Thesis (Ph. D.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains xi, 170 p. Includes abstract. Includes bibliographical references.

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This diploma thesis deals with a problem of risk management of investment projects in building industry. The first part makes us familiar with basic terms and classification of risks. We continue with the importance and the content of risk management in investment projects. This part includes detailed description of technique of managing risks and describes chosen applied methods in this thesis. In the second part the real investment project´s risk management is designed following the information from the first part. The aim of this real project is building up an administrative building in Ostrava. The important data and the identification of danger was work out for elaborated risk management document. The identified risk was analysed and extended with suggestion of its controlling.

<p> This dissertation consists of two topics. In chapter 1, we develop a discrete disaggregated model in which, the market maker can observe individual order flow instead of a batch order in Kyle (1985). The model suggests that the behavior of the uninformed traders play an important role in how the informed make the optimal trading strategy : when the uninformed is more likely to use large order, the informed will also trade large, no matter what size of signal he receives, and when the uninformed tend to trade with small size order, the informed will have to trade small quantity to maximize his expected profit, even if he receives the large value signal. When the uninformed does not prefer size of order, the informed will trade smaller (larger) quantities when receiving small(large) value signals. The result is consistent with the behavior of the informed in Kyle (1985). We further investigate order flow disaggregation on market liquidity by comparing aggregated order flow structure, in which market maker observes aggregated order flow. When the model setup is symmetric, the aggregated structure can provide more liquidity, while the disaggregated structure is more liquid under the asymmetric model setup. In chapter 2, we employ the type 2 joint power law distribution in Mardia (1962) to study the joint effect of the return and trading volume. The parameter estimate for marginal distribution in joint power-law exhibits the same pattern as in univariate power law literature for return and volume, but the value are smaller due to the joint effect of return and trading volume. However, we find the joint power law shows higher predictability than the univariate power law by employing the measure MSE (Means squared error). Additionally, the type 2 joint power law indicates the linear relationship between log absolute value of return and log trading volume , which suggests the none linear impact of trading volume on price. We also find that, as sampling interval shrinks from day to 15 seconds, the price impact will increase. And also as the waiting time for two consecutive transactions shrinks, the price impact will increase, which is in line with the result of Dufour and Engle (2000). </p>

Risk and return management is one of the core competencies of venture capital companies (VCCs) as they invest in young, innovative firms with a high return potential, but also high risk potential. Due to the liability of smallness, newness and financial constraints young, innovative firms are constantly under the threat of failure. In the scope of this dissertation are four related studies – three empirical studies and one literature review – analyzing the risk and return management of VCCs. In particular, risk assessment and risk management and value adding activities in the post investment phase were examined. In the first article, authors analyze which risks are relevant over the whole venture capital (VC) investment process and show how VCCs assess and documents risks in their deal documents. The second article studies risk management practices of VCCs. We show that the experience and the skills of the corresponding investment manager have a significantly negative impact on the failure risk of a venture. Article three analyzes value creation measures applied by VCCs. The results suggest that VCCs are highly engaged in supporting ventures in financial and human capital issues as well as in establishing strong governance mechanisms. The fourth article also deals with the foregone topic. This paper provides a literature analysis on value adding activity measures in VC investments, synthesizes the variables measuring the main levers of value adding and identifies directions for improvement in terms of data, variables and methods.:1. Introduction 2. The entire research project 3. Risk and return management of venture capital companies in the post-investment phase 3.1 Risk types and risk assessment in venture capital investments: A content analysis of investors´ original documents 3.2 Risk management in the venture capital industry: Managing risk in portfolio companies 3.3. Value adding activities of venture capital companies: A content analysis of investor´s original documents in Germany 3.4 Value adding activities in venture capital literature: A review on data, variables and methods 4. Further research in the venture capital field

Thesis (PhD) -- University of Western Sydney, 2001. / "June 2001" Bibliography: leaves 255 - 265.