Real Estate Investment Trusts is suggested as an attractive addition to mixed-asset portfolio. This study develops several hypothesized portfolio and tests whether REITs can actually increase diversification benefits of investors. We use mean-variance spanning test by Kan and Zhou (2008) to examine whether adding a REITs into portfolio can significantly expand efficient frontier in either global minimum variance portfolio or tangency portfolio. We assume our investors hold portfolio in the four markets, namely Japan, Singapore, Taiwan and US markets for period from March 2005 to February 2008. Three hypotheses are tested under various assumed conditions. The first hypothesis, which is REITs can provide diversification benefit, is confirmed in all these four markets. In addition, we find, for Taiwan domestic investors, holding international REITs in their portfolio rather than only Taiwan¡¦s REITs will provide more diversification benefit. The second hypothesis, which is holding period will affect diversification benefit, is not supported. However, this could be resulted from a test of short period in this study. The final hypothesis, which is different investment portfolio will affect the diversification benefit of RETIs for Taiwan domestic investors, is confirmed. Our results also suggest that expanding of efficient frontier are mainly from global minimum variance portfolio rather than tangency portfolio.

Thesis (Ph. D.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains vii, 117 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 112-117).

WirtschaftsUniversiẗat, Diplomarbeit u.d.T.: Pichler, Marc: Ein @Einblick in asset backed securities--Wien, 2008.

Title from PDF of title page (University of Missouri--Columbia, viewed on Feb 16, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dissertation advisor: Dr. Ronald Ratti. Vita. Includes bibliographical references.

This thesis analyzes the nature of foreign equity trades in relation to their effects on local markets. My goal is to contribute to the understanding of equity flows of foreign investors and their effect on the local markets. The thesis consists of two chapters, both of which employ a novel data set that is consisted of monthly equity flows by foreign investors at Istanbul Stock Exchange of Turkey. The first chapter, Foreign Ownership and World Market Integration, aims to explain the de facto financial market integration with global markets with foreign equity ownership using a novel data set of foreign portfolio flows at the individual stock level. The main result is the positive link between global nancial integration and past portfolio in flows by foreign investors on the cross-section of local stocks. The results have high economic significance: Across individual stocks a 1.4% increase in foreign portfolio inflows corresponds to up to 3.3% greater relative explanatory power of the global factor in explaining local stock returns in the following month. The results are indicative of a causal link: The lead-lag effect between foreign portfolio inflows and financial integration does not exist in the opposite direction. I show that stocks that experience an increase in foreign ownership are not more financially integrated in the past, i.e. the foreign portfolio flows are not a response to increased financial integration. The second chapter is titled as Uninformed Momentum Traders and it studies the relationship between momentum trading and information. I present evidence that supports the hypothesis that momentum trading is linked to a lack of information. I document significant momentum trading by foreign investors in stocks on which they potentially have more informational disadvantages. Small stocks, stocks with high volatility and low liquidity, stocks that are financially less integrated and have greater foreign exchange risk are subject to greater momentum trading. Moreover, stocks on which foreign trades indicate lower future profitability are subject to higher momentum trading. Additionally, I show that momentum trades by foreign investors exert contemporaneous price pressure and have no valuable longer-run information content. The contemporaneous price pressure of 2.30% per month is followed by a significant return reversal in the following two quarters. Finally, there is strong evidence that foreign investors do not possess local market speci c information. Momentum trading by foreign investors is triggered by the past profitability of the momentum factor in the local market. However, the negative pro tability of momentum makes momentum trading a sub-optimal trading strategy.

This thesis analyzes the nature of foreign equity trades in relation to their effects on local markets. My goal is to contribute to the understanding of equity flows of foreign investors and their effect on the local markets. The thesis consists of two chapters, both of which employ a novel data set that is consisted of monthly equity flows by foreign investors at Istanbul Stock Exchange of Turkey. The first chapter, Foreign Ownership and World Market Integration, aims to explain the de facto financial market integration with global markets with foreign equity ownership using a novel data set of foreign portfolio flows at the individual stock level. The main result is the positive link between global nancial integration and past portfolio in flows by foreign investors on the cross-section of local stocks. The results have high economic significance: Across individual stocks a 1.4% increase in foreign portfolio inflows corresponds to up to 3.3% greater relative explanatory power of the global factor in explaining local stock returns in the following month. The results are indicative of a causal link: The lead-lag effect between foreign portfolio inflows and financial integration does not exist in the opposite direction. I show that stocks that experience an increase in foreign ownership are not more financially integrated in the past, i.e. the foreign portfolio flows are not a response to increased financial integration. The second chapter is titled as Uninformed Momentum Traders and it studies the relationship between momentum trading and information. I present evidence that supports the hypothesis that momentum trading is linked to a lack of information. I document significant momentum trading by foreign investors in stocks on which they potentially have more informational disadvantages. Small stocks, stocks with high volatility and low liquidity, stocks that are financially less integrated and have greater foreign exchange risk are subject to greater momentum trading. Moreover, stocks on which foreign trades indicate lower future profitability are subject to higher momentum trading. Additionally, I show that momentum trades by foreign investors exert contemporaneous price pressure and have no valuable longer-run information content. The contemporaneous price pressure of 2.30% per month is followed by a significant return reversal in the following two quarters. Finally, there is strong evidence that foreign investors do not possess local market speci c information. Momentum trading by foreign investors is triggered by the past profitability of the momentum factor in the local market. However, the negative pro tability of momentum makes momentum trading a sub-optimal trading strategy.

There are existing standards and guidelines for the effective management of infrastructure through infrastructure asset management planning (IAM). However, few if any of these standards explicitly address the financial implications associated with the uncertainty that underlies the risk associated with service provision. Without credibly quantifying the potential implications of this network variable uncertainty (i.e. an extreme weather event that affects the performance and costs of many segments within the study network, or the introduction of a new technology that may impact the network cost estimates) infrastructure management systems may actually regularly and significantly over or under estimate the actual financial requirements required to provide services. Therefore, financial projections may actually include a systematic bias. It was hypothesized that a model could be developed that quantifies and communicates the financial implications of network variable uncertainty within the IAM context. A model was developed to demonstrate how network variable uncertainty could be included in financial planning for infrastructure networks. The model was able to: (1) be applied to various types of infrastructure networks, (2) incorporate network variable uncertainty, (3) compare alternatives and scenarios, and (4) support effective communication of results. The outputs of the model were the average network annual worth (AW) and network present worth (PW). These outputs, along with tornado plots, risks curves, level of service dashboards, and existing budget levels, were used to communicate the impacts of the network variable uncertainty on the financial projections. The model was developed using Excel tools linked to DPL software to utilize probabilistic methods. The Life Cycle Cost (LCC) portion of the model was successfully verified against an existing infrastructure costing tool, the Land and Infrastructure Resiliency Assessment (LIRA) tool developed by the Agri-Environmental Services Branch of Agriculture and Agri-Food Canada. The impact of the network variable uncertainty within the variables was also quantified in terms of levels of service provided by the organization. The developed model was first applied to a hypothetical twelve segment road network for illustrative purposes. For the hypothetical road network there were four events, representing network variable uncertainty, that were considered. These decisions or events included the: (1) decision to implement a new technology, (2) event of changing standards, (3) event of increased material costs, and (4) occurrence of an extreme rainfall event. The hypothetical network illustrated that if the defined decisions or events occurred then the expected network AW would increase by 41%. The impacts of decisions or events on the hypothetical network levels of service, stemming from network variable uncertainty, were also considered. The measured levels of service for the hypothetical network included the network financial sustainability indicator (an indicator reflecting the network current budget divided by the network annual worth as a percentage) and the frequency of blading of the roads. The model was next applied to a case study using the Town of Shellbrook sanitary main network. The Town has a large quantity of aging mains which were constructed in the 1960’s and are expected to require renewal in the near term. The network variable uncertainty for the case study resulted from the potential decision to implement a new trenchless technology for the renewal of sanitary mains. The new technology was expected to decrease the renewal costs. However, there was uncertainty as to what percentage of the sanitary mains would be found to be suitable for the new technology. Using the model it was determined that if the decision was made to implement the new technology, there would be an expected reduction of 17% in the network AW. The levels of service that were used for the Shellbrook case study were the network financial sustainability indicator (annual budget / network AW) and the meeting of standards set by regulating bodies. It was determined that the network financial sustainability indicator was sensitive to the decision to implement the trenchless technology, while the meeting of regulating bodies was not. If the decision was made to implement the new technology the network sustainability indicator would be expected to increase from 28% (if the new technology was not implemented) to 34% (if the new technology were implemented). The model was finally applied to a case study looking at the RM of Wilton gravel road network. The network variable uncertainty for this case study resulted from the potential increase in gravel material costs. The network variable uncertainty represented the magnitude of the annual increase in gravel costs. Given the event of increasing gravel costs the expected network AW would increase by 14%. The levels of service indicators used for the RM of Wilton case study were the network financial sustainability indicator and the frequency of blading. It was determined that the network financial sustainability indicator was sensitive to the event (increasing gravel costs), while the frequency of blading was not directly impacted (although it may be indirectly impacted). If the event of increasing gravel costs were to occur then the network financial sustainability indicator would be expected to decrease from 59% (if gravel costs did not increase) to 52% (if gravel costs did increase). This research proved that the hypothesis was correct, and that a model could be developed that quantified and communicated the financial implications and level of service impacts of network variable uncertainty for IAM planning. This research illustrated and quantified that IAM planning without accounting for network variable uncertainty, such as: (1) changing technology, (2) changing standards, (3) increasing material costs, and (4) extreme weather events, managers may introduce a systematic bias into long term planning. Network variable uncertainty can significantly impact the projected expenditures required for the long term provision of services. Infrastructure managers and decision makers need to manage infrastructure in a sustainable way over the long term in the face of uncertainty. It is necessary that decision makers have information regarding the impacts of network variable uncertainty on both LCCs and levels of service to make fully informed decision.

This thesis comprises an introduction and four distinct chapters. Its central theme is the role played by the allocation of asset ownership rights in motivating asset-specific investment, when contracts are incomplete. Chapter 1 considers the debt financing of an entrepreneurial project. To encourage asset-specific investment and loan repayment, debt structure should minimise both (voluntary) strategic default and liquidation following (unavoidable) liquidity default. Liquidation incentives are critical and shown to depend crucially on creditor characteristics. In general, borrowing from multiple creditors with contrasting attributes is found optimal. The benefits of borrowing from a creditor also undertaking project trade are explored. In Chapter 2 the relationship between asset ownership and investment specificity is examined. Asset control encourages efficient, asset-specific investment by owners. However, lock-in fears lead non-owners to choose widely applicable but less effective investment. The interactions between asset ownership, firms' technology choices and workers' investments are considered. In particular, it is found that the costs and benefits of individual integration decisions are sensitive to overall industry structure. The specificity framework is extended in Chapter 3 to model a retailer's product choice. Vertical merger encourages investment in integrated supply and foreclosure of non-integrated manufacturers. An anti-competitive as opposed to an efficiency interpretation depends delicately on the trade-off between the benefits of supplier-specific investment and multi-product retailing. Where retailers compete, it is shown that vertical integration implements effective competition-reducing differentiation strategies. In Chapter 4 vertical integration, through the incentive effects of asset ownership, is shown to amount to a specialisation decision. The attractions of encouraging investment in input as opposed to final good production depend on the effectiveness of investment at each manufacturing stage, and the scale benefits of input sales to generally rivalrous downstream firms. These benefits are sensitive to downstream competitive pressures, yielding a potentially non-monotonic relationship between competition and integration.

This thesis examines risk factors in the UK Stock Market. This objective is achieved by testing the validity of the Capital Asset Pricing Model (CAPM) and the Arbitrage Pricing Theory (APT). The models were tested using data for the period between 1972 to 1993. Test of the CAPM was conducted by examining the relationship between stocks returns and systematic risk as measured by beta. By regressing returns against estimates of beta, the results showed that for the overall period the relationship was negative and the estimated risk premium is smaller than the observed risk premium. The results in sub-periods also failed to validate the model. However, examining the results under up and down-market conditions, showed some support to the usefulness of beta. Beta is a good predictor of average returns under down-market conditions as well as under extreme up-market conditions. Test of the APT entails the detennination on the number of factors, estimating the sensitivities or risks of stocks to these factors and finally the pricing of these risks. This study used the Principal Components Analysis (PCA) for the first two procedures. A two stage PCA was performed specifically for short sub-periods of data. The stability of the factor structure across sub-periods was also examined. For the third procedure, a cross-sectional regression between returns and the sensitivities was performed and the risk premia was estimated. The results showed that the number of factors were consistent across sub-periods. A PCA on any sample of stocks cou1l produce a first factor that is common among stocks, while other factors are more sample specific. The study found at least one significant risk premium in all the sub-periods. The first factor was the most likely to produce a significant risk premium. The sensitivities of the stocks to the factors were found to differ across sub-periods, but the risk premia remain constant. This suggests the factor structure may be stable. This thesis then identifies the economic nature of the factors. The factors were regressed against a selection of macroeconomic variables. The result showed that the first factor is related to stock market return, money supply, US and European exchange rates and dividend yield. The first factor from small size firms and low beta stocks are strongly related than usual to money supply. The second factor is related to default risk, term structure and stock market returns.

Deregulated and competitive power market places utilities under high pressure to assure providing power with a satisfactory level of power continuity. This objective entails a high level of reliability which in turn demands a high financial budget for design, operation, and maintenance. Therefore, the need for utilities to balance these factors has been increasing to become the core of a utility's asset management activities. Maintenance is a key aspect of asset management. The main objective of maintenance is to extend the lifetime of equipment and/or reduce the probability of failure. Maintenance activities play an important role in improving system reliability by keeping the condition of a system's equipment within an acceptable level. Generally speaking, technical requirements and budget constraints are the most influential factors in assigning maintenance activities. The most cost-effective maintenance approach is the approach that can sustain a high level of reliability while maintenance cost is minimized. The transformer has a significant role in the power system due to its remarkable effect on the overall level of reliability in addition to its extensive investments in the power grid. Transformer management is comprised of identifying the appropriate type and frequency to maintain the transformer, and the appropriate time to replace the transformer in a cost-effective manner. The essential objective of this thesis is to introduce a novel framework for transformer management. An approach which links maintenance and replacement decisions is presented in this thesis. This approach proposes a methodical decision-making system to determine the optimal time to replace the transformer. Indeed, the proposed approach essentially investigates the cost-effectiveness of replacing the transformer both before and after the lifetime is extended by maintenance. To properly investigate the effect of maintenance, maintenance activities should first be scheduled effectively. Therefore, this approach introduces a maintenance strategy based on reliability-centered maintenance (RCM) concept and genetic algorithm (GA) to optimally schedule maintenance activities. Two replacement studies are conducted: with and without the effect of maintenance. A comparison between replacement studies is discussed in the proposed approach.