Solving A Compounding Riddle With Black-Scholes
A puzzle that demonstrates why option models assume lognormal distributions
A puzzle that demonstrates why option models assume lognormal distributions
The premium you receive for writing calls is not passive income but compensation for risk
A gentle introduction to trading implied index correlation
Real-life application of the Monty Hall conditional probability problem
How an option market decomposes probability from expectancy
Portfolio theory is a portable idea to other parts of life
Practice in distinguishing linear vs non-linear phenomena
The importance of looking at options comparatively
Learn how option prices depend on changes in implied volatility
Why correlations breakdown in the presence of "range restriction"
A focus on basic probability
The broad trade-offs when trying to isolate volatility bets
Options allow us to express bets on the distribution of the underlying instead of just "will the stock go up or down?"
If you sell fairly priced straddles you win more often than you lose, but the expectancy is zero. Find out why.
When an outcome is binary with an implied probability, the straddle will tell you the expected move in either direction
Options, volatility, and risk — written by traders, delivered when we publish.