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66 articles for “Stochastic Approach”
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Research ArticleOpen accessIn the abstractAn Approximate Formula of European Option for Fractional Stochastic Volatility Jump-Diffusion ModelP. Sattayatham, A. IntarasitProblem statement: We presented option pricing when the stock prices follows a jumpdiffusion model and their stochastic volatility follows a fractional stochastic volatility model. This proposed model exhibits the a memory of a stochastic volatility model that is not expressed in the classical stochastic volatility model. Approach: We introduce an approximated method to fractional stochastic volatility model perturbed by the … …Journal of Mathematics and Statistics, Vol. 7, Issue 3 · 27 Jul 2011 · 7,964 accessesView PDFCite
Research ArticleOpen accessIn the abstractDissecting Two Approaches to Energy PricesJulius N. Esunge, Andrew Snyder-BeattieProblem statement: This research tested the viability of Geometric Brownian Motion as a stochastic model of oil prices. Approach: Using autoregressions and unit root tests, we determined that oil prices tend not to exhibit the Markov Property and thus GBM may be a problematic model. Results: Instead, oil prices seem to be mean reverting over the long run, possibly following … …Journal of Mathematics and Statistics, Vol. 7, Issue 2 · 18 May 2011 · 7,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation Weather-Type Models of Capacitated Arc Routing Problem via HeuristicsZuhaimy Ismail, Mohammad Fadzli RamliProblem statement: In this study, we introduced a new and real-life condition of Capacitated Arc Routing Problem (CARP), a model that represents vehicle’s operation in waste collection. In general, we studied the element of rain drops that affected the collected waste weight in total by imposed a new variable namely rainy weight age. In rainy days, the household refusals did … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,267 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Performance Metric for Building an Optimized ClassifierMohammad Hossin, Md Nasir Sulaiman, Aida Mustapha, Norwati MustaphaProblem statement: Typically, the accuracy metric is often applied for optimizing the heuristic or stochastic classification models. However, the use of accuracy metric might lead the searching process to the sub-optimal solutions due to its less discriminating values and it is also not robust to the changes of class distribution. Approach: To solve these detrimental effects, we propose a novel … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 8,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeta Heuristic Algorithms for Vehicle Routing Problem with Stochastic DemandsGeetha Shanmugam, Poonthalir Ganesan, Dr. P.T. VanathiProblem statement: The shipment of goods from manufacturer to the consumer is a focal point of distribution logistics. In reality, the demand of consumers is not known a priori. This kind of distribution is dealt by Stochastic Vehicle Routing Problem (SVRP) which is a NP-hard problem. In this proposed work, VRP with stochastic demand is considered. A probability distribution is … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 8,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractShould Individual Investors Use Technical Trading Rules to Attempt to Beat the Market?Thomas S. Coe, Kittipong LaosethakulProblem statement: Despite widespread academic acceptance of the Efficient Markets Hypothesis, some stock traders still use technical trading rules in an attempt to beat the market. Approach: This study looked at four trading rules, namely, the arithmetic moving average, the relative strength index, a stochastic oscillator and its moving average. These trading rules compare the relationship of current prices to … …American Journal of Economics and Business Administration, Vol. 2, Issue 3 · 30 Sep 2010 · 9,435 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimenting the Simulation Strategy of Membrane Computing with Gillespie Algorithm by Using Two Biological Case StudiesRavie Chandren Muniyandi, Abdullah Mohd ZinProblem statement: The evolution rules of membrane computing have been applied in a nondeterministic and maximally parallel way. In order to capture these characteristics, Gillespie’s algorithm has been used as simulation strategy of membrane computing in simulating biological systems. Approach: This study was carried to discuss the simulation strategy of membrane computing with Gillespie algorithm in comparison to the simulation … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,941 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Calculating Activity Slack in Stochastic Project NetworksGary MitchellProblem statement: Identifying critical tasks in a project network is easily done when task times are deterministic, but doing so under stochastic task times is problematic. The few methods that have been proposed contain serious drawbacks which lead to identifying critical tasks incorrectly, leaving project managers without the means to (1) identify and rank the most probable sources of project … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 8,227 accessesView PDFCite
Research ArticleOpen accessIn the abstractApproximate Maximum Likelihood Commercial Bank Loan Management ModelGodwin Norense Osarumwense AsemotaProblem statement: Loan management is a very complex and yet, a vitally important aspect of any commercial bank operations. The balance sheet position shows the main sources of funds as deposits and shareholders contributions. Approach: In order to operate profitably, remain solvent and consequently grow, a commercial bank needs to properly manage its excess cash to yield returns in the … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 7,237 accessesView PDFCite
Research ArticleOpen accessIn the abstractStochastic Optimization for Portfolio Selection Problem with Mean Absolute Negative Deviation MeasureAnton Abdulbasah Kamil, Adli Mustafa, Khlipah IbrahimProblem statement: The most important character within optimization problem is the uncertainty of the future returns. Approach: To handle such problems, we utilized probabilistic methods alongside with optimization techniques. We developed single stage and two stage stochastic programming with recourse. The models were developed for risk adverse investors and the objective of the stochastic programming models is to minimize the … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 6,947 accessesView PDFCite