800 resultados para comprehensive investment
Resumo:
Includes bibliography
Resumo:
Includes bibliography
A Methodological model to assist the optimization and risk management of mining investment decisions
Resumo:
Identifying, quantifying, and minimizing technical risks associated with investment decisions is a key challenge for mineral industry decision makers and investors. However, risk analysis in most bankable mine feasibility studies are based on the stochastic modelling of project “Net Present Value” (NPV)which, in most cases, fails to provide decision makers with a truly comprehensive analysis of risks associated with technical and management uncertainty and, as a result, are of little use for risk management and project optimization. This paper presents a value-chain risk management approach where project risk is evaluated for each step of the project lifecycle, from exploration to mine closure, and risk management is performed as a part of a stepwise value-added optimization process.
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In February 2013, US President Barrack Obama, European Council President Herman Van Rompuy and President of the European Commission José Manuel Barroso announced the decision to go for an ambitious and comprehensive trade and investment agreement between the US and the EU. To be called the Transatlantic Trade and Investment Partnership (TTIP), this agreement would lead to a new stage in the transatlantic relationship and be a much needed boost to the lacklustre economic recovery so far. Some analysts have even argued that TTIP would be a “game changer” – besides the economic gains, it would serve a bigger strategic purpose of promoting EU-US common objective to set higher standards of trade liberalisation, and thereby level the playing field in China and other key emerging markets. This policy brief examines the reasons behind the current push towards TTIP and the possible contents of such an agreement. It also discusses the possible obstacles to the realisation of TTIP, and at the same time, looks into what a successful conclusion of TTIP would mean for Asia and beyond.
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For more than 20 years, the United States and the European Union have engaged in often-contentious negotiations over access to government procurement. The EU is dissatisfied with the level of procurement that the US has opened under the WTO Government Procurement Agreement and, as a consequence, it does not give the US its most comprehensive coverage. The US has been constrained in responding to the EU’s requests for greater access, especially to state procurement, by both its federal structure of government and by domestic purchasing requirements. At the current time, neither party has proposed a way to break the impasse. This paper reviews the current state of affairs between the US and the EU on government procurement, examining the procurement that they open to one another and the procurement that they withhold. It then proposes a strategy for the two sides to use the TTIP negotiations to move forward. This strategy includes both steps to expand their current commitments in the TTIP, as well as to develop a longer-term approach by making the TTIP a ‘living agreement’. This strategy suggests that the EU and the US could find a way to expand their access to government procurement contracts and at least partially defuse the issue.
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This thesis consists of three empirical and one theoretical studies. While China has received an increasing amount of foreign direct investment (FDI) and become the second largest host country for FDI in recent years, the absence of comprehensive studies on FDI inflows into this country drives this research. In the first study, an econometric model is developed to analyse the economic, political, cultural and geographic determinants of both pledged and realised FDI in China. The results of this study suggest that China's relatively cheaper labour force, high degree of international integration with the outside world (represented by its exports and imports) and bilateral exchange rates are the important economic determinants of both pledged FDI and realised FDI in China. The second study analyses the regional distribution of both pledged and realised FDI within China. The econometric properties of the panel data set are examined using a standardised 't-bar' test. The empirical results indicate that provinces with higher level of international trade, lower wage rates, more R&D manpower, more preferential policies and closer ethnic links with overseas Chinese attract relatively more FDI. The third study constructs a dynamic equilibrium model to study the interactions among FDI, knowledge spillovers and long run economic growth in a developing country. The ideas of endogenous product cycles and trade-related international knowledge spillovers are modified and extended to FDI. The major conclusion is that, in the presence of FDI, economic growth is determined by the stock of human capital, the subjective discount rate and knowledge gap, while unskilled labour can not sustain growth. In the fourth study, the role of FDI in the growth process of the Chinese economy is investigated by using a panel of data for 27 provinces across China between 1986 and 1995. In addition to FDI, domestic R&D expenditure, international trade and human capital are added to the standard convergence regressions to control for different structural characteristics in each province. The empirical results support endogenous innovation growth theory in which regional per capita income can converge given technological diffusion, transfer and imitation.
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We investigate whether inward foreign direct investment (FDI), either at the firm or industry level, has any impact on product innovation by Chinese state-owned enterprises (SOEs). We use a comprehensive firm-level panel data set of some 20,000 SOEs during 1999-2005. Our results show that foreign capital participation at the firm level is associated with higher innovative activity. Inward FDI in the sector, by contrast, has a negative effect on innovative activity in SOEs on average. However, there is a positive effect of sector-level FDI on SOEs that export, invest in human capital, or undertake R&D. © 2008 Elsevier Ltd. All rights reserved.
Resumo:
A recent, comprehensive database is used to investigate the link between inward foreign direct investment (FDI) and innovation activity in China. The results of the analysis suggest that private and collectively owned firms with foreign capital participation and those with good access to domestic bank loans innovate more than other firms do. Among enterprises not owned by the state, inward FDI at the sectoral level is positively associated with domestic innovative activity only among firms that engage in their own research and development or that have good access to domestic finance. At the sector level the effect of inward FDI into technology transfer is distinguished from the effect on domestic credit opportunities. FDI affecting credit is of little significance for state-owned enterprises and is independent of their access to finance. In contrast, better access to credit is an important channel through which FDI affects the innovation of domestic private and collectively owned enterprises.
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The ambitious and comprehensive Transatlantic Trade and Investment Partnership Agreement (TTIP/TAFTA) agreement between the European Union and United States is now being negotiated and may have far-reaching consequences for health services. The agreement extends to government procurement, investment, and further regulatory cooperation. In this article, we focus on the United Kingdom National Health Service and how these negotiations can limit policy space to change policies and to regulate in relation to health services, pharmaceuticals, medical devices, and health industries. The negotiation of TTIP/TAFTA has the potential to "harmonize" more corporate-friendly regulation, resulting in higher costs and loss of policy space, an example of "trade creep" that potentially compromises health equity, public health, and safety concerns across the Atlantic.
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Prior research has established that idiosyncratic volatility of the securities prices exhibits a positive trend. This trend and other factors have made the merits of investment diversification and portfolio construction more compelling. ^ A new optimization technique, a greedy algorithm, is proposed to optimize the weights of assets in a portfolio. The main benefits of using this algorithm are to: (a) increase the efficiency of the portfolio optimization process, (b) implement large-scale optimizations, and (c) improve the resulting optimal weights. In addition, the technique utilizes a novel approach in the construction of a time-varying covariance matrix. This involves the application of a modified integrated dynamic conditional correlation GARCH (IDCC - GARCH) model to account for the dynamics of the conditional covariance matrices that are employed. ^ The stochastic aspects of the expected return of the securities are integrated into the technique through Monte Carlo simulations. Instead of representing the expected returns as deterministic values, they are assigned simulated values based on their historical measures. The time-series of the securities are fitted into a probability distribution that matches the time-series characteristics using the Anderson-Darling goodness-of-fit criterion. Simulated and actual data sets are used to further generalize the results. Employing the S&P500 securities as the base, 2000 simulated data sets are created using Monte Carlo simulation. In addition, the Russell 1000 securities are used to generate 50 sample data sets. ^ The results indicate an increase in risk-return performance. Choosing the Value-at-Risk (VaR) as the criterion and the Crystal Ball portfolio optimizer, a commercial product currently available on the market, as the comparison for benchmarking, the new greedy technique clearly outperforms others using a sample of the S&P500 and the Russell 1000 securities. The resulting improvements in performance are consistent among five securities selection methods (maximum, minimum, random, absolute minimum, and absolute maximum) and three covariance structures (unconditional, orthogonal GARCH, and integrated dynamic conditional GARCH). ^
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Understanding how decisions for international investments are made and how this affects the overall pattern of investments and firm’s performance is of particular importance both in strategy and international business research. This dissertation introduced first home-host country relatedness (HHCR) as the degree to which countries are efficiently combined within the investment portfolios of firms. It theorized and demonstrated that HHCR will vary with the motivation for investments along at least two key dimensions: the nature of foreign investments and the connectedness of potential host countries to the rest of the world. Drawing on cognitive psychology and decision-making research, it developed a theory of strategic decision making proposing that strategic solutions are chosen close to a convenient anchor. Building on research on memory imprinting, it also proposed that managers tend to rely on older knowledge representation. In the context of international investment decisions, managers use their home countries as an anchor and are more likely to choose as a site for foreign investments host countries that are ‘close’ to the home country. These decisions are also likely to rely more strongly on closeness to time invariant country factors of historic and geographic nature rather than time-variant institutions. Empirical tests using comprehensive investments data by all public multinational companies (MNC) worldwide, or over 15,000 MNCs with over half a million subsidiaries, support the claims. Finally, the dissertation introduced the concept of International Coherence (IC) defined as the degree to which an MNE’s network comprises countries that are related. It was hypothesized that maintaining a high level of coherence is important for firm performance and will enhance it. Also, the presence of international coherence mitigates some of the negative effects of unrelated product diversification. Empirical tests using data on foreign investments of over 20,000 public firms, while also developing a home-host country relatedness index for up to 24,300 home-host pairs, provided support for the theory advanced.
Resumo:
Prior research has established that idiosyncratic volatility of the securities prices exhibits a positive trend. This trend and other factors have made the merits of investment diversification and portfolio construction more compelling. A new optimization technique, a greedy algorithm, is proposed to optimize the weights of assets in a portfolio. The main benefits of using this algorithm are to: a) increase the efficiency of the portfolio optimization process, b) implement large-scale optimizations, and c) improve the resulting optimal weights. In addition, the technique utilizes a novel approach in the construction of a time-varying covariance matrix. This involves the application of a modified integrated dynamic conditional correlation GARCH (IDCC - GARCH) model to account for the dynamics of the conditional covariance matrices that are employed. The stochastic aspects of the expected return of the securities are integrated into the technique through Monte Carlo simulations. Instead of representing the expected returns as deterministic values, they are assigned simulated values based on their historical measures. The time-series of the securities are fitted into a probability distribution that matches the time-series characteristics using the Anderson-Darling goodness-of-fit criterion. Simulated and actual data sets are used to further generalize the results. Employing the S&P500 securities as the base, 2000 simulated data sets are created using Monte Carlo simulation. In addition, the Russell 1000 securities are used to generate 50 sample data sets. The results indicate an increase in risk-return performance. Choosing the Value-at-Risk (VaR) as the criterion and the Crystal Ball portfolio optimizer, a commercial product currently available on the market, as the comparison for benchmarking, the new greedy technique clearly outperforms others using a sample of the S&P500 and the Russell 1000 securities. The resulting improvements in performance are consistent among five securities selection methods (maximum, minimum, random, absolute minimum, and absolute maximum) and three covariance structures (unconditional, orthogonal GARCH, and integrated dynamic conditional GARCH).
Resumo:
This dissertation investigates the relationship between investment and environmental obligations from the perspective of international investment law. In order to do so, the dissertation will consider how these obligations might enter into conflicts and what tools are available to investment tribunals to solve these normative conflicts. The dissertation analyses in order interpretative techniques, conflict resolution tools available in general international law, as expressed in the Vienna Convention on the Law of Treaties, and finally express clauses in international investment agreements. The dissertation includes the review of some relevant case law arising from investment agreements in investment treaty tribunals, to discover how in practice these conflict resolution tools are applied and to assess their effectiveness. This dissertation places itself squarely within the debate between the unity and the fragmentation of international law; therefore it tackles the issue of normative conflicts resolution in a dispute settlement environment with the view of gauging their value in maintaining the unity of international law and defuse the risk of fragmentation. The dissertation can only conclude that much work remains to be done, including by providing a more comprehensive taxonomy of possible interventions, both on the legal and political sphere.