For a variety of reasons, many bank and corporate finance executives are implementing enterprise risk management systems to better understand and manage the firm’s risks. Our objective is to provide tools that evaluate the accuracy of the output from these systems. Especially in markets where the risks are large and complex, such as energy firms, it is crucial to establish the accuracy of the r...

Customer lifetime value (LTV, see e.g. Bauer et al. 2005 and Rosset et al. 2003), which measures the profit generating potential, or value, of a customer, is increasingly being considered a touchstone for administering the CRM (Customer relationship management) process. This in order to provide attractive benefits and retain high-value customers, while maximizing profits from a business standpo...

Consolidation of multiple sources of uncertainty into a single stochastic process for project value can provide increased computational flexibility for the analysis of complex real option valuation problems. Nonetheless, the volatility, a critical parameter in the stochastic project value model, is systematically overstated by the existing estimation methods, which can result in incorrect optio...

capital asset pricing, as one of the basic theories in finance and investment area, develop a model for estimation of expected rate of return and equity cost of capital. this model has many applications in the field of finance. one of anomalies in the capital asset pricing model is the value premium that its proponents believe this risk premium is compensation for a risk not mentioned in origin...

The heavy tailed distributions have mostly been used for modeling the financial data. The kappa distribution has higher peak and heavier tail than the normal distribution. In this paper, we consider the estimation of the three unknown parameters of a Kappa distribution for evaluating the value at risk measure. The value at risk (VaR) as a quantile of a distribution is one of the import...

this paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. this estimation method is obtained by implementing ridge regression learning algorithm in the la- grangian dual space. the distance measure for fuzzy numbers that suggested by diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...

dynamic frothability index (dfi) is a characteristic of any frother which presents useful information about frothing properties. the objective of this study is to introduce a prediction model for estimation of dfi value of dual-frother blends. model uses the dfis of frothers and mole ratio of weaker frother to calculate the blend’s dfi. the model reliability was confirmed by comparing the exper...

In this paper we investigate the large-sample behavior of the maximum likelihood estimate (MLE) of the unknown parameter θ for processes following the model dξt = θf(t)ξt dt+ dBt where f : R → R is a continuous function with period, say P > 0, and which is observed through continuous time interval [0, T ] as T → ∞. Here the periodic function f(·) is assumed known. We establish the consistency o...

A novel value-estimation function method for global optimization problems with inequality constraints is proposed in this paper. The value-estimation function formulation is an auxiliary unconstrained optimization problem with a univariate parameter that represents an estimated optimal value of the objective function of the original optimization problem. A solution is optimal to the original pr...