Stock Repair Option Strategy

Stock Repair Option Strategy - options strategy analysis and payoff diagram in Excel with MarketXLS

The stock repair strategy lowers the breakeven on a stock that has fallen below your purchase price by adding a 1x2 call ratio spread: for every 100 shares, buy one at-the-money call and sell two out-of-the-money calls at a higher strike, usually for little or no net cost. If the stock recovers to the short strike by expiration, the position breaks even sooner than the shares alone would; the trade-off is that gains above the short strike are capped. It is an alternative to buying more shares to average down. This article is educational, not trading advice.

This strategy limits future upside potential but provides an alternative to simply holding the shares and waiting for the stock price to regain and/or risking more capital by adding shares to lower the original trade’s cost basis. However, at best the stock repair option strategy will break even on the original trade, but this comes at no further downside risk than already owning the shares of stock.

**How it Works (Implementation)**Stock repair is essentially a call ratio spread built with an existing long stock position and is constructed by buying one at-the-money call and simultaneously selling two out-of-the-money calls at a higher strike price. It is used when the stock price has substantially decreased after acquiring the ownership. Therefore, the at-the-money long call option will be below the cost basis of the long stock shares and short options become the break-even price for the original stock position. The ratio spread may be initiated at no cost, or result in a credit, and will help to lower the cost of the initial trade.

The premium received from selling two call options is enough to cover the cost of the one call option, and hence the result is a “free” option position that lets you break even on your investment much more quickly.** Example Using MarketXLS Template**

LSF52SwYHEXMaM8GjUp_dyIrnWxJ6JuGfwxYxyfG6NQ7KtHFiWh36gJMkAiHgXSKoM4aK7SS” alt="””/>"

Use the Stock Repair Strategy workbook for the existing-shares/one-long-call/two-short-calls setup described below.

We will be using MSFT, expiry date as 24 April 2021, ATM strike price is 260, OTM strike price is 265, and the buy price and quantity of the long losing stock is 270 and 100. Voila, we have built a Stock Repair Strategy for MSFT. 

Currently, we have a losing long stock position in MSFT. We have bought 1 ATM $260 call option contract and sold 2 OTM $265 call option contracts of MSFT. We have built the net debit strategy which is reflected in the net cash flow section.

Now, let’s check out the payoff schedule and payoff diagram alongside. 

Since it is a loss recovery strategy, the maximum gain you can make using this strategy is to recover all the losses that you have been facing in the losing long stock position. There is no additional downside risk to this repair strategy and losses from a further drop in stock price will be no different from the losses suffered if the trader had simply held on to the shares. However, if the stock price drops even more at expiration, then all the options involved will expire worthlessly and there will be no additional loss from the call ratio spread. However, the long stock position will continue to remain at a loss. 

In short, the Stock Repair strategy helps in minimizing the loss at very low or no cost as compared to the “Doubling Down” of position.

MarketXLS provides a template for this strategy and allows users to understand and plan it better. The yellow cells have to be inputted by the user. Here, Provide the Stock Ticker, Expiry Date, ATM, and OTM strike price for the call, Buy Price, and Quantity of the Long Losing Stock for the strategy. Upcoming expiry dates are available for reference.

Disclaimer

All trademarks referenced are the property of their respective owners. Other trademarks and trade names may be used in this document to refer to either the entity claiming the marks and names or their products. MarketXLS disclaims any proprietary interest in trademarks and trade names other than its own, or affiliation with the trademark owners. None of the content published on marketxls.com constitutes a recommendation that any particular security, portfolio of securities, transaction, or investment strategy is suitable for any specific person. The author is not offering any professional advice of any kind. The reader should consult a professional financial advisor to determine their suitability for any strategies discussed herein. The article is written for helping users collect the required information from various sources deemed to be an authority in their content. The trademarks if any are the property of their owners and no representations are made.

References

Stock Repair Strategy Explained 

Stock Repair Strategy Guide Fix Broken Trades With the Repair Strategy (investopedia.com)

Important Disclaimer

The information provided in this article is for educational and informational purposes only and should not be construed as investment advice, a recommendation, or an offer to buy or sell any securities. MarketXLS is a financial data platform and is not a registered investment advisor, broker-dealer, or financial planner. Always conduct your own research and consult with a qualified financial professional before making any investment decisions. Past performance is not indicative of future results. Trading and investing involve substantial risk of loss.

The Professional Investment Platform Inside Excel

Market data and options research tools in Excel

  • Option prices and Greeks in Excel
  • Historical options data in Excel
  • US stock and index options data
  • Prices and data on underlying stocks and indices
  • Use MarketXLS formulas in your Excel worksheets
  • Explore options research workflows in Excel
  • Excel formulas and sample worksheets

See MarketXLS in action

Bring this workflow into Excel.

Book a demo with our team to see how MarketXLS supports your market research.

Ankur
AnkurFounder & CEO, MarketXLS
Book a demo