XVI Workshop on Quantitative Finance, January 29-30, 2015, Universita degli Studi di Parma, Parma.
Webpage of the conference: http://www.qfinancexvi.altervista.org
XVII Workshop on Quantitative Finance, January 28-29, 2016, Scuola Normale Superiore, Pisa (Italy).
Webpage of the conference: http://mathfinance.sns.it/qfwxvii/
This document summarizes a presentation on statistical clustering, hierarchical PCA, and their applications to portfolio management. It introduces PCA and how the first principal component/eigenportfolio can represent the market portfolio. It then describes hierarchical PCA, which partitions assets into clusters and allows for different correlations between and within clusters. The document provides examples analyzing global stock markets with hierarchical PCA. It also describes an algorithm for statistically generating clusters rather than using predefined classifications. Finally, it discusses applications of statistical clustering and hierarchical PCA models to portfolio optimization and mean-variance analysis.
This document provides an overview of quantitative finance techniques for pricing certain financial derivatives. It discusses change of measure using the Radon-Nikodym derivative, and how this allows pricing quanto products by changing the numeraire from one currency to another. This allows using Monte Carlo simulation under the foreign pricing measure. Passport options are also introduced, which provide payoffs linked to multiple underlying assets. Pricing techniques for these products are overviewed.
An overview of Volatility (VIX futures based) Exchange Traded Funds (ETFs and ETNs). Examines the diversification benefits of volatility funds as well as costs such as roll costs.
Can the VIX be used as a market timing signal?Gaetan Lion
The document analyzes whether the VIX index can be used as an effective "buy" or "sell" signal for the stock market by examining correlations between VIX levels and subsequent stock market returns at both monthly and daily intervals from 1990 to 2011. The analysis finds:
1) Correlations between VIX levels and stock market returns over subsequent months and years are close to zero, indicating no predictive value.
2) Daily correlations between VIX and stock market returns out to 40 days also show no predictive pattern, with the relationship appearing random.
3) Using a VIX level of 40 as a sell signal would have missed major downturns like the dot-com crash and financial crisis, lag
Achieving Consistent Modeling Of VIX and Equities DerivativesVolatility
1) Discuss model complexity and calibration
2) Emphasize intuitive and robust calibration of sophisticated volatility models avoiding non-linear calibrations
3) Present local stochastic volatility models with jumps to achieve joint calibration to VIX options and (short-term) S&P500 options
4) Present two factor stochastic volatility model to fit both the short-term and long-term S&P500 option skews
Arbitrage-free Volatility Surfaces for Equity FuturesAntonie Kotzé
This document discusses methods for estimating and representing volatility surfaces and skews from options market data. It examines studies on estimating skews both parametrically, by fitting functions like quadratic curves to market data, and nonparametrically without assuming a function form. For liquid markets like the ALSI, skews derived from data are curved rather than linear. Estimating skews is challenging with limited or illiquid data. The document also discusses applying principal component analysis to decompose the main drivers of skew changes over time.
Deterministic Shift Extension of Affine Models for Variance DerivativesGabriele Pompa, PhD
This document presents the dissertation of Gabriele Pompa on deterministic shift extension of affine models for variance derivatives. The dissertation was submitted in 2016 for a PhD in computer science, decision science, and management science from IMT School for Advanced Studies in Lucca, Italy.
The dissertation consists of an empirical analysis of the Heston++ model, which is an affine model proposed by the author for consistently pricing Standard & Poor's 500 index options and volatility index (VIX) derivatives. The model incorporates a multi-factor Heston volatility structure, jumps in both price and volatility, and an additive displacement on the instantaneous volatility dynamics.
The author calibrates the Heston++ model to SPX and
XVII Workshop on Quantitative Finance, January 28-29, 2016, Scuola Normale Superiore, Pisa (Italy).
Webpage of the conference: http://mathfinance.sns.it/qfwxvii/
This document summarizes a presentation on statistical clustering, hierarchical PCA, and their applications to portfolio management. It introduces PCA and how the first principal component/eigenportfolio can represent the market portfolio. It then describes hierarchical PCA, which partitions assets into clusters and allows for different correlations between and within clusters. The document provides examples analyzing global stock markets with hierarchical PCA. It also describes an algorithm for statistically generating clusters rather than using predefined classifications. Finally, it discusses applications of statistical clustering and hierarchical PCA models to portfolio optimization and mean-variance analysis.
This document provides an overview of quantitative finance techniques for pricing certain financial derivatives. It discusses change of measure using the Radon-Nikodym derivative, and how this allows pricing quanto products by changing the numeraire from one currency to another. This allows using Monte Carlo simulation under the foreign pricing measure. Passport options are also introduced, which provide payoffs linked to multiple underlying assets. Pricing techniques for these products are overviewed.
An overview of Volatility (VIX futures based) Exchange Traded Funds (ETFs and ETNs). Examines the diversification benefits of volatility funds as well as costs such as roll costs.
Can the VIX be used as a market timing signal?Gaetan Lion
The document analyzes whether the VIX index can be used as an effective "buy" or "sell" signal for the stock market by examining correlations between VIX levels and subsequent stock market returns at both monthly and daily intervals from 1990 to 2011. The analysis finds:
1) Correlations between VIX levels and stock market returns over subsequent months and years are close to zero, indicating no predictive value.
2) Daily correlations between VIX and stock market returns out to 40 days also show no predictive pattern, with the relationship appearing random.
3) Using a VIX level of 40 as a sell signal would have missed major downturns like the dot-com crash and financial crisis, lag
Achieving Consistent Modeling Of VIX and Equities DerivativesVolatility
1) Discuss model complexity and calibration
2) Emphasize intuitive and robust calibration of sophisticated volatility models avoiding non-linear calibrations
3) Present local stochastic volatility models with jumps to achieve joint calibration to VIX options and (short-term) S&P500 options
4) Present two factor stochastic volatility model to fit both the short-term and long-term S&P500 option skews
Arbitrage-free Volatility Surfaces for Equity FuturesAntonie Kotzé
This document discusses methods for estimating and representing volatility surfaces and skews from options market data. It examines studies on estimating skews both parametrically, by fitting functions like quadratic curves to market data, and nonparametrically without assuming a function form. For liquid markets like the ALSI, skews derived from data are curved rather than linear. Estimating skews is challenging with limited or illiquid data. The document also discusses applying principal component analysis to decompose the main drivers of skew changes over time.
Deterministic Shift Extension of Affine Models for Variance DerivativesGabriele Pompa, PhD
This document presents the dissertation of Gabriele Pompa on deterministic shift extension of affine models for variance derivatives. The dissertation was submitted in 2016 for a PhD in computer science, decision science, and management science from IMT School for Advanced Studies in Lucca, Italy.
The dissertation consists of an empirical analysis of the Heston++ model, which is an affine model proposed by the author for consistently pricing Standard & Poor's 500 index options and volatility index (VIX) derivatives. The model incorporates a multi-factor Heston volatility structure, jumps in both price and volatility, and an additive displacement on the instantaneous volatility dynamics.
The author calibrates the Heston++ model to SPX and
This document proposes using a Wishart process framework to price options on the CBOE Volatility Index (VIX). The model allows for multifactor stochastic volatility and stochastic correlations between factors. It claims the model is analytically tractable while flexible enough to efficiently price VIX options. Empirical evidence shows modeling multiple stochastic volatility factors can better fit implied volatilities by capturing higher conditional moments. The document also reviews previous literature on VIX option pricing and presents stylized facts about the VIX market, such as its negative correlation with the S&P 500.
Using Volatility Instruments As Extreme Downside Hedges-August 23, 2010Ryan Renicker CFA
“Long volatility” is thought to be an effective hedge against a long equity portfolio, especially during periods of extreme market volatility. This study examines using volatility futures and variance futures as extreme downside hedges, and compares their effectiveness against traditional “long volatility” hedging instruments such as out-of-the-money put options. Our results show that CBOE VIX and variance futures are more effective extreme downside hedges than out-of-the-money put options on the S&P 500 index, especially when reasonable actual and/or estimated costs of rolling contracts have taken into account. In particular, using 1-month rolling as well as 3-month rolling VIX futures presents a cost-effective choice as hedging instruments for extreme downside risk protection as well as for upside preservation.
The document presents a methodology for assessing risk in commodity markets using semi-nonparametric specifications. It evaluates Value-at-Risk and Expected Shortfall for commodity exchange-traded funds using ARMA-EGARCH models with skewed-t and Gram-Charlier distributions. Backtesting shows the semi-parametric models have better coverage and performance than more traditional distributions. The Gram-Charlier distribution provides a closed-form expression for Expected Shortfall and is recommended for mitigating concerns about commodity market risk assessment. Future work could apply other risk measures to commodity assets and compare results with additional backtesting methods.
Execution at the Fix (WM/Reuters benchmark exchange rate) is a service offered by brokers provided they obtain the trade order before 4pm GMT. We examine the relationship between equity and foreign exchange markets and discover an anomaly between equities and foreign exchange markets during this window. We develop an algorithmic trading strategy to exploit this anomaly and evaluate the efficacy of various statistical machine learning techniques in executing the trading strategy. Our most optimal simulated strategy produced an out-of-sample annual cumulative return of 4.02% and an annualized Sharpe ratio of 3.43.
JUMPING RISK IN TAIWAN AND TAIEX OPTION RETURN IN TAIWAN ijcsit
With low-interest environment in recent years, investment of financial commodity was unable to meet the requirements of necessary paid by society. Therefore, the traditional financial tool were replacing with derivative financial commodity which were high risk, high lever, and high complex; including option, forward contract, futures, credit default swap, and collateralized debt obligations. Global Board Options Exchanges were founded in 1983 that S&PS00 (SPX) index option which launched by the Chicago Board Options Exchange (CBOE). Moreover CBOE was the option which target on trade index at the earliest, and CBOE was the most popular exchange with option trade. Taiwan Futures Exchange (TFE) launched Taiwan weighted index options (TXO) in December 2001 and, and launched stock options in 2003. Currently TXO was the most actively traded options market in Taiwan, but almost had no stock options trading volume due to the release of warrants market. However warrants market and individual stock options had higher homogeneous and better mobility to influence the stock options market. Although Taiwan options market started lately, develops quite fast, the option of Taiwan index was the sixth volume in the global select token name in 2013, that showed that Taiwan index options was a good target on the options-related research. Due to the globalization of financial markets, the single original market waved turn into the global storm which that affected financial asset prices were no longer continuous fluctuations, and it showed a leaps of change by the Butterfly Effect. Because the price process included continuity and discontinuity, the spread and jump process was more accurate than Brownian motion (BM). Currently the derivatives study biased on interest rate futures, foreign futures or foreign exchange futures options and Taiwan index futures options. By the way, the study about the jumping risks related to Taiwan index options effects is rare.
This booklet is a compilation of selected research papers on European volatility as well as a series of articles highlighting real life applications for VSTOXX® products.
► Visit our website: http://www.eurexchange.com
► Twitter: http://twitter.com/eurexgroup
► LinkedIn: http://www.linkedin.com/company/eurex
Discussion world finance coference, Italy - Juan A. SerurJuan Andrés Serur
This presentation shows the discussion of the following paper: Financialization of Commodity Markets - Evidence from European Certificates Markets. The main idea is to analyze how the financialization of commodity markets (through different investment vehicles) affects spot markets.
This document analyzes the impact of futures trading on market volatility in the Indian equity market, specifically looking at the S&P CNX IT index. It first reviews previous literature which reports mixed findings on the effect of derivatives introduction on volatility. The document then outlines the GARCH methodology used to model conditional volatility in the index returns series before and after the introduction of futures trading in India. Preliminary results found increased market volatility after futures listing, but sensitivity of returns to domestic and global markets remained unchanged. The nature of volatility also altered, with prices becoming more dependent on recent innovations post-derivatives, indicating improved efficiency.
The reason why should undergo into the arbitrage trading is very simple and its because its risk free investment option. Though it contains certain risk if one fails to follow the protocol define for Arbitrage Trading. Usually Arbitrage is risk free until and unless there is no financial crises.
The document discusses modeling volatility for European carbon markets using stochastic volatility (SV) models. It outlines estimating SV model parameters from market data, re-projecting conditional volatility, and using the re-projected volatility to price options and calculate implied volatilities. The modeling approach involves projecting historical returns, estimating an SV model, and then re-projecting conditional volatility and pricing options based on the estimated model. Parameters are estimated for both the NASDAQ OMX and Intercontinental Exchange carbon markets and model diagnostics are presented.
The document discusses modeling volatility for European carbon markets using stochastic volatility (SV) models. It outlines estimating SV model parameters from market data, simulating conditional volatility distributions, and using these to price options and evaluate market pricing errors. The modeling approach involves projecting returns from an SV model, estimating parameters, and then re-projecting to obtain conditional volatility forecasts for option pricing. Estimated model parameters and implied volatilities from major European carbon exchanges are presented and compared.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
This article examines volatility surfaces, which describe how implied volatility varies with strike price and time to maturity for options on an underlying asset. It develops a no-arbitrage condition for how volatility surfaces evolve over time. The paper investigates several rules of thumb used by traders to manage volatility surfaces. It also empirically tests whether movements in volatility surfaces are consistent with these rules using over-the-counter data on S&P 500 options. Finally, the paper estimates factors driving volatility surface movements in a way that reflects the theoretical drifts implied by no-arbitrage.
A Comparison of Hsu &Wang Model and Cost of Carry Model: The case of Stock In...iosrjce
The study empirically tests and compares the pricing performance of two alternative futures pricing
models; the standard Cost of Carry Model and Hsu & Wang Model (2004) for three futures indices of National
Stock Exchange (NSE), India – CNX Nifty futures, Bank Nifty futures and CNX IT futures. It is found that, the
Hsu & Wang Model with an argument of incomplete arbitrage mechanism and real capital markets are
imperfect, provides much better pricing performance than the standard Cost of Carry Model for all the three
futures markets. On the basis of Mean Absolute Pricing Error (MAPE), CNX Nifty Futures contract with highest
trading history and trading volume is preferred, followed by Bank Nifty futures and CNX IT futures contract for
both the pricing models. This result implies that Indian futures markets are imperfect and arbitrage process
cannot complete. Degree of market imperfection might influence the pricing error. Therefore, investors should
know the degree of market imperfection of the futures markets in which they would like to participate.
Statistical Arbitrage
Pairs Trading, Long-Short Strategy
Cyrille BEN LEMRID

1 Pairs Trading Model 5
1.1 Generaldiscussion ................................ 5 1.2 Cointegration ................................... 6 1.3 Spreaddynamics ................................. 7
2 State of the art and model overview 9
2.1 StochasticDependenciesinFinancialTimeSeries . . . . . . . . . . . . . . . 9 2.2 Cointegration-basedtradingstrategies ..................... 10 2.3 FormulationasaStochasticControlProblem. . . . . . . . . . . . . . . . . . 13 2.4 Fundamentalanalysis............................... 16
3 Strategies Analysis 19
3.1 Roadmapforstrategydesign .......................... 19 3.2 Identificationofpotentialpairs ......................... 19 3.3 Testingcointegration ............................... 20 3.4 Riskcontrolandfeasibility............................ 20
4 Results
22
2
Contents

Introduction
This report presents my research work carried out at Credit Suisse from May to September 2012. This study has been pursued in collaboration with the Global Arbitrage Strategies team.
Quantitative analysis strategy developers use sophisticated statistical and optimization techniques to discover and construct new algorithms. These algorithms take advantage of the short term deviation from the ”fair” securities’ prices. Pairs trading is one such quantitative strategy - it is a process of identifying securities that generally move together but are currently ”drifting away”.
Pairs trading is a common strategy among many hedge funds and banks. However, there is not a significant amount of academic literature devoted to it due to its proprietary nature. For a review of some of the existing academic models, see [6], [8], [11] .
Our focus for this analysis is the study of two quantitative approaches to the problem of pairs trading, the first one uses the properties of co-integrated financial time series as a basis for trading strategy, in the second one we model the log-relationship between a pair of stock prices as an Ornstein-Uhlenbeck process and use this to formulate a portfolio optimization based stochastic control problem.
This study was performed to show that under certain assumptions the two approaches are equivalent.
Practitioners most often use a fundamentally driven approach, analyzing the performance of stocks around a market event and implement strategies using back-tested trading levels.
We also study an example of a fundamentally driven strategy, using market reaction to a stock being dropped or added to the MSCI World Standard, as a signal for a pair trading strategy on those stocks once their inclusion/exclusion has been made effective.
This report is organized as follows. Section 1 provides some background on pairs trading strategy. The theoretical results are described in Section 2. Section 3
This document summarizes a study that investigates the impact of exchange rate volatility on bilateral trade flows between 13 countries from 1980 to 1998. It finds that the relationship is nonlinear and depends on the interaction between exchange rate volatility and economic uncertainty in the importing country. In contrast to prior studies using aggregate data, this study uses monthly bilateral trade data and computes exchange rate volatility from daily rates. It also introduces a new variable for foreign income uncertainty and its interaction with exchange rate volatility to account for potential nonlinearities. The results show exchange rate volatility can have indirect effects on trade through its interaction with income volatility, and income uncertainty itself may influence trade flows.
This paper investigates the impact of exchange rate volatility on bilateral trade flows using monthly export data from 13 countries from 1980 to 1998. It finds that the relationship is nonlinear and depends on the interaction between exchange rate volatility and economic uncertainty in the importing country. In contrast to prior studies using aggregate data, this paper employs a measure of exchange rate volatility calculated from daily exchange rate data. It also controls for uncertainty in foreign income levels and includes an interaction term to capture indirect effects. The results show exchange rate volatility does not have a simple linear relationship with trade flows and that uncertainty in foreign income may significantly impact trade for some country pairs. This suggests the effects of exchange rate volatility are more complex than portrayed in previous empirical work.
The Predictive Power of Intraday-Data Volatility Forecasting Models: A Case S...inventionjournals
The purpose of this study was to compare the predictive power of various volatility forecasting models. Using intraday high-frequency data, this study investigated the influence of time frequency on the predictive power of a volatility forecasting model. The empirical results revealed that the realized volatility increased when the time frequency of forecasts reduced. The overall results showed that when the forecast range was 1 day, among various volatility forecasting models, the autoregressive moving average-generalized autoregressive conditional heteroskedasticity(1, 1) model presented the optimal forecasting performance and the implied volatility model presented the worst forecasting performance for all time frequencies.
RS Group develops cloud-based financial applications for options and derivatives traders. Their suite of tools allows traders to perform large-scale analysis more efficiently using cloud computing. This includes analyzing large portfolios to develop timely hedging strategies. RS Group has designed risk management and analysis software over 10 years. Their software manages risk, calculates hedges and simulations over the cloud, and allows for statistical studies and large-scale analyses. Screenshots show portfolio positions, skew analysis, correlation analysis, beta analysis, and simulation of positions under changing prices and volatility.
Stock Prices valuation of IT Companies in India: An Empirical Study Dr.Punit Kumar Dwivedi
In this paper, we would like to answer the questions such as
Is it worthwhile investing in such software companies?
Will capital appreciation of software companies continue in the future?
It is important to analyze whether investors will be benefitted by investing in this software industry or whether software companies’ outperformance over other industries is just the temporary phase. Finally, we would like to suggest our recommendations over software industries whether investors should buy/sell/hold the stock of these companies based on our analysis.
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
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Similar to Consistent Pricing of VIX Derivatives and SPX Options with the Heston++ model
This document proposes using a Wishart process framework to price options on the CBOE Volatility Index (VIX). The model allows for multifactor stochastic volatility and stochastic correlations between factors. It claims the model is analytically tractable while flexible enough to efficiently price VIX options. Empirical evidence shows modeling multiple stochastic volatility factors can better fit implied volatilities by capturing higher conditional moments. The document also reviews previous literature on VIX option pricing and presents stylized facts about the VIX market, such as its negative correlation with the S&P 500.
Using Volatility Instruments As Extreme Downside Hedges-August 23, 2010Ryan Renicker CFA
“Long volatility” is thought to be an effective hedge against a long equity portfolio, especially during periods of extreme market volatility. This study examines using volatility futures and variance futures as extreme downside hedges, and compares their effectiveness against traditional “long volatility” hedging instruments such as out-of-the-money put options. Our results show that CBOE VIX and variance futures are more effective extreme downside hedges than out-of-the-money put options on the S&P 500 index, especially when reasonable actual and/or estimated costs of rolling contracts have taken into account. In particular, using 1-month rolling as well as 3-month rolling VIX futures presents a cost-effective choice as hedging instruments for extreme downside risk protection as well as for upside preservation.
The document presents a methodology for assessing risk in commodity markets using semi-nonparametric specifications. It evaluates Value-at-Risk and Expected Shortfall for commodity exchange-traded funds using ARMA-EGARCH models with skewed-t and Gram-Charlier distributions. Backtesting shows the semi-parametric models have better coverage and performance than more traditional distributions. The Gram-Charlier distribution provides a closed-form expression for Expected Shortfall and is recommended for mitigating concerns about commodity market risk assessment. Future work could apply other risk measures to commodity assets and compare results with additional backtesting methods.
Execution at the Fix (WM/Reuters benchmark exchange rate) is a service offered by brokers provided they obtain the trade order before 4pm GMT. We examine the relationship between equity and foreign exchange markets and discover an anomaly between equities and foreign exchange markets during this window. We develop an algorithmic trading strategy to exploit this anomaly and evaluate the efficacy of various statistical machine learning techniques in executing the trading strategy. Our most optimal simulated strategy produced an out-of-sample annual cumulative return of 4.02% and an annualized Sharpe ratio of 3.43.
JUMPING RISK IN TAIWAN AND TAIEX OPTION RETURN IN TAIWAN ijcsit
With low-interest environment in recent years, investment of financial commodity was unable to meet the requirements of necessary paid by society. Therefore, the traditional financial tool were replacing with derivative financial commodity which were high risk, high lever, and high complex; including option, forward contract, futures, credit default swap, and collateralized debt obligations. Global Board Options Exchanges were founded in 1983 that S&PS00 (SPX) index option which launched by the Chicago Board Options Exchange (CBOE). Moreover CBOE was the option which target on trade index at the earliest, and CBOE was the most popular exchange with option trade. Taiwan Futures Exchange (TFE) launched Taiwan weighted index options (TXO) in December 2001 and, and launched stock options in 2003. Currently TXO was the most actively traded options market in Taiwan, but almost had no stock options trading volume due to the release of warrants market. However warrants market and individual stock options had higher homogeneous and better mobility to influence the stock options market. Although Taiwan options market started lately, develops quite fast, the option of Taiwan index was the sixth volume in the global select token name in 2013, that showed that Taiwan index options was a good target on the options-related research. Due to the globalization of financial markets, the single original market waved turn into the global storm which that affected financial asset prices were no longer continuous fluctuations, and it showed a leaps of change by the Butterfly Effect. Because the price process included continuity and discontinuity, the spread and jump process was more accurate than Brownian motion (BM). Currently the derivatives study biased on interest rate futures, foreign futures or foreign exchange futures options and Taiwan index futures options. By the way, the study about the jumping risks related to Taiwan index options effects is rare.
This booklet is a compilation of selected research papers on European volatility as well as a series of articles highlighting real life applications for VSTOXX® products.
► Visit our website: http://www.eurexchange.com
► Twitter: http://twitter.com/eurexgroup
► LinkedIn: http://www.linkedin.com/company/eurex
Discussion world finance coference, Italy - Juan A. SerurJuan Andrés Serur
This presentation shows the discussion of the following paper: Financialization of Commodity Markets - Evidence from European Certificates Markets. The main idea is to analyze how the financialization of commodity markets (through different investment vehicles) affects spot markets.
This document analyzes the impact of futures trading on market volatility in the Indian equity market, specifically looking at the S&P CNX IT index. It first reviews previous literature which reports mixed findings on the effect of derivatives introduction on volatility. The document then outlines the GARCH methodology used to model conditional volatility in the index returns series before and after the introduction of futures trading in India. Preliminary results found increased market volatility after futures listing, but sensitivity of returns to domestic and global markets remained unchanged. The nature of volatility also altered, with prices becoming more dependent on recent innovations post-derivatives, indicating improved efficiency.
The reason why should undergo into the arbitrage trading is very simple and its because its risk free investment option. Though it contains certain risk if one fails to follow the protocol define for Arbitrage Trading. Usually Arbitrage is risk free until and unless there is no financial crises.
The document discusses modeling volatility for European carbon markets using stochastic volatility (SV) models. It outlines estimating SV model parameters from market data, re-projecting conditional volatility, and using the re-projected volatility to price options and calculate implied volatilities. The modeling approach involves projecting historical returns, estimating an SV model, and then re-projecting conditional volatility and pricing options based on the estimated model. Parameters are estimated for both the NASDAQ OMX and Intercontinental Exchange carbon markets and model diagnostics are presented.
The document discusses modeling volatility for European carbon markets using stochastic volatility (SV) models. It outlines estimating SV model parameters from market data, simulating conditional volatility distributions, and using these to price options and evaluate market pricing errors. The modeling approach involves projecting returns from an SV model, estimating parameters, and then re-projecting to obtain conditional volatility forecasts for option pricing. Estimated model parameters and implied volatilities from major European carbon exchanges are presented and compared.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
This article examines volatility surfaces, which describe how implied volatility varies with strike price and time to maturity for options on an underlying asset. It develops a no-arbitrage condition for how volatility surfaces evolve over time. The paper investigates several rules of thumb used by traders to manage volatility surfaces. It also empirically tests whether movements in volatility surfaces are consistent with these rules using over-the-counter data on S&P 500 options. Finally, the paper estimates factors driving volatility surface movements in a way that reflects the theoretical drifts implied by no-arbitrage.
A Comparison of Hsu &Wang Model and Cost of Carry Model: The case of Stock In...iosrjce
The study empirically tests and compares the pricing performance of two alternative futures pricing
models; the standard Cost of Carry Model and Hsu & Wang Model (2004) for three futures indices of National
Stock Exchange (NSE), India – CNX Nifty futures, Bank Nifty futures and CNX IT futures. It is found that, the
Hsu & Wang Model with an argument of incomplete arbitrage mechanism and real capital markets are
imperfect, provides much better pricing performance than the standard Cost of Carry Model for all the three
futures markets. On the basis of Mean Absolute Pricing Error (MAPE), CNX Nifty Futures contract with highest
trading history and trading volume is preferred, followed by Bank Nifty futures and CNX IT futures contract for
both the pricing models. This result implies that Indian futures markets are imperfect and arbitrage process
cannot complete. Degree of market imperfection might influence the pricing error. Therefore, investors should
know the degree of market imperfection of the futures markets in which they would like to participate.
Statistical Arbitrage
Pairs Trading, Long-Short Strategy
Cyrille BEN LEMRID

1 Pairs Trading Model 5
1.1 Generaldiscussion ................................ 5 1.2 Cointegration ................................... 6 1.3 Spreaddynamics ................................. 7
2 State of the art and model overview 9
2.1 StochasticDependenciesinFinancialTimeSeries . . . . . . . . . . . . . . . 9 2.2 Cointegration-basedtradingstrategies ..................... 10 2.3 FormulationasaStochasticControlProblem. . . . . . . . . . . . . . . . . . 13 2.4 Fundamentalanalysis............................... 16
3 Strategies Analysis 19
3.1 Roadmapforstrategydesign .......................... 19 3.2 Identificationofpotentialpairs ......................... 19 3.3 Testingcointegration ............................... 20 3.4 Riskcontrolandfeasibility............................ 20
4 Results
22
2
Contents

Introduction
This report presents my research work carried out at Credit Suisse from May to September 2012. This study has been pursued in collaboration with the Global Arbitrage Strategies team.
Quantitative analysis strategy developers use sophisticated statistical and optimization techniques to discover and construct new algorithms. These algorithms take advantage of the short term deviation from the ”fair” securities’ prices. Pairs trading is one such quantitative strategy - it is a process of identifying securities that generally move together but are currently ”drifting away”.
Pairs trading is a common strategy among many hedge funds and banks. However, there is not a significant amount of academic literature devoted to it due to its proprietary nature. For a review of some of the existing academic models, see [6], [8], [11] .
Our focus for this analysis is the study of two quantitative approaches to the problem of pairs trading, the first one uses the properties of co-integrated financial time series as a basis for trading strategy, in the second one we model the log-relationship between a pair of stock prices as an Ornstein-Uhlenbeck process and use this to formulate a portfolio optimization based stochastic control problem.
This study was performed to show that under certain assumptions the two approaches are equivalent.
Practitioners most often use a fundamentally driven approach, analyzing the performance of stocks around a market event and implement strategies using back-tested trading levels.
We also study an example of a fundamentally driven strategy, using market reaction to a stock being dropped or added to the MSCI World Standard, as a signal for a pair trading strategy on those stocks once their inclusion/exclusion has been made effective.
This report is organized as follows. Section 1 provides some background on pairs trading strategy. The theoretical results are described in Section 2. Section 3
This document summarizes a study that investigates the impact of exchange rate volatility on bilateral trade flows between 13 countries from 1980 to 1998. It finds that the relationship is nonlinear and depends on the interaction between exchange rate volatility and economic uncertainty in the importing country. In contrast to prior studies using aggregate data, this study uses monthly bilateral trade data and computes exchange rate volatility from daily rates. It also introduces a new variable for foreign income uncertainty and its interaction with exchange rate volatility to account for potential nonlinearities. The results show exchange rate volatility can have indirect effects on trade through its interaction with income volatility, and income uncertainty itself may influence trade flows.
This paper investigates the impact of exchange rate volatility on bilateral trade flows using monthly export data from 13 countries from 1980 to 1998. It finds that the relationship is nonlinear and depends on the interaction between exchange rate volatility and economic uncertainty in the importing country. In contrast to prior studies using aggregate data, this paper employs a measure of exchange rate volatility calculated from daily exchange rate data. It also controls for uncertainty in foreign income levels and includes an interaction term to capture indirect effects. The results show exchange rate volatility does not have a simple linear relationship with trade flows and that uncertainty in foreign income may significantly impact trade for some country pairs. This suggests the effects of exchange rate volatility are more complex than portrayed in previous empirical work.
The Predictive Power of Intraday-Data Volatility Forecasting Models: A Case S...inventionjournals
The purpose of this study was to compare the predictive power of various volatility forecasting models. Using intraday high-frequency data, this study investigated the influence of time frequency on the predictive power of a volatility forecasting model. The empirical results revealed that the realized volatility increased when the time frequency of forecasts reduced. The overall results showed that when the forecast range was 1 day, among various volatility forecasting models, the autoregressive moving average-generalized autoregressive conditional heteroskedasticity(1, 1) model presented the optimal forecasting performance and the implied volatility model presented the worst forecasting performance for all time frequencies.
RS Group develops cloud-based financial applications for options and derivatives traders. Their suite of tools allows traders to perform large-scale analysis more efficiently using cloud computing. This includes analyzing large portfolios to develop timely hedging strategies. RS Group has designed risk management and analysis software over 10 years. Their software manages risk, calculates hedges and simulations over the cloud, and allows for statistical studies and large-scale analyses. Screenshots show portfolio positions, skew analysis, correlation analysis, beta analysis, and simulation of positions under changing prices and volatility.
Stock Prices valuation of IT Companies in India: An Empirical Study Dr.Punit Kumar Dwivedi
In this paper, we would like to answer the questions such as
Is it worthwhile investing in such software companies?
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Consistent Pricing of VIX Derivatives and SPX Options with the Heston++ model
1. Introduction
Our approach
Empirical investigation
Conclusions
Consistent Pricing of VIX Derivatives
and SPX Options
with the Heston++ model
G. Pompa1 C. Pacati2 R. Renò2
1IMT Institute for Advanced Studies Lucca, Italy
2Dipartimento di Economia Politica e Statistica
Università di Siena, Italy
XVI Workshop on Quantitative Finance, Parma 2015
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
2. Introduction
Our approach
Empirical investigation
Conclusions
Outline
1 Introduction
The problem
VIX & Co.
Standard approaches
2 Our approach
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
3 Empirical investigation
Data
SPX Vanilla + VIX Futures calibration
VIX options pricing out-of-sample
4 Conclusions
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
3. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
The problem
The growing demand for trading volatility and managing
volatility risk has lead today to a liquid market for derivatives on
realized variance, such as VIX options and VIX futures. These
are derivatives written on S&P500 volatility index (VIX):
there is need of a pricing framework for consistent pricing
both equity derivatives and volatility derivatives;
since SPX and VIX derivatives both provide informations
on the same volatility process, a model which is able to
price one market, but not the other, is inherently
misspecified;
if a model is misspecified, inferred dynamics and
risk-premia are unreliable.
we tackle the problem of jointly fit the IV surface of SPX index
options, together with the term structure of VIX futures.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
4. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
The problem
The growing demand for trading volatility and managing
volatility risk has lead today to a liquid market for derivatives on
realized variance, such as VIX options and VIX futures. These
are derivatives written on S&P500 volatility index (VIX):
there is need of a pricing framework for consistent pricing
both equity derivatives and volatility derivatives;
since SPX and VIX derivatives both provide informations
on the same volatility process, a model which is able to
price one market, but not the other, is inherently
misspecified;
if a model is misspecified, inferred dynamics and
risk-premia are unreliable.
we tackle the problem of jointly fit the IV surface of SPX index
options, together with the term structure of VIX futures.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
5. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
The problem
The growing demand for trading volatility and managing
volatility risk has lead today to a liquid market for derivatives on
realized variance, such as VIX options and VIX futures. These
are derivatives written on S&P500 volatility index (VIX):
there is need of a pricing framework for consistent pricing
both equity derivatives and volatility derivatives;
since SPX and VIX derivatives both provide informations
on the same volatility process, a model which is able to
price one market, but not the other, is inherently
misspecified;
if a model is misspecified, inferred dynamics and
risk-premia are unreliable.
we tackle the problem of jointly fit the IV surface of SPX index
options, together with the term structure of VIX futures.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
6. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
The problem
The growing demand for trading volatility and managing
volatility risk has lead today to a liquid market for derivatives on
realized variance, such as VIX options and VIX futures. These
are derivatives written on S&P500 volatility index (VIX):
there is need of a pricing framework for consistent pricing
both equity derivatives and volatility derivatives;
since SPX and VIX derivatives both provide informations
on the same volatility process, a model which is able to
price one market, but not the other, is inherently
misspecified;
if a model is misspecified, inferred dynamics and
risk-premia are unreliable.
we tackle the problem of jointly fit the IV surface of SPX index
options, together with the term structure of VIX futures.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
7. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
The problem
The growing demand for trading volatility and managing
volatility risk has lead today to a liquid market for derivatives on
realized variance, such as VIX options and VIX futures. These
are derivatives written on S&P500 volatility index (VIX):
there is need of a pricing framework for consistent pricing
both equity derivatives and volatility derivatives;
since SPX and VIX derivatives both provide informations
on the same volatility process, a model which is able to
price one market, but not the other, is inherently
misspecified;
if a model is misspecified, inferred dynamics and
risk-premia are unreliable.
we tackle the problem of jointly fit the IV surface of SPX index
options, together with the term structure of VIX futures.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
8. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
VIX: stylized facts
Introduced in 1993, the VIX quotation is computed by CBOE as
a model-free replication of the S&P500 realized volatility over
the following 30 days (CBOE VIX white paper, 2003):
Leverage effect: inverse relationship SPX-VIX
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
9. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
VIX: stylized facts
Introduced in 1993, the VIX quotation is computed by CBOE as
a model-free replication of the S&P500 realized volatility over
the following 30 days (CBOE VIX white paper, 2003):
Positively skewed and leptokurtic distribution (years
1990-2013 plotted)
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
10. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
Modeling VIX and VIX derivatives: literature review
Standalone approach: volatility is directly modeled,
separated from the underlying stock price process (Whaley
1993, Grünbichler and Longstaff 1996, Detemple and
Osakwe 2000, Mencia and Sentana 2013);
Consistent approach: VIX is derived from the specification
of SPX dynamics (Bardgett, Gourier and Leippold 2013,
Cont Kokholm 2013).
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
11. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
Modeling VIX and VIX derivatives: literature review
Gatheral (2008): inadequacy of Heston model in reproducing
positive skew of VIX options IV
Figure : Call options on VIX, 29/06/2009.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
12. Introduction
Our approach
Empirical investigation
Conclusions
The problem
VIX & Co.
Standard approaches
Modeling VIX and VIX derivatives: literature review
Gatheral (2008): inadequacy of Heston model in reproducing
positive skew of VIX options IV ⇒ Sepp (2008 a,b) adds
volatility jumps
Figure : Call options on VIX, 29/06/2009.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
13. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
The basic Heston++ model
Pacati, Renò and Santilli (2014) consider a deterministic shift
extension (Brigo and Mercurio in short rates modeling, 2001) of
the SV of the Heston class of models: the Heston++ model
(H1f++) is the basic example
dSt
St
= (r − q)dt + σ2
t + φt dWS
t
dσ2
t = α(β − σ2
t )dt + Λσt dWσ
t
(1)
under Q, where φ0 = 0, φt ≥ 0 is called the displacement and
the model is affine provided that
corr(dWS
t , dWσ
t ) = ρ
σ2
t
σ2
t + φt
dt (2)
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
14. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
The basic Heston++ model
The displacement φ increases the flexibility in fitting the ATM
term structure
H1f Vs H1f++ e/US$ FX options, July 3, 2009. Source: Pacati, C., Renò, R. and
Santilli, M. (2014). Heston Model: shifting on the volatility surface. Risk (2014)
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
15. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
The basic Heston++ model
The displacement φ increases the flexibility in fitting the ATM
term structure of IV surface ⇒ eases the fit of the whole surface
H1f Vs H1f++ e/US$ FX options, July 3, 2009. Source: Pacati, C., Renò, R. and
Santilli, M. (2014). Heston Model: shifting on the volatility surface. Risk (2014)
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
16. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
Multifactor extensions
We consider several multifactor affine specifications for the
S&P500 dynamics (φt ≡ 0), along with their displaced
counterparts (φt ≥ 0):
classical H1f Heston (1993);
two factor H2f (Christoffelsen, Heston and Jacob, 2009);
models with jump in price only: Bates (1996) like model
H1fj and corresponding two factor version H2fj;
H1fcoj model with synchronous correlated jumps in price
and in volatility (Duffie, Pan and Singleton, 2000) and two
factor version H2fcoj;
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
17. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
The Heston 2-factor and co-jumps ++ model
The most general specification for the S&P500 dynamics that
we consider is the H2fcoj++ model, under Q:
dSt
St−
= (r − q − λ¯µ) dt + σ2
1,t + φt dWS
1,t + σ2,t dWS
2,t + (ezx
− 1)dNt
dσ2
1,t = α1(β1 − σ2
1,t )dt + Λ1σ1,t dWσ
1,t + z1dNt
dσ2
2,t = α2(β2 − σ2
2,t )dt + Λ2σ2,t dWσ
2,t
where jumps are (zx , z1) ∼ N µx + ρJz1, δ2
x × E(µ1) and
corr(dWS
1,t , dWσ
1,t ) = ρ1
σ2
1,t
σ2
1,t + φt
dt
corr(dWS
2,t , dWσ
2,t ) = ρ2dt
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
18. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
SPX vanilla option pricing in the H2fcoj++ model
Under H2fcoj++, the arbitrage free price of a Call on S&P500
(Bakshi Madan 2000 and Schoutens 2003 if φt ≡ 0)
C(t, T, K) = St e−qτ
Q1 − Ke−rτ
Q2 (1)
Q1 =
1
2
+
1
π
∞
0
Re
e−iz log K f(z − i)
izf(−i)
dz
Q2 =
1
2
+
1
π
∞
0
Re
e−iz log K f(z)
iz
dz
(2)
where f(z) = EQ[eiz log ST |Ft ] is the risk-neutral conditional CF
of log-index at maturity (τ = T − t, Iφ(t1, t2) =
t2
t1
φt dt)
f(z; log St , σ2
1,t , σ2
2,t , t, T) = fH
(z; log St , σ2
1,t , σ2
2,t , τ)
H2fcoj CF
×
++ correction
e−1
2
z(i+z)Iφ(t,T)
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
19. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
SPX vanilla option pricing in the H2fcoj++ model
Under H2fcoj++, the arbitrage free price of a Call on S&P500
(Bakshi Madan 2000 and Schoutens 2003 if φt ≡ 0)
C(t, T, K) = St e−qτ
Q1 − Ke−rτ
Q2 (1)
Q1 =
1
2
+
1
π
∞
0
Re
e−iz log K f(z − i)
izf(−i)
dz
Q2 =
1
2
+
1
π
∞
0
Re
e−iz log K f(z)
iz
dz
(2)
where f(z) = EQ[eiz log ST |Ft ] is the risk-neutral conditional CF
of log-index at maturity (τ = T − t, Iφ(t1, t2) =
t2
t1
φt dt)
f(z; log St , σ2
1,t , σ2
2,t , t, T) = fH
(z; log St , σ2
1,t , σ2
2,t , τ)
H2fcoj CF
×
++ correction
e−1
2
z(i+z)Iφ(t,T)
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
20. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
VIX index in the H2fcoj++ model
The squared VIXt is an affine function of the volatility state
vector Σt = (σ1,t , σ2,t ) :
VIXt
100
2
= Aφ(t, ¯τ) + B(¯τ) · Σt (3)
where ¯τ = 30/365 and
Aφ(t, ¯τ) = A(¯τ)
affinity
+
++ correction
1
¯τ
Iφ(t, t + ¯τ) (4)
Coefficients A(¯τ) and B(¯τ) depend on the VIX time scale ¯τ only.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
21. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
VIX Futures & Options in the H2fcoj++ model
Price of a tenor T VIX futures is (Zhu and Lian 2012, if φt ≡ 0)
FT
t
100
=
1
2
√
π
∞
0
1 − e−sAφ(T,¯τ)F(isB(¯τ))
s3/2
ds
and for a Call option on VIX (Lian and Zhu 2013, if φt ≡ 0)
C(t, T, K)
100
=
e−rτ
2
√
π
∞
0
Re e−izAφ(T,¯τ)
F(−zB(¯τ))
1 − erf(K/100
√
−iz)
(−iz)3/2
dRe(z)
Volatility factor CF does not depend on displacement φ
F(Z1, Z2; σ2
1,t , σ2
2,t , t, T) = EQ
[eiZ1σ2
1,T +iZ2σ2
2,T |Ft ] =
k=1,2
Fk (Zk , σ2
k,t , τ)
factorizes in 1-factor CFs (Duffie, Pan and Singleton, 2000).
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
22. Introduction
Our approach
Empirical investigation
Conclusions
The basic Heston++ model
Multifactor ++ extensions
SPX Vanilla pricing
VIX index modeling
VIX Futures and Options pricing
VIX Futures & Options in the H2fcoj++ model
Price of a tenor T VIX futures is (Zhu and Lian 2012, if φt ≡ 0)
FT
t
100
=
1
2
√
π
∞
0
1 − e−sAφ(T,¯τ)F(isB(¯τ))
s3/2
ds
and for a Call option on VIX (Lian and Zhu 2013, if φt ≡ 0)
C(t, T, K)
100
=
e−rτ
2
√
π
∞
0
Re e−izAφ(T,¯τ)
F(−zB(¯τ))
1 − erf(K/100
√
−iz)
(−iz)3/2
dRe(z)
Volatility factor CF does not depend on displacement φ
F(Z1, Z2; σ2
1,t , σ2
2,t , t, T) = EQ
[eiZ1σ2
1,T +iZ2σ2
2,T |Ft ] =
k=1,2
Fk (Zk , σ2
k,t , τ)
factorizes in 1-factor CFs (Duffie, Pan and Singleton, 2000).
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
23. Introduction
Our approach
Empirical investigation
Conclusions
Data
SPX Vanilla + VIX Futures calibration
VIX options pricing out-of-sample
Data: SPX Vanilla & VIX Futures
Figure : Implied volatility surface, European calls and puts on S&P500, 29/06/2009.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
24. Introduction
Our approach
Empirical investigation
Conclusions
Data
SPX Vanilla + VIX Futures calibration
VIX options pricing out-of-sample
Data: SPX Vanilla & VIX Futures
Figure : VIX index and VIX Futures term structure, 29/06/2009.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
25. Introduction
Our approach
Empirical investigation
Conclusions
Data
SPX Vanilla + VIX Futures calibration
VIX options pricing out-of-sample
Data: SPX Vanilla & VIX Futures
We optimize parameters of each model on the SPX volatility surface and VIX futures
term structure minimizing the normalized SSE:
loss(π) =
{Vanilla}
IV%
MKT − IV%
model (π)
2
+
NVanilla
NVIX-Futures {VIX-Futures}
FMKT −Fmodel (π)
2
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
26. Introduction
Our approach
Empirical investigation
Conclusions
Data
SPX Vanilla + VIX Futures calibration
VIX options pricing out-of-sample
SPX + VIX Futures
Figure : Fit error on SPX Vanilla surface and VIX Futures term structure separately,
calibration on {SPX Vanilla, VIX Futures}, 29/06/2009.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
34. Introduction
Our approach
Empirical investigation
Conclusions
Data
SPX Vanilla + VIX Futures calibration
VIX options pricing out-of-sample
VIX options pricing out-of-sample
Figure : Call options on VIX, 29/06/2009.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
35. Introduction
Our approach
Empirical investigation
Conclusions
Data
SPX Vanilla + VIX Futures calibration
VIX options pricing out-of-sample
VIX options pricing out-of-sample
Figure : Filters for Call options on VIX, 29/06/2009.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
36. Introduction
Our approach
Empirical investigation
Conclusions
Data
SPX Vanilla + VIX Futures calibration
VIX options pricing out-of-sample
VIX options pricing out-of-sample: H2fcoj Vs H2fcoj++
Figure : Call options on VIX, 29/06/2009. Calibration on {Vanilla, VIX Futures} only
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
37. Introduction
Our approach
Empirical investigation
Conclusions
Summary and Conclusions
we have characterized a class of Heston-like displaced models
finding pricing formulas for SPX Vanilla (Pacati, Reno’, Santilli
2014), VIX Futures (new) and VIX Options (new); the
introduction of displacement does not alter the affinity of the
model and comes almost at no additional computational cost
w.r.t. non-displaced model;
we have calibrated several Heston-like affine models on the
S&P500 Vanilla surface together with the VIX Futures term
structure; the displacement looks promising as:
1 improves the fit of SPX surface, especially long-term options;
2 provides an - almost exact - fit of the VIX futures term structure;
3 in out-of-sample exercise it seems to better capture the positive skew of
VIX options surface. In-sample exercises (not shown today) suggest that
displaced models keep doing better over non-displaced models. Work in
progress...
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
38. Introduction
Our approach
Empirical investigation
Conclusions
Summary and Conclusions
we have characterized a class of Heston-like displaced models
finding pricing formulas for SPX Vanilla (Pacati, Reno’, Santilli
2014), VIX Futures (new) and VIX Options (new); the
introduction of displacement does not alter the affinity of the
model and comes almost at no additional computational cost
w.r.t. non-displaced model;
we have calibrated several Heston-like affine models on the
S&P500 Vanilla surface together with the VIX Futures term
structure; the displacement looks promising as:
1 improves the fit of SPX surface, especially long-term options;
2 provides an - almost exact - fit of the VIX futures term structure;
3 in out-of-sample exercise it seems to better capture the positive skew of
VIX options surface. In-sample exercises (not shown today) suggest that
displaced models keep doing better over non-displaced models. Work in
progress...
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
39. Introduction
Our approach
Empirical investigation
Conclusions
Summary and Conclusions
we have characterized a class of Heston-like displaced models
finding pricing formulas for SPX Vanilla (Pacati, Reno’, Santilli
2014), VIX Futures (new) and VIX Options (new); the
introduction of displacement does not alter the affinity of the
model and comes almost at no additional computational cost
w.r.t. non-displaced model;
we have calibrated several Heston-like affine models on the
S&P500 Vanilla surface together with the VIX Futures term
structure; the displacement looks promising as:
1 improves the fit of SPX surface, especially long-term options;
2 provides an - almost exact - fit of the VIX futures term structure;
3 in out-of-sample exercise it seems to better capture the positive skew of
VIX options surface. In-sample exercises (not shown today) suggest that
displaced models keep doing better over non-displaced models. Work in
progress...
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
40. Introduction
Our approach
Empirical investigation
Conclusions
Summary and Conclusions
we have characterized a class of Heston-like displaced models
finding pricing formulas for SPX Vanilla (Pacati, Reno’, Santilli
2014), VIX Futures (new) and VIX Options (new); the
introduction of displacement does not alter the affinity of the
model and comes almost at no additional computational cost
w.r.t. non-displaced model;
we have calibrated several Heston-like affine models on the
S&P500 Vanilla surface together with the VIX Futures term
structure; the displacement looks promising as:
1 improves the fit of SPX surface, especially long-term options;
2 provides an - almost exact - fit of the VIX futures term structure;
3 in out-of-sample exercise it seems to better capture the positive skew of
VIX options surface. In-sample exercises (not shown today) suggest that
displaced models keep doing better over non-displaced models. Work in
progress...
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
41. Introduction
Our approach
Empirical investigation
Conclusions
Summary and Conclusions
we have characterized a class of Heston-like displaced models
finding pricing formulas for SPX Vanilla (Pacati, Reno’, Santilli
2014), VIX Futures (new) and VIX Options (new); the
introduction of displacement does not alter the affinity of the
model and comes almost at no additional computational cost
w.r.t. non-displaced model;
we have calibrated several Heston-like affine models on the
S&P500 Vanilla surface together with the VIX Futures term
structure; the displacement looks promising as:
1 improves the fit of SPX surface, especially long-term options;
2 provides an - almost exact - fit of the VIX futures term structure;
3 in out-of-sample exercise it seems to better capture the positive skew of
VIX options surface. In-sample exercises (not shown today) suggest that
displaced models keep doing better over non-displaced models. Work in
progress...
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
42. Introduction
Our approach
Empirical investigation
Conclusions
Summary and Conclusions
we have characterized a class of Heston-like displaced models
finding pricing formulas for SPX Vanilla (Pacati, Reno’, Santilli
2014), VIX Futures (new) and VIX Options (new); the
introduction of displacement does not alter the affinity of the
model and comes almost at no additional computational cost
w.r.t. non-displaced model;
we have calibrated several Heston-like affine models on the
S&P500 Vanilla surface together with the VIX Futures term
structure; the displacement looks promising as:
1 improves the fit of SPX surface, especially long-term options;
2 provides an - almost exact - fit of the VIX futures term structure;
3 in out-of-sample exercise it seems to better capture the positive skew of
VIX options surface. In-sample exercises (not shown today) suggest that
displaced models keep doing better over non-displaced models. Work in
progress...
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
43. Introduction
Our approach
Empirical investigation
Conclusions
Agenda
confirm the effectiveness of the displacement with VIX
options calibrated consistently with SPX vanilla and VIX
futures;
confirm the effectiveness of the displacement on a wider
time domain;
evaluate the effectiveness of the displacement on different
affine specifications, e.g. stochastic mean reverting level
(Bardgett, Gourier and Leippold, 2013), stochastic
vol-of-vol (Branger and Volkert, 2012);
test the time consistency of the displacement (one function
φt per dataset) ⇒ estimate risk premia.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
44. Introduction
Our approach
Empirical investigation
Conclusions
Agenda
confirm the effectiveness of the displacement with VIX
options calibrated consistently with SPX vanilla and VIX
futures;
confirm the effectiveness of the displacement on a wider
time domain;
evaluate the effectiveness of the displacement on different
affine specifications, e.g. stochastic mean reverting level
(Bardgett, Gourier and Leippold, 2013), stochastic
vol-of-vol (Branger and Volkert, 2012);
test the time consistency of the displacement (one function
φt per dataset) ⇒ estimate risk premia.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
45. Introduction
Our approach
Empirical investigation
Conclusions
Agenda
confirm the effectiveness of the displacement with VIX
options calibrated consistently with SPX vanilla and VIX
futures;
confirm the effectiveness of the displacement on a wider
time domain;
evaluate the effectiveness of the displacement on different
affine specifications, e.g. stochastic mean reverting level
(Bardgett, Gourier and Leippold, 2013), stochastic
vol-of-vol (Branger and Volkert, 2012);
test the time consistency of the displacement (one function
φt per dataset) ⇒ estimate risk premia.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
46. Introduction
Our approach
Empirical investigation
Conclusions
Agenda
confirm the effectiveness of the displacement with VIX
options calibrated consistently with SPX vanilla and VIX
futures;
confirm the effectiveness of the displacement on a wider
time domain;
evaluate the effectiveness of the displacement on different
affine specifications, e.g. stochastic mean reverting level
(Bardgett, Gourier and Leippold, 2013), stochastic
vol-of-vol (Branger and Volkert, 2012);
test the time consistency of the displacement (one function
φt per dataset) ⇒ estimate risk premia.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
47. Introduction
Our approach
Empirical investigation
Conclusions
Agenda
confirm the effectiveness of the displacement with VIX
options calibrated consistently with SPX vanilla and VIX
futures;
confirm the effectiveness of the displacement on a wider
time domain;
evaluate the effectiveness of the displacement on different
affine specifications, e.g. stochastic mean reverting level
(Bardgett, Gourier and Leippold, 2013), stochastic
vol-of-vol (Branger and Volkert, 2012);
test the time consistency of the displacement (one function
φt per dataset) ⇒ estimate risk premia.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
49. Appendix References
References I
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(2009).
Grünbichler, Andreas, and Francis A. Longstaff. Valuing futures and options on
volatility. Journal of Banking & Finance 20.6 (1996): 985-1001.
Wang, Zhiguang, and Robert T. Daigler. The performance of VIX option pricing
models: empirical evidence beyond simulation. Journal of Futures Markets 31.3
(2011): 251-281.
Mencia, Javier, and Enrique Sentana. Valuation of VIX derivatives. Journal of
Financial Economics 108.2 (2013): 367-391.
Bardgett, Chris, Elise Gourier, and Markus Leipold. Inferring volatility dynamics
and risk premia from the S&P 500 and VIX markets. Swiss Finance Institute
Research Paper 13-40 (2013).
Cont, Rama, and Thomas Kokholm. A consistent pricing model for index options
and volatility derivatives. Mathematical Finance 23.2 (2013): 248-274.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
50. Appendix References
References II
Gatheral, Jim. Consistent modeling of SPX and VIX options. Bachelier Congress.
2008.
Sepp, Artur. Pricing options on realized variance in the Heston model with jumps
in returns and volatility. Journal of Computational Finance 11.4 (2008): 33.
Sepp, Artur. VIX option pricing in a jump-diffusion model. Risk magazine (2008):
84-89.
Pacati, C., Reno’, R. and Santilli, M. (2014). Heston Model: shifting on the
volatility surface. Risk (2014), November, pp 54-59
Brigo, Damiano, and Fabio Mercurio. A deterministicÐshift extension of
analyticallyÐtractable and timeÐhomogeneous shortÐrate models. Finance and
Stochastics 5.3 (2001): 369-387.
Bakshi, Gurdip, and Dilip Madan. Spanning and derivative-security valuation.
Journal of Financial Economics 55.2 (2000): 205-238.
Schoutens, Wim. Levy processes in Finance: Pricing Financial Derivatives. Wiley,
2003.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
51. Appendix References
References III
Duffie, Darrell, Jun Pan, and Kenneth Singleton. Transform analysis and asset
pricing for affine jump-diffusions. Econometrica 68.6 (2000): 1343-1376.
Zhu, Song-Ping, and Guang-Hua Lian. An analytical formula for VIX futures and
its applications. Journal of Futures Markets 32.2 (2012): 166-190.
Lian, Guang-Hua, and Song-Ping Zhu. Pricing VIX options with stochastic
volatility and random jumps. Decisions in Economics and Finance 36.1 (2013):
71-88.
Heston, Steven L. A closed-form solution for options with stochastic volatility with
applications to bond and currency options. Review of financial studies 6.2 (1993):
327-343.
Christoffersen, Peter, Steven Heston, and Kris Jacobs. The shape and term
structure of the index option smirk: Why multifactor stochastic volatility models
work so well.
Bates, David S. Jumps and stochastic volatility: Exchange rate processes implicit
in deutsche mark options. Review of financial studies 9.1 (1996): 69-107.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options
52. Appendix References
References IV
Branger, Nicole, and Clemens Völkert. The fine structure of variance: Consistent
pricing of VIX derivatives. Paris December 2012 Finance Meeting
EUROFIDAI-AFFI Paper. 2013.
G. Pompa, C. Pacati, R. Renò Consistent Pricing of VIX Derivatives and SPX Options