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Trading and Hedging Bitcoin Volatility

Offered By: Society for Industrial and Applied Mathematics via YouTube

Tags

Cryptocurrency Trading Courses Risk Management Courses Bitcoin Courses Quantitative Finance Courses Implied Volatility Courses

Course Description

Overview

Explore a comprehensive virtual talk on trading and hedging Bitcoin volatility presented by Carol Alexander from the University of Sussex. Delve into the complexities of crypto asset markets, focusing on bitcoin and ether trading behavior in centralized exchanges. Examine empirical research on bitcoin implied volatility and variance risk premium, which led to the development of a live-streamed bitcoin implied volatility index. Investigate perpetual futures, a unique derivative product in unregulated crypto exchanges, and analyze the impact of margin constraints and default aversion on optimal hedging strategies for bitcoin spot price volatility. Gain insights into the crypto ecosystem, stable coins, on-chain exchanges, physical volatility, price discovery methodologies, and advanced topics such as Skew Student t Asymmetric Markov Switching GARCH models.

Syllabus

Intro
Section 1
Section 3
General Overview
Sector Returns
Correlation of BTC Returns with Gold and US Equities
Main Players in the Crypto Ecosystem
Stable Coins
Tether and BitFinex
On-Chain Exchanges
Large on-Chain Flows
On-Chain Data
Physical Volatility and Price Discovery
Comparison of VWAP Bitcoin and Ether Rates
Comparison of Crypto Market Indices
Skew Student t Asymmetric Markov Switching GARCH
BitMEX Exchange
Alexander and Heck (2020)
Price Discovery Methodology
2. Options and Variance Swaps
Implied Volatility Indices
Variance Swap Rate Term Structure (Short End)
Bitcoin Variance Risk Premium per S1 Notional
Reverse Leverage Effect in Bubble Regime
Hedging with Perpetuals
Alexander, Deng and Jun (2020)
Margin Mechanism
Probability of BitMEX Margin Call
Margins and Liquidations
Sensitivity Analysis of Optimal Strategy
Data and Correlations
Estimation of Tail Parameters
Summary So Far


Taught by

Society for Industrial and Applied Mathematics

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