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  • ‘Machine Learning for Quants’ Series with Python (Part 1)

    ‘Machine Learning for Quants’ Series with Python (Part 1)

  • Taming the Volatility Beast: The GARCH Model

    Taming the Volatility Beast: The GARCH Model

  • Unlocking Market Volatility: A Deep Dive into the ARCH Model

    Unlocking Market Volatility: A Deep Dive into the ARCH Model

  • Unlock Portfolio Insights Using NumPy Arrays

    Unlock Portfolio Insights Using NumPy Arrays

  • Python for Quantitative Finance – Chapter 1

    Python for Quantitative Finance – Chapter 1

  • “Where is the stock going next week?”: Forecasting, Mechanics, and the Volatility Puzzle

    “Where is the stock going next week?”: Forecasting, Mechanics, and the Volatility Puzzle

  • The Crystal Ball: Autoregression and the ARIMA Framework

    The Crystal Ball: Autoregression and the ARIMA Framework

  • The Architects of Uncertainty: White Noise, Random Walks, and Moving Averages

    The Architects of Uncertainty: White Noise, Random Walks, and Moving Averages

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About the blog

Shubhneet’s blog to explore financial engineering, blending theory and practice with insights on derivatives, risk management, and machine learning in finance!

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