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What is Delta Hedging || Dynamic Delta Hedging like a Quant || Profit & Loss Options Trading
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Today we look at hedging options from a quant’s perspective. In this video we look at the difference in Profit and Loss (P&L) with three different strategies: dynamic delta hedging, static delta hedging and no delta hedging.
Delta hedging is a way to reduce directional risk of the underlying to your options positions by transacting in the money markets (bank account) and the underlying (stocks/futures/etfs/index). By continually adjusting in the underlying and bank account, we can effectively replicate the changes in payoff of the ‘new’ option contract. Essentially instead of betting on the direction at one time spot (on entry) we are now making a series of bets at different levels.
Hopefully in this video the importance and relevance of realized volatility becomes apparent and hence why market marking firms like Optiver are so keen on forecasting realized volatility as accurately as possible.
★ ★ Code Available on GitHub ★ ★
00:00 Intro
00:22 What is Delta Hedging?
01:40 Importance of Realized Volatility
02:00 Real world examples
03:56 Full worked example: Short CBA Nov 102 Call
06:40 Looking at P&L over 1000 trades
07:45 P&L distributions for different hedging strategies
★ ★ QuantPy GitHub ★ ★
★ ★ Discord Community ★ ★
★ ★ Support our Patreon Community ★ ★
Get access to Jupyter Notebooks that can run in the browser without downloading python.
★ ★ ThetaData API ★ ★
ThetaData's API provides both realtime and historical options data for end-of-day, and intraday trades and quotes. Use coupon 'QPY1' to receive 20% off on your first month.
★ ★ Online Quant Tutorials ★ ★
★ ★ Contact Us ★ ★
Disclaimer: All ideas, opinions, recommendations and/or forecasts, expressed or implied in this content, are for informational and educational purposes only and should not be construed as financial product advice or an inducement or instruction to invest, trade, and/or speculate in the markets. Any action or refraining from action; investments, trades, and/or speculations made in light of the ideas, opinions, and/or forecasts, expressed or implied in this content, are committed at your own risk an consequence, financial or otherwise. As an affiliate of ThetaData, QuantPy Pty Ltd is compensated for any purchases made through the link provided in this description.
Delta hedging is a way to reduce directional risk of the underlying to your options positions by transacting in the money markets (bank account) and the underlying (stocks/futures/etfs/index). By continually adjusting in the underlying and bank account, we can effectively replicate the changes in payoff of the ‘new’ option contract. Essentially instead of betting on the direction at one time spot (on entry) we are now making a series of bets at different levels.
Hopefully in this video the importance and relevance of realized volatility becomes apparent and hence why market marking firms like Optiver are so keen on forecasting realized volatility as accurately as possible.
★ ★ Code Available on GitHub ★ ★
00:00 Intro
00:22 What is Delta Hedging?
01:40 Importance of Realized Volatility
02:00 Real world examples
03:56 Full worked example: Short CBA Nov 102 Call
06:40 Looking at P&L over 1000 trades
07:45 P&L distributions for different hedging strategies
★ ★ QuantPy GitHub ★ ★
★ ★ Discord Community ★ ★
★ ★ Support our Patreon Community ★ ★
Get access to Jupyter Notebooks that can run in the browser without downloading python.
★ ★ ThetaData API ★ ★
ThetaData's API provides both realtime and historical options data for end-of-day, and intraday trades and quotes. Use coupon 'QPY1' to receive 20% off on your first month.
★ ★ Online Quant Tutorials ★ ★
★ ★ Contact Us ★ ★
Disclaimer: All ideas, opinions, recommendations and/or forecasts, expressed or implied in this content, are for informational and educational purposes only and should not be construed as financial product advice or an inducement or instruction to invest, trade, and/or speculate in the markets. Any action or refraining from action; investments, trades, and/or speculations made in light of the ideas, opinions, and/or forecasts, expressed or implied in this content, are committed at your own risk an consequence, financial or otherwise. As an affiliate of ThetaData, QuantPy Pty Ltd is compensated for any purchases made through the link provided in this description.
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