← All tracks

Track 15 of 25

Volatility

Clustering, why quiet periods precede violent ones, realised against implied, and what a volatility spike does to a haircut.

0%

25 lessons

Mark a lesson complete and it is remembered here.

  1. What volatility is, as a measurement rather than a moodA share moving eight dollars and a share moving thirty-seven cents can be equally volatile, and only one of them gets noticed.6 min
  2. How a realised volatility is actually computedFive arithmetic steps on a short list of returns, and the last step hides a divisor most people never see.7 min
  3. Annualising, and why the square root of time appearsVariances add across independent periods and volatilities do not, which is the entire reason a square root is involved.6 min
  4. Why the window length changes the answerOne unchanged price series yields 42 percent, 36 percent or 30 percent, depending only on how far back the measurer chose to look.7 min
  5. Volatility clustering, described and measuredTomorrow's direction is close to unforecastable; the size of tomorrow's move is not, and the asymmetry has a number.7 min
  6. Why quiet periods precede violent onesQuiet does not cause violence; it shrinks the estimate of how violent things could get, and the estimate is what gets used.7 min
  7. The volatility of volatilityThe input is more variable than most of the things it measures, and it cannot fall below zero while it can rise without limit.6 min
  8. Realised against implied, and what the gap isThe usual comparison puts a forecast beside a history, which is why the gap so often points the wrong way.7 min
  9. What implied volatility is the price ofWhat the premium pays for is a hedging programme, and the result settles in variance, not in quoted points.7 min
  10. The variance risk premium, mechanicallyIn the units the exposure settles in, the premium is a third of implied variance rather than a sixth.7 min
  11. Why implied usually exceeds realised, and when it does notIt wins sixteen quarters out of twenty and still averages almost nothing, because the four losses are more than three times the size.7 min
  12. The term structure of volatilityEach expiry quotes an average over its whole life, so the difference between two of them prices a stretch of time neither one covers.7 min
  13. What an inverted volatility term structure indicatesA downward slope is a dated forecast that the stress will end, and the date and the number can both be read off.7 min
  14. The surface, and what a skew is measuringTrack 3 described the shape; the slope of it has a number, and a model reading a different column produces a different lending value.6 min
  15. Why an equity skew exists at allA company's shares get more volatile as they fall for a reason involving no fear, no trading and no revision of anything.7 min
  16. What a volatility spike does to a haircutThe advance rate falls because one figure in a formula moved, and nobody looked at the borrower, the price or the file.7 min
  17. Why a haircut is a volatility forecast wearing different clothesRun the model backwards and a published percentage becomes readable, but only as one product of two numbers you must fix separately.7 min
  18. From a volatility figure to a one-day loss estimateA percentile of an assumed distribution times a position gives a dollar figure, and the assumption is the weakest link in it.6 min
  19. From one day to a liquidation windowFour and a half times the sessions gives only 2.12 times the discount, for a reason lesson 5 undermines.7 min
  20. Why volatility targeting mechanically forces sellingA rule that holds risk constant must change position size, and the direction is decided before anyone looks at a price.6 min
  21. Volatility as a trigger inside other people's rulesYour headroom depends on rules you are not party to, and nearly all of them read the same input your lender does.7 min
  22. Dealer hedging, and flow that nobody choseA market maker with no opinion still has to sell into declines, and the amount is set by a curvature rather than a judgement.6 min
  23. Why a quiet regime accumulates leverageBorrowing capacity is computed from volatility, so a calm year hands out room that a noisy one takes back without asking.7 min
  24. The volatility feedback loop, end to endOne 6.2 percent session lifts a twenty-session estimate by 13.7 points, and the estimate costs more than the price does.7 min
  25. One position, three volatility regimes, three cushionsNothing about the holding changes across the three cases, and the decline it survives goes from 38.6 percent to 6.5 percent.7 min

Educational only. Nothing in this track is investment, legal or tax advice, or a recommendation to enter into any transaction. Completion is stored in this browser and nowhere else.

Dhruv Intelligence provides informational and educational intelligence only. Nothing on this site constitutes investment, legal, tax, or financial advice, or a recommendation to buy, sell, or hold any security or to enter into any transaction. All decisions remain solely those of the user. Dhruv Intelligence is not a registered investment adviser or broker-dealer.

Dhruv Intelligence™, MACH11™, and Monk Score™ are unregistered trademarks of Dhruv Intelligence, Inc. USPTO intent-to-use applications are pending for Dhruv Intelligence™ and MACH11™. None of the marks has registered. Patent Pending (US Provisional, 2026).

© 2026 Dhruv Intelligence, Inc. All rights reserved. · The fixed point.

New York, NY · San Jose, CA · Miami Beach, FL · Salt Lake City, UT

A SOC 1 and SOC 2 Type 1 audit is in progress with Thoropass, engaged August 13, 2026. No report has been issued. · Contact: info@dhruvintelligence.ai

Institutional Access →