Evaluating Options Price Sensitivities
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1 Evaluating Options Price Sensitivities Options Pricing Presented by Patrick Ceresna, CMT CIM DMS Montréal Exchange Instructor
2 Disclaimer 2016 Bourse de Montréal Inc. This document is sent to you on a general information basis only. The information provided in this document, including financial and economic data, quotes and any analysis or interpretation thereof, is provided solely on an information basis and shall not be interpreted in any jurisdiction as an advice or a recommendation with respect to the purchase or sale of any derivative instrument, underlying security or any other financial instrument or as a legal, accounting, tax, financial or investment advice. Bourse de Montréal Inc. recommends that you consult your own advisors in accordance with your needs. All references in this document to specifications, rules and obligations concerning a product are subject to the Rules and Policies of Bourse de Montréal Inc. and its clearinghouse, the Canadian Derivatives Clearing Corporation. Although care has been taken in the preparation of this document, Bourse de Montréal Inc. and/or its affiliates take no responsibility for errors or omissions and reserve the right to amend or review, at any time and without prior notice, the content of this document. Bourse de Montréal Inc., its affiliates, directors, officers, employees and agents will not be liable for damages, losses or costs incurred as a result of the use of any information appearing in this document. 2
3 How an Option s Price is Determined 3
4 How an Option s Price is Determined Options are priced based on probabilities. These probabilities are calculated using different pricing formulas. The most well known being the Black Scholes Pricing Model.
5 5 Variables in Options Pricing
6 Variables in Option Pricing Option pricing models consider the following variables: 1. Price 2. Strike 3. Time 4. Volatility 5. Dividend 6. Interest
7 Price Option pricing models consider the following variables: 1. Price 2. Strike 3. Time 4. Volatility 5. Dividend 6. Interest The simplest variable to understand is the price. As the price of the stock increases or decreases, the option will change in value.
8 Strike Option pricing models consider the following variables: 1. Price 2. Strike 3. Time 4. Volatility 5. Dividend 6. Interest The strike price is the price at which option is exercisable. The closer the stock is to the strike, the higher the option value.
9 Time Option pricing models consider the following variables: 1. Price 2. Strike 3. Time 4. Volatility 5. Dividend 6. Interest The more time until expiration, the more expensive is the option.
10 Volatility Option pricing models consider the following variables: 1. Price 2. Strike 3. Time 4. Volatility 5. Dividend 6. Interest The more volatile a stock is, the more expensive the premium will be to reflect the risk of a sudden rapid price change.
11 Dividends Option pricing models consider the following variables: 1. Price 2. Strike 3. Time 4. Volatility 5. Dividend 6. Interest All known dividends are discounted from the price of the option.
12 Interest Option pricing models consider the following variables: 1. Price 2. Strike 3. Time 4. Volatility 5. Dividend 6. Interest The risk free rate of interest is factored into the price of an option.
13 13 Option Greeks
14 Option Greeks The Greeks measure the change in value of an option due to a change in one of the pricing variables. Professional traders and market makers use the Greeks to create hedged positions. Investors use them to understand how a change in one of the variables will influence the option price.
15 Variables in Options Pricing The Greeks: 1. Delta 2. Gamma 3. Vega 4. Theta 5. Rho
16 16 Delta
17 Delta (Change in Price) Delta is a mathematical measure used to show the change in an option price relative to a change in the price of the underlying security.
18 Delta A delta of Option price will increase $0.90 for every $1.00 in the increase in the stock. A delta of Option price will increase $0.45 for every $1.00 in the increase in the stock.
19 Delta Example Stock price: $50.00 Option strike: $50.00 Time: 30 days Call option price: $2.32 Delta: Stock price: $51.00 Option strike: $50.00 Option price: $2.85 *Assuming all other variables stay the same Stock price: $49.00 Option strike: $50.00 Option price: $1.79
20 Delta Stock vs. Option XIU trading at $20.00 a share XIU 1mth $20.00 call at a delta of 0.50 Position Notional Position Size Delta Exposure 1000 shares $20,000 $20, x 1/mth $20 calls $20,000 $10, x 1/mth $20 calls $40,000 $20,000
21 Delta As a call option becomes deeper in-the-money, the delta will approach 1. Call options always have a positive delta. As a put option becomes deeper in-the-money, the delta will approach -1. Put options always have a negative delta.
22 Delta on Calls ishares S&P/TSX60 ETF (XIU) $21.45 (September 1, 2016)
23 Delta on Puts ishares S&P/TSX60 ETF (XIU) $21.45 (September 1, 2016)
24 24 Delta and Probabilities
25 Implied Volatility Variable Implied Volatility is the probability adjustment within the option pricing model. It creates a probabilities distribution curve.
26 Understanding the Anticipated Range ABC stock is trading at $ The implied volatility is 10%. 10% of $50.00 is $5.00.
27 Implied Volatility and Probability Range ABC stock at $50.00 with 10% Implied Volatility $ % $55 $35 $40 $45 $50 $55 $60 $65
28 Call Options Chain Plot Time Value
29 The Probability Distribution 50% Probabilities 50% Probabilities Lower Higher Start Price
30 1 Standard Deviation 16% Probability 68% Range 16% Probability
31 Probabilities of an OTM Call Stock at $30.00 Long $34.00 call option 84% Probability of Expiring 16% Probability
32 Delta and Probabilities Many traders observe delta as an approximation of the probabilities of ending in the money. Delta of 0.90 is pricing a 90% of exercise. Delta of 0.50 is pricing a 50% of exercise. Delta of 0.10 is pricing a 10% of exercise.
33 Delta and Probabilities ishares S&P/TSX60 ETF (XIU) $21.45 (September 1, 2016) 21.50
34 Delta and Probabilities ishares S&P/TSX60 ETF (XIU) $21.45 (September 1, 2016) 20.00
35 Delta and Probabilities ishares S&P/TSX60 ETF (XIU) $21.45 (September 1, 2016) 22.50
36 36 Gamma
37 Gamma (Change in Delta) Gamma is the rate of change in the delta. It is the second derivative (delta of the delta).
38 Gamma (Change in Delta) Simple relationship the shorter the time till expiration, the higher the gamma sensitivity. It plays an important factor for professional traders who are using options to delta hedge their portfolios and market makers trying to achieve a delta neutral exposure.
39 Gamma (Change in Delta) ishares S&P/TSX60 ETF (XIU) $21.45 (September 1, 2016) Gamma
40 Gamma and Duration ishares S&P/TSX60 ETF (XIU) $21.45 (September 1, 2016) Gamma
41 Gamma and Position Delta Exposure XIU trading at $20.00 a share XIU 1 month $20.00 call at a delta of XIU 6 month $20.00 call at a delta of Position Notional Position Size Position Delta exposure $20.00 Position Delta exposure at $21.00 Position Delta exposure at $ shares $20,000 $20,000 $20,000 $20,000 Gamma Higher on 1mth 10 x 1/mth $20 calls $20,000 $10,420 $16,452 $19, x 6/mth $20 calls $20,000 $10,820 $14,140 $16,670 Gamma Lower on 6mth
42 42 Vega
43 Vega (Volatility) Vega is a measure of change in an option price relative to a 1 percent change in implied volatility. Vega is not bound to the 0 to 1 range like other Greeks. Vega will always be higher on higher priced options.
44 Expanding Implied Volatility The environment changes anticipating a period of high volatility. The volatility will expand adjusting the price of options. The rate of change measure called the Vega.
45 Expanding Implied Volatility 68% Range Original SD Range
46 Contracting Implied Volatility The environment changes anticipating a period of less volatility. The volatility will contract adjusting the price of options. Rate of change measure called the Vega.
47 Contracting Implied Volatility 68% Range Original SD Range
48 Vega Example Stock Price: $50.00 (remains unchanged) Strike Price: $50.00 Time: 30 days Option Price: $2.06 Implied Volatility: 35% Vega: Implied Volatility: 36% Vega: Option Price: $2.12 *Assuming all other variables stay the same Implied Volatility: 34% Vega: Option Price: $2.00
49 Vega (Volatility) Vega only influences time value (not intrinsic value). Therefore at-the-money options will have the largest Vega influence.
50 Vega XIU trading at $21.50 a share (September 1, 2016) Vega
51 51 Theta
52 Theta (Time) Theta is the measure of change in an option price relative to a change in the time until expiration. Every day that passes, an option loses time value. Theta measures the rate of that time decay.
53 Theta Example Stock price : $50.00 (remains unchanged) Strike price: $50.00 Option price: $2.06 Time: 30 Days Theta: Time: 29 Days Theta: Option price: 2.02 *Assuming all other variables stay the same
54 Theta (Time) Theta only influences time value (not intrinsic value). Therefore Theta is highest at-the-money.
55 Theta XIU trading at $21.50 a share Theta
56 Time Decay and Weekends Time does decay over weekends. If this was not discounted into the price, it would create an easy way for traders to profit. Market makers generally do not want to get stuck with theta losses over the weekend. Therefore options often are discounted to move inventory.
57 57 Rho
58 Rho (Interest Rates) Rho is the measure of change in an option price relative to a change in the risk-free rate of interest.
59 Rho Example Stock price: $50.00 (remains unchanged) Strike price: $50.00 Time: 30 days Option price: $2.06 Interest Rates: 3.00% Rho: Interest Rates: 4.00% Rho: Option Price: $2.08 *Assuming all other variables stay the same Interest Rates: 2.00% Rho: Option Price: $2.04
60 Rho and ZIRP/NIRP Zero bound (or negative bound) interest rates marginalize the influence in options pricing. It is likely Rho would once again play a significant role in a period of inflation.
61 Summary By learning the options Greeks, an investor will: Understand why an option is or is not moving in correlation with the underlying stock Construct strategies to offset the impact of certain pricing variables such as volatility and time depreciation Better manage performance expectations
62 62
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