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Innovative Derivatives: The World of Exotic Options

Posted by By Shailendra, FRM, CQF January 27, 2024Posted inOptions
In-depth exploration of various Exotic Options, shedding light on their benefits, limitations, and the intricate methods employed for pricing!
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Options Strategies With Python – Part 1

Posted by By Shailendra, FRM, CQF January 12, 2024Posted inPython Code
Covered Call import numpy as np import matplotlib.pyplot as plt # Function to calculate the payoff of a covered call def covered_call_payoff(s, strike_price, stock_purchase_price, call_premium): # Stock payoff without the…
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Exploring Greeks – Vega (ν) and RHO (ρ) with Python

Posted by By Shailendra, FRM, CQF January 9, 2024Posted inPython Code
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,…
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Exploring Greeks – Gamma (Γ) and Theta (Θ) with Python

Posted by By Shailendra, FRM, CQF January 7, 2024Posted inPython Code
Relationship of Gamma (Γ) with different expiries import numpy as np import matplotlib.pyplot as plt from tabulate import tabulate from scipy.stats import norm # Function to calculate call gamma def…
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Comprehensive Guide to Option Greeks: Insights and Applications

Posted by By Shailendra, FRM, CQF January 6, 2024Posted inOptions
In mathematical finance, the Greeks serve as essential measures denoting the sensitivities or derivatives of a derivative instrument's price—like an option—to alterations in one or more underlying parameters. These parameters…
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Implied Volatility: Newton-Raphson and Bisection Method

Posted by By Shailendra, FRM, CQF January 3, 2024Posted inPython Code
Newton-Raphson Method import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm import math def bsm_option_price(S, K, T, r, sigma, option_type='call'): d1 = (math.log(S / K) + (r…
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Valuing Options – Black Scholes Merton

Posted by By Shailendra, FRM, CQF December 31, 2023Posted inPython Code
Generate a 3D plot import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from scipy.stats import norm def black_scholes_merton(S, K, T, r, sigma, option_type): d1 = (np.log(S…
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Understanding BSM Theory: Analyzing Option Prices in Financial Markets

Posted by By Shailendra, FRM, CQF December 30, 2023Posted inOptions
History The groundbreaking work of economists Fischer Black and Myron Scholes in 1968 laid the foundation for a significant breakthrough in financial economics. They introduced the concept of a dynamic…
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Basic Options Concepts

Posted by By Shailendra, FRM, CQF December 25, 2023Posted inOptions
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…
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Historical and Implied Volatility

Posted by By Shailendra, FRM, CQF October 24, 2023Posted inTrading
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…
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