Long Options Payoff Profiles

    Date:

    The post “Long Options Payoff Profiles” first appeared on Robot Wealth blog.

    In this article, we explore the payoff to holding long options positions.

    Read the previous parts of this 101 series on options:

    Payoff Profile of a Long Call

    So far, we’ve plotted the value of an option at expiration.

    This is useful (as we’ll see later), but it doesn’t represent our profit and loss from being long that option.

    For that, we need to subtract the amount we paid from the option from the payoff for all values of the underlying asset price.

    Example: Long a call option expiring “in the money”

    • Pam pays $2 for $100 strike calls on product X.
    • At the expiration date, product X is trading in the market at $130.

    What is Pam’s net P&L?

    We follow this process:

    1. Calculate the value of the option
    2. Subtract the value we paid for it.

    If the product is trading at $130 at expiry, and Pam holds calls with a $100 strike then Pam’s calls are “in the money”. Pam can exercise her call option at $100 and then sell the product in the market at $130. So:

    Value of call option at expiration = $130 - $100 = $30

    Now we subtract the amount Pam paid for the call option to get her net p&l in the trade.

    Net Profit = $30 - $2 = $28

    Nice trade, Pam.

    Example: Long a call option expiring “out of the money”

    Let’s take a similar example…

    • Pam pays $2 for $100 strike calls on product X
    • At the expiration date, product X is trading in the market at $90

    What is Pam’s net P&L now?

    We follow this process:

    1. Calculate the value of the option
    2. Subtract the value we paid for it.

    The product is trading below the value of Pam’s call strike. So there’s no point exercising these options. Pam is a smart lady and she wouldn’t pay more than she had to for product X.
    So Pam’s options expire “out of the money”.  They expire worthlessly.

    Value of call option at expiration = $0

    Now, we subtract the amount Pam paid for the call option to get her net P&L in the trade.

    Net Profit = $0 - $2 = -$2

    It was a loss – but because she bought call options, Pam’s loss was limited to the amount she paid for the calls.

    Payoff Profile for Long Call Position

    We can plot the P&L of a long options position held to expiration as a function of the price of the underlying asset.

    To do this we:

    • calculate the value of the option at expiry for a range of underlying asset prices
    • subtract the value paid for the option (“the premium”) from each point.
    min_price <- 50
    max_price <- 150
    strike <- 100 
    premium <- 2 
    call_payoffs <- tibble(price = c(min_price, strike, max_price)) %>%
      mutate(callvalue = case_when(price < strike ~ 0, TRUE ~ price - strike)) %>%
      mutate(payoff = callvalue - premium) 
    call_payoffs %>%
      ggplot(aes(x = price, y = payoff)) + 
        geom_line() + 
        ggtitle(paste0('Payoff profile for long $100 call - Premium $2))

    We see that:

    • Our maximum loss is the amount we paid for the call options
    • Our profit is unlimited
    • We break even at the price where the value of the call option at expiration is equal to the amount we paid for the calls. This is premium + strike = $102

    Now let’s do the same for a Put Option.

    Payoff Profile of a Long Put Option

    This is exactly the same deal as before.

    We calculate the put’s value at expiration at various prices of the underlying asset and then subtract the price we paid for the option.

    We just need to remember that a put option is an option on being able to sell the underlying asset at the strike price. So this time around, all the action happens when the underlying asset price is below our strike.

    At the risk of being a bit tedious, we’ll run through some examples.

    Example: Long a put option expiring “in the money”

    • Fabio pays $1 for $95 strike puts on product Z.
    • At the expiration date, product Z is trading in the market at $90.

    What is Fabios’s net P&L?

    We follow this process:

    1. Calculate the value of the option
    2. Subtract the value we paid for it.

    If the product is trading at $90 at expiry, and Fabio holds puts with a $95 strike, then Fabio’s calls are “in the money”. Fabio can exercise his put option and sell product X at $95, then immediately buy back the product in the market at $90. So:

    Value of put option at expiration = $95 - $90 = $5

    Now we subtract the amount Fabio paid for the put option to get his net p&l in the trade.

    Net Profit = $5 - $1 = $4

    Nice trade, Fabio.

    Example: Long a call option expiring “out of the money”

    Let’s take a similar example…

    • Fabio pays $1 for $95 strike calls on product X
    • At the expiration date, product X is trading in the market at $100

    What is Fabio’s net P&L now?

    We follow this process:

    1. Calculate the value of the option
    2. Subtract the value we paid for it.

    The product is trading above the value of Fabio’s call strike. So there’s no point exercising these options. Fabio is a smart man and he wouldn’t sell product Z for less than he could get in the market.

    So Fabio’s options expire “out of the money”.  They expire worthlessly.

    Value of put option at expiration = $0

    Now we subtract the amount Fabio paid for the call option to get her net p&l in the trade.

    Net Profit = $0 - $1 = -$1

    It was a loss – but because he bought options, Fabio’s loss was limited to the amount he paid for the puts.

    Payoff Profile for Long Put Position

    We can plot the P&L of a long options position held to expiration as a function of the price of the underlying asset.

    To do this we:

    • calculate the value of the option at expiry for a range of underlying asset prices
    • subtract the value paid for the option (“the premium”) from each point.
    min_price <- 50
    max_price <- 150
    strike <- 95 
    premium <- 1
    put_payoffs <- tibble(price = c(min_price, strike, max_price)) %>% 
      mutate(putvalue = case_when(price > strike ~ 0, TRUE ~ strike - price)) %>%
      mutate(payoff = putvalue - premium)
    put_payoffs %>% 
      ggplot(aes(x = price, y = payoff)) + 
      geom_line() + 
      ggtitle(paste0('Payoff profile for long $95 put - Premium $1'))

    We see that:

    • Our maximum loss is the amount we paid for the put options
    • Our profit is unlimited
    • We break even at the price where the value of the put option at expiration is equal to the amount we paid for the puts. This is strike - premium = $95 - $1 = $94

    Now we understand the basics, we will next look at a simple applied use of put options: portfolio hedging.

    Disclosure: Interactive Brokers

    Information posted on IBKR Campus that is provided by third-parties does NOT constitute a recommendation that you should contract for the services of that third party. Third-party participants who contribute to IBKR Campus are independent of Interactive Brokers and Interactive Brokers does not make any representations or warranties concerning the services offered, their past or future performance, or the accuracy of the information provided by the third party. Past performance is no guarantee of future results.

    This material is from Robot Wealth and is being posted with its permission. The views expressed in this material are solely those of the author and/or Robot Wealth and Interactive Brokers is not endorsing or recommending any investment or trading discussed in the material. This material is not and should not be construed as an offer to buy or sell any security. It should not be construed as research or investment advice or a recommendation to buy, sell or hold any security or commodity. This material does not and is not intended to take into account the particular financial conditions, investment objectives or requirements of individual customers. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.

    Disclosure: Options Trading

    Options involve risk and are not suitable for all investors. Multiple leg strategies, including spreads, will incur multiple commission charges. For more information read the “Characteristics and Risks of Standardized Options” also known as the options disclosure document (ODD) or visit ibkr.com/occ

    Go Source

    Chart

    SignUp For Breaking Alerts

    New Graphic

    We respect your email privacy

    Share post:

    Popular

    More like this
    Related

    Microsoft Highlights 6 AI Trends For 2025

    Microsoft Corp. MSFT listed six AI trends in a...

    Mark Cuban on Selling Dallas Mavericks Stake: ‘I Didn’t Want My Kids Feeling the Pressure of Walking Into My Spot’

    Mark Cuban, the long-standing face of the Dallas Mavericks, has...

    This Warren Buffett-Backed Stock Is A 2025 ‘Top Pick’ With Big Gains Ahead, Says Analyst

    VeriSign VRSN, the largest internet stock held by Berkshire Hathaway,...