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1999issue C081-4

Finish the entry from one value-at-risk band

A stop taken only from account-level pain ignores how much the security typically fluctuates. The archive workflow builds a one-horizon value-at-risk band from continuously compounded returns, then uses that same band to cap share count and to place the stop at the matching price.

  • A stop set only from account-level loss tolerance, such as a 4 percent hit on a 100000 unit account, records personal risk aversion and ignores the security's typical price fluctuation.
  • Price-volatility measures in-between fluctuation of percentage changes, not net direction, and is the standard deviation of continuously-compounded-return observations.
  • Value at risk is the money that may be lost over a fixed horizon at a chosen probability, taken from the return mean, the return standard deviation, and a confidence-coefficient.
  • Volatility-position-sizing divides the dollar risk budget by the estimated downside value-at-risk percentage, and the stop-loss is the price consistent with that same budgeted loss.
Entries in this reading3 entries

The entry is unfinished without a loss band

Editorial reading: treat a technical entry as unfinished until a one-horizon loss band is taken from the security's own return volatility and then used twice. One pass scales the share count so a precommitted dollar budget cannot be exceeded. The other pass places the stop at the price that marks that same budget.

Account pain is not a volatility measure

A stop set only from account-level loss tolerance, such as a 4 percent hit on a 100000 unit account, uses personal risk aversion and ignores the security's typical price fluctuation.

Two paths can share endpoints and differ in fluctuation

Two price paths that start and end at the same levels can have different volatilities because volatility measures in-between fluctuation, not net direction. Price-volatility is that dispersion of percentage price changes along the path, not the net direction from the start of an interval to its end.

The band is built from continuously compounded returns

Volatility is quantified as the standard deviation of continuously compounded percentage price changes, using the natural log of last price over the prior-period price. The continuously-compounded-return is that log observation. Its mean and standard deviation feed the value-at-risk band.

Prices and percentage changes do not share a shape

Raw price levels tend toward an asymmetric, log-normal-like shape because prices cannot go negative, while percentage changes are more nearly symmetric. A normal model still omits fat tails and skew.

Value at risk is money at a chosen probability

Value at risk for a single position is the money that may be lost over a fixed horizon at a chosen probability, computed as mean plus or minus a confidence-coefficient times the return standard deviation. Illustrative coefficients are 1.645 for a 90 percent interval, 1.96 for 95 percent, and 2.326 for 99 percent. Raising the confidence level widens the value-at-risk figure.

A long position reads the lower tail

A long position uses the lower tail of that band. A 90 percent two-sided interval leaves a 5 percent chance of a worse loss, also described as 95 percent confidence of not exceeding the downside percentage.

Share count uses the band before entry

Volatility-position-sizing divides the dollar risk budget by the estimated downside value-at-risk percentage so share count is bounded by both aversion and measured volatility before entry. The filter takes account equity, the dollar loss budget, and the security's estimated volatility so exposure stays inside that budget.

The stop marks the same budgeted loss

The stop-loss is then the price consistent with that budgeted, volatility-implied loss, rather than a round number chosen from discomfort alone. It is a pre-entry and in-trade filter that keeps the exit aligned with the same budget used to set the share count.

IBM weekly closes with the value-at-risk stop and the comfort stop

Week-ending IBM closes taken from the article’s calculation table, 11 December 1998 through 12 March 1999. On the 12 March long at 179.13 the author puts the stop at 167.53, the price that matches a −6.474 percent one-week 90 percent value-at-risk band. The 171.97 line is the 4 percent account-pain stop he rejects because it ignores how IBM actually moves.
Week-ending IBM closes taken from the article’s calculation table, 11 December 1998 through 12 March 1999. On the 12 March long at 179.13 the author puts the stop at 167.53, the price that matches a −6.474 percent one-week 90 percent value-at-risk band. The 171.97 line is the 4 percent account-pain stop he rejects because it ignores how IBM actually moves.IBM · Weekly · 1998-12-11T00:00:00.000Z to 1999-03-12T00:00:00.000Z

Both horizontal prices apply to the 12 March 1999 entry, not as trailing stops on earlier weeks. Weekly log-return mean 0.485 percent and standard deviation 4.364 percent; the lower band is mean minus 1.6448 standard deviations, converted back as 179.13×exp(−0.06474)≈167.53. The author notes fat tails and then sets them aside.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
2 of 5 in the Value at Risk track
20021-1 pp.Next on Value at RiskA screened holding and the utility-average stress testA large, widely held company that satisfied common fundamental screens still produced a damaging outcome after a bankruptcy filing, so investment risk was not treated as confined to internet-era names or earnings shortfalls.
All readings on this track · 5 readings
  1. 1993Evaluating downside shortfall versus variance and beta
  2. 1999Finish the entry from one value-at-risk band
  3. 2002A screened holding and the utility-average stress test
  4. 2012Equity-curve bands as a critique of value at risk
  5. 2019The recovery budget, the share count, and the first stop from one ranked tail
All 7 readings tagged Value at Risk
Also on Value at Risk5 readings