The document summarizes the Black-Scholes equation, which provides a theoretical estimate for the price of European-style options. It describes the assumptions of the model, including constant riskless interest rates and stock price behavior following geometric Brownian motion. The derivation shows how forming a hedged portfolio eliminates uncertainty and leads to the Black-Scholes PDE. Transforming this into a heat equation allows the value of a European call option to be expressed in terms of the standard normal distribution.
Black-Scholes Model
Introduction
Key terms
Black Scholes Formula
Black Scholes Calculators
Wiener Process
Stock Pricing Model
Ito’s Lemma
Derivation of Black-Sholes Equation
Solution of Black-Scholes Equation
Maple solution of Black Scholes Equation
Figures
Option Pricing with Transaction costs and Stochastic Volatility
Introduction
Key terms
Stochastic Volatility Model
Quanto Option Pricing Model
Key Terms
Pricing Quantos in Excel
Black-Scholes Equation of Quanto options
Solution of Quanto options Black-Scholes Equation
A Comparison of Option Pricing ModelsEkrem Kilic 11.0.docxevonnehoggarth79783
A Comparison of Option Pricing Models
Ekrem Kilic �
11.01.2005
Abstract
Modeling a nonlinear pay o¤ generating instrument is a challenging work. The mod-
els that are commonly used for pricing derivative might divided into two main classes;
analytical and iterative models. This paper compares the Black-Scholes and binomial
tree models.
Keywords: Derivatives, Option Pricing, Black-Scholes,Binomial Tree
JEL classi�cation:
1. Introduction
Modeling a nonlinear pay o¤ generating instrument is a challenging work to
handle. If we consider a European option on a stock, what we are trying to do is
estimating a conditional expected future value. In other words we need to �nd out
the following question: what would be the expected future value of a stock given
that the price is higher than the option�s strike price? If we �nd that value we can
easily get the expected value of the option. For the case of the American options
the model need to be more complex. For this case, we need to check the path that
we reached some future value of the stock, because the buyer of the option might
exercise the option at any time until the maturity date.
To solve the problem that summarized above, �rst we need to model the move-
ment of the stock during the pricing period. The common model for the change
of the stock prices is Geometric Brownian Motion. Secondly, the future outcomes
of the model might have the same risk. Risk Neutrality assumption provides that.
By constructing a portfolio of derivative and share makes possible to have same
�E-mail address: [email protected]
A Comparison of Option Pricing Models 2
outcome with canceling out the source of the uncertainty.
The models that are commonly used for pricing derivative might divided into
two main classes. The �rst classes is the models that provide analytical formulae to
get the risk neutral price under some reasonable assumptions. The Black-Scholes
formula is in this group. The formulae that we have to price the derivatives
are quite limited. The reason is that we are trying to solve a partial di¤erential
equation at the end of the day. But mathematician could manage to solve just
someof thepartialdi¤erential equations; therefore, weareboundedto some limited
solutions.
The second classes models provide numerical procedures to price the option.
Binomial trees that �rst suggested by Cox, Ross and Rubenstein, is in this group,
because we need to follow an iterative procedure called �backwards induction�to
get option price. Monte Carlo simulations are another type of models that belongs
to this class. Also �nite di¤erencing methods are a type of numerical class.
In this paper, �rst I will introduce Black-Scholes and Binomial Tree models for
option pricing. Second I will introduce the volatility estimation methods I used
and calculate some option prices to compare models. Finally I will conclude.
2. Option Pricing Models
2.1. Black-Scholes Model
Black-Scholes formula s.
Black-Scholes Model
Introduction
Key terms
Black Scholes Formula
Black Scholes Calculators
Wiener Process
Stock Pricing Model
Ito’s Lemma
Derivation of Black-Sholes Equation
Solution of Black-Scholes Equation
Maple solution of Black Scholes Equation
Figures
Option Pricing with Transaction costs and Stochastic Volatility
Introduction
Key terms
Stochastic Volatility Model
Quanto Option Pricing Model
Key Terms
Pricing Quantos in Excel
Black-Scholes Equation of Quanto options
Solution of Quanto options Black-Scholes Equation
A Comparison of Option Pricing ModelsEkrem Kilic 11.0.docxevonnehoggarth79783
A Comparison of Option Pricing Models
Ekrem Kilic �
11.01.2005
Abstract
Modeling a nonlinear pay o¤ generating instrument is a challenging work. The mod-
els that are commonly used for pricing derivative might divided into two main classes;
analytical and iterative models. This paper compares the Black-Scholes and binomial
tree models.
Keywords: Derivatives, Option Pricing, Black-Scholes,Binomial Tree
JEL classi�cation:
1. Introduction
Modeling a nonlinear pay o¤ generating instrument is a challenging work to
handle. If we consider a European option on a stock, what we are trying to do is
estimating a conditional expected future value. In other words we need to �nd out
the following question: what would be the expected future value of a stock given
that the price is higher than the option�s strike price? If we �nd that value we can
easily get the expected value of the option. For the case of the American options
the model need to be more complex. For this case, we need to check the path that
we reached some future value of the stock, because the buyer of the option might
exercise the option at any time until the maturity date.
To solve the problem that summarized above, �rst we need to model the move-
ment of the stock during the pricing period. The common model for the change
of the stock prices is Geometric Brownian Motion. Secondly, the future outcomes
of the model might have the same risk. Risk Neutrality assumption provides that.
By constructing a portfolio of derivative and share makes possible to have same
�E-mail address: [email protected]
A Comparison of Option Pricing Models 2
outcome with canceling out the source of the uncertainty.
The models that are commonly used for pricing derivative might divided into
two main classes. The �rst classes is the models that provide analytical formulae to
get the risk neutral price under some reasonable assumptions. The Black-Scholes
formula is in this group. The formulae that we have to price the derivatives
are quite limited. The reason is that we are trying to solve a partial di¤erential
equation at the end of the day. But mathematician could manage to solve just
someof thepartialdi¤erential equations; therefore, weareboundedto some limited
solutions.
The second classes models provide numerical procedures to price the option.
Binomial trees that �rst suggested by Cox, Ross and Rubenstein, is in this group,
because we need to follow an iterative procedure called �backwards induction�to
get option price. Monte Carlo simulations are another type of models that belongs
to this class. Also �nite di¤erencing methods are a type of numerical class.
In this paper, �rst I will introduce Black-Scholes and Binomial Tree models for
option pricing. Second I will introduce the volatility estimation methods I used
and calculate some option prices to compare models. Finally I will conclude.
2. Option Pricing Models
2.1. Black-Scholes Model
Black-Scholes formula s.
Option Pricing ModelsThe Black-Scholes-Merton Model a.docxhopeaustin33688
Option Pricing Models:
The Black-Scholes-Merton Model aka Black – Scholes Option Pricing Model (BSOPM)
*
Important ConceptsThe Black-Scholes-Merton option pricing modelThe relationship of the model’s inputs to the option priceHow to adjust the model to accommodate dividends and put optionsThe concepts of historical and implied volatilityHedging an option position
*
The Black-Scholes-Merton FormulaBrownian motion and the works of Einstein, Bachelier, Wiener, ItôBlack, Scholes, Merton and the 1997 Nobel PrizeRecall the binomial model and the notion of a dynamic risk-free hedge in which no arbitrage opportunities are available.The binomial model is in discrete time. As you decrease the length of each time step, it converges to continuous time.
*
Some Assumptions of the ModelStock prices behave randomly and evolve according to a lognormal distribution. The risk-free rate and volatility of the log return on the stock are constant throughout the option’s lifeThere are no taxes or transaction costsThe stock pays no dividendsThe options are European
*
BackgroundPut and call prices are affected byPrice of underlying assetOption’s exercise priceLength of time until expiration of optionVolatility of underlying assetRisk-free interest rateCash flows such as dividendsPremiums can be derived from the above factors
*
Option ValuationThe value of an option is the present value of its intrinsic value at expiration. Unfortunately, there is no way to know this intrinsic value in advance. Black & Scholes developed a formula to price call options This most famous option pricing model is the often referred to as “Black-Scholes OPM”.
*
Note: There are many other OPMs in existence. These are mostly variations on the Black-Scholes model, and the Black-Scholes model is the most used.
The Concepts Underlying Black-ScholesThe option price and the stock price depend on the same underlying source of uncertaintyWe can form a portfolio consisting of the stock and the option which eliminates this source of uncertaintyThe portfolio is instantaneously riskless and must instantaneously earn the risk-free rate
*
Option Valuation VariablesThere are five variables in the Black-Scholes OPM (in order of importance):Price of underlying securityStrike priceAnnual volatility (standard deviation)Time to expirationRisk-free interest rate
*
Option Valuation Variables: Underlying PriceThe current price of the underlying security is the most important variable.For a call option, the higher the price of the underlying security, the higher the value of the call.For a put option, the lower the price of the underlying security, the higher the value of the put.
*
Option Valuation Variables: Strike PriceThe strike (exercise) price is fixed for the life of the option, but every underlying security has several strikes for each expiration monthFor a call, the higher the strike price, the lower the value of the call.For a put, the higher t.
A Quantitative Case Study on the Impact of Transaction Cost in High-Frequency...Cognizant
High-frequency trading (HFT) aims to achieve a small positive alpha on every trade, so transaction costs determine whether the algorithm is profitable. We offer a case study demonstrating the relationship between alphas, transaction costs, and profitability.
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The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
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In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Option Pricing ModelsThe Black-Scholes-Merton Model a.docxhopeaustin33688
Option Pricing Models:
The Black-Scholes-Merton Model aka Black – Scholes Option Pricing Model (BSOPM)
*
Important ConceptsThe Black-Scholes-Merton option pricing modelThe relationship of the model’s inputs to the option priceHow to adjust the model to accommodate dividends and put optionsThe concepts of historical and implied volatilityHedging an option position
*
The Black-Scholes-Merton FormulaBrownian motion and the works of Einstein, Bachelier, Wiener, ItôBlack, Scholes, Merton and the 1997 Nobel PrizeRecall the binomial model and the notion of a dynamic risk-free hedge in which no arbitrage opportunities are available.The binomial model is in discrete time. As you decrease the length of each time step, it converges to continuous time.
*
Some Assumptions of the ModelStock prices behave randomly and evolve according to a lognormal distribution. The risk-free rate and volatility of the log return on the stock are constant throughout the option’s lifeThere are no taxes or transaction costsThe stock pays no dividendsThe options are European
*
BackgroundPut and call prices are affected byPrice of underlying assetOption’s exercise priceLength of time until expiration of optionVolatility of underlying assetRisk-free interest rateCash flows such as dividendsPremiums can be derived from the above factors
*
Option ValuationThe value of an option is the present value of its intrinsic value at expiration. Unfortunately, there is no way to know this intrinsic value in advance. Black & Scholes developed a formula to price call options This most famous option pricing model is the often referred to as “Black-Scholes OPM”.
*
Note: There are many other OPMs in existence. These are mostly variations on the Black-Scholes model, and the Black-Scholes model is the most used.
The Concepts Underlying Black-ScholesThe option price and the stock price depend on the same underlying source of uncertaintyWe can form a portfolio consisting of the stock and the option which eliminates this source of uncertaintyThe portfolio is instantaneously riskless and must instantaneously earn the risk-free rate
*
Option Valuation VariablesThere are five variables in the Black-Scholes OPM (in order of importance):Price of underlying securityStrike priceAnnual volatility (standard deviation)Time to expirationRisk-free interest rate
*
Option Valuation Variables: Underlying PriceThe current price of the underlying security is the most important variable.For a call option, the higher the price of the underlying security, the higher the value of the call.For a put option, the lower the price of the underlying security, the higher the value of the put.
*
Option Valuation Variables: Strike PriceThe strike (exercise) price is fixed for the life of the option, but every underlying security has several strikes for each expiration monthFor a call, the higher the strike price, the lower the value of the call.For a put, the higher t.
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2. Few financial terms
› Options
Options are financial contracts that offer the buyer the
opportunity to buy or sell- depending on the type of contract
they hold-the underlying asset. The holder is not required to
buy or sell the asset if they choose not to.
European option is a kind of a option which comes with
expiration date and can’t be exercised before that date.
3.
4. Difference between stock and strike price
STOCK PRICE
› Current price of the
underlying asset
STRIKE PRICE
› The fixed price at which buyer of the
option can exercise his option. It
always remain constant throughout the
life of contract period.
Example of European Option-XYZ Limited
› Option price: ₹1
› Strike price: ₹30
› Stock (spot) price: ₹27.59
› Option price: ₹1
› Strike price: ₹30
› Stock (spot) price: ₹35
5. › Stochastic process: It is process involving many random
variables depending on a single variable (time).
› Brownian motion: It is a simple continuous stochastic
process that is used widely in finance used for modelling
random behavior that evolves over time. For example
fluctuation in stock prices.
› Portfolio: It refers to combination of financial assets such
as bonds, stocks and cash. Can be held individuals or
managed by financial professionals.
› Itô’s Lemma: It is an identity used in Itô’s Calculus to find
the differential of time dependent functions stochastic
processes.
› Itô’s Calculus: Methods used to solve Brownian motion.
6. Definition
› Black–Scholes model is a mathematical model for the
dynamics of a financial market containing financial
contracts or derivatives. From the partial differential
equation in the model, known as the Black–Scholes
equation, one can deduce the Black–Scholes formula,
which gives a theoretical estimate of the price of European-
style options and shows that the option has a unique price
regardless of the risk of the security and its expected
return.
7. Derivation
› Assumptions:
• Constant riskless interest rate,
• No transaction costs,
• Any no. of stocks can be bought,
• Option is of European style.
8. Notations
› S = stock price
› t = time
› V = (S,t)……….option price
› Portfolio: 1 option,
𝝏𝑽
𝝏𝑺
no. of shares
• Value of portfolio = 𝑷 = −𝑽 +
𝝏𝑽
𝝏𝑺
𝑺
• Change in value of portfolio: 𝚫𝑷 = −𝚫𝑽 +
𝝏𝑽
𝝏𝑺
𝚫𝑺
9. › Per the model assumptions above, the price of the
underlying asset (typically a stock) follows a geometric
Brownian motion. That is
𝒅𝑺
𝑺
= µ 𝒅𝒕 + 𝝈 𝒅𝑾
where W is a stochastic variable (Brownian motion). Note
that W, and consequently its minute increment dW,
represents the only source of uncertainty in the price history
of the stock.
› The payoff of an option 𝑽(𝑺, 𝒕) at maturity is known. To find
its value at an earlier time we need to know how 𝑽 evolves
as a function of 𝑺 and 𝒕. By Itô's lemma for two variables
we have
10. 𝒅𝑽 =
𝝏𝒗
𝝏𝒕
+ 𝝁𝑺
𝝏𝑽
𝝏𝑺
+
𝟏
𝟐
𝝈𝟐𝑺𝟐
𝝏𝟐𝑽
𝝏𝑺𝟐
𝒅𝒕 + 𝝈𝑺
𝝏𝑽
𝝏𝑺
𝒅𝑾
Now consider a certain portfolio, consisting one option and
𝝏𝑽
𝝏𝑺
shares at time 𝒕. The value of these holdings is
𝑷 = −𝑽 +
𝝏𝑽
𝝏𝑺
𝑺
Over the time period 𝒕, 𝒕 + 𝜟𝒕 , the total profit or loss from
changes in the values of the holdings is
𝚫𝑷 = −𝚫𝑽 +
𝝏𝑽
𝝏𝑺
𝚫𝑺
11. Now discretize the equations for dS/S and dV by replacing
differentials with deltas:
𝚫𝑺 = µ𝑺𝚫𝒕 + 𝝈𝑺𝚫𝑾
𝚫𝑽 =
𝝏𝑽
𝝏𝒕
+ 𝝁𝑺
𝝏𝑽
𝝏𝑺
+
𝟏
𝟐
𝝈𝟐
𝑺𝟐
𝝏𝟐𝑽
𝝏𝑺𝟐
𝚫𝒕 + 𝝈𝑺
𝝏𝑽
𝝏𝑺
𝚫𝑾
and appropriately substitute them into the expression
𝚫𝑷 = −𝚫𝑽 +
𝝏𝑽
𝝏𝑺
𝚫𝑺
We get,
𝚫𝑷 = −
𝝏𝑽
𝝏𝒕
+ 𝝁𝑺
𝝏𝑽
𝝏𝑺
+
𝟏
𝟐
𝝈𝟐𝑺𝟐 𝝏𝟐𝑽
𝝏𝑺𝟐 𝚫𝒕 − 𝝈𝑺
𝝏𝑽
𝝏𝑺
𝚫𝑾 +
𝝏𝑽
𝝏𝑺
(µ𝑺𝚫𝒕 +
12. 𝚫𝑷 = −
𝝏𝑽
𝝏𝒕
+
𝟏
𝟐
𝝈𝟐
𝑺𝟐
𝝏𝟐𝑽
𝝏𝑺𝟐
𝚫𝒕
Notice that the term 𝚫𝑾 has vanished. Thus uncertainty has been
eliminated and the portfolio is effectively riskless. The rate of return on
this portfolio must be equal to the rate of return on any other riskless
instrument. Now assuming the risk-free rate of return is 𝒓 we must
have over the time period 𝒕, 𝒕 + 𝜟𝒕
𝚫𝑷 = 𝒓𝑷𝚫𝒕
−
𝝏𝑽
𝝏𝒕
+
𝟏
𝟐
𝝈𝟐𝑺𝟐
𝝏𝟐
𝑽
𝝏𝑺𝟐
𝚫𝒕 = 𝒓 −𝑽 +
𝝏𝑽
𝝏𝑺
𝑺 𝚫𝒕
Simplifying, we arrive at the celebrated Black–Scholes partial
differential equation:
𝝏𝑽
𝝏𝒕
+
𝟏
𝟐
𝝈𝟐𝑺𝟐
𝝏𝟐𝑽
𝝏𝑺𝟐
+ 𝒓
𝝏𝑽
𝝏𝑺
𝑺 − 𝒓𝑽 = 𝟎
13. Transformation Into Heat Equation
› General form of the heat equation:
𝝏𝒖
𝝏𝒕
= α
𝝏𝟐
𝒖
𝝏𝒙𝟐
+
𝝏𝟐
𝒖
𝝏𝒚𝟐
+
𝝏𝟐
𝒖
𝝏𝒛𝟐
α is constant of Diffusivity
14. Changes To Make In Variables
› To get the time running in the right direction, you can define a new
variable 𝜏 = 𝑇 − 𝑡. Then 𝑡 = 𝑇 will correspond to 𝜏=0.
› Since it was
𝑑𝑆
𝑆
= 𝑑(𝑙𝑜𝑔𝑆) that satisfied the standard Brownian motion
that leads to the usual heat equation, it makes sense to define a new
variable 𝑥 = log 𝑆 (natural logarithm). This should get rid of the
appearances of the independent variable 𝑆 or 𝑥 multiplying the various
derivatives.
› A substitution of the form 𝑢 = 𝑒𝛼𝑥+𝛽𝜏𝑉 can be used to get rid of unwanted
constants and first order derivatives.
21. › Now with previous result we will prove that value of European call
option with strike price 𝐸 and expiry time 𝑇 is given by:
𝑉 𝑆, 𝑡 = 𝑆𝐹 𝐴+ − 𝐸𝑒−𝑟 𝑇−𝑡 𝐹 𝐴−
Where 𝐹 is function of standard normal distribution
and the constants 𝐴± are given by