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    Optimal Interaction between Shareholders and Employees on Issuing Employee Stock Options within a Stackelberg Game Framework

    , M.Sc. Thesis Sharif University of Technology Yousefi Maragheh, Reza (Author) ; Modarres Yazdi, Mohammad (Supervisor)
    Abstract
    This paper investigates the interaction between the beneficiaries of an employee stock option plan within a Stackelberg game framework. The beneficiaries are shareholders and employees. In the proposed model, shareholders, as the leaders of the Stackelberg game, determine the optimal features of employee stock option grants. In response, employees, the followers of the proposed Stackelberg game, maximize their own profits by determining their own effort level by considering that every effort level of employees has an associated cost and expected income for employees. It is assumed that the stock price follow Geometric Brownian Motion process with a known drift rate and volatility. Also, it... 

    A Framework to Forecast Highway Construction Materials Prices

    , M.Sc. Thesis Sharif University of Technology Faghih, Amir Mohsen (Author) ; Kashani, Hamed (Supervisor)
    Abstract
    Due¬ to the volatile nature of material prices, projecting highway construction costs are proven to be very difficult, leading to many challenges in cost estimation process. Bid preparations as well as project planning and control processes are also negatively affected by the concerns about the inaccuracy of cost projections. There is a growing body of evidence that suggests the use of inaccurate cost estimate can result in bid loss or profit loss for contractors and hidden price contingencies, delayed or cancelled projects, inconsistency in budgets and unsteady flow of projects for owner organizations. Analysis of historical data indicates that a relationship between construction materials... 

    A Study on the Impact of the “Commodities’ Returns"on the Related “Firms’ Stock Returns” in Tehran Stock Exchange

    , M.Sc. Thesis Sharif University of Technology Bigham, Mostafa (Author) ; Barakchian, Mahdi (Supervisor)
    Abstract
    Are the returns of the mineral companies in Tehran Stock Exchange affected by the changes in the commodity price at the Iran Mercantile Exchange? By implementing a Multi-Factor Model we will calculate the firms’ value elasticity to the commodity price changes. We try to explain the estimated elasticities on the basis of the firm’s fundamental variables using a discounted cash flow valuation model. An unbalanced panel data estimation is employed for this purpose. Afterwards, we will suggest a novel model on the ground of the assumption that the commodity prices and firm values follow the Geometric Brownian Motion. The result of the model is that the elasticity can be explained by commodity... 

    Evaluation Stock Price Fluctuations by Using the Comparison of Moving Average Models to Select the Best Indicator Movement

    , M.Sc. Thesis Sharif University of Technology Lachiani, Mahan (Author) ; Eshghi, Kourosh (Supervisor)
    Abstract
    In this study the predictive power of “Simple Moving Average” simulation for three month horizon is investigated. The purpose of the study is expressed in two hypotheses. The first hypothesis is that there is a significant difference in the prediction of stock price volatility by “Simple Moving Average” simulation with the “Weighted Moving Average” model prediction and the second hypothesis states that using “Weighted Moving Average” model we can forecast volatility stock price for the out-of-sample period. The research data includes a series of total stock price indices from 2013 to 2018 extracted from Tehran Stock Exchange (TSE). For “Weighted Moving Average” model, three normal... 

    Stochastic modeling of the energy supply system with uncertain fuel price - A case of emerging technologies for distributed power generation

    , Article Applied Energy ; Volume 93 , 2012 , Pages 668-674 ; 03062619 (ISSN) Mirkhani, S ; Saboohi, Y ; Sharif University of Technology
    2012
    Abstract
    A deterministic energy supply model with bottom-up structure has limited capability in handling the uncertainties. To enhance the applicability of such a model in an uncertain environment two main issues have been investigated in the present paper. First, a binomial lattice is generated based on the stochastic nature of the source of uncertainty. Second, an energy system model (ESM) has been reformulated as a multistage stochastic problem. The result of the application of the modified energy model encompasses all uncertain outcomes together and enables optimal timing of capacity expansion. The performance of the model has been demonstrated with the help of a case study. The case study has...