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Understanding Implied Volatility for Trading
Sep 5, 2024
Lecture Notes: Implied Volatility by Kirk
Overview
In-depth discussion and workshop on implied volatility, crucial for options trading success.
Key Topics
What is Implied Volatility?
Definition and significance in options trading.
Comparison with stock trading: Stocks have known company information; options include time and implied volatility.
Determining Our Edge
Importance of implied volatility in trading.
Comparison to insurance companies' risk assessment and premium pricing.
IV Rank
Identifying high implied volatility.
Using IV rank to compare relative implied volatility between different stocks.
Detailed Discussion
Implied Volatility (IV)
Definition:
Anticipated future movement of stock prices.
Calculation:
Based on the price of at-the-money and near the money options.
Market Participants Influence:
Trader actions (buying options) determine future expectations.
Importance:
Differentiates options from stock trading due to the time component.
Pricing and Market Expectations
High IV suggests a significant expected stock movement.
Low IV suggests a smaller expected stock movement.
Traders influence IV through option pricing.
Expected Range
Calculated using current stock price and implied volatility percentage.
Provides a probabilistic future price range (e.g., 68% probability range).
Example: For a stock at $50 with 20% IV, expected range would be $40 to $60.
Edge in Options Trading
Comparison to Insurance:
Over-expectation of risk in pricing, similar to insurance premium modeling.
Market Overestimation:
Market often overestimates the movement range, providing an edge for option sellers.
Long-term, stocks tend to move less than implied by IV.
Strategy for Options Trading
When IV is High:
Larger positions (3-5%) due to greater market overestimation.
When IV is Low:
Smaller positions (1-2%) to maintain positive returns.
Implied Volatility Rank (IV Rank)
Purpose:
Measures current IV against historical highs and lows for a stock.
Application:
Determine relative high or low IV for decision-making.
Example:
Comparing Apple (tech) and GE (industrial) requires context-specific IV rank, not raw IV.
Practical Considerations
Software Tools:
Use tools to calculate IV rank/percentile for better trading decisions.
Historical Data:
Important to maintain and analyze for effective trading strategies.
Questions and Answers
Addressed user queries about IV calculation discrepancies and practical application.
Explained differences in IV calculation methods and their implications in trading.
Closing Remarks
Encouragement to engage with more workshops and Q&A sessions.
Emphasis on the practical application of implied volatility concepts for successful trading.
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Full transcript