2014issue C1058
Year-end tax-loss selling as a seasonal regime
A year-end-play treats tax-loss-selling and the wash-sale-restriction as one calendar window: late-year sales in poor calendar-year names, then a repurchase-delay for anyone who still wants the same exposure.
- The year-end-play looks for names that have performed poorly in the calendar year, on the idea that holders may sell them in November or early December so realized losses can offset other taxable gains.
- The wash-sale-restriction denies a loss deduction when a substantially identical security, or a contract or option to acquire one, is bought within 30 days before or after the sale, including purchases by a spouse or a controlled company.
- Holders who still want the same shares or related options are described as observing a repurchase-delay of at least 30 days.
- The historical workflow prepares in mid- to late October, applies a price-to-book-filter and a sector-spread, checks volume in the trade window, and takes an early profit if a name moves in the holder's favor before year-end.
The year-end-play
The year-end-play is a calendar-window approach that looks for names sold late in the tax year so holders can realize losses, then treats the later repurchase constraint as part of the same setup.
The setup is framed as buying names that have performed poorly during the calendar year because holders may sell them in November or early December. That tax-loss-selling is meant to realize losses that can offset other taxable gains for the same year.
The wash-sale-restriction
A wash-sale-restriction denies a loss deduction when a substantially identical security, or a contract or option to acquire one, is bought within 30 days before or after the sale.
The same restriction is also triggered if a spouse or a company controlled by the seller buys a substantially equivalent security.
Holders who still want the same exposure are described as waiting at least 30 days before repurchasing the shares or related options. That wait is the repurchase-delay.
Preparation, the price-to-book-filter, and a sector-spread
Preparation is timed to mid- to late October, with entries allocated as a sector-spread across several industry groups instead of concentrated in one cluster of losers.
Candidate selection is described as starting with the worst calendar-year performers around 1 November, then keeping only names judged financially solid and trading at or below price-to-book. That quality screen is the price-to-book-filter.
Volume and the early-profit exit
Volume around the intended trade window is presented as a check for whether tax-motivated selling is already underway.
If a purchased name moves in the holder's favor before year-end, the procedure includes taking the profit instead of waiting for the calendar date.
All readings on this track · 41 readings
- 1989Evaluating venue volume as a speculation-breadth signal
- 1991A thirty-name price-weighted average as a seasonal regime classroom
- 1991Ranked half-year rate changes as an equity signal filter
- 1991Demographic wave as a market-regime overlay
- 1994Seasonal range regimes as a futures context overlay
- 1996Evaluating presidential party terms as equity regimes
- 1996A dominant cycle is a baseline, not a reprint
- 1996Seasonality and presidential election cycle regimes
- 1997Stacking calendar regimes around election years
- 1997Calendar seasonality as a testable trading procedure
- 1997Lunar phase delay as a testable seasonal regime
- 1998Seasonal system construction without curve-fitting
- 1999Crowd life cycle as a market regime map
- 2001Regime-dependent cycle timing after four-year and seasonal lows
- 2002A 2002 case study in regime-first seasonal selection
- 2002Seasonal windows and dominant-cycle rules
- 2002Fifty-four-year wholesale cycle as an inflation-deflation regime map
- 2004The championship conference rule as a yearly regime case study
- 2004Election-year seasonality as trade regime context
- 2006Two-ten inversion as an intermarket regime filter
- 2006Midterm-to-presidential seasonal holding window
- 2008Two-layer equity regimes from seasonality and price history
- 2008Seasonal futures as a regime filter, not a calendar rule
- 2008Retesting seasonal rules when regimes change
- 2010Corn and wheat staggered calendars as dollar-neutral seasonal spreads
- 2011Name the S&P 500 trend regime before using weekly and monthly seasonality
- 2012Seasonal windows that wait for confirmation
- 2013Pair-sleeve rotation as a two-state sector regime-switch
- 2013Lunar phase as a seasonal overlay on implied volatility
- 2013Soybean seasonal highs in a five-year carryover regime
- 2014Year-end tax-loss selling as a seasonal regime
- 2017Calendar-window overlays that mute mechanical signals without rewriting the system
- 2017A four-year cycle and volume case study of a secular bear
- 2017Treat the valuation climate as climate and implied-volatility extremes as weather
- 2019Seasonal depth versus tracking for futures position sizing
- 2019Stacking cycle forecasts with seasonal regimes
- 2019Hit-rate gates for seasonal regime evaluation
- 2019July to October as a seasonal window, not a reason to own the name
- 2020A recession-regime checklist from valuation stretch and the yield curve
- 2020Treat a seasonal idea as a stay-or-sit holding procedure
- 2020A single position as a sleeve on a seasonal regime map