Using the Greeks we can understand what will happen to options prices when the market changes What are the Greeks The Greeks are values that describe the sensitivity to change in the price of the Option relative to the factors that drive an options price ID: 808018
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Slide1
Slide2Fundamental Concept
Option prices don’t move in a linear way compared to their underlying stocks and this makes them complex to understand.
Using the Greeks we can understand what will happen to options prices when the market changes.
Slide3What are the Greeks?
The Greeks are values that describe the sensitivity to change in the price of the Option relative to the factors that drive an option’s price.
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Slide4Price factors and their Greeks
Underlying price relative to the strike
Delta
Perceived risks to the option
Implied Volatility
Vega
Time to expiration
Theta
Slide5Knowledge is Power(and other clichés)
Using the Greeks we can create what-if style analysis that helps us understand the trade.
By understanding the Greeks you can change the way your trade works so it better fits your needs.
Slide6What are these Greeks?
The main Greeks we care about are;
Delta – The change in price of the option relative to a $1 change in the underlying asset price
Vega – The change in the price of the Option relative to a 1% change in the Implied Volatility
Theta – The amount the option price will change over the next one day period as the option gets closer to the expiration date
An Important Second Order Greek
Gamma – The rate of change in Delta relative to the change in the underlying asset price
A little more complex, but very handy for understanding trade risks
Slide8The Rest of the Greeks - 1(per Wikipedia)
Rho
,
measures sensitivity to the interest rate: it is the derivative of the option value with respect to the risk free interest rate (for the relevant outstanding term
).
Lambda
,
omega,
or
elasticity
is the percentage change in option value per percentage change in the underlying price, a measure of leverage, sometimes called gearing
.
Vanna
,
also
referred to as
DvegaDspot
and
DdeltaDvol
,
is a second order derivative of the option value, once to the underlying spot price and once to volatility. It is mathematically equivalent to
DdeltaDvol
, the sensitivity of the option delta with respect to change in volatility; or alternatively, the partial of
vega
with respect to the underlying instrument's price.
Vanna
can be a useful sensitivity to monitor when maintaining a delta- or
vega
-hedged portfolio as
vanna
will help the trader to anticipate changes to the effectiveness of a delta-hedge as volatility changes or the effectiveness of a
vega
-hedge against change in the underlying spot price
.
Vomma
,
Volga
,
Vega
Convexity
,
Vega
gamma
or
dTau
/
dVol
measures second order sensitivity to volatility.
Vomma
is the second derivative of the option value with respect to the volatility, or, stated another way,
vomma
measures the rate of change to
vega
as volatility changes. With positive
vomma
, a position will become long
vega
as implied volatility increases and short
vega
as it decreases, which can be scalped in a way analogous to long gamma. And an initially
vega
-neutral, long-
vomma
position can be constructed from ratios of options at different strikes.
Vomma
is positive for options away from the money, and initially increases with distance from the money (but drops off as
vega
drops off). (Specifically,
vomma
is positive where the usual d1 and d2 terms are of the same sign, which is true when d2 < 0 or d1 > 0.)
Slide9The Rest of the Greeks - 2(per Wikipedia)
Charm
or
delta decay
, measures the instantaneous rate of change of delta over the passage of time. Charm has also been called
DdeltaDtime
.
Charm can be an important Greek to measure/monitor when delta-hedging a position over a weekend. Charm is a second-order derivative of the option value, once to price and once to the passage of time. It is also then the derivative of
theta
with respect to the underlying's
price. The
mathematical result of the formula for charm
is
expressed in delta/year. It is often useful to divide this by the number of days per year to arrive at the delta decay per day. This use is fairly accurate when the number of days remaining until option expiration is large. When an option nears expiration, charm itself may change quickly, rendering full day estimates of delta decay inaccurate
.
DvegaDtime
,
measures the rate of change in the
vega
with respect to the passage of time.
DvegaDtime
is the second derivative of the value function; once to volatility and once to
time. It
is common practice to divide the mathematical result of
DvegaDtime
by 100 times the number of days per year to reduce the value to the percentage change in
vega
per one day
.
Vera
measures the rate of change in rho with respect to volatility. Vera is the second derivative of the value function; once to volatility and once to interest rate. Vera can be used to assess the impact of volatility change on rho-hedging
.
Color
,
gamma decay
or
DgammaDtime
measures
the rate of change of gamma over the passage of time. Color is a third-order derivative of the option value, twice to underlying asset price and once to time. Color can be an important sensitivity to monitor when maintaining a gamma-hedged portfolio as it can help the trader to anticipate the effectiveness of the hedge as time
passes. The
mathematical result of the formula for color
is
expressed in gamma/year. It is often useful to divide this by the number of days per year to arrive at the change in gamma per day. This use is fairly accurate when the number of days remaining until option expiration is large. When an option nears expiration, color itself may change quickly, rendering full day estimates of gamma change inaccurate.
Slide10The Rest of the Greeks - 3(per Wikipedia)
Speed
measures the rate of change in Gamma with respect to changes in the underlying price. This is also sometimes referred to as
the gamma of the
gamma
or
DgammaDspot
.
Speed
is the third derivative of the value function with respect to the underlying spot price. Speed can be important to monitor when delta-hedging or gamma-hedging a portfolio
.
Ultima
measures the sensitivity of the option
vomma
with respect to change in volatility.
Ultima
has also been referred to as
DvommaDvol
.
]
Ultima
is a third-order derivative of the option value to volatility
.
Zomma
measures the rate of change of gamma with respect to changes in volatility.
Zomma
has also been referred to as
DgammaDvol
.
Zomma
is the third derivative of the option value, twice to underlying asset price and once to volatility.
Zomma
can be a useful sensitivity to monitor when maintaining a gamma-hedged portfolio as
zomma
will help the trader to anticipate changes to the effectiveness of the hedge as volatility changes.
Slide11Are these useful?
To us, probably not
All Greeks are estimates and can vary based on the estimation method used
Second order Greeks are estimates based on estimates and can be very imprecise
True Value - If you happen to be in certain bars in Chicago then knowing what these are may win you a free drink in a trivia contest
Slide12Is Implied Volatility a Greek?
Technically Implied Volatility is not a Greek, it is a measurement of risk and similar to time and underlying price.
Slide13The Good Stuff
Delta,
Vega and Theta
Extremely important for analyzing and constructing Trades
Should be available on all options trading platforms
Slide14Delta
Delta is a dollar value that says
“At the current underlying price, if the underlying goes up by $1 the Option Price will change by X”
Delta will be a Positive value between $0 and $1 for Call Options
Delta will be a Negative value between $0 and -$1 for Put options
Slide15Notes on Delta
If the Price of the Underlying Asset is At-The-Money then the Delta for the Option is Roughly $.50
This is due to the fact there is an equal chance (50/50) the stock will go down as it will go up
Delta is often used as an estimate of the probability that a stock will close above a strike price at expiration
A delta of $.15 is assumed to mean that there is a 15% chance that the stock will close at or beyond that strike price at the expiration of the Option
Please Note – this is Ok for a rough estimate, but has MANY flaws and can be quite inaccurate
Delta changes with time if
the stock price is not equal to the Option Strike Price
If the Option is ITM then Delta will Increase as it approaches Expiration
If the Option is OTM then Delta will Decrease as it gets closer to Expiration
Slide16How does Delta Change - Calls?
Call Delta
As the underlying price increases so does Delta
Far OTM Deltas are close to $0.00
As the underlying price approaches the Option Strike the Delta goes to $.50
As the Option get further ITM the Delta approaches $1.00
The change in Delta gets faster as the Option nears expiration
Slide17How does Delta Change - Puts?
Put Delta
As the underlying price increases so does Delta
Far ITM Deltas are close to
-$
1.00
As the underlying price approaches the Option Strike the Delta goes to -$.50
As the Option get further OTM the Delta approaches $0.00
The change in Delta gets faster as the Option nears expiration
Slide18A few Facts on Delta
The Relationship between Call and Put Delta
The Call Delta(Positive) – the Put Delta(Negative) equals 1
Based on Put-Call Parity
If you combine a Long
C
all and a Short
P
ut it equals the movement of the underlying (Delta = 1) – a synthetic stock
Proxy for Probability
Many traders use Delta as a quick estimate of the probability that the option will expire at or beyond that price level
Good for a rough estimate, but it can be misleading
Slide19How do we Use Delta
By summing up the Deltas of a position we can see how the trade will react to price movement
By analyzing the Deltas at different price levels we can see where the trade will change price quickly
Delta can also be thought of as the percentage of a lot of stock
A Delta of .15 = 15% of 100 shares
Using this we can directly hedge other positions
Slide20Vega
Vega is
a dollar value that says
“At
this time and at the
current
level of Implied Volatility,
if the
Implied Volatility Changes
by
1%
the Option Price will change by
$X
”
Vega is Positive for both Puts and Calls
An increase in IV will increase the value of both types of options
Calls and Puts have the same Vega
Slide21How does Vega Change?
Vega is at its Highest ATM
Vega goes down as the Option approaches expiration
This is due to the fact that there is less time for the volatility to affect the price of the stock and therefore change the price of the option
Slide22Facts about Vega
Vega is technically not a Greek letter
A fact that is the basis of many arguments in trader bars in Chicago
As IV increases Vega will increase
This can give you an acceleration effect on Volatility
Inverse is true also
Slide23Using Vega - 1
Vega shows us the effect of predicted or unpredicted changes in volatility on our positions
IV is one of the largest factors in an options price
By using Vega we can model what-if scenarios based on changes in volatility
Using Vega we can craft trades focused specifically on Implied
Volatility
Slide24Using Vega - 2
We can sum the total Vega exposure of our portfolio to estimate what will happen if the VIX goes up or down
We can put on trades with offsetting Vega to minimize our exposure to market wide changes in volatility
Slide25Theta
Theta is
a dollar value that says
“Between now and 1 day from now the price of this Call or Put will go down by $X”
Theta is Negative for
both
Long Puts
and
Long Calls
As the Options Expiration gets closer Theta becomes a larger negative value
This change accelerates the closer the Option gets to the Expiration
This effect is commonly referred to as Theta Erosion
Slide26How does Theta Change?
Theta is at its Highest ATM
Theta gets
larger as the Option approaches expiration
This is a side effect of there being less time for the Volatility of the stock to create a price change – therefore less risk and less risk premium
Slide27Using Theta
By estimating how long we expect to hold a trade we can use theta to determine how much time erosion the trade will experience
This is critical for deciding the direction of the trade (Credit/Debit) and the length of the trades we take
Theta is typically a positive for Credit Trades and a Negative for Debit Trades
Slide28Gamma
Gamma is a second derivative of the options price
Gamma tells us how quickly Delta will change based on the change in the underlying asset price
High Gamma is typically beneficial to Debit trades and low Gamma is beneficial to Credit trades
Gamma is a positive number for all Long Positions and Negative number for all short positions
Slide29Using Gamma
By analyzing Gamma we can identify Hot Spots – Places where our trades could quickly start to fail.
Gamma can be a good early warning device
Slide30Using the Greeks
By summing the Delta, Theta and Vega values across all the Options in our positions we can get a sense of what will happen when specific factors in the market change
What happens if IV goes up?
What happens if the underlying price changes?
What happens if time passes?