firms to commence commercial activities within the market; and the exploitation post-operationalization phase describe steps taken to increase the firms’ knowledge and leverage such experiential knowledge for further opportunity exploitation. The research findings showed a variance from the theoretical opportunity exploitation propositions for new technology intensive firms including cleantech firms. The insights generated from this research have implications for the decision making of managers of Nordic cleantech firms looking to exploit international opportunities within emerging markets and theoretical implications for making further opportunity exploration studies considering the emerging market context.

This paper investigates the relationship between board gender diversity and financial performance. Previous work in this area has focused on providing evidence for a direct link between the two factors, which has resulted in mixed, inconclusive evidence. This study includes corporate social responsibility as a moderating influence on this relationship. The dataset consists of 5,077 firm-year observations with 839 firms present. The study was done with data from six emerging markets as identified by S&P Dow Jones Global Equity Index Series. The results indicate a positive interaction between board gender diversity and a firm’s corporate social responsibility engagement and a strong positive association between corporate social responsibility engagement and financial performance.