758 resultados para systematic risk


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Construction projects are risky. A build-operate-transfer (BOT) project is recognised as one of the most risky project schemes. This scheme has been employed rather frequently in the past few decades, in both developed and developing countries. However, because of its risky nature, there have been failures as well as successes. Risk analysis in an appropriate way is desirable in implementing BOT projects. There are various tools and techniques applicable to risk analysis. The application of these risk analysis tools and techniques (RATTs) to BOT projects depends on an understanding of the contents and contexts of BOT projects, together with a thorough understanding of RATTs. This paper studies key points in their applications through reviews of relevant literatures and discusses the application of RATTs to BOT projects. The application to BOT projects is considered from the viewpoints of the major project participants, i.e. government, lenders and project companies. Discussion is also made with regard to political risks, which are very important in BOT projects. A flow chart has been introduced to select an appropriate tool for risk management in BOT projects. This study contributes to the establishment of a framework for systematic risk management in BOT projects.

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For some time there has been a puzzle surrounding the seasonal behaviour of stock returns. This paper demonstrates that there is an asymmetric relationship between systematic risk and return across the different months of the year for both large and small firms. In the case of both large and small firms systematic risk appears to be priced in only two months of the year, January and April. During the other months no persistent relationship between systematic risk and return appears to exist. The paper also shows that when systematic risk is priced, the size of the systematic risk premium is higher for large firms than for small firms and varies significantly across the months of the year.

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For some time there has been a puzzle surrounding the seasonal behaviour of stock returns. This paper demonstrates that there is an asymmetric relationship between risk and return across the different months of the year. The paper finds that systematic risk is only priced during the months of January, April and July. Variance risk and firm size are priced during several months of the year including January. An analysis of the relative behaviour of size based securities reveals that firm capitalization makes a valuable contribution to the magnitude of risk premiums.

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Doutoramento em Gestão

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Fishers are faced with multiple risks, including unpredictability of future catch rates, prices and costs. While the latter are largely beyond the control of fisheries managers, effective fisheries management should reduce uncertainty about future catches. Different management instruments are likely to have different impacts on the risk perception of fishers, and this should manifest itself in their implicit discount rate. Assuming licence and quota values represent the net present value of the flow of expected future profits, then a proxy for the implicit discount rate of vessels in a fishery can be derived by the ratio of the average level of profits to the average licence/quota value. From this, an indication of the risk perception can be derived, assuming higher discount rates reflect higher levels of systematic risk. In this paper, we apply the capital asset pricing model (CAPM) to determine the risk premium implicit in the discount rates for a range of Australian fisheries, and compare this with the set of management instruments in place. We test the assumption that rights based management instruments lower perceptions of risk in fisheries. We find little evidence to support this assumption. although the analysis was based on only limited data.

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We investigate the performance of globally diversified emerging market equity funds during the first decade of the twenty-first century. A vast majority of these funds do not outperform the market benchmark even before transaction costs. The systematic risk of most of the funds is similar to that of the market benchmark portfolio, which may suggest that they aim to offer diversification benefits rather than seeking superior risk-adjusted returns through active management. We do not find any evidence of market timing ability amongst these funds. Finally, whilst we detect persistence in performance, this result is driven mainly by the poorly performing funds.

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Perhaps the most fundamental prediction of financial theory is that the expected returns on financial assets are determined by the amount of risk contained in their payoffs. Assets with a riskier payoff pattern should provide higher expected returns than assets that are otherwise similar but provide payoffs that contain less risk. Financial theory also predicts that not all types of risks should be compensated with higher expected returns. It is well-known that the asset-specific risk can be diversified away, whereas the systematic component of risk that affects all assets remains even in large portfolios. Thus, the asset-specific risk that the investor can easily get rid of by diversification should not lead to higher expected returns, and only the shared movement of individual asset returns – the sensitivity of these assets to a set of systematic risk factors – should matter for asset pricing. It is within this framework that this thesis is situated. The first essay proposes a new systematic risk factor, hypothesized to be correlated with changes in investor risk aversion, which manages to explain a large fraction of the return variation in the cross-section of stock returns. The second and third essays investigate the pricing of asset-specific risk, uncorrelated with commonly used risk factors, in the cross-section of stock returns. The three essays mentioned above use stock market data from the U.S. The fourth essay presents a new total return stock market index for the Finnish stock market beginning from the opening of the Helsinki Stock Exchange in 1912 and ending in 1969 when other total return indices become available. Because a total return stock market index for the period prior to 1970 has not been available before, academics and stock market participants have not known the historical return that stock market investors in Finland could have achieved on their investments. The new stock market index presented in essay 4 makes it possible, for the first time, to calculate the historical average return on the Finnish stock market and to conduct further studies that require long time-series of data.

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This paper addresses several questions in the compensation literature by examining stock option compensation practices of Finnish firms. First, the results indicate that principal-agent theory succeeds quite well in predicting the use of stock options. Proxies for monitoring costs, growth opportunities, ownership structure, and risk are found to determine the use of incentives consistent with theory. Furthermore, the paper examines whether determinants of stock options targeted to top management differ from determinants of broad-based stock option plans. Some evidence is found that factors driving these two types of incentives differ. Second, the results reveal that systematic risk significantly increases the likelihood that firms adopt stock option plans, whereas total firm risk and unsystematic risk do not seem to affect this decision. Third, the results show that growth opportunities are related to time-dimensional contracting frequency, consistent with the argument that incentive levels deviate more rapidly from optimum in firms with high growth opportunities. Finally, the results suggest that vesting schedules are decreasing in financial leverage, and that contract maturity is decreasing in firm focus. In addition, both vesting schedules and contract maturity tend to be longer in firms involving state ownership.

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This paper studies the effects of monetary policy on mutual fund risk taking using a sample of Portuguese fixed-income mutual funds in the 2000-2012 period. Firstly I estimate time-varying measures of risk exposure (betas) for the individual funds, for the benchmark portfolio, as well as for a representative equally-weighted portfolio, through 24-month rolling regressions of a two-factor model with two systematic risk factors: interest rate risk (TERM) and default risk (DEF). Next, in the second phase, using the estimated betas, I try to understand what portion of the risk exposure is in excess of the benchmark (active risk) and how it relates to monetary policy proxies (one-month rate, Taylor residual, real rate and first principal component of a cross-section of government yields and rates). Using this methodology, I provide empirical evidence that Portuguese fixed-income mutual funds respond to accommodative monetary policy by significantly increasing exposure, in excess of their benchmarks, to default risk rate and slightly to interest risk rate as well. I also find that the increase in funds’ risk exposure to gain a boost in return (search-for-yield) is more pronounced following the 2007-2009 global financial crisis, indicating that the current historic low interest rates may incentivize excessive risk taking. My results suggest that monetary policy affects the risk appetite of non-bank financial intermediaries.

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For some years, researchers could not find a clear effect of capital adequacy on the risk profile of banks, as shareholders could increase the riskiness of the assets (qualitative effect), crowding-out the effect of reduced leverage (volume effect). Some shareholders might have the will to increase the riskiness of the assets, but they may lack the power to do so. Considering only ”powerful” shareholders, definitive conclusions were drawn but with constant ownership profile. In this paper I investigate whether there is a significant change in the type of shareholders in response to regulatory capital shocks and, if so, will the banking system be in the hands of more “desired” shareholders. I find that ownership profile responds to a regulatory shock, changing the risk appetite of the ruling power at the bank. I find more banks and the government in the ownership of undercapitalised banks and much less institutional shareholders and free float. I claim that these new shareholders may not the desired ones, given the objective of the regulatory change, as they are associated with a preference for more leverage. One possible explanation for this crowding-out effect is that regulators are trying to contain idiosyncratic risk (more linked to the riskiness of the assets) with a rule that contains systematic risk (capital adequacy). This has a distorting effect on ownership. Another insight can be drawn from the tests: supervisors should be aware of significant ownership movements that cause the crowding-out.

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Im Zuge der Novellierung der Gasnetzzugangsverordnung sowie des Erneuerbare-Energien-Gesetzes entwickelte sich die Einspeisung von Biomethan in das Erdgasnetz als alternative Investitionsmöglichkeit der Erneuerbare-Energien-Branche. Als problematisch erweist sich dabei die Identifikation und Strukturierung einzelner Risikofaktoren zu einem Risikobereich, sowie die anschließende Quantifizierung dieser Risikofaktoren innerhalb eines Risikoportfolios. Darüber hinaus besteht die Schwierigkeit, diese Risikofaktoren in einem cashflowbasierten und den Ansprüchen der Investoren gewachsenem Risikomodell abzubilden. Zusätzlich müssen dabei Wechselwirkungen zwischen einzelnen Risikofaktoren berücksichtigt werden. Aus diesem Grund verfolgt die Dissertation das Ziel, die Risikosituation eines Biomethanprojektes anhand aggregierter und isolierter Risikosimulationen zu analysieren. Im Rahmen einer Diskussion werden Strategien und Instrumente zur Risikosteuerung angesprochen sowie die Implementierungsfähigkeit des Risikomodells in das Risikomanagementsystem von Investoren. Die Risikomaße zur Beschreibung der Risikoauswirkung betrachten die Shortfälle einer Verteilung. Dabei beziehen sich diese auf die geplanten Ausschüttungen sowie interne Verzinsungsansprüche der Investoren und die von Kreditinstituten geforderte minimale Schuldendienstdeckungsrate. Im Hinblick auf die Risikotragfähigkeit werden liquiditätsorientierte Kennzahlen hinzugezogen. Investoren interessieren sich vor dem Hintergrund einer gezielten Risikosteuerung hauptsächlich für den gefahrvollsten Risikobereich und innerhalb dessen für den Risikofaktor, der die größten Risikoauswirkungen hervorruft. Zudem spielt der Zeitpunkt maximaler Risikoauswirkung eine große Rolle. Als Kernaussage dieser Arbeit wird festgestellt, dass in den meisten Fällen die Aussagefähigkeit aggregierter Risikosimulationen durch Überlagerungseffekte negativ beeinträchtigt wird. Erst durch isoliert durchgeführte Risikoanalysen können diese Effekte eliminiert werden. Besonders auffällig gestalten sich dabei die Ergebnisse der isoliert durchgeführten Risikoanalyse des Risikobereichs »Politik«. So verursacht dieser im Vergleich zu den übrigen Risikobereichen, wie »Infrastruktur«, »Rohstoffe«, »Absatzmarkt« und »Finanzmarkt«, die geringsten Wahrscheinlichkeiten avisierte Planwerte der Investoren zu unterschreiten. Kommt es jedoch zu einer solchen Planwert-Unterschreitung, nehmen die damit verbundenen Risikoauswirkungen eine überraschende Position im Risikoranking der Investoren ein. Hinsichtlich der Aussagefähigkeit des Risikomodells wird deutlich, dass spezifische Risikosichtweisen der Investoren ausschlaggebend dafür sind, welche Strategien und Instrumente zur Risikosenkung umgesetzt werden. Darüber hinaus wird festgestellt, dass die Grenzen des Risikomodells in der Validität der Expertenmeinungen und dem Auffinden einer Optimallösung zu suchen sind.

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La valoración de una empresa como sistema dinámico es bastante compleja, los diferentes modelos o métodos de valoración son una aproximación teórica y por consiguiente simplificadora de la realidad. Dichos modelos, se aproximan mediante supuestos o premisas estadísticas que nos permiten hacer dicha simplificación, ejemplos de estos, son el comportamiento del inversionista o la eficiencia del mercado. Bajo el marco de un mercado emergente, este proceso presenta de indistinta forma retos paracualquier método de valoración, dado a que el mercado no obedece a los paradigmas tradicionales. Lo anterior hace referencia a que la valoración es aún más compleja, dado que los inversionistas se enfrentan a mayores riesgos y obstáculos. Así mismo, a medida que las economías se globalizan y el capital es más móvil, la valoración tomaráaún más importancia en el contexto citado. Este trabajo de gradopretende recopilar y analizar los diferentes métodos de valoración, además de identificar y aplicar aquellos que se reconocen como “buenas prácticas”. Este proceso se llevó a cabo para una de las empresas más importantes de Colombia, donde fundamentalmente se consideró el contexto de mercado emergente y específicamente el sector petrolero, como criterios para la aplicación del tradicional DCF y el práctico R&V.

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El WACC o Coste Medio Ponderado de Capital es la tasa a la que se deben descontar los flujos para evaluar un proyecto o empresa. Para calcular esta tasa es necesario determinar el costo de la deuda y el costo de los recursos propios de la compañía; el costo de la deuda es la tasa actual del mercado que la empresa está pagando por su deuda, sin embargo el costo de los recursos propios podría ser difícil y más complejo de estimar ya que no existe un costo explícito. En este trabajo se presenta un panorama de las teorías propuestas a lo largo de la historia para calcular el costo de los recursos propios. Como caso particular, se estimará el costo de los recursos propios sin apalancamiento financiero de seis empresas francesas que no cotizan en bolsa y pertenecientes al sector de Servicios a la Persona (SAP). Para lograr lo anterior, se utilizará el Proceso de Análisis Jerárquico (AHP) y el Modelo de Valoración del Precio de los Activos Financieros (CAPM) con base en lo presentado por Martha Pachón (2013) en “Modelo alternativo para calcular el costo de los recursos propios”.

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While style analysis has been studied extensively in equity markets, applications of this valuable tool for measuring and benchmarking performance and risk in a real estate context are still relatively new. Most previous real estate studies on this topic have identified three investment categories (rather than styles): sectors, administrative regions and economic regions. However, the low explanatory power reveals the need to extend this analysis to other investment styles. We identify four main real estate investment styles and apply a multivariate model to randomly generated portfolios to test the significance of each style in explaining portfolio returns. Results show that significant alpha performance is significantly reduced when we account for the new investment styles, with small vs. big properties being the dominant one. Secondly, we find that the probability of obtaining alpha performance is dependent upon the actual exposure of funds to style factors. Finally we obtain that both alpha and systematic risk levels are linked to the actual characteristics of portfolios. Our overall results suggest that it would be beneficial for real estate fund managers to use these style factors to set benchmarks and to analyze portfolio returns.

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This paper investigates the degree of return volatility persistence and the time-varying behaviour of systematic risk (beta) for 31 market segments in the UK real estate market. The findings suggest that different property types exhibit differences in volatility persistence and time variability. There is also evidence that the volatility persistence of each market segment and its systematic risk are significantly positively related. Thus, the systematic risks of different property types tend to move in different directions during periods of increased market volatility. Finally, the market segments with systematic risks less than one tend to show negative time variability, while market segments with systematic risk greater than one generally show positive time variability, indicating a positive relationship between the volatility of the market and the systematic risk of individual market segments. Consequently safer and riskier market segments are affected differently by increases in market volatility.