Bokus

Fahed Mostafa – författare

Visar alla böcker från författaren Fahed Mostafa. Handla med fri frakt och snabb leverans.

3 produkter

  1. Fahed Mostafa, Tharam Dillon, Elizabeth Chang - Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk, Inbunden. Tillgänglighet: Lägg i varukorg

    Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

    Av Fahed Mostafa, Tharam Dillon m. fl.

    Inbunden, 2017

    1419 kr

    Lägg i varukorg

    This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean …

  2. Elizabeth Chang, Tharam Dillon, Fahed Mostafa - Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk, E-bok. Tillgänglighet: Lägg i varukorg

    Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

    Av Elizabeth Chang, Tharam Dillon m. fl.

    E-bok, 2017

    1838 kr

    Lägg i varukorg

    This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean …

  3. Fahed Mostafa, Tharam Dillon, Elizabeth Chang - Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk, Häftad. Tillgänglighet: Lägg i varukorg

    Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk

    Av Fahed Mostafa, Tharam Dillon m. fl.

    Häftad, 2018

    1461 kr

    Lägg i varukorg

    This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling. These features mean …