961 resultados para Real Option Value
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Tämän tutkielman tarkoituksena on ollut tutkia pankin mahdollisuuksia soveltaa reaalioptioajattelua kriisiyrityksien käyttöpääomaan liittyvissä lisäluototusprosesseissa. Kohdepankin rahoitusasiantuntijoita haastattelemalla ja esimerkkitapauksiin tutustumalla tutkia on tutkittu pk-yritysten lisäluototusprosessia ja reaalioptioteorian soveltuvuutta luottoriskinhallintaan. Tutkimuksessa saatiin selville, että pankin luottoprosessin päätöksentekologiikassa on selkeitä yhteneväisyyksiä reaalioptioajattelun kanssa, mutta tietoisesti pankin asiantuntijat eivät sovella reaalioptioteoriaa toimintaansa. Tutkimuksessa havaittiin myös, että tiedostamattoman reaalioptioajattelun hyödyntämisaktiivisuus lisääntyy pankissa sitä mukaa, kun asiakaskohtainen riski kasvaa. Lisäksi kohdepankin asiantuntijat suhtautuivat luottoprosessissa kriisiyrityksille myönnettyihin lisäluottoihin suojautumisoption kaltaisen ajattelumallin tavoin. Toisin sanoen lisäluotto katsottiin asiakasyrityksen toiminnan jatkumisen mahdollistavana tekijänä, jonka avulla pitkän tähtäimen luottoriskin laskeminen on todennäköistä. Reaalioptioteorian tietoinen hyödyntäminen saattaisi tarjota lisätyökaluja asiakasyrityksien skenaarioiden arviointiin ja tukea sitä kautta luottopäätöksen tekemistä ja riskienhallintaa. Reaalioptiot voisivat tuoda joustavuutta ja lisäarvoa sellaisiin tilanteisiin, joissa asiakasyrityksen osalta ei ole olemassa laajaa historiatietoa tai asiakastuntemusta. Reaalioptioiden mahdollistaman joustavuuden sovittaminen säädösten mukaisiin proseduureihin saattaisi olla merkittävä keino pankin prosessin kehittämiseksi ja sisäisen viestinnän tehostamiseksi.
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This thesis presents an analysis of recently enacted Russian renewable energy policy based on capacity mechanism. Considering its novelty and poor coverage by academic literature, the aim of the thesis is to analyze capacity mechanism influence on investors’ decision-making process. The current research introduces a number of approaches to investment analysis. Firstly, classical financial model was built with Microsoft Excel® and crisp efficiency indicators such as net present value were determined. Secondly, sensitivity analysis was performed to understand different factors influence on project profitability. Thirdly, Datar-Mathews method was applied that by means of Monte Carlo simulation realized with Matlab Simulink®, disclosed all possible outcomes of investment project and enabled real option thinking. Fourthly, previous analysis was duplicated by fuzzy pay-off method with Microsoft Excel®. Finally, decision-making process under capacity mechanism was illustrated with decision tree. Capacity remuneration paid within 15 years is calculated individually for each RE project as variable annuity that guarantees a particular return on investment adjusted on changes in national interest rates. Analysis results indicate that capacity mechanism creates a real option to invest in renewable energy project by ensuring project profitability regardless of market conditions if project-internal factors are managed properly. The latter includes keeping capital expenditures within set limits, production performance higher than 75% of target indicators, and fulfilling localization requirement, implying producing equipment and services within the country. Occurrence of real option shapes decision-making process in the following way. Initially, investor should define appropriate location for a planned power plant where high production performance can be achieved, and lock in this location in case of competition. After, investor should wait until capital cost limit and localization requirement can be met, after that decision to invest can be made without any risk to project profitability. With respect to technology kind, investment into solar PV power plant is more attractive than into wind or small hydro power, since it has higher weighted net present value and lower standard deviation. However, it does not change decision-making strategy that remains the same for each technology type. Fuzzy pay-method proved its ability to disclose the same patterns of information as Monte Carlo simulation. Being effective in investment analysis under uncertainty and easy in use, it can be recommended as sufficient analytical tool to investors and researchers. Apart from described results, this thesis contributes to the academic literature by detailed description of capacity price calculation for renewable energy that was not available in English before. With respect to methodology novelty, such advanced approaches as Datar-Mathews method and fuzzy pay-off method are applied on the top of investment profitability model that incorporates capacity remuneration calculation as well. Comparison of effects of two different RE supporting schemes, namely Russian capacity mechanism and feed-in premium, contributes to policy comparative studies and exhibits useful inferences for researchers and policymakers. Limitations of this research are simplification of assumptions to country-average level that restricts our ability to analyze renewable energy investment region wise and existing limitation of the studying policy to the wholesale power market that leaves retail markets and remote areas without our attention, taking away medium and small investment into renewable energy from the research focus. Elimination of these limitations would allow creating the full picture of Russian renewable energy investment profile.
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The investments have always been considered as an essential backbone and so-called ‘locomotive’ for the competitive economies. However, in various countries, the state has been put under tight budget constraints for the investments in capital intensive projects. In response to this situation, the cooperation between public and private sector has grown based on public-private mechanism. The promotion of favorable arrangement for collaboration between public and private sectors for the provision of policies, services, and infrastructure in Russia can help to address the problems of dry ports development that neither municipalities nor the private sector can solve alone. Especially, the stimulation of public-private collaboration is significant under the exposure to externalities that affect the magnitude of the risks during all phases of project realization. In these circumstances, the risk in the projects also is becoming increasingly a part of joint research and risk management practice, which is viewed as a key approach, aiming to take active actions on existing global and specific factors of uncertainties. Meanwhile, a relatively little progress has been made on the inclusion of the resilience aspects into the planning process of a dry ports construction that would instruct the capacity planner, on how to mitigate the occurrence of disruptions that may lead to million dollars of losses due to the deviation of the future cash flows from the expected financial flows on the project. The current experience shows that the existing methodological base is developed fragmentary within separate steps of supply chain risk management (SCRM) processes: risk identification, risk evaluation, risk mitigation, risk monitoring and control phases. The lack of the systematic approach hinders the solution of the problem of risk management processes of dry port implementation. Therefore, management of various risks during the investments phases of dry port projects still presents a considerable challenge from the practical and theoretical points of view. In this regard, the given research became a logical continuation of fundamental research, existing in the financial models and theories (e.g., capital asset pricing model and real option theory), as well as provided a complementation for the portfolio theory. The goal of the current study is in the design of methods and models for the facilitation of dry port implementation through the mechanism of public-private partnership on the national market that implies the necessity to mitigate, first and foremost, the shortage of the investments and consequences of risks. The problem of the research was formulated on the ground of the identified contradictions. They rose as a continuation of the trade-off between the opportunities that the investors can gain from the development of terminal business in Russia (i.e. dry port implementation) and risks. As a rule, the higher the investment risk, the greater should be their expected return. However, investors have a different tolerance for the risks. That is why it would be advisable to find an optimum investment. In the given study, the optimum relates to the search for the efficient portfolio, which can provide satisfaction to the investor, depending on its degree of risk aversion. There are many theories and methods in finance, concerning investment choices. Nevertheless, the appropriateness and effectiveness of particular methods should be considered with the allowance of the specifics of the investment projects. For example, the investments in dry ports imply not only the lump sum of financial inflows, but also the long-term payback periods. As a result, capital intensity and longevity of their construction determine the necessity from investors to ensure the return on investment (profitability), along with the rapid return on investment (liquidity), without precluding the fact that the stochastic nature of the project environment is hardly described by the formula-based approach. The current theoretical base for the economic appraisals of the dry port projects more often perceives net present value (NPV) as a technique superior to other decision-making criteria. For example, the portfolio theory, which considers different risk preference of an investor and structures of utility, defines net present value as a better criterion of project appraisal than discounted payback period (DPP). Meanwhile, in business practice, the DPP is more popular. Knowing that the NPV is based on the assumptions of certainty of project life, it cannot be an accurate appraisal approach alone to determine whether or not the project should be accepted for the approval in the environment that is not without of uncertainties. In order to reflect the period or the project’s useful life that is exposed to risks due to changes in political, operational, and financial factors, the second capital budgeting criterion – discounted payback period is profoundly important, particularly for the Russian environment. Those statements represent contradictions that exist in the theory and practice of the applied science. Therefore, it would be desirable to relax the assumptions of portfolio theory and regard DPP as not fewer relevant appraisal approach for the assessment of the investment and risk measure. At the same time, the rationality of the use of both project performance criteria depends on the methods and models, with the help of which these appraisal approaches are calculated in feasibility studies. The deterministic methods cannot ensure the required precision of the results, while the stochastic models guarantee the sufficient level of the accuracy and reliability of the obtained results, providing that the risks are properly identified, evaluated, and mitigated. Otherwise, the project performance indicators may not be confirmed during the phase of project realization. For instance, the economic and political instability can result in the undoing of hard-earned gains, leading to the need for the attraction of the additional finances for the project. The sources of the alternative investments, as well as supportive mitigation strategies, can be studied during the initial phases of project development. During this period, the effectiveness of the investments undertakings can also be improved by the inclusion of the various investors, e.g. Russian Railways’ enterprises and other private companies in the dry port projects. However, the evaluation of the effectiveness of the participation of different investors in the project lack the methods and models that would permit doing the particular feasibility study, foreseeing the quantitative characteristics of risks and their mitigation strategies, which can meet the tolerance of the investors to the risks. For this reason, the research proposes a combination of Monte Carlo method, discounted cash flow technique, the theory of real options, and portfolio theory via a system dynamics simulation approach. The use of this methodology allows for comprehensive risk management process of dry port development to cover all aspects of risk identification, risk evaluation, risk mitigation, risk monitoring, and control phases. A designed system dynamics model can be recommended for the decision-makers on the dry port projects that are financed via a public-private partnership. It permits investors to make a decision appraisal based on random variables of net present value and discounted payback period, depending on different risks factors, e.g. revenue risks, land acquisition risks, traffic volume risks, construction hazards, and political risks. In this case, the statistical mean is used for the explication of the expected value of the DPP and NPV; the standard deviation is proposed as a characteristic of risks, while the elasticity coefficient is applied for rating of risks. Additionally, the risk of failure of project investments and guaranteed recoupment of capital investment can be considered with the help of the model. On the whole, the application of these modern methods of simulation creates preconditions for the controlling of the process of dry port development, i.e. making managerial changes and identifying the most stable parameters that contribute to the optimal alternative scenarios of the project realization in the uncertain environment. System dynamics model allows analyzing the interactions in the most complex mechanism of risk management process of the dry ports development and making proposals for the improvement of the effectiveness of the investments via an estimation of different risk management strategies. For the comparison and ranking of these alternatives in their order of preference to the investor, the proposed indicators of the efficiency of the investments, concerning the NPV, DPP, and coefficient of variation, can be used. Thus, rational investors, who averse to taking increased risks unless they are compensated by the commensurate increase in the expected utility of a risky prospect of dry port development, can be guided by the deduced marginal utility of investments. It is computed on the ground of the results from the system dynamics model. In conclusion, the outlined theoretical and practical implications for the management of risks, which are the key characteristics of public-private partnerships, can help analysts and planning managers in budget decision-making, substantially alleviating the effect from various risks and avoiding unnecessary cost overruns in dry port projects.
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Volatility, or the variability of the underlying asset, is one of the key fundamental components of property derivative pricing and in the application of real option models in development analysis. There has been relatively little work on volatility in real terms of its application to property derivatives and the real options analysis. Most research on volatility stems from investment performance (Nathakumaran & Newell (1995), Brown & Matysiak 2000, Booth & Matysiak 2001). Historic standard deviation is often used as a proxy for volatility and there has been a reliance on indices, which are subject to valuation smoothing effects. Transaction prices are considered to be more volatile than the traditional standard deviations of appraisal based indices. This could lead, arguably, to inefficiencies and mis-pricing, particularly if it is also accepted that changes evolve randomly over time and where future volatility and not an ex-post measure is the key (Sing 1998). If history does not repeat, or provides an unreliable measure, then estimating model based (implied) volatility is an alternative approach (Patel & Sing 2000). This paper is the first of two that employ alternative approaches to calculating and capturing volatility in UK real estate for the purposes of applying the measure to derivative pricing and real option models. It draws on a uniquely constructed IPD/Gerald Eve transactions database, containing over 21,000 properties over the period 1983-2005. In this first paper the magnitude of historic amplification associated with asset returns by sector and geographic spread is looked at. In the subsequent paper the focus will be upon model based (implied) volatility.
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O tema central deste trabalho é a avaliação do valor da opção real de espera do investimento em uma Unidade Separadora de Propeno, em comparação com uma análise estática de Valor Presente Líquido. Para isso, foi exposta a teoria de opções reais, os processos estocásticos para a estimação das suas principais variáveis de incerteza (preço de produto e insumo), bem como a descrição das ferramentas de simulação a serem utilizadas. Com os instrumentos expostos, pretendemos demonstrar aos responsáveis por projetos de investimento que as incertezas podem ser medidas, levando a maior flexibilidade na tomada de decisões. Os resultados obtidos apontam para o exercício imediato da opção pela abordagem de ativos contingentes e resultados divergentes na análise de ativos contingentes em função do diferencial de preços, em função da taxa de dividendos adotada. A influência dos valores da volatilidade e da taxa de dividendos nos resultados também foi avaliada, levando à conclusão de que o primeiro gera impactos maiores no valor da opção do que o segundo.
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Este trabalho teve como objetivo incluir flexibilidades gerenciais (tais como técnicas de injeção de gás e água) na avaliação de reservatórios. Concluimos que esta técnicas podem aumentar o valor dos reservatórios em até 25% segundo a teoria de opções reais. A principal vantagem da metodologia de teoria de opções face a tradicional técnica de fluxo de caixa descontado é levar em conta as questões operacionais da indústria do petróleo. Utilizamos dois modelos clássicos para a precificação de reservatórios de petróleo, e aplicamos uma análise de sensibilidade para determinarmos quais fatores são mais relevantes no seu valor econômico. Como era de se esperar em ambos os modelos, o tempo de concessão, bem como a taxa de convenience e/ou dividend yield foram os fatores mais importantes.
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O cenário de continuo aumento do consumo de derivados do petróleo aliado a conscientização de que é necessário existir um equilíbrio com relação a exploração de recursos naturais e preservação do meio ambiente, vem impulsionando a busca por fontes alternativas de energia. Esse crescente interesse vem se aplicando a geração de energia a partir de biomassa da cana de açúcar, que vem se tornando cada vez mais comuns no Brasil, porém ainda existe um imenso potencial a ser explorado. Dentro deste contexto, se torna relevante a tomada de decisão de investimentos em projetos de cogeração e este trabalho busca incrementar a analise e tomada de decisão com a utilização da Teoria das Opções Reais, uma ferramenta de agregação de valor às incertezas, cabendo perfeitamente ao modelo energético brasileiro, onde grandes volatilidades do preço de energia são observadas ao longo dos anos. O objetivo do trabalho é determinar o melhor momento para uma biorrefinaria investir em unidades de cogeração. A estrutura do trabalho foi dividida em três cenários de porte de biorrefinarias, as de 2 milhões de capacidade de moagem de cana-de-açúcar por ano, as de 4 milhões e as de 6 milhões, visando assim ter uma representação amostral das biorrefinarias do país. Além disso, analisaram-se três cenários de volatilidade atrelados ao preço futuro de energia, dado que a principal variável de viabilização deste tipo de projeto é o preço de energia. As volatilidades foram calculadas de acordo com histórico do ambiente regulado, o dobro do ambiente regulado e projeção de PLD, representando, respectivamente, níveis baixos, médios e altos, de volatilidade do preço de energia. Após isso, foram elaboradas as nove árvores de decisão, que demonstram para os gestores de investimento que em um cenário de baixa volatilidade cria-se valor estar posicionado e ter a opção real de investir ou adiar investimento para qualquer porte de usina. No cenário de média volatilidade de preço, aconselha-se ao gestor estar posicionado em usinas de médio a grande porte para viabilização do investimento. Por fim, quando o cenário de preços é de grande volatilidade, tem-se um maior risco e existe a maior probabilidade de viabilização do investimento em usinas de grande porte.
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O objetivo deste trabalho é revisar os principais aspectos teóricos para a aplicação de Opções Reais em avaliação de projetos de investimento e analisar, sob esta metodologia, um caso real de projeto para investir na construção de uma Planta de Liquefação de gás natural. O estudo do caso real considerou a Opção de Troca de Mercado, ao avaliar a possibilidade de colocação de cargas spot de GNL em diferentes mercados internacionais e a Opção de Troca de Produto, devido à flexibilidade gerencial de não liquefazer o gás natural, deixando de comercializar GNL no mercado internacional e passando a vender gás natural seco no mercado doméstico. Para a valoração das Opções Reais foi verificado, através da série histórica dos preços de gás natural, que o Movimento Geométrico Browniano não é rejeitado e foram utilizadas simulações de Monte Carlo do processo estocástico neutro ao risco dos preços. O valor da Opção de Troca de Mercado fez o projeto estudado mais que dobrar de valor, sendo reduzido com o aumento da correlação dos preços. Por outro lado, o valor da Opção de Troca de Produto é menos relevante, mas também pode atingir valores significativos com o incremento de sua volatilidade. Ao combinar as duas opções simultaneamente, foi verificado que as mesmas não são diretamente aditivas e que o efeito do incremento da correlação dos preços, ao contrário do que ocorre na Opção de Troca de Mercado, é inverso na Opção de Troca de Produto, ou seja, o derivativo aumenta de valor com uma maior correlação, apesar do valor total das opções integradas diminuir.
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A evolução da teoria de precificação de opções considera um conjunto de ferramentas necessárias para gerenciar e explorar o valor advindo da incerteza e da volatilidade que ampliam os parâmetros da geração de valor ao acrescentarem os conceitos de flexibilidade gerencial. Dentro deste contexto, o presente estudo teve como objetivo avaliar economicamente a implantação do Mecanismo de Desenvolvimento Limpo em uma empresa de cerâmica vermelha localizada no Arranjo Produtivo de São Miguel do Guamá, nordeste do Pará. A avaliação pretendeu demonstrar o valor da flexibilidade gerencial de Diferimento conforme adaptações realizadas na metodologia proposta por Copeland & Antikarov (2001), a qual adiciona à avaliação tradicional de fluxo de caixa descontado a Opção Real – OR – que a pesquisa considerou; e que fundamentou-se por meio de revisão de literatura para formulação do método. Essa determinação seguiu um roteiro de etapas essenciais para a análise das variáveis que compreendem o modelo e que possibilitou a ordenação dos resultados quanto aos valores da OR considerada e do valor presente incluindo a flexibilidade gerencial; com a aplicação do método na empresa objeto da pesquisa. Finalmente, como resultado deste estudo conclui-se que a Teoria de Opções Reais por meio da Opção de Diferimento ou Adiamento contribui com informações que auxiliam nas decisões gerenciais de investimento em projetos quando comparados à metodologia tradicional de avaliação visto que são consideradas incertezas inerentes ao projeto, tal como o ambiente real.
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El objetivo principal es desarrollar la metodología de opciones reales para evaluar la posible puesta en marcha de un proyecto minero. Para esto, el proyecto se divide en dos partes: En la primera parte, con carácter teórico se analizan las inversiones desde el punto de vista tradicional, comparando la problemática de estas valoraciones en ambientes de incertidumbre y flexibilidad operativa. Se analizan las opciones financieras y se comparan con las opciones reales, en cuanto a similitudes y problemáticas. Se desarrollan también los procesos estocásticos que afectan a las variables del proyecto de inversión. Se explican además, las metodologías para el cálculo de las opciones reales, incluido el cálculo de la volatilidad de las mismas. En una segunda parte, se estudia el yacimiento aurífero de Corcoesto, para el cual se realiza la simulación del plan de negocio según las características necesarias para la explotación, donde los ingresos se modelizan mediante un movimiento geométrico browniano para simular el comportamiento del precio de la onza de oro. Se elige un desarrollo de árboles binomiales para estimar el valor futuro del proyecto, a la vez que se establece un intervalo de precios de la opción para adquirir el proyecto minero. Este intervalo estará determinado por las incertidumbres del proyecto calculadas según las metodologías de Copeland y Antikarov, y Heraht y Park. Abstract This project is aimed mainly to develop real options theory to assess a mining project start-up. The project is divided in two documents: The first document with theorical content, investments are analyzed from the clasical point of view, comparing the advantages and disadvantages of this appraisal in high uncertainity and operational flexibility conditions. Financial options are analyzed and compared to real options, in both similarities and problematics. Stochastical process that affect the project variables are also developed. Methods for estimating real options value, including the methods for volatility estimation are commented. In the second document, the Corcoesto gold deposit has been studied. A bussines plan simulation has been maked according to the characteristics of the extraction, where incomes have been simulated with a geometrical Brownian movement to estimate the gold onze behaviour. The binomial tree method has been generated to study the future project value, as well as a range of option prices, for adquiring the mine project. This interval is determined by the project uncertainity calculated with the theories from Copeland and Antikarov and Herath and Park
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Many scholars have analyzed the role of the European Union (EU) in its southern neighborhood by looking at the EU’s policy documents and strategies. As such, it is often argued that the EU is at best a useful partner in democratic reform and at worst an unsuccessful ‘normative power’. However, very few studies have analyzed the EU’s role from the recipients’ point of view: the southern neighboring countries themselves. This paper adopts an ‘outside-in approach’ and explores what the southern neighborhood countries believe the EU should be or do. On the basis of a set of 15 interviews with diplomats from the region and an analysis of 50 newspaper articles from the region on the EU’s relations with its southern neighborhood, this paper seeks to reveal the EU’s real ’added value’ for its southern Mediterranean partners. To what extent does the EU’s own perceived role in its southern neighborhood match the role conception of those countries? Based on the three case studies of Algeria, Jordan and Egypt, the paper finds that there is a clear divergence in role conceptions between the EU and its southern partners. While the EU sees itself as a ‘force for good’ and promoter of norms and democracy in the southern Mediterranean region, the three countries primarily believe that the EU perceives itself foremost as a provider of security and stability in the region, while they primarily expect it to act as a reliable partner for economic cooperation.
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This paper presents a problem structuring methodology to assess real option decisions in the face of unpredictability. Based on principles of robustness analysis and scenario planning, we demonstrate how decision-aiding can facilitate participation in projects setting and achieve effective decision making through the use of real options reasoning. We argue that robustness heuristics developed in earlier studies can be practical proxies for real options performance, hence indicators of efficient flexible planning. The developed framework also highlights how to integrate real options solutions in firms’ strategic plans and operating actions. The use of the methodology in a location decision application is provided for illustration.
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Following our earlier paper on the subject, we present a general closed formula to value the interest savings due to a multi-firm cash-pool system. Assuming normal distribution of the accounts the total savings can be expressed as the product of three independent factors representing the interest spread, the number and the correlation of the firms, and the time-dependent distribution of the cash accounts. We derive analytic results for two special processes one characterizing the initial build-up period and the other describing the mature period. The value gained in the stationary system can be thought of as the interest, paid at the net interest spread rate on the standard deviation of the account. We show that pooling has substantial value already in the transient period. In order to increase the practical relevance of our analysis we discuss possible extensions of our model and we show how real option pricing technics can be applied here.
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Mestrado em Auditoria
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Labour market regulations aimed at enhancing job-security are dominant in several OECD countries. These regulations seek to reduce dismissals of workers and fluctuations in employment. The main theoretical contribution is to gauge the effects of such regulations on labour demand across establishment sizes. In order to achieve this, we investigate an optimising model of labour demand under uncertainty through the application of real option theory. We also consider other forms of employment which increase the flexibility of the labour market. In particular, we are modelling the contribution of temporary employment agencies (Zeitarbeit) allowing for quick personnel adjustments in client firms. The calibration results indicate that labour market rigidities may be crucial for understanding sluggishness in firms´ labour demand and the emergence and growth of temporary work.