Implementation of the vanilla Deep Hedging engine

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

This strategy works for every market condition irrespective of the movement

Automatic Options Hedging and Backtesting

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

KAIST(Korea Advanced Institute of Science and Technology) Financial Engineering( Derivatives) Course Code+@

Hedging unsing Deep Reinforcement Learning and Deep Learning

Samson's MIT Master's Degree Thesis: "Multi-Agent Deep Reinforcement Learning and GAN-Based Market Simulation for Derivatives Pricing and Dynamic Hedging".

Futures-Spot-Arbitrage-Binance-V1

Dynamic delta hedging (DDH) is a trading strategy that involves hedging a non-linear position with linear instruments. Linear instruments include spot, forward, and futures contracts. DDH helps traders manage the Delta or Gamma of a portfolio without monitoring it

Pricing and hedging of HKEX warrants in Python using Black Scholes, Implied Volatility and Delta Hedging. It is connected to HKEX and BOCI data source.

Hedging options by using Monte Carlo simulations or real data

“On an Even Keel”: Silver Risk, Trade Finance, and Hedging Strategies around the Turn of the Twentieth Century

A portfolio generator developed by QuantYantriki for the QSTH 2022 - a quantum hackathon organized by the Quantum Ecosystems and Technology Council of India (QETCI). It utilizes quantum annealing and quantum approximate optimization algorithms using a feedback-based metaheuristic that incorporates classical optimization tools to improve solutions.

The main focus of this repository is to analysis the fair price and the risk of the Auto-callable Reverse Convertible issued by Credit Suisse AG on 24/10/2017

How to hedge any positive linear gamma instrument using a “Gamma transform”

Repository represents python usability of measuring and managing risks (practice tasks and real cases)

Supplementary code for "Persistence as an optimal hedging strategy"

Coding Python targeting hedging and trading.