Dynamic-Derivatives-Portfolio-Hedging

Unverified Other strategy on Options by bottama. BotFinder score 18 out of 100.

Algorithmic Portfolio Hedging. Black-Scholes Pricing for Dynamic Hedges to produce a Dynamic multi-asset Portfolio Hedging with the usage of Options contracts.

Source: github

Explorer/Options/Dynamic-Derivatives-Portfolio-Hedging
18
Data index
OptionsMedium risk⚠ Unverified

Dynamic-Derivatives-Portfolio-Hedging

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Track record
5.6y
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Dynamic-Derivatives-Portfolio-Hedging

Dynamic Portfolio Hedging Delta, Gamma and Vega Portfolio Neutral Last Update March 12, 2021 #### Matteo Bottacini, matteo.bottacini@usi.ch #### Project description In this project it is discussed how to construct a Dynamic multi-asset Portfolio Hedging with the usage of Options contracts. NVDA boomed over the last 2 years and here is discussed how to hedge a short position in NVDA calls. The aim is to hedge the exposure to changes in volatility, movements in the underlying asset and the speed of movements in the underlying asset. Options have exposure to not only the underlying asset but also interest rates, time, and volatility. These exposures are inputs to the Black-Scholes option pricing model. While building the script, it is also explored the intuition behind the Black-Scholes model. Folder structure: ~~~~ Dynamic-Derivatives-Portfolio-Hedging/ deliverables/ asset-allocation.py src/ utils.py variables.py README.md ~~~~ Content Main variables Black-Scholes-Merton (BS) model Greeks Dynamic hedging Portfolio position Greek neutralization Final Delta, Gamma, and Vega Neutral Portf

PythonOpen-sourcealgotradingblack-scholes-mertonbs-modeldeltaderivativesdynamic-hedgesgreeksgreeks-neutralization
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Source
bottama
Since 2017 · 3 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

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Source facts
Stars61
Forks13
Open issues0
LanguagePython
License—
Last update2021-03-12
Created2021-03-12
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