SlideShare une entreprise Scribd logo
1  sur  8
Copyright 2015 Dr. LAM Yat-fai
Valuation of Currency Options
with Vanna-Volga Method
Dr. LAM Yat-fai (林日辉林日辉林日辉林日辉)
Adjunct Assistant Professor, HKU
Doctor of Business Administration (Finance)
CFA, CAIA, FRM, PRM
E-mail: faiylam@hku.com
9:20 am to 10:10 am
Tuesday 13 January 2015
Room 701, Block D, HSMC
Copyright 2015 Dr. LAM Yat-fai 2
Declaration
Copyright © 2015 Dr. LAM Yat-fai.
All rights reserved. No part of this presentation file may be
reproduced, in any form or by any means, without written
permission from Dr. LAM Yat-fai.
Authored by Dr. LAM Yat-fai (林日林日林日林日辉辉辉辉 博士博士博士博士),
Adjunct Assistant Professor, The University of Hong Kong,
Doctor of Business Administration (Finance),
CFA, CAIA, FRM, PRM.
Copyright 2015 Dr. LAM Yat-fai 3
Abstract
Vanna-Volga method
An elegant currency option valuation model
Incorporates volatility smile effect
Structured closed form solution
Requires very few readily available input parameters
Research results
Vanna-Volga method is accurate for currency option
valuation under normal market conditions
Quadratic approximation is robust for recovering a
volatility smile
Copyright 2015 Dr. LAM Yat-fai 4
Outline
Currency option valuation
Vanna-Volga method
Volatility recovery
Copyright 2015 Dr. LAM Yat-fai 5
Black-Scholes model, 1973
Only be exercised at maturity
Constant volatility
Constant risk-free rate
Market is efficient
Currency rate follows a geometric Brownian
motion
No transaction costs and taxes
( ) ( ) ( ) tdS t S t rdt S t dWσ= +
Copyright 2015 Dr. LAM Yat-fai 6
Black-Scholes formulas
S0: Market rate of underlying currency
σ: Constant volatility for maturity T
rd: Constant domestic risk-free rate for maturity T
rf: Constant foreign risk-free rate for maturity T
K: Strike rate
T: Maturity
c(t) : European call price at time t
P(t) : European put price at time t
S0, σ, rd, rf, K,Τ → c(t) , p(t)
Copyright 2015 Dr. LAM Yat-fai 7
Black-Scholes formulas
( ) ( ) ( ) ( )
( ) ( )
( ) ( ) ( )
( ) ( ) ( )
( )
( )
( )
( ) ( )
1
2
2
1
2
1
2 1
2
exp
exp
exp
exp
ln
2
1
( ) exp
22
f
d
d
f
d f
x
c t S t r T t d t
K r T t d t
p t K r T t d t
S t r T t d t
S t
r r T t
K
where d t
T t
d t d t T t
s
x dsφ
π
σ
σ
σ
−∞
 = − − Φ    
− − − Φ      
= − − Φ −      
 − − − Φ −   
   
+ − + −  
  =
−
= − −
 
Φ = − 
 
∫
The most well know but
also the most inaccurate
option valuation model.
Hence “BS formulas”.
Copyright 2015 Dr. LAM Yat-fai 8
Volatility smile
Implied volatility is not a constant
Black-Scholes model is subject to critical
model error
Copyright 2015 Dr. LAM Yat-fai 9
Advanced option valuation models
Heston (1993), Stochastic volatility model
Diffusion type stochastic volatility model
Closed form solution with integration of complex function
Madan, Carr and Chang’s (1998), Variance Gamma
model
Pure jump model
Tedious closed form solution
Duan (1995) GARCH model
Monte Carlo simulation
Calibration of several
market implied parameters
required before any
valuation
Copyright 2015 Dr. LAM Yat-fai 10
An ideal currency option
valuation model
In algebra closed form solution
Fast computation
Market data readily available
Minimum overhead
Very few input parameters
Effective implementation
Copyright 2015 Dr. LAM Yat-fai 11
Outline
Currency option valuation
Vanna-Volga method
Volatility recovery
Copyright 2015 Dr. LAM Yat-fai 12
Vanna-Volga method
Castagna and Mercurio (2007)
Black-Scholes constant volatility is a latent variable
For each standard maturity, there are 3 liquidly traded
characteristic options with transparent market prices
Dynamic hedging with characteristic options
Neutralize first and second order sensitivities to form an
instant risk-free portfolio
Currency option with an arbitrary strike rate can then be
valuated
Copyright 2015 Dr. LAM Yat-fai 13
Delta, Vega, Vanna and Volga
( )
( )
( )
( )
2
2
2
BS
BS
BS
V t
Delta
S
V t
Vega
V t
Vanna
S
V t
Volga
σ
σ
σ
∂
=
∂
∂
=
∂
∂
=
∂ ∂
∂
=
∂
Copyright 2015 Dr. LAM Yat-fai 14
Vanna-Volga formula
( )
( )
( )
( )
( )
( )
( )
( )
( )
1 2
3
3 32
1
1 2
3 32 2
1 1 1 2
1 2
3
3 3
1 2
ln ln ln ln
ln ln ln ln
ln ln
ln ln
BS BS
BS BS
BS BS
BS BS
BS
BS
BS
BS
V t V tK KK K
K K K K
w t w t
V t V tK KK K
K K K K
V t K K
K K
w t
V t K K
K K
σ σ
σ σ
σ
σ
∂ ∂
⋅ ⋅ ⋅ ⋅
∂ ∂
= =
∂ ∂
⋅ ⋅ ⋅ ⋅
∂ ∂
∂
⋅ ⋅
∂
=
∂
⋅ ⋅
∂
( ) ( ) ( ) ( ) ( )
3
1
VV BS Market BS
k k k
k
V t V t w t V t V t
=
 = + − ∑
Copyright 2015 Dr. LAM Yat-fai 15
Practical implementation
Hedging error
σBS = σATM
Characteristics options
V1: Left 25-Delta Call Option
V2: ATM Call Option
V3: Right 25-Delta Call Option
( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( ) ( )
( ) ( ) ( )
3
0
1
25 25 25
25 25 25
exp
T
Market BS
d k k k
k
VV BS Market BS
Left Left Left
Market BS
Right Right Right
T r T t V t V t dw t
V t V t w t V t V t
w t V t V t
ε
=
 
 = − −     
 
 = + − 
 + − 
∑∫
Copyright 2015 Dr. LAM Yat-fai 16
Outline
Currency option valuation
Vanna-Volga method
Volatility recovery
Copyright 2015 Dr. LAM Yat-fai 17
Volatility smile recovery
Calculate the selected currency option value
with the Vanna-Volga method
Use the Black-Scholes formula to back out
the implied volatility using numerical some
methods
Compare with the implied volatility with
volatility published by Bloomberg
Copyright 2015 Dr. LAM Yat-fai 18
Root search algorithm
( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( )
( ) ( )
( )
( )
( )
( ) ( )
3
1
1
2
2
1
2 1
exp
exp
ln
2
VV BS Market BS
k k k
k
VV
f
d
d f
V t V t w t V t V t
V t S t r T t d t
K r T t d t
S t
r r T t
K
where d t
T t
d t d t T t
σ
σ
σ
=
 = + − 
 = − − Φ    
− − − Φ      
   
+ − + −  
  =
−
= − −
∑
Copyright 2015 Dr. LAM Yat-fai 19
Linear approximation
( ) ( )
( )
( )
[ ]
( ) ( ) ( )
( )
( )
[ ]
3
1
332
1 1 2
1 2 3
3 3 3 32 2
1 1 1 2 1 2
ln ln ln lnln ln
ln ln ln ln ln ln
BS
VV BS
BS
BS
BS
kVV BS
k k BS
k BS
V t
V t V t
t
V t
V t V t w t
t
KK K KKK
K K K KK K
K K K KK K
K K K K K K
σ σ
σ
σ σ
σ
σ σ σ σ
=
∂
≈ + ⋅ −
∂
 ∂ 
≈ + ⋅ ⋅ − 
∂  
⋅ ⋅⋅
≈ + +
⋅ ⋅ ⋅
∑
Copyright 2015 Dr. LAM Yat-fai 20
Quadratic approximation (1)
( ) ( )
( )
( )
( )
( )
( ) ( ) ( )
( )
( )
( )
( )
( )
( )
2
2
2
3
2
1 21
2
1
2
1
2
BS BS
VV BS
bs bs
BS BS
BS
k
k BS
BSVV BS
k BS
k
k BS
BS
V t V t
V t V t
V t
t
V t V t w t
V t
t
σ σ σ σ
σ σ
σ σ
σ
σ σ
σ
=
∂ ∂
≈ + ⋅ − + ⋅ −
∂ ∂
  ∂
⋅ −  
∂  ≈ +   ∂  + ⋅ − ∂   
∑
Copyright 2015 Dr. LAM Yat-fai 21
Quadratic approximation (2)
( ) ( )
( )
( )
( )
( )
( )
( )
( )
( )
( )
2
23
2
2
1
2
2
0
1
2
1
2
bs bs
BS BS
k k
k k BS k BS
k BS BS
BS
BS
BS
BS
C B A
V t V t
A w t
t t
V t
B
V t
C
σ σ σ σ
σ σ σ σ
σ σ
σ
σ
=
− + − + =
  ∂ ∂ 
= − ⋅ − + ⋅ −  
∂ ∂   
∂
=
∂
∂
=
∂
∑
Copyright 2015 Dr. LAM Yat-fai 22
Three recovery methods
Root searching algorithm
Definition of implied volatility
Linear approximation
Very simple linear formula
Quadratic approximation
Solving quadratic equation in closed form
Copyright 2015 Dr. LAM Yat-fai 23
Three volatility ranges
Middle
Extreme
Wing
Copyright 2015 Dr. LAM Yat-fai 24
Three scenarios
Major currencies, regular market
EUR, GBP, CHF, SEK, CAD, JPY, AUD
157 Fridays during the period from 2010 to 2012
Major currencies, stress market
52 Fridays during the period from July 2008 to
June 2009
CNY, regular market
157 Fridays during the period from 2010 to 2012
Copyright 2015 Dr. LAM Yat-fai 25
Back testing summary
CNY, normalExtreme
Quadratic
approximation
Major currency,
stress
Wing
Linear
approximation
Major currency,
normal
MiddleRoot search
ScenariosSmile region
Recovery
method
Copyright 2015 Dr. LAM Yat-fai 26
Findings (1)
Quadratic approximation and root search
algorithm outperform linear approximation
for wing and extreme regions
Quadratic approximation performs equally
well as root search algorithm
Not much differentiation for middle region
among three methods
Copyright 2015 Dr. LAM Yat-fai 27
Findings (2)
The quadratic approximation is the most
efficient and effective in terms of
Absolute percentage error: Average, standard
deviation
Closed form solution
The linear approximation could be a good
choice for the middle region
Very simple linear closed form solution
Copyright 2015 Dr. LAM Yat-fai 28
Domain of application
FailedFailedAdequateCNY
FailedMarginalAdequateStress
MarginalAdequateAdequate
Major
currency
ExtremeWingMiddle
Copyright 2015 Dr. LAM Yat-fai 29
Conclusions
Is the Vanna-Volga method an accurate
approach to valuate currency options?
Yes
How robust is the Vanna-Volga method in
recovering a volatility smile?
Quadratic approximation is robust
Copyright 2015 Dr. LAM Yat-fai 30
Extensions for research
Value-at-risk
Dynamic hedging
Exotic currency options
Stochastic Vanna-Volga method
A combination the best of Vanna-Volga method
and Heston’s stochastic volatility model
Copyright 2015 Dr. LAM Yat-fai
Q & A
http://sites.google.com/site/quanrisk

Contenu connexe

En vedette

Middle School, Ramnagara
Middle School, RamnagaraMiddle School, Ramnagara
Middle School, Ramnagara
DFC2011
 
Conectivismo
ConectivismoConectivismo
Conectivismo
esthergq
 
Chapter 2 fx rate risk for currrency portfolios
Chapter 2   fx rate risk for currrency portfoliosChapter 2   fx rate risk for currrency portfolios
Chapter 2 fx rate risk for currrency portfolios
Quan Risk
 
Ensayo del analisis economico del derecho y la propiedad intelectual
Ensayo del analisis economico del derecho y la propiedad intelectualEnsayo del analisis economico del derecho y la propiedad intelectual
Ensayo del analisis economico del derecho y la propiedad intelectual
angelo winder choquehuayta quenta
 
Chapter 6 anti-money laundering and counter-terrorist financing
Chapter 6   anti-money laundering and counter-terrorist financingChapter 6   anti-money laundering and counter-terrorist financing
Chapter 6 anti-money laundering and counter-terrorist financing
Quan Risk
 

En vedette (20)

Implimenting_HJM
Implimenting_HJMImplimenting_HJM
Implimenting_HJM
 
Option_Greeks
Option_GreeksOption_Greeks
Option_Greeks
 
UXDesign_Infographic
UXDesign_InfographicUXDesign_Infographic
UXDesign_Infographic
 
Middle School, Ramnagara
Middle School, RamnagaraMiddle School, Ramnagara
Middle School, Ramnagara
 
Catalogo corsi 2013
Catalogo corsi 2013Catalogo corsi 2013
Catalogo corsi 2013
 
Результаты Международного исследования общественной безопасности в Кыргызстан...
Результаты Международного исследования общественной безопасности в Кыргызстан...Результаты Международного исследования общественной безопасности в Кыргызстан...
Результаты Международного исследования общественной безопасности в Кыргызстан...
 
Conectivismo
ConectivismoConectivismo
Conectivismo
 
Contaminacion agua y aire
Contaminacion agua y aireContaminacion agua y aire
Contaminacion agua y aire
 
Chapter 2 fx rate risk for currrency portfolios
Chapter 2   fx rate risk for currrency portfoliosChapter 2   fx rate risk for currrency portfolios
Chapter 2 fx rate risk for currrency portfolios
 
Rab lighting
Rab lightingRab lighting
Rab lighting
 
ecologia educacion y conciencia ambiental seccion 1A
ecologia educacion y conciencia ambiental seccion 1Aecologia educacion y conciencia ambiental seccion 1A
ecologia educacion y conciencia ambiental seccion 1A
 
Contaminacion suelo y sonica diego
Contaminacion suelo y sonica diegoContaminacion suelo y sonica diego
Contaminacion suelo y sonica diego
 
JFAC Presentation 2016
JFAC Presentation 2016JFAC Presentation 2016
JFAC Presentation 2016
 
Ensayo del analisis economico del derecho y la propiedad intelectual
Ensayo del analisis economico del derecho y la propiedad intelectualEnsayo del analisis economico del derecho y la propiedad intelectual
Ensayo del analisis economico del derecho y la propiedad intelectual
 
Mapa mental contra los delitos informaticos
Mapa mental contra los delitos informaticosMapa mental contra los delitos informaticos
Mapa mental contra los delitos informaticos
 
Autoestima(1)
Autoestima(1)Autoestima(1)
Autoestima(1)
 
Correspondent banking
Correspondent bankingCorrespondent banking
Correspondent banking
 
Chapter 6 anti-money laundering and counter-terrorist financing
Chapter 6   anti-money laundering and counter-terrorist financingChapter 6   anti-money laundering and counter-terrorist financing
Chapter 6 anti-money laundering and counter-terrorist financing
 
Basel II self assessment
Basel II self assessmentBasel II self assessment
Basel II self assessment
 
Unidad 5. "Tópicos de investigación de mercados"
Unidad 5. "Tópicos de investigación de mercados"Unidad 5. "Tópicos de investigación de mercados"
Unidad 5. "Tópicos de investigación de mercados"
 

Similaire à Vanna volga method

A generic method for modeling accelerated life testing data
A generic method for modeling accelerated life testing dataA generic method for modeling accelerated life testing data
A generic method for modeling accelerated life testing data
ASQ Reliability Division
 
Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Tr...
Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Tr...Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Tr...
Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Tr...
Claudio Di Ciccio
 
ImperialMathFinance: Finance and Stochastics Seminar
ImperialMathFinance: Finance and Stochastics SeminarImperialMathFinance: Finance and Stochastics Seminar
ImperialMathFinance: Finance and Stochastics Seminar
elviszhang
 
Brown bag 2012_fall
Brown bag 2012_fallBrown bag 2012_fall
Brown bag 2012_fall
Xiaolei Zhou
 

Similaire à Vanna volga method (20)

Geohydrology ii (3)
Geohydrology ii (3)Geohydrology ii (3)
Geohydrology ii (3)
 
5 csp
5 csp5 csp
5 csp
 
presentation-vol-arb
presentation-vol-arbpresentation-vol-arb
presentation-vol-arb
 
Node Unique Label Cover
Node Unique Label CoverNode Unique Label Cover
Node Unique Label Cover
 
Quantum correlations and entanglement in far-from-equilibrium spin systems
Quantum correlations and entanglement in far-from-equilibrium spin systemsQuantum correlations and entanglement in far-from-equilibrium spin systems
Quantum correlations and entanglement in far-from-equilibrium spin systems
 
Biosight: Quantitative Methods for Policy Analysis: Stochastic Dynamic Progra...
Biosight: Quantitative Methods for Policy Analysis: Stochastic Dynamic Progra...Biosight: Quantitative Methods for Policy Analysis: Stochastic Dynamic Progra...
Biosight: Quantitative Methods for Policy Analysis: Stochastic Dynamic Progra...
 
A generic method for modeling accelerated life testing data
A generic method for modeling accelerated life testing dataA generic method for modeling accelerated life testing data
A generic method for modeling accelerated life testing data
 
My presentation at University of Nottingham "Fast low-rank methods for solvin...
My presentation at University of Nottingham "Fast low-rank methods for solvin...My presentation at University of Nottingham "Fast low-rank methods for solvin...
My presentation at University of Nottingham "Fast low-rank methods for solvin...
 
Impact of Solvency II yield curve extrapolation parameters on the valuation o...
Impact of Solvency II yield curve extrapolation parameters on the valuation o...Impact of Solvency II yield curve extrapolation parameters on the valuation o...
Impact of Solvency II yield curve extrapolation parameters on the valuation o...
 
Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Tr...
Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Tr...Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Tr...
Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Tr...
 
Banque de France's Workshop on Granularity: Basile Grassi's slides, June 2016
Banque de France's Workshop on Granularity: Basile Grassi's slides, June 2016 Banque de France's Workshop on Granularity: Basile Grassi's slides, June 2016
Banque de France's Workshop on Granularity: Basile Grassi's slides, June 2016
 
ImperialMathFinance: Finance and Stochastics Seminar
ImperialMathFinance: Finance and Stochastics SeminarImperialMathFinance: Finance and Stochastics Seminar
ImperialMathFinance: Finance and Stochastics Seminar
 
Oil Spill Simulation near The Red Sea Coast using The Random Walk Technique
Oil Spill Simulation near The Red Sea Coast using The Random Walk TechniqueOil Spill Simulation near The Red Sea Coast using The Random Walk Technique
Oil Spill Simulation near The Red Sea Coast using The Random Walk Technique
 
Smoothed Particle Galerkin Method Formulation.pdf
Smoothed Particle Galerkin Method Formulation.pdfSmoothed Particle Galerkin Method Formulation.pdf
Smoothed Particle Galerkin Method Formulation.pdf
 
Brown bag 2012_fall
Brown bag 2012_fallBrown bag 2012_fall
Brown bag 2012_fall
 
Arch & Garch Processes
Arch & Garch ProcessesArch & Garch Processes
Arch & Garch Processes
 
SIAM SEAS Talk Slides
SIAM SEAS Talk SlidesSIAM SEAS Talk Slides
SIAM SEAS Talk Slides
 
Econometrics
EconometricsEconometrics
Econometrics
 
IRJET - Some Results on Fuzzy Semi-Super Modular Lattices
IRJET - Some Results on Fuzzy Semi-Super Modular LatticesIRJET - Some Results on Fuzzy Semi-Super Modular Lattices
IRJET - Some Results on Fuzzy Semi-Super Modular Lattices
 
A kernel-free particle method: Smile Problem Resolved
A kernel-free particle method: Smile Problem ResolvedA kernel-free particle method: Smile Problem Resolved
A kernel-free particle method: Smile Problem Resolved
 

Plus de Quan Risk

Chapter 1 the fatf's initiatives on aml
Chapter 1   the fatf's initiatives on amlChapter 1   the fatf's initiatives on aml
Chapter 1 the fatf's initiatives on aml
Quan Risk
 
Chapter 10 control self-assessment
Chapter 10   control self-assessmentChapter 10   control self-assessment
Chapter 10 control self-assessment
Quan Risk
 
Chapter 9 private banking
Chapter 9   private bankingChapter 9   private banking
Chapter 9 private banking
Quan Risk
 
Chapter 8 career and professional development
Chapter 8   career and professional developmentChapter 8   career and professional development
Chapter 8 career and professional development
Quan Risk
 
Chapter 7 regulatory technology
Chapter 7   regulatory technologyChapter 7   regulatory technology
Chapter 7 regulatory technology
Quan Risk
 
Chapter 6 aml compliance programme
Chapter 6   aml compliance programmeChapter 6   aml compliance programme
Chapter 6 aml compliance programme
Quan Risk
 
Chapter 5 internal investigation
Chapter 5   internal investigationChapter 5   internal investigation
Chapter 5 internal investigation
Quan Risk
 
Chapter 4 supsicious transactions
Chapter 4   supsicious transactionsChapter 4   supsicious transactions
Chapter 4 supsicious transactions
Quan Risk
 
Chapter 3 know your customer
Chapter 3   know your customerChapter 3   know your customer
Chapter 3 know your customer
Quan Risk
 
Chapter 2 the regulatory framework of aml
Chapter 2   the regulatory framework of amlChapter 2   the regulatory framework of aml
Chapter 2 the regulatory framework of aml
Quan Risk
 
Chapter 6 career and professional development
Chapter 6   career and professional developmentChapter 6   career and professional development
Chapter 6 career and professional development
Quan Risk
 
Chapter 5 financial compliance programme
Chapter 5   financial compliance programmeChapter 5   financial compliance programme
Chapter 5 financial compliance programme
Quan Risk
 
Chapter 4 securities and futures regulations
Chapter 4   securities and futures regulationsChapter 4   securities and futures regulations
Chapter 4 securities and futures regulations
Quan Risk
 
Chapter 3 insurance regulations
Chapter 3   insurance regulationsChapter 3   insurance regulations
Chapter 3 insurance regulations
Quan Risk
 
Chapter 2 banking regulations
Chapter 2   banking regulationsChapter 2   banking regulations
Chapter 2 banking regulations
Quan Risk
 
Chapter 1 financial regulations in hong kong
Chapter 1   financial regulations in hong kongChapter 1   financial regulations in hong kong
Chapter 1 financial regulations in hong kong
Quan Risk
 
Chapter 10 aml technologies
Chapter 10   aml technologiesChapter 10   aml technologies
Chapter 10 aml technologies
Quan Risk
 
Chapter 9 anti-money laundering
Chapter 9   anti-money launderingChapter 9   anti-money laundering
Chapter 9 anti-money laundering
Quan Risk
 
Chapter 7 algo trading and back testing
Chapter 7   algo trading and back testingChapter 7   algo trading and back testing
Chapter 7 algo trading and back testing
Quan Risk
 
Chapter 6 corporate lending
Chapter 6   corporate lendingChapter 6   corporate lending
Chapter 6 corporate lending
Quan Risk
 

Plus de Quan Risk (20)

Chapter 1 the fatf's initiatives on aml
Chapter 1   the fatf's initiatives on amlChapter 1   the fatf's initiatives on aml
Chapter 1 the fatf's initiatives on aml
 
Chapter 10 control self-assessment
Chapter 10   control self-assessmentChapter 10   control self-assessment
Chapter 10 control self-assessment
 
Chapter 9 private banking
Chapter 9   private bankingChapter 9   private banking
Chapter 9 private banking
 
Chapter 8 career and professional development
Chapter 8   career and professional developmentChapter 8   career and professional development
Chapter 8 career and professional development
 
Chapter 7 regulatory technology
Chapter 7   regulatory technologyChapter 7   regulatory technology
Chapter 7 regulatory technology
 
Chapter 6 aml compliance programme
Chapter 6   aml compliance programmeChapter 6   aml compliance programme
Chapter 6 aml compliance programme
 
Chapter 5 internal investigation
Chapter 5   internal investigationChapter 5   internal investigation
Chapter 5 internal investigation
 
Chapter 4 supsicious transactions
Chapter 4   supsicious transactionsChapter 4   supsicious transactions
Chapter 4 supsicious transactions
 
Chapter 3 know your customer
Chapter 3   know your customerChapter 3   know your customer
Chapter 3 know your customer
 
Chapter 2 the regulatory framework of aml
Chapter 2   the regulatory framework of amlChapter 2   the regulatory framework of aml
Chapter 2 the regulatory framework of aml
 
Chapter 6 career and professional development
Chapter 6   career and professional developmentChapter 6   career and professional development
Chapter 6 career and professional development
 
Chapter 5 financial compliance programme
Chapter 5   financial compliance programmeChapter 5   financial compliance programme
Chapter 5 financial compliance programme
 
Chapter 4 securities and futures regulations
Chapter 4   securities and futures regulationsChapter 4   securities and futures regulations
Chapter 4 securities and futures regulations
 
Chapter 3 insurance regulations
Chapter 3   insurance regulationsChapter 3   insurance regulations
Chapter 3 insurance regulations
 
Chapter 2 banking regulations
Chapter 2   banking regulationsChapter 2   banking regulations
Chapter 2 banking regulations
 
Chapter 1 financial regulations in hong kong
Chapter 1   financial regulations in hong kongChapter 1   financial regulations in hong kong
Chapter 1 financial regulations in hong kong
 
Chapter 10 aml technologies
Chapter 10   aml technologiesChapter 10   aml technologies
Chapter 10 aml technologies
 
Chapter 9 anti-money laundering
Chapter 9   anti-money launderingChapter 9   anti-money laundering
Chapter 9 anti-money laundering
 
Chapter 7 algo trading and back testing
Chapter 7   algo trading and back testingChapter 7   algo trading and back testing
Chapter 7 algo trading and back testing
 
Chapter 6 corporate lending
Chapter 6   corporate lendingChapter 6   corporate lending
Chapter 6 corporate lending
 

Vanna volga method

  • 1. Copyright 2015 Dr. LAM Yat-fai Valuation of Currency Options with Vanna-Volga Method Dr. LAM Yat-fai (林日辉林日辉林日辉林日辉) Adjunct Assistant Professor, HKU Doctor of Business Administration (Finance) CFA, CAIA, FRM, PRM E-mail: faiylam@hku.com 9:20 am to 10:10 am Tuesday 13 January 2015 Room 701, Block D, HSMC Copyright 2015 Dr. LAM Yat-fai 2 Declaration Copyright © 2015 Dr. LAM Yat-fai. All rights reserved. No part of this presentation file may be reproduced, in any form or by any means, without written permission from Dr. LAM Yat-fai. Authored by Dr. LAM Yat-fai (林日林日林日林日辉辉辉辉 博士博士博士博士), Adjunct Assistant Professor, The University of Hong Kong, Doctor of Business Administration (Finance), CFA, CAIA, FRM, PRM. Copyright 2015 Dr. LAM Yat-fai 3 Abstract Vanna-Volga method An elegant currency option valuation model Incorporates volatility smile effect Structured closed form solution Requires very few readily available input parameters Research results Vanna-Volga method is accurate for currency option valuation under normal market conditions Quadratic approximation is robust for recovering a volatility smile Copyright 2015 Dr. LAM Yat-fai 4 Outline Currency option valuation Vanna-Volga method Volatility recovery
  • 2. Copyright 2015 Dr. LAM Yat-fai 5 Black-Scholes model, 1973 Only be exercised at maturity Constant volatility Constant risk-free rate Market is efficient Currency rate follows a geometric Brownian motion No transaction costs and taxes ( ) ( ) ( ) tdS t S t rdt S t dWσ= + Copyright 2015 Dr. LAM Yat-fai 6 Black-Scholes formulas S0: Market rate of underlying currency σ: Constant volatility for maturity T rd: Constant domestic risk-free rate for maturity T rf: Constant foreign risk-free rate for maturity T K: Strike rate T: Maturity c(t) : European call price at time t P(t) : European put price at time t S0, σ, rd, rf, K,Τ → c(t) , p(t) Copyright 2015 Dr. LAM Yat-fai 7 Black-Scholes formulas ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 1 2 2 1 2 1 2 1 2 exp exp exp exp ln 2 1 ( ) exp 22 f d d f d f x c t S t r T t d t K r T t d t p t K r T t d t S t r T t d t S t r r T t K where d t T t d t d t T t s x dsφ π σ σ σ −∞  = − − Φ     − − − Φ       = − − Φ −        − − − Φ −        + − + −     = − = − −   Φ = −    ∫ The most well know but also the most inaccurate option valuation model. Hence “BS formulas”. Copyright 2015 Dr. LAM Yat-fai 8 Volatility smile Implied volatility is not a constant Black-Scholes model is subject to critical model error
  • 3. Copyright 2015 Dr. LAM Yat-fai 9 Advanced option valuation models Heston (1993), Stochastic volatility model Diffusion type stochastic volatility model Closed form solution with integration of complex function Madan, Carr and Chang’s (1998), Variance Gamma model Pure jump model Tedious closed form solution Duan (1995) GARCH model Monte Carlo simulation Calibration of several market implied parameters required before any valuation Copyright 2015 Dr. LAM Yat-fai 10 An ideal currency option valuation model In algebra closed form solution Fast computation Market data readily available Minimum overhead Very few input parameters Effective implementation Copyright 2015 Dr. LAM Yat-fai 11 Outline Currency option valuation Vanna-Volga method Volatility recovery Copyright 2015 Dr. LAM Yat-fai 12 Vanna-Volga method Castagna and Mercurio (2007) Black-Scholes constant volatility is a latent variable For each standard maturity, there are 3 liquidly traded characteristic options with transparent market prices Dynamic hedging with characteristic options Neutralize first and second order sensitivities to form an instant risk-free portfolio Currency option with an arbitrary strike rate can then be valuated
  • 4. Copyright 2015 Dr. LAM Yat-fai 13 Delta, Vega, Vanna and Volga ( ) ( ) ( ) ( ) 2 2 2 BS BS BS V t Delta S V t Vega V t Vanna S V t Volga σ σ σ ∂ = ∂ ∂ = ∂ ∂ = ∂ ∂ ∂ = ∂ Copyright 2015 Dr. LAM Yat-fai 14 Vanna-Volga formula ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 1 2 3 3 32 1 1 2 3 32 2 1 1 1 2 1 2 3 3 3 1 2 ln ln ln ln ln ln ln ln ln ln ln ln BS BS BS BS BS BS BS BS BS BS BS BS V t V tK KK K K K K K w t w t V t V tK KK K K K K K V t K K K K w t V t K K K K σ σ σ σ σ σ ∂ ∂ ⋅ ⋅ ⋅ ⋅ ∂ ∂ = = ∂ ∂ ⋅ ⋅ ⋅ ⋅ ∂ ∂ ∂ ⋅ ⋅ ∂ = ∂ ⋅ ⋅ ∂ ( ) ( ) ( ) ( ) ( ) 3 1 VV BS Market BS k k k k V t V t w t V t V t =  = + − ∑ Copyright 2015 Dr. LAM Yat-fai 15 Practical implementation Hedging error σBS = σATM Characteristics options V1: Left 25-Delta Call Option V2: ATM Call Option V3: Right 25-Delta Call Option ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 3 0 1 25 25 25 25 25 25 exp T Market BS d k k k k VV BS Market BS Left Left Left Market BS Right Right Right T r T t V t V t dw t V t V t w t V t V t w t V t V t ε =    = − −         = + −   + −  ∑∫ Copyright 2015 Dr. LAM Yat-fai 16 Outline Currency option valuation Vanna-Volga method Volatility recovery
  • 5. Copyright 2015 Dr. LAM Yat-fai 17 Volatility smile recovery Calculate the selected currency option value with the Vanna-Volga method Use the Black-Scholes formula to back out the implied volatility using numerical some methods Compare with the implied volatility with volatility published by Bloomberg Copyright 2015 Dr. LAM Yat-fai 18 Root search algorithm ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 3 1 1 2 2 1 2 1 exp exp ln 2 VV BS Market BS k k k k VV f d d f V t V t w t V t V t V t S t r T t d t K r T t d t S t r r T t K where d t T t d t d t T t σ σ σ =  = + −   = − − Φ     − − − Φ           + − + −     = − = − − ∑ Copyright 2015 Dr. LAM Yat-fai 19 Linear approximation ( ) ( ) ( ) ( ) [ ] ( ) ( ) ( ) ( ) ( ) [ ] 3 1 332 1 1 2 1 2 3 3 3 3 32 2 1 1 1 2 1 2 ln ln ln lnln ln ln ln ln ln ln ln BS VV BS BS BS BS kVV BS k k BS k BS V t V t V t t V t V t V t w t t KK K KKK K K K KK K K K K KK K K K K K K K σ σ σ σ σ σ σ σ σ σ = ∂ ≈ + ⋅ − ∂  ∂  ≈ + ⋅ ⋅ −  ∂   ⋅ ⋅⋅ ≈ + + ⋅ ⋅ ⋅ ∑ Copyright 2015 Dr. LAM Yat-fai 20 Quadratic approximation (1) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 2 2 2 3 2 1 21 2 1 2 1 2 BS BS VV BS bs bs BS BS BS k k BS BSVV BS k BS k k BS BS V t V t V t V t V t t V t V t w t V t t σ σ σ σ σ σ σ σ σ σ σ σ = ∂ ∂ ≈ + ⋅ − + ⋅ − ∂ ∂   ∂ ⋅ −   ∂  ≈ +   ∂  + ⋅ − ∂    ∑
  • 6. Copyright 2015 Dr. LAM Yat-fai 21 Quadratic approximation (2) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) 2 23 2 2 1 2 2 0 1 2 1 2 bs bs BS BS k k k k BS k BS k BS BS BS BS BS BS C B A V t V t A w t t t V t B V t C σ σ σ σ σ σ σ σ σ σ σ σ = − + − + =   ∂ ∂  = − ⋅ − + ⋅ −   ∂ ∂    ∂ = ∂ ∂ = ∂ ∑ Copyright 2015 Dr. LAM Yat-fai 22 Three recovery methods Root searching algorithm Definition of implied volatility Linear approximation Very simple linear formula Quadratic approximation Solving quadratic equation in closed form Copyright 2015 Dr. LAM Yat-fai 23 Three volatility ranges Middle Extreme Wing Copyright 2015 Dr. LAM Yat-fai 24 Three scenarios Major currencies, regular market EUR, GBP, CHF, SEK, CAD, JPY, AUD 157 Fridays during the period from 2010 to 2012 Major currencies, stress market 52 Fridays during the period from July 2008 to June 2009 CNY, regular market 157 Fridays during the period from 2010 to 2012
  • 7. Copyright 2015 Dr. LAM Yat-fai 25 Back testing summary CNY, normalExtreme Quadratic approximation Major currency, stress Wing Linear approximation Major currency, normal MiddleRoot search ScenariosSmile region Recovery method Copyright 2015 Dr. LAM Yat-fai 26 Findings (1) Quadratic approximation and root search algorithm outperform linear approximation for wing and extreme regions Quadratic approximation performs equally well as root search algorithm Not much differentiation for middle region among three methods Copyright 2015 Dr. LAM Yat-fai 27 Findings (2) The quadratic approximation is the most efficient and effective in terms of Absolute percentage error: Average, standard deviation Closed form solution The linear approximation could be a good choice for the middle region Very simple linear closed form solution Copyright 2015 Dr. LAM Yat-fai 28 Domain of application FailedFailedAdequateCNY FailedMarginalAdequateStress MarginalAdequateAdequate Major currency ExtremeWingMiddle
  • 8. Copyright 2015 Dr. LAM Yat-fai 29 Conclusions Is the Vanna-Volga method an accurate approach to valuate currency options? Yes How robust is the Vanna-Volga method in recovering a volatility smile? Quadratic approximation is robust Copyright 2015 Dr. LAM Yat-fai 30 Extensions for research Value-at-risk Dynamic hedging Exotic currency options Stochastic Vanna-Volga method A combination the best of Vanna-Volga method and Heston’s stochastic volatility model Copyright 2015 Dr. LAM Yat-fai Q & A http://sites.google.com/site/quanrisk