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Mathematica for finance
Mathematica for finance












mathematica for finance

The following chapters of this book are listed in IDEAS

mathematica for finance

" Revisiting the Copula-Based Trading Method Using the Laplace Marginal Distribution Function,"

  • Tayyebeh Nadaf & Taher Lotfi & Stanford Shateyi, 2022.
  • International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol.

    mathematica for finance

    " Efficient portfolio construction by means of CVaR and k‐means++ clustering analysis: Evidence from the NYSE,"

  • Fazlollah Soleymani & Mahdi Vasighi, 2022.
  • " On the Conditional Value at Risk Based on the Laplace Distribution with Application in GARCH Model,"
  • Malik Zaka Ullah & Fouad Othman Mallawi & Mir Asma & Stanford Shateyi, 2022.
  • " Pricing foreign exchange options under stochastic volatility and interest rates using an RBF-FD method,"
  • Fazlollah Soleymani & Andrey Itkin, 2019.
  • " Interactions of Logistic Distribution to Credit Valuation Adjustment: A Study on the Associated Expected Exposure and the Conditional Value at Risk,"
  • Yanlai Song & Stanford Shateyi & Jianying He & Xueqing Cui, 2022.
  • " Classifying a Lending Portfolio of Loans with Dynamic Updates via a Machine Learning Technique,"
  • Fazlollah Soleymani & Houman Masnavi & Stanford Shateyi, 2020.
  • " Managing the risk based on entropic value-at-risk under a normal-Rayleigh distribution,"Īpplied Mathematics and Computation, Elsevier, vol.
  • Ahmed, Dilan & Soleymani, Fazlollah & Ullah, Malik Zaka & Hasan, Hataw, 2021.
  • Level I certification in Differential Equations is awarded to those who meet the completion requirements and also pass the course final exam.

    mathematica for finance

    Earn a certificate by watching all lesson and problem session videos and completing the quizzes with a passing grade. Problem sessions, exercises and quizzes are provided for self-paced assessment. The course starts with a discussion of direction fields and methods for solving first-order differential equations, followed by the study of second-order equations and their applications, and then moves on to solving systems of differential equations. Follow along with the examples in the Wolfram Cloud and use the material to prepare for courses in natural science, engineering, economics and other fields. Prerequisites for differential equations include calculus and linear algebra.Ī comprehensive introduction to fundamental concepts and solution methods for differential equations, including video lessons and interactive notebooks. Requirements: This course requires no prior knowledge of Mathematica or the Wolfram Language. Introduction to Differential Equations Interactive Course | FREE














    Mathematica for finance