The Stop-Loss Start-Gain Strategy Modification With Tilt Deadband Research

 
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Abstract

In this article The stop-loss start-gain strategy modification with tilt deadband is studied. The top line of this band is tilted. During the research mathematical model with discrete pricing process was examined. The increments of this process have a normal distribution with a constant nonzero mean and constant dispersion. The article considers the distribution of the number of intersections of a nonrectilinear strip by a discrete Gaussian walk. Formulas that allow to specify the distribution of the number of intersections of the strip in the directions “bottomup” and “top-down” were deduced. An algorithm was developed to calculate the number of these intersections and evaluate the conditional probability of the transition. In addition, the dependence of the average hedger losses while using this strategy on the slope coefficient of the upper boundary of the dead band and the band width was considered. Using the Monte Carlo simulation, an algorithm was developed to find the optimal width and slope of the strip. During the numerical experiments, the dependence was revealed and the optimal slope coefficient was determined for the given parameters. Experimental work confirmed the correctness of the proposed algorithms and proved the effectiveness of this modification in comparison with the use of a strategy with a straight strip.

General Information

Keywords: option, stop-loss start-gain strategy, Gaussian walk, deadband

Journal rubric: Mathematical Modelling

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OpenAlex trends: Differential Equations and Numerical Methods, Stochastic processes and financial applications, Advanced Research in Systems and Signal Processing

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Differential Equations and Numerical Methods

This cluster of papers focuses on numerical methods and analysis for solving singularly perturbed problems, particularly in the context of convection-diffusion and reaction-diffusion equations. The research covers topics such as boundary layers, finite difference schemes, asymptotic analysis, parameter-robust methods, and adaptive meshes to accurately solve these challenging problems.

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Stochastic processes and financial applications

This cluster of papers focuses on the theory and applications of option pricing models, including topics such as stochastic calculus, jump diffusion, volatility modeling, mean field games, term structure models, risk premia, Monte Carlo simulation, and market microstructure noise in the context of financial economics.

Number of works: 118312  |  Total number of citations: 1557413

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Advanced Research in Systems and Signal Processing

This cluster of papers focuses on the integration of cyber, physical, and social systems, with an emphasis on decision making, urban computing, autodyne sensors, machine learning, data mining, transportation systems, information management, parallel computing, and infrastructure development.

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Article type: scientific article

DOI: https://doi.org/10.17759/mda.2019090403

Published

For citation: Zubov, S.A. (2019). The Stop-Loss Start-Gain Strategy Modification With Tilt Deadband Research. Modelling and Data Analysis, 9(4), 46–56. (In Russ.). https://doi.org/10.17759/mda.2019090403

© Zubov S.A., 2019

License: CC BY-NC 4.0

References

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Information About the Authors

Svyatoslav A. Zubov, Student, Moscow Aviation Institute (National Research University), Moscow, Russian Federation, e-mail: zubslav@yandex.ru

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