This blog covers the phenomenon of volatility clustering in financial markets, its causes, and its significance for risk management, asset pricing, and portfolio management.
In this blog, I explore the concept of volatility dispersion in detail. We'll cover its key elements, various types, advantages, and limitations, providing a comprehensive understanding of this trading strategy. Additionally, visualizations will be included to illustrate the concepts and help clarify how volatility dispersion works in practice.
Option Price with Volatility import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm # Function to calculate Black-Scholes option price for call and put options def calculate_option_price(S,…
Options are contractual agreements that grant the holder the right, without imposing an obligation, to buy or sell a specified amount of an underlying asset at a predetermined price before…
Historical Volatility Historical volatility is a statistical measure that quantifies the extent to which the price of a financial instrument has varied throughout a specified time interval. It is determined…