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Title: Optimization of cash management fluctuation through stochastic processes
Authors: Dib, Youssef 
Kmeid, Najat
Greige, Hanna 
Raffoul, Youssef
Affiliations: Department of Mathematics 
Department of Mathematics 
Keywords: Markov Chain
Expected Duration
Mean Length
First-Step Analysis
Principle of Optimality
Positive Dynamic Programming
Subjects: Cash management--Mathematical models
Issue Date: 2018
Conference: American Mathematical Society (AMS) & Mathematical Association of America (MAA) Joint Meeting (2018 : St.Diego, USA) 
In this paper, we study the optimal level of cash for the firm to hold. We model the cash level with inflows and outflows due to deposits and withdrawals; in between, the cash level is a stochastic process where it signals a time to sell. After modeling the continuous jump, we implemented first step analysis method to find the probability of the event with initial cash and we were able to calculate data driven by set of difference equations. These data are used to determine the length of the period of the investment. Then, we adopt the probabilistic decision model where it goes under mathematical optimization. This model let the investor to maximize the probability of success or to stop on one of the largest fortunes using the equation of the principle of optimality. Finally, to solve these optimal equations, we used the result of positive dynamic programming and we elaborated them by proves.
Type: Conference Presentation
Appears in Collections:Department of Mathematics

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