SlideShare a Scribd company logo
1 of 16
Download to read offline
The convenience yield implied
 by quadratic volatility smiles
             (2001, 2002)
              2001, 2002)

         By Prof. Haim Reisman
              Presented by
     Yigal Ben Tal & David Feldman
Introduction

The Implied Convenience Yield (ICY)

The Moneyness, what is it?
    Moneyness,

The Implied Volatility and its Smile ☺

Black & Scholes Model representation
Basic definitions                 -      ICY

The Implied Convenience Yield of an illiquid option
is the rate of locally risk-less profit obtained from
                       risk-
hedging this option using other liquid at-the-money
                                       at-the-
(ATM) options as hedging instruments.
                         instruments.

(Prof. Haim Reisman, 06/2002)
Basic definitions - Moneyness

Let the function m(t,T,r,K,St) be a function of time,
maturity date, interest rate, strike price and underlying
price. Then the moneyness X=Xt at time t (0 ≤ t<T) is
price.                    X=X                 t<T)
generally defined as
                          X= m(t,T,r,K,St).
                             m(
The function m(·) is referred to as the moneyness
function.
function.

It is required that the moneyness to be increasing in K.

(Reinhold Hafner, 2004)
Basic definitions                  -      IV

The Implied Volatility is the value of the expected
volatility imputed from an option pricing model (such
as B&S), given the option price, the asset’s price,
the exercise price, the time to maturity, and the risk-
                                                  risk-
free interest rate.
              rate.

(OECD Economic Outlook Glossary)
Basic definitions                           -       IV
(the math definition)


If C = f(σ,·) is a theoretical value of an option, and
                                           option,
f(·) is a pricing model that depends on volatility σ
f(·)
plus         other   inputs,   and   f(·)
                                     f(·)    is   monotonically
increasing in σ, than if exists some inverse function
f   -1(·),
       ·),   such that σC* = f   -1(C*,·),
                                   (C*,·),      where C* is the
market price of an option, than the value σC* is the
implied volatility by the market price C*.
                                       C*.

(Reinhold Hafner, 2004)
Basic definitions                     -     Smile

For any fixed maturity date t (t ≤ T), the function
σ(K,·) of implied volatility against strike price K
  K,·)
(K>0) is called the volatility smile or just smile (for
 K>0
maturity T) at date t (0 ≤ t<T).
                           t<T)
IV
                                      X = Ke − r ∆t S t


                  ATM
       Call ITM            Call OTM
       Put OTM              Put ITM
                   1                  X
The economic assumptions

• The ICY of the liquid options is zero and
  one of the non-liquid options isn’t zero.
             non-                     zero.
• The stock index and European options are
  traded continuously.
         continuously.
• The interest rate is constant over the time.
                                         time.
• The ATM options are traded at no
  transaction costs, but those that are away
  from the money are traded with it.
                                  it.
• The paper analyzes a set of fix expiration
  options.
  options.
The mathematic assumptions

The Volatility Smile is quadratic with coefficients as
Ito's processes.
      processes.




        This is the IV of ATM option.
                              option.

        This is the slope of the volatility smile.
                                            smile.

        This is curvature measure of the smile.
                                         smile.

        This is moneyness.
                moneyness.
Black & Scholes Model changes

The standard formula for European Call option is:
        C ( t ,T , S t , K ) = S t N ( d 1 ) − Ke − r ∆t N ( d 2 )
         ln ( S t K ) + ( r + σ 2 2 ) ∆ t
 d1 =                                          , d 2 = d1 − σ           ∆t
                      σ ∆t
                        ∆t
The changed B&S formula, that used in the paper is:

    C ( t ,T , St , K ) = St  N ( d1 ) − XN ( d2 )  , X = Ke−r∆t St
                                                   
            − ln X       V ( t ,T , X ) ∆t
d1 =                   +                   , d2 = d1 −V ( t ,T , X ) ∆t
     V ( t ,T , X ) ∆t             2
The target of the paper

The ICY for non-liquid options may be explained as
            non-
a stream of the cash (received/paid) for the
discomfort of the option holding.
                         holding.

The non-liquid options may have non-zero ICY.
    non-                        non-     ICY.

The target of the article is a creation of an exact
formula for the ICY and for its hedging coefficients.
                                        coefficients.
The getting formula
                dC − rC dt = ∆ * ⋅ ( dS t − rS t dt ) +
                       A
                                                    B
                                     2
                                 + ∑ V ega * ⋅ ( d z k − α k d t ) +
                                           k
                                    k =0
                                                            C

                                 + ε ( t ,T , K ) dt
                                             D

Where µ is very complicated expression of the B&S model’s
partial derivatives.


∆* = ∆ − X ⋅ (Vega S )  z1 + 2 ( X − 1) z2  , Vega* = ( X − 1) ⋅ Vega
                                                                 k
                                                   k

                                          ∂                              1 ∂2
α0 ( X = 1) = µ Vega , α1 ( X = 1) =          ( µ Vega ) , α2 ( X = 1) =      2 (
                                                                                  µ Vega )
                                         ∂X                              2 ∂X
ε = µ − ∑αk ⋅ Vega* , ε ( t,T ,K ) = o ( ( X − 1)       )
         2
                                                    3
                  k
        k =0
The advantage remarks

• The    received     formulas   are     simple
  computation and depend just on currently
  observable parameters.
             parameters.

• There is no need for any historical data or
  some    arbitrary    assumption      on   the
  behavior of processes in the future.
                               future.
There are some question points

• The model has many different initial
 parameters (zk, cov(dw,dwk), ets.).
                 cov(         ets.


• There are many undefined expressions
 used by the author (cov(dw,dwk), coefficients of zk).
                     cov(


• Various        economic            and      mathematical
 assumptions, that are not clear (ICY,                   the

 formula of the hedging portfolio options).
The end.




Thank you for your attention!!!
The Moneyness properties

The moneyness function m(t,T,r,K,St) properties
are:
are:


    1. m ∈ C 2 [ 0 ,T ] × ( t ,T ] × » + × » + + × » + +
    2. lim m < ∞
        t →T

            ∂ 2m
    3. lim       <∞
       t →T ∂t 2

More Related Content

What's hot

Multiplicative Interaction Models in R
Multiplicative Interaction Models in RMultiplicative Interaction Models in R
Multiplicative Interaction Models in Rhtstatistics
 
Paris2012 session1
Paris2012 session1Paris2012 session1
Paris2012 session1Cdiscount
 
MCQMC 2020 talk: Importance Sampling for a Robust and Efficient Multilevel Mo...
MCQMC 2020 talk: Importance Sampling for a Robust and Efficient Multilevel Mo...MCQMC 2020 talk: Importance Sampling for a Robust and Efficient Multilevel Mo...
MCQMC 2020 talk: Importance Sampling for a Robust and Efficient Multilevel Mo...Chiheb Ben Hammouda
 
Derivatives pricing
Derivatives pricingDerivatives pricing
Derivatives pricingIlya Gikhman
 
Numerical smoothing and hierarchical approximations for efficient option pric...
Numerical smoothing and hierarchical approximations for efficient option pric...Numerical smoothing and hierarchical approximations for efficient option pric...
Numerical smoothing and hierarchical approximations for efficient option pric...Chiheb Ben Hammouda
 
gnm: a Package for Generalized Nonlinear Models
gnm: a Package for Generalized Nonlinear Modelsgnm: a Package for Generalized Nonlinear Models
gnm: a Package for Generalized Nonlinear Modelshtstatistics
 
Mesh Processing Course : Geodesic Sampling
Mesh Processing Course : Geodesic SamplingMesh Processing Course : Geodesic Sampling
Mesh Processing Course : Geodesic SamplingGabriel Peyré
 
Image Processing 3
Image Processing 3Image Processing 3
Image Processing 3jainatin
 
23 industrial engineering
23 industrial engineering23 industrial engineering
23 industrial engineeringmloeb825
 
Learning Sparse Representation
Learning Sparse RepresentationLearning Sparse Representation
Learning Sparse RepresentationGabriel Peyré
 
Reflect tsukuba524
Reflect tsukuba524Reflect tsukuba524
Reflect tsukuba524kazuhase2011
 
Introduction to inverse problems
Introduction to inverse problemsIntroduction to inverse problems
Introduction to inverse problemsDelta Pi Systems
 

What's hot (20)

Multiplicative Interaction Models in R
Multiplicative Interaction Models in RMultiplicative Interaction Models in R
Multiplicative Interaction Models in R
 
Paris2012 session1
Paris2012 session1Paris2012 session1
Paris2012 session1
 
MCQMC 2020 talk: Importance Sampling for a Robust and Efficient Multilevel Mo...
MCQMC 2020 talk: Importance Sampling for a Robust and Efficient Multilevel Mo...MCQMC 2020 talk: Importance Sampling for a Robust and Efficient Multilevel Mo...
MCQMC 2020 talk: Importance Sampling for a Robust and Efficient Multilevel Mo...
 
Holographic Cotton Tensor
Holographic Cotton TensorHolographic Cotton Tensor
Holographic Cotton Tensor
 
Derivatives pricing
Derivatives pricingDerivatives pricing
Derivatives pricing
 
Numerical smoothing and hierarchical approximations for efficient option pric...
Numerical smoothing and hierarchical approximations for efficient option pric...Numerical smoothing and hierarchical approximations for efficient option pric...
Numerical smoothing and hierarchical approximations for efficient option pric...
 
gnm: a Package for Generalized Nonlinear Models
gnm: a Package for Generalized Nonlinear Modelsgnm: a Package for Generalized Nonlinear Models
gnm: a Package for Generalized Nonlinear Models
 
Mesh Processing Course : Geodesic Sampling
Mesh Processing Course : Geodesic SamplingMesh Processing Course : Geodesic Sampling
Mesh Processing Course : Geodesic Sampling
 
Image Processing 3
Image Processing 3Image Processing 3
Image Processing 3
 
Cash Settled Interest Rate Swap Futures
Cash Settled Interest Rate Swap FuturesCash Settled Interest Rate Swap Futures
Cash Settled Interest Rate Swap Futures
 
23 industrial engineering
23 industrial engineering23 industrial engineering
23 industrial engineering
 
Cambridge
CambridgeCambridge
Cambridge
 
Assignment6
Assignment6Assignment6
Assignment6
 
Learning Sparse Representation
Learning Sparse RepresentationLearning Sparse Representation
Learning Sparse Representation
 
Reflect tsukuba524
Reflect tsukuba524Reflect tsukuba524
Reflect tsukuba524
 
CME Deliverable Interest Rate Swap Future
CME Deliverable Interest Rate Swap FutureCME Deliverable Interest Rate Swap Future
CME Deliverable Interest Rate Swap Future
 
YSC 2013
YSC 2013YSC 2013
YSC 2013
 
Introduction to inverse problems
Introduction to inverse problemsIntroduction to inverse problems
Introduction to inverse problems
 
report
reportreport
report
 
Basic concepts and how to measure price volatility
Basic concepts and how to measure price volatility Basic concepts and how to measure price volatility
Basic concepts and how to measure price volatility
 

Similar to The convenience yield implied by quadratic volatility smiles presentation [compatibility mode]

2003 Ames.Models
2003 Ames.Models2003 Ames.Models
2003 Ames.Modelspinchung
 
Local Volatility 1
Local Volatility 1Local Volatility 1
Local Volatility 1Ilya Gikhman
 
Option local and volatility 2 25 2014
Option local and volatility 2 25 2014Option local and volatility 2 25 2014
Option local and volatility 2 25 2014Ilya Gikhman
 
11.the comparative study of finite difference method and monte carlo method f...
11.the comparative study of finite difference method and monte carlo method f...11.the comparative study of finite difference method and monte carlo method f...
11.the comparative study of finite difference method and monte carlo method f...Alexander Decker
 
Case Study (All)
Case Study (All)Case Study (All)
Case Study (All)gudeyi
 
Option Pricing under non constant volatilityEcon 643 Fina.docx
Option Pricing under non constant volatilityEcon 643 Fina.docxOption Pricing under non constant volatilityEcon 643 Fina.docx
Option Pricing under non constant volatilityEcon 643 Fina.docxjacksnathalie
 
Options pricing using Lattice models
Options pricing using Lattice modelsOptions pricing using Lattice models
Options pricing using Lattice modelsQuasar Chunawala
 
Asset Prices in Segmented and Integrated Markets
Asset Prices in Segmented and Integrated MarketsAsset Prices in Segmented and Integrated Markets
Asset Prices in Segmented and Integrated Marketsguasoni
 
Dsp U Lec09 Iir Filter Design
Dsp U   Lec09 Iir Filter DesignDsp U   Lec09 Iir Filter Design
Dsp U Lec09 Iir Filter Designtaha25
 
Cosmin Crucean: Perturbative QED on de Sitter Universe.
Cosmin Crucean: Perturbative QED on de Sitter Universe.Cosmin Crucean: Perturbative QED on de Sitter Universe.
Cosmin Crucean: Perturbative QED on de Sitter Universe.SEENET-MTP
 
On estimating the integrated co volatility using
On estimating the integrated co volatility usingOn estimating the integrated co volatility using
On estimating the integrated co volatility usingkkislas
 
A T(1)-type theorem for entangled multilinear Calderon-Zygmund operators
A T(1)-type theorem for entangled multilinear Calderon-Zygmund operatorsA T(1)-type theorem for entangled multilinear Calderon-Zygmund operators
A T(1)-type theorem for entangled multilinear Calderon-Zygmund operatorsVjekoslavKovac1
 
Hull White model presentation
Hull White model presentationHull White model presentation
Hull White model presentationStephan Chang
 
Interactive Visualization in Human Time -StampedeCon 2015
Interactive Visualization in Human Time -StampedeCon 2015Interactive Visualization in Human Time -StampedeCon 2015
Interactive Visualization in Human Time -StampedeCon 2015StampedeCon
 
11.generalized and subset integrated autoregressive moving average bilinear t...
11.generalized and subset integrated autoregressive moving average bilinear t...11.generalized and subset integrated autoregressive moving average bilinear t...
11.generalized and subset integrated autoregressive moving average bilinear t...Alexander Decker
 
VHDL and Cordic Algorithim
VHDL and Cordic AlgorithimVHDL and Cordic Algorithim
VHDL and Cordic AlgorithimSubeer Rangra
 
NIPS2010: optimization algorithms in machine learning
NIPS2010: optimization algorithms in machine learningNIPS2010: optimization algorithms in machine learning
NIPS2010: optimization algorithms in machine learningzukun
 

Similar to The convenience yield implied by quadratic volatility smiles presentation [compatibility mode] (20)

2003 Ames.Models
2003 Ames.Models2003 Ames.Models
2003 Ames.Models
 
Local Volatility 1
Local Volatility 1Local Volatility 1
Local Volatility 1
 
Option local and volatility 2 25 2014
Option local and volatility 2 25 2014Option local and volatility 2 25 2014
Option local and volatility 2 25 2014
 
11.the comparative study of finite difference method and monte carlo method f...
11.the comparative study of finite difference method and monte carlo method f...11.the comparative study of finite difference method and monte carlo method f...
11.the comparative study of finite difference method and monte carlo method f...
 
Case Study (All)
Case Study (All)Case Study (All)
Case Study (All)
 
presentation
presentationpresentation
presentation
 
Option Pricing under non constant volatilityEcon 643 Fina.docx
Option Pricing under non constant volatilityEcon 643 Fina.docxOption Pricing under non constant volatilityEcon 643 Fina.docx
Option Pricing under non constant volatilityEcon 643 Fina.docx
 
Options pricing using Lattice models
Options pricing using Lattice modelsOptions pricing using Lattice models
Options pricing using Lattice models
 
Asset Prices in Segmented and Integrated Markets
Asset Prices in Segmented and Integrated MarketsAsset Prices in Segmented and Integrated Markets
Asset Prices in Segmented and Integrated Markets
 
Dsp U Lec09 Iir Filter Design
Dsp U   Lec09 Iir Filter DesignDsp U   Lec09 Iir Filter Design
Dsp U Lec09 Iir Filter Design
 
Cosmin Crucean: Perturbative QED on de Sitter Universe.
Cosmin Crucean: Perturbative QED on de Sitter Universe.Cosmin Crucean: Perturbative QED on de Sitter Universe.
Cosmin Crucean: Perturbative QED on de Sitter Universe.
 
DP_M4_L2.pdf
DP_M4_L2.pdfDP_M4_L2.pdf
DP_M4_L2.pdf
 
On estimating the integrated co volatility using
On estimating the integrated co volatility usingOn estimating the integrated co volatility using
On estimating the integrated co volatility using
 
A T(1)-type theorem for entangled multilinear Calderon-Zygmund operators
A T(1)-type theorem for entangled multilinear Calderon-Zygmund operatorsA T(1)-type theorem for entangled multilinear Calderon-Zygmund operators
A T(1)-type theorem for entangled multilinear Calderon-Zygmund operators
 
Hull White model presentation
Hull White model presentationHull White model presentation
Hull White model presentation
 
residue
residueresidue
residue
 
Interactive Visualization in Human Time -StampedeCon 2015
Interactive Visualization in Human Time -StampedeCon 2015Interactive Visualization in Human Time -StampedeCon 2015
Interactive Visualization in Human Time -StampedeCon 2015
 
11.generalized and subset integrated autoregressive moving average bilinear t...
11.generalized and subset integrated autoregressive moving average bilinear t...11.generalized and subset integrated autoregressive moving average bilinear t...
11.generalized and subset integrated autoregressive moving average bilinear t...
 
VHDL and Cordic Algorithim
VHDL and Cordic AlgorithimVHDL and Cordic Algorithim
VHDL and Cordic Algorithim
 
NIPS2010: optimization algorithms in machine learning
NIPS2010: optimization algorithms in machine learningNIPS2010: optimization algorithms in machine learning
NIPS2010: optimization algorithms in machine learning
 

Recently uploaded

chapter_2.ppt The labour market definitions and trends
chapter_2.ppt The labour market definitions and trendschapter_2.ppt The labour market definitions and trends
chapter_2.ppt The labour market definitions and trendslemlemtesfaye192
 
call girls in Nand Nagri (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in  Nand Nagri (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in  Nand Nagri (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Nand Nagri (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
(办理原版一样)QUT毕业证昆士兰科技大学毕业证学位证留信学历认证成绩单补办
(办理原版一样)QUT毕业证昆士兰科技大学毕业证学位证留信学历认证成绩单补办(办理原版一样)QUT毕业证昆士兰科技大学毕业证学位证留信学历认证成绩单补办
(办理原版一样)QUT毕业证昆士兰科技大学毕业证学位证留信学历认证成绩单补办fqiuho152
 
fca-bsps-decision-letter-redacted (1).pdf
fca-bsps-decision-letter-redacted (1).pdffca-bsps-decision-letter-redacted (1).pdf
fca-bsps-decision-letter-redacted (1).pdfHenry Tapper
 
Governor Olli Rehn: Dialling back monetary restraint
Governor Olli Rehn: Dialling back monetary restraintGovernor Olli Rehn: Dialling back monetary restraint
Governor Olli Rehn: Dialling back monetary restraintSuomen Pankki
 
Attachment Of Assets......................
Attachment Of Assets......................Attachment Of Assets......................
Attachment Of Assets......................AmanBajaj36
 
AfRESFullPaper22018EmpiricalPerformanceofRealEstateInvestmentTrustsandShareho...
AfRESFullPaper22018EmpiricalPerformanceofRealEstateInvestmentTrustsandShareho...AfRESFullPaper22018EmpiricalPerformanceofRealEstateInvestmentTrustsandShareho...
AfRESFullPaper22018EmpiricalPerformanceofRealEstateInvestmentTrustsandShareho...yordanosyohannes2
 
House of Commons ; CDC schemes overview document
House of Commons ; CDC schemes overview documentHouse of Commons ; CDC schemes overview document
House of Commons ; CDC schemes overview documentHenry Tapper
 
Tenets of Physiocracy History of Economic
Tenets of Physiocracy History of EconomicTenets of Physiocracy History of Economic
Tenets of Physiocracy History of Economiccinemoviesu
 
Mulki Call Girls 7001305949 WhatsApp Number 24x7 Best Services
Mulki Call Girls 7001305949 WhatsApp Number 24x7 Best ServicesMulki Call Girls 7001305949 WhatsApp Number 24x7 Best Services
Mulki Call Girls 7001305949 WhatsApp Number 24x7 Best Servicesnajka9823
 
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...First NO1 World Amil baba in Faisalabad
 
Chapter 2.ppt of macroeconomics by mankiw 9th edition
Chapter 2.ppt of macroeconomics by mankiw 9th editionChapter 2.ppt of macroeconomics by mankiw 9th edition
Chapter 2.ppt of macroeconomics by mankiw 9th editionMuhammadHusnain82237
 
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service AizawlVip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawlmakika9823
 
magnetic-pensions-a-new-blueprint-for-the-dc-landscape.pdf
magnetic-pensions-a-new-blueprint-for-the-dc-landscape.pdfmagnetic-pensions-a-new-blueprint-for-the-dc-landscape.pdf
magnetic-pensions-a-new-blueprint-for-the-dc-landscape.pdfHenry Tapper
 
SBP-Market-Operations and market managment
SBP-Market-Operations and market managmentSBP-Market-Operations and market managment
SBP-Market-Operations and market managmentfactical
 
Lundin Gold April 2024 Corporate Presentation v4.pdf
Lundin Gold April 2024 Corporate Presentation v4.pdfLundin Gold April 2024 Corporate Presentation v4.pdf
Lundin Gold April 2024 Corporate Presentation v4.pdfAdnet Communications
 
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...shivangimorya083
 
Call Girls In Yusuf Sarai Women Seeking Men 9654467111
Call Girls In Yusuf Sarai Women Seeking Men 9654467111Call Girls In Yusuf Sarai Women Seeking Men 9654467111
Call Girls In Yusuf Sarai Women Seeking Men 9654467111Sapana Sha
 
Stock Market Brief Deck for "this does not happen often".pdf
Stock Market Brief Deck for "this does not happen often".pdfStock Market Brief Deck for "this does not happen often".pdf
Stock Market Brief Deck for "this does not happen often".pdfMichael Silva
 
How Automation is Driving Efficiency Through the Last Mile of Reporting
How Automation is Driving Efficiency Through the Last Mile of ReportingHow Automation is Driving Efficiency Through the Last Mile of Reporting
How Automation is Driving Efficiency Through the Last Mile of ReportingAggregage
 

Recently uploaded (20)

chapter_2.ppt The labour market definitions and trends
chapter_2.ppt The labour market definitions and trendschapter_2.ppt The labour market definitions and trends
chapter_2.ppt The labour market definitions and trends
 
call girls in Nand Nagri (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in  Nand Nagri (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in  Nand Nagri (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Nand Nagri (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
(办理原版一样)QUT毕业证昆士兰科技大学毕业证学位证留信学历认证成绩单补办
(办理原版一样)QUT毕业证昆士兰科技大学毕业证学位证留信学历认证成绩单补办(办理原版一样)QUT毕业证昆士兰科技大学毕业证学位证留信学历认证成绩单补办
(办理原版一样)QUT毕业证昆士兰科技大学毕业证学位证留信学历认证成绩单补办
 
fca-bsps-decision-letter-redacted (1).pdf
fca-bsps-decision-letter-redacted (1).pdffca-bsps-decision-letter-redacted (1).pdf
fca-bsps-decision-letter-redacted (1).pdf
 
Governor Olli Rehn: Dialling back monetary restraint
Governor Olli Rehn: Dialling back monetary restraintGovernor Olli Rehn: Dialling back monetary restraint
Governor Olli Rehn: Dialling back monetary restraint
 
Attachment Of Assets......................
Attachment Of Assets......................Attachment Of Assets......................
Attachment Of Assets......................
 
AfRESFullPaper22018EmpiricalPerformanceofRealEstateInvestmentTrustsandShareho...
AfRESFullPaper22018EmpiricalPerformanceofRealEstateInvestmentTrustsandShareho...AfRESFullPaper22018EmpiricalPerformanceofRealEstateInvestmentTrustsandShareho...
AfRESFullPaper22018EmpiricalPerformanceofRealEstateInvestmentTrustsandShareho...
 
House of Commons ; CDC schemes overview document
House of Commons ; CDC schemes overview documentHouse of Commons ; CDC schemes overview document
House of Commons ; CDC schemes overview document
 
Tenets of Physiocracy History of Economic
Tenets of Physiocracy History of EconomicTenets of Physiocracy History of Economic
Tenets of Physiocracy History of Economic
 
Mulki Call Girls 7001305949 WhatsApp Number 24x7 Best Services
Mulki Call Girls 7001305949 WhatsApp Number 24x7 Best ServicesMulki Call Girls 7001305949 WhatsApp Number 24x7 Best Services
Mulki Call Girls 7001305949 WhatsApp Number 24x7 Best Services
 
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
 
Chapter 2.ppt of macroeconomics by mankiw 9th edition
Chapter 2.ppt of macroeconomics by mankiw 9th editionChapter 2.ppt of macroeconomics by mankiw 9th edition
Chapter 2.ppt of macroeconomics by mankiw 9th edition
 
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service AizawlVip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
 
magnetic-pensions-a-new-blueprint-for-the-dc-landscape.pdf
magnetic-pensions-a-new-blueprint-for-the-dc-landscape.pdfmagnetic-pensions-a-new-blueprint-for-the-dc-landscape.pdf
magnetic-pensions-a-new-blueprint-for-the-dc-landscape.pdf
 
SBP-Market-Operations and market managment
SBP-Market-Operations and market managmentSBP-Market-Operations and market managment
SBP-Market-Operations and market managment
 
Lundin Gold April 2024 Corporate Presentation v4.pdf
Lundin Gold April 2024 Corporate Presentation v4.pdfLundin Gold April 2024 Corporate Presentation v4.pdf
Lundin Gold April 2024 Corporate Presentation v4.pdf
 
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
Russian Call Girls In Gtb Nagar (Delhi) 9711199012 💋✔💕😘 Naughty Call Girls Se...
 
Call Girls In Yusuf Sarai Women Seeking Men 9654467111
Call Girls In Yusuf Sarai Women Seeking Men 9654467111Call Girls In Yusuf Sarai Women Seeking Men 9654467111
Call Girls In Yusuf Sarai Women Seeking Men 9654467111
 
Stock Market Brief Deck for "this does not happen often".pdf
Stock Market Brief Deck for "this does not happen often".pdfStock Market Brief Deck for "this does not happen often".pdf
Stock Market Brief Deck for "this does not happen often".pdf
 
How Automation is Driving Efficiency Through the Last Mile of Reporting
How Automation is Driving Efficiency Through the Last Mile of ReportingHow Automation is Driving Efficiency Through the Last Mile of Reporting
How Automation is Driving Efficiency Through the Last Mile of Reporting
 

The convenience yield implied by quadratic volatility smiles presentation [compatibility mode]

  • 1. The convenience yield implied by quadratic volatility smiles (2001, 2002) 2001, 2002) By Prof. Haim Reisman Presented by Yigal Ben Tal & David Feldman
  • 2. Introduction The Implied Convenience Yield (ICY) The Moneyness, what is it? Moneyness, The Implied Volatility and its Smile ☺ Black & Scholes Model representation
  • 3. Basic definitions - ICY The Implied Convenience Yield of an illiquid option is the rate of locally risk-less profit obtained from risk- hedging this option using other liquid at-the-money at-the- (ATM) options as hedging instruments. instruments. (Prof. Haim Reisman, 06/2002)
  • 4. Basic definitions - Moneyness Let the function m(t,T,r,K,St) be a function of time, maturity date, interest rate, strike price and underlying price. Then the moneyness X=Xt at time t (0 ≤ t<T) is price. X=X t<T) generally defined as X= m(t,T,r,K,St). m( The function m(·) is referred to as the moneyness function. function. It is required that the moneyness to be increasing in K. (Reinhold Hafner, 2004)
  • 5. Basic definitions - IV The Implied Volatility is the value of the expected volatility imputed from an option pricing model (such as B&S), given the option price, the asset’s price, the exercise price, the time to maturity, and the risk- risk- free interest rate. rate. (OECD Economic Outlook Glossary)
  • 6. Basic definitions - IV (the math definition) If C = f(σ,·) is a theoretical value of an option, and option, f(·) is a pricing model that depends on volatility σ f(·) plus other inputs, and f(·) f(·) is monotonically increasing in σ, than if exists some inverse function f -1(·), ·), such that σC* = f -1(C*,·), (C*,·), where C* is the market price of an option, than the value σC* is the implied volatility by the market price C*. C*. (Reinhold Hafner, 2004)
  • 7. Basic definitions - Smile For any fixed maturity date t (t ≤ T), the function σ(K,·) of implied volatility against strike price K K,·) (K>0) is called the volatility smile or just smile (for K>0 maturity T) at date t (0 ≤ t<T). t<T) IV X = Ke − r ∆t S t ATM Call ITM Call OTM Put OTM Put ITM 1 X
  • 8. The economic assumptions • The ICY of the liquid options is zero and one of the non-liquid options isn’t zero. non- zero. • The stock index and European options are traded continuously. continuously. • The interest rate is constant over the time. time. • The ATM options are traded at no transaction costs, but those that are away from the money are traded with it. it. • The paper analyzes a set of fix expiration options. options.
  • 9. The mathematic assumptions The Volatility Smile is quadratic with coefficients as Ito's processes. processes. This is the IV of ATM option. option. This is the slope of the volatility smile. smile. This is curvature measure of the smile. smile. This is moneyness. moneyness.
  • 10. Black & Scholes Model changes The standard formula for European Call option is: C ( t ,T , S t , K ) = S t N ( d 1 ) − Ke − r ∆t N ( d 2 ) ln ( S t K ) + ( r + σ 2 2 ) ∆ t d1 = , d 2 = d1 − σ ∆t σ ∆t ∆t The changed B&S formula, that used in the paper is: C ( t ,T , St , K ) = St  N ( d1 ) − XN ( d2 )  , X = Ke−r∆t St   − ln X V ( t ,T , X ) ∆t d1 = + , d2 = d1 −V ( t ,T , X ) ∆t V ( t ,T , X ) ∆t 2
  • 11. The target of the paper The ICY for non-liquid options may be explained as non- a stream of the cash (received/paid) for the discomfort of the option holding. holding. The non-liquid options may have non-zero ICY. non- non- ICY. The target of the article is a creation of an exact formula for the ICY and for its hedging coefficients. coefficients.
  • 12. The getting formula dC − rC dt = ∆ * ⋅ ( dS t − rS t dt ) + A B 2 + ∑ V ega * ⋅ ( d z k − α k d t ) + k k =0 C + ε ( t ,T , K ) dt D Where µ is very complicated expression of the B&S model’s partial derivatives. ∆* = ∆ − X ⋅ (Vega S )  z1 + 2 ( X − 1) z2  , Vega* = ( X − 1) ⋅ Vega k   k ∂ 1 ∂2 α0 ( X = 1) = µ Vega , α1 ( X = 1) = ( µ Vega ) , α2 ( X = 1) = 2 ( µ Vega ) ∂X 2 ∂X ε = µ − ∑αk ⋅ Vega* , ε ( t,T ,K ) = o ( ( X − 1) ) 2 3 k k =0
  • 13. The advantage remarks • The received formulas are simple computation and depend just on currently observable parameters. parameters. • There is no need for any historical data or some arbitrary assumption on the behavior of processes in the future. future.
  • 14. There are some question points • The model has many different initial parameters (zk, cov(dw,dwk), ets.). cov( ets. • There are many undefined expressions used by the author (cov(dw,dwk), coefficients of zk). cov( • Various economic and mathematical assumptions, that are not clear (ICY, the formula of the hedging portfolio options).
  • 15. The end. Thank you for your attention!!!
  • 16. The Moneyness properties The moneyness function m(t,T,r,K,St) properties are: are: 1. m ∈ C 2 [ 0 ,T ] × ( t ,T ] × » + × » + + × » + + 2. lim m < ∞ t →T ∂ 2m 3. lim <∞ t →T ∂t 2