Dissertations / Theses on the topic 'Implied volatilitie'
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PEDIO, MANUELA. "Essays on the Time Series and Cross-Sectional Predictive Power of Network-Based Volatility Spillover Measures." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/305198.
Full textThis thesis includes two essays that are devoted to study the time-series and cross-sectional predictive power of a newly developed, forward-looking volatility spillover index based on option implied volatilities. In the first essay, we focus on the estimation of the index and on the assessment of whether the (changes in) the index can predict the time-series excess returns of (a set of) individual stocks and of the S&P 500. We also compare the in-sample and out-of-sample predictive power of this index with that of the volatility spillover index proposed by Diebold and Yilmaz (2008, 2012), which is instead based on realized, backward-looking volatilities. While both measures show evidence of in-sample predictive power, only the option-implied measure is able to produce out-of-sample forecasts that outperform a simple historical mean benchmark. We find this predictive power to be exploitable by an investor using simple trading strategies based on the sign of the predicted excess return and also by a mean-variance optimizer. We also show that, despite the predictive outperformance of the implied volatility spillover index is mostly coming from high-volatility periods, the additional forecast power is not subsumed by the inclusion of the VIX (as a proxy of aggregate volatility) in the predictive regressions. In the second essay, we investigate whether volatility spillover risk (in addition to aggregate volatility risk) is priced in the cross-section of US stock returns. To our purpose, we conduct several (parametric and non-parametric) asset pricing tests. First, we sort the stock universe into five quintile portfolios based on their exposure to the implied volatility spillover index that we have developed in the first essay. Second, we use a conditional sorting procedure to control for variables that may have a confounding effect on our results. We find that stocks with a low exposure to volatility spillovers earn an average 6.45% per annum more than stocks with a high exposure to volatility spillovers. This difference persists also after adjusting for risk and when we control for the exposure to aggregate volatility shocks. Finally, we employ a Fama-Mac Beth approach to estimate the risk premium associated with volatility spillover risk; this procedure partly confirms the results from the non-parametric, portfolio sorting analysis, although the premium is lower and generally imprecisely estimated.
Varga, Lukáš. "Effect of Implied Volatility on FX Carry Trade." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-113592.
Full textHanzal, Martin. "Implikovaná volatilita a vyšší momenty rizikově neutrálního rozdělení jako předstihové indikátory realizované volatility." Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-358955.
Full textBrodd, Tobias. "Modeling the Relation Between Implied and Realized Volatility." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273609.
Full textOptioner är en viktig del i dagens finansiella marknad. Det är därför viktigt att kunna förstå när optioner är över- och undervärderade för att vara i framkant av marknaden. För att bestämma detta kan relationen mellan den underliggande tillgångens volatilitet, kallad realiserad volatilitet, och marknadens förväntade volatilitet, kallad implicit volatilitet, analyseras. I den här avhandlingen undersöktes fem modeller för att modellera relationen mellan implicit och realiserad volatilitet. De fem modellerna var en Ornstein–Uhlenbeck modell, två autoregressiva modeller samt två artificiella neurala nätverk. För att analysera modellernas prestanda undersöktes olika nogrannhetsmått för prognoser från modellerna. Signaler från modellerna beräknades även och användes i en simulerad optionshandelsmiljö för att få en bättre förståelse för hur väl de presterar i en handelstillämpning. Resultaten tyder på att artificiella neurala nätverk kan modellera relationen bättre än mer traditionella tidsseriemodellerna. Det visades även att en handelsstrategi baserad på prognoser av relationen kunde generera en signifikant vinst. Det visades dessutom att vinster kunde ökas genom att kombinera en prognosmodell med en modell som klassificerar signaler.
Magnusson, Erik. "Implied Volatility Surface Construction." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-145894.
Full textWang, Guan Jun. "Essays on option-implied volatility." Related electronic resource:, 2007. http://proquest.umi.com/pqdweb?did=1407687881&sid=1&Fmt=2&clientId=3739&RQT=309&VName=PQD.
Full textMarçal, Filipe Miguel Barbosa. "Earnings announcements and implied volatility." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/16739.
Full textEu analisei a reação da volatilidade implícita em opções do tipo europeu subjacentes a ações americanas num curto espaço de tempo antes e depois das divulgações de resultados trimestrais, de 2007 a 2016. Concluí que as empresas que apresentam resultados que não atingem as expetativas dos analistas têm uma menor redução de volatilidade implícita nas opções quando comparadas com empresas que apresentam resultados que atingem ou superam as expetativas dos analistas. Neste estudo encontrei também evidências de uma queda generalizada na volatilidade implícita nos três dias subsequentes às divulgações de resultados. No que corresponde às maturidades, quanto maior a maturidade, menor o impacto das divulgações de resultados no preço das opções. O Mercado de opções aparenta absorver rapidamente a informação mais recente, e contém informação útil sobre as expetativas dos investidores.
I have analyzed the reaction of the Implied Volatility on European style options regarding American equities in a short period before and after quarterly earnings announcements, from 2007 to 2016. I concluded that firms' earnings announcements that fail to meet analyst expectations produce a lower implied volatility drop on options, when compared to earnings announcements that meet/beat analyst expectations. In this study I also found evidence of a general decrease in implied volatility in a three-day window following the earnings announcements. In what regards the maturities of the options it seems the higher the maturity the less impact the earnings announcements have on the option pricing. The options market seems to absorb rapidly the new information, and contain useful information about investors' expectations.
info:eu-repo/semantics/publishedVersion
Roome, Patrick. "Asymptotics of forward implied volatility." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/30764.
Full textYe, Hui. "A Comparison of Local Volatility and Implied Volatility." Thesis, Uppsala universitet, Analys och tillämpad matematik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154745.
Full textCap, Thi Diu. "Implied volatility with HJM–type Stochastic Volatility model." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54938.
Full textJacquier, Antoine. "Implied volatility asymptotics under affine stochastic volatility models." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/6142.
Full textFadone, Luca <1991>. "From model-based to model-free implied volatilities: the VIX index and the new volatility derivatives." Master's Degree Thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10579/10115.
Full textWeiß, Harald [Verfasser], and Gerhard [Akademischer Betreuer] Wagenhals. "Forecasting DAX Volatility: A Comparison of Time Series Models and Implied Volatilities / Harald Weiß ; Betreuer: Gerhard Wagenhals." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2017. http://d-nb.info/1124051759/34.
Full textRoper, Michael Paul Veran Mathematics & Statistics Faculty of Science UNSW. "Implied volatility: general properties and asymptotics." Awarded By:University of New South Wales. Mathematics & Statistics, 2009. http://handle.unsw.edu.au/1959.4/44519.
Full textWickström, Simon. "Jump-Diffusion Models and Implied Volatility." Thesis, Uppsala universitet, Analys och sannolikhetsteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-242054.
Full textCrawford, Danielle Ana. "Estimating Long Term Equity Implied Volatility." Master's thesis, Faculty of Commerce, 2019. http://hdl.handle.net/11427/31366.
Full textZhang, Jun. "Organization & Analysis of Stock Option Market Data." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-theses/34.
Full textKozyreva, Maria. "How reliable is implied volatility A comparison between implied and actual volatility on an index at the Nordic Market." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1635.
Full textVolatility forecast plays a central role in the financial decision making process. An intrinsic purpose of any investor is profit earning. For that purpose investors need to estimate the risk. One of the most efficient
methods to this end is the volatility estimation. In this theses I compare the CBOE Volatility Index, (VIX) with the actual volatility on an index at the Nordic Market. The actual volatility is defined as the one-day-ahead prediction as calculated by using the GARCH(1,1) model. By using the VIX model I performed consecutive predictions 30 days ahead between February the 2nd, 2007 to March
the 6th, 2007. These predictions were compared with the GARCH(1,1) one-day-ahead predictions for the same period. To my knowledge, such comparisons have not been performed earlier on the Nordic Market. The conclusion of the study was that the VIX predictions tends to higher values then the GARCH(1,1) predictions except for large prices upward jumps, which indicates that the VIX is not able to predict future shocks.
Except from these jumps, the VIX more often shows larger value than the GARCH(1,1). This is interpreted as an uncertainly of the prediction. However, the VIX predictions follows the actual volatility reasonable
well. I conclude that the VIX estimation can be used as a reliable estimator of market volatility.
Guo, Zhi Jun Mathematics & Statistics Faculty of Science UNSW. "Small time asymptotics of implied volatility under local volatility models." Publisher:University of New South Wales. Mathematics & Statistics, 2009. http://handle.unsw.edu.au/1959.4/43746.
Full textAhy, Nathaniel, and Mikael Sierra. "Implied Volatility Surface Approximation under a Two-Factor Stochastic Volatility Model." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-40039.
Full textSkoog, Daniel. "Jump processes and the implied volatility curve." Thesis, Uppsala University, Department of Mathematics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-120040.
Full textHafner, Reinhold. "Stochastic implied volatility : a factor-based model /." Berlin [u.a.] : Springer, 2004. http://www.loc.gov/catdir/enhancements/fy0813/2004109369-d.html.
Full textHäfner, Reinhold. "Stochastic implied volatility : a factor-based model /." Berlin ; New York : Springer, 2004. http://www.loc.gov/catdir/enhancements/fy0813/2004109369-d.html.
Full textXiang, Yi. "Implied volatility smirk and non-parametric calibration /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?MATH%202004%20XIANG.
Full textIncludes bibliographical references (leaves 107-114). Also available in electronic version. Access restricted to campus users.
Martini, Paolo. "Forward implied volatility expansions in LSV models." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6343/.
Full textVikberg, Sara, and Julia Björkman. "How Well Does Implied Volatility Predict Future Stock Index Returns and Volatility? : A Study of Option-Implied Volatility Derived from OMXS30 Index Options." Thesis, Stockholms universitet, Företagsekonomiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-187552.
Full textLuensmann, Claire. "Implied volatility spillover in agricultural and energy markets." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17276.
Full textDepartment of Agricultural Economics
Ted C. Schroeder
In recent years, the agricultural markets have been subject to increased prices and unusual levels of elevated volatility. One likely driver of this is the mandated ethanol expansion in the Energy Policy Act of 2005. Previous research has identified relationships in market prices and variability between the energy and grain markets, but little has been done to evaluate volatility spillover across a broader spectrum of agricultural commodities. Additionally, few studies have assessed causal linkages across market implied volatilities. This research examines implied volatility spillover in futures markets across major agricultural commodities and energies. The analysis also determines the time path and magnitude of volatility translation across the markets and compares the causal relationships between pre-ethanol boom and post-ethanol boom time periods. Granger causality tests are conducted using multivariate and bivariate vector autoregressive modeling techniques, and impulse response functions are employed to obtain time paths of the reactions. Overall, results indicate that strong implied volatility spillover relationships exist between the grain markets and between the live cattle and feeder cattle markets. The analysis also finds that the agricultural markets have evolved from lean hogs being the primary volatility leader in the pre-ethanol boom era to corn being the primary volatility leader in the post-ethanol boom era. Despite a high correlation between crude oil and corn volatilities in the post-ethanol boom time period, the causal linkage between the two commodities’ volatilities may not be as definite as other literature suggests.
Sharma, Namit. "Forecasting Oil Price Volatility." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36815.
Full textTests for the relative information content of implied volatilities vis-Ã -vis GARCH time series models are conducted within-sample by estimating nested conditional variance equations with returns information and implied volatilities as explanatory variables. Likelihood ratio tests indicate that both implied volatilities and past returns contribute volatility information. The study also checks for and confirms that the conditional Generalized Error Distribution (GED) better describes fat-tailed returns in the crude oil market as compared to the conditional normal distribution.
Out-of-sample forecasts of volatility using the GARCH GED model, implied volatility, and historical volatility are compared with realized volatility over two-week and four-week horizons to determine forecast accuracy. Forecasts are also evaluated for predictive power by regressing realized volatility on the forecasts. GARCH forecasts, though superior to historical volatility, do not perform as well as implied volatility over the two-week horizon. In the four-week case, historical volatility outperforms both of the other measures. Tests of relative information content show that for both forecast horizons, a combination of implied volatility and historical volatility leaves little information to be added by the GARCH model.
Master of Arts
Nilsson, Oscar, and Okumu Emmanuel Latim. "Does Implied Volatility Predict Realized Volatility? : An Examination of Market Expectations." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-218792.
Full textMusayev, Taleh. "Anomalies in the foreign exchange returns and implied volatilities." Thesis, University of Strathclyde, 2009. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=22008.
Full textGustafsson, Lars, and Marcus Lindberg. "Covered Warrants : How the Implied Volatility Changes Over Time." Thesis, Jönköping University, JIBS, Business Administration, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-260.
Full textProblem: Investors are dependent on the issuers’ valuation of covered warrants because the issuers also act as market makers. Hence it is crucial that the issuers value each of the five variables used in the Black & Scholes pricing formula in the same way at both the buying and selling occasion. For a covered warrant investor the most important is-sue is the volatility and how it changes over time. This thesis will therefore search for differences in changes of implied volatility between the different issuers.
Purpose: The purpose of this thesis is to analyze differences and similarities between the issuers’ changes of their covered warrants implied volatility.
Method: The authors have calculated the implied volatility for a sample of warrants with H&M and Ericsson as underlying assets. Black & Scholes formula has been used and this part of the thesis is made with a quantitative approach. After the implied volatility had been calculated correlation tests to the mean as well as to the stock were made. When analyzing the results the authors, in addition to the calculation, used a qualitative method by interviewing market makers. This was made in order to find better explanations to the results.
Conclusions: The differences in changes of implied volatility found between different warrants were small. In general, one warrant changed in the same way as the other ones from one day to another. These results reject the rumors that single issuers adjust their implied volatility in order to make more money. When single events in form of reports were analyzed, the authors found that the issuers changed their volatility in the same way to adjust for the changed uncertainty about the stocks future price. Further, these events clarifies that the basic dynamics of implied volatility is followed by the market. The analysis of how the implied volatility changes with respect to the stock price movements indicates a negative correlation. This implies that an increase in the stock price will lower the implied volatility and vice verse.
Wang, Yan. "A Well-Posed Algorithm to Recover Implied Volatility." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-169441.
Full textBabbar, Katia Amrit. "Aspects of stochastic implied volatility in financial markets." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274925.
Full textAurell, Alexander. "The SVI implied volatility model and its calibration." Thesis, KTH, Matematisk statistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-150575.
Full textSVI-modellen är en parametrisk modell för stokastisk implicit volatilitet. Modellen är intressant då det har visat sig möjligt att ställa upp villkor på dess parametrar så att priser den genererar för köp- och säljoptioner är fria från statiskt arbitrage. För att kalibrera SVI-modellen till marknadsdata krävs olinjär optimering, vilket i en implementering kan vara tidskrävande. På senare tid har kalibreringsmetoder som använder den inneboende strukturen i SVI-modellens parametrisering för att reducera dimensionen på optimeringen tagits fram. Den här uppsatsen har två syften. Det första är att berättiga SVI-modellen och villkoren för eliminering av statiskt arbitrage. Detta görs med en genomgång av den underliggande teorin. Viktiga satser av Kellerer och Lee presenteras, bevisas och diskuteras. Det andra syftet är att konstruera en kalibreringsmetod som möjliggör anpassning av SVI-modellen till marknadsdata och implementera denna. Utfallet av två numeriska experiment validerar kalibreringsmetoden. Kalibreringsmetodens prestanda mäts i hur stor del av marknadsvolymen som SVI-modellen lyckas anpassa inom spridningen av priser på marknaden. Tester visar på att kalibreringsmetoden lyckas anpassa den största delen av priserna innanför spridningen. Vidare tester visar att kalibreringsmetoden klarar av att omkalibrera SVI-modellen så att en parametermängd som till en början ger statisk arbitrage omvärderas till en parametermängd som är fri från statiskt arbitrage.
Andersson, Hanna, and Ying Wang. "Implied volatility expansion under the generalized Heston model." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48363.
Full textLe, Thi Ngoc Quynh. "Analysing intraday implied volatility for pricing currency options." Thesis, Le, Thi Ngoc Quynh (2020) Analysing intraday implied volatility for pricing currency options. PhD thesis, Murdoch University, 2020. https://researchrepository.murdoch.edu.au/id/eprint/56979/.
Full textÖhman, Adam. "The Calibrated SSVI Method - Implied Volatility Surface Construction." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257501.
Full textI det här examensarbetet undersöks frågan om hur man bör modellera implied volatilitetsytor på ett robust och arbitragefritt sätt. För att kunna veta om lösningarna är arbigtragefria börjades arbetet med en undersökning inom arbitrageområdet. De mest heltäckande resultatet som hittades var två theorem av Roper i \cite{Roper2010}. Baserat på dessa theorem kunde två applicerbara arbitragetester skapas som sedan kom att bli en av hörnstenarna i detta arbete. Genom att undersöka de modellklasser som verkade vara de bästa inom området valdes den parametriseringsbeskrivande modellklassen. I denna klass valdes sedan SVI parametriseringsfamiljen för vidare undersökning eftersom det verkade vara den familj av modeller som hade störst potential att uppnå jämnvikt mellan enkel applikation samt bra resultat. För den klassiska SVI modellen i SVI familjen drogs slutsatsen att modellen inte var tillräcklig för att kunna rekommenderas. Detta berodde på att SVI modellen i princip alltid genererade lösningar med arbitrage i. SVI modellen genererar dock väldigt bra lösningar mot marknadsdatan enskilt och kan därför vara ett bra alternativ om man bara ska modellera ett implied volatilitetssmil. SSVI modellen ansågs däremot vara ett väldigt bra alternativ. SSVI modellen genererar komplett aribragefria lösningar men har samtidigt rimligt bra marknadspassning. För att försöka förbättra resultaten från SSVI modellen, var en kompleterande metod kallad den kalibrerade SSVI metoden skapad. Denna metod kom att förbättra marknadspassningen som SSVI modellen genererade men som resultat kom robustheten att sjunka, då interpoleringen och extrapoleringen blev svårare att genomföra arbitragefritt.
ALFINITO, GIULIO. "Interpreting the volatility surface: tools for pricing and risk management." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/652.
Full textThis dissertation is about the estimation and interpretation of volatility and correlation for the risk management of equity portfolios. In an efficient market, in which all the relevant information is shared by its participants, the prices of derivatives are in mutual relation with the consensus estimates of the probability densities of the underlying assets. The pricing of derivatives is the art of representing financial risks using prices. The aim of this work is to “go back” from prices to probabilities. The first chapter describes an original methodology for the parametric estimation of the volatility surfaces from market prices. The proposed functional specification displays the right mix of robustness and flexibility and allows to fit very accurately even surfaces for which there are few or low quality market data. The second chapter is about probability surfaces. The probability surface is put forward as a new tool for the evaluation and the management of risks related to equity portfolios. A new methodology, using Weibull distributions to fit implicit densities, is presented here. As an example, two applications are described: the pricing of digital options and the construction of coherent risk measures. The last chapter is about correlation and the estimation of volatility surfaces for baskets of stocks. A new methodology implementing Montecarlo simulation to construct the volatility surface for the basket is proposed. Implicit correlations are treated at this stage: the issue of correlation skew and term structure is analyzed in detail. The paper ends with the description and implementation of a methodology for the estimation of implicit correlations and the description of their structure.
Belchior, Diogo Francisco Ferreira. "Implied volatility as a forecast for future volatility : evidence from european market." Master's thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10866.
Full textO objetivo principal deste estudo é o de testar se a Volatilidade Implicita em instrumentos financeiros, nomeadamente Opções financeiras, é um estimador preciso da Volatilidade Futura. Os dados usados dizem respeito ao Índice Euro Stoxx 50, mais concretamente cotações de fecho e Volatilidade Implicita em opções ATM com um mês até à maturidade, o que permite conduzir uma análise ao mercado Europeu. A amostra selecionada cobre o periodo de Janeiro de 2002 a Abril de 2012. Os testes realizados permitiram-nos concluir que a Volatilidade Implicita pode ser considerada um estimador centrado e eficiente para a Volatilidade Futura e ainda, que contém mais capacidade explicativa quando comparada com a Volatilidade Histórica, o que pode ser uma indicação de Eficiência de Mercado.
The main purpose of this master thesis is test whether implied volatility is an accurate estimator for future volatility. We collect data regarding to the Euro Stoxx 50 index, namely closing index prices and implied volatility from one-month ATM options, in order to conduct an analysis of the European Market. The Sample selected covers the period from January 2002 to April 2012. The tests conducted allow us to conclude that implied volatility can be considered an unbiased and efficient estimator for future volatility and also that has more predictive ability than historical volatility, which is an indication of market efficiency.
Coleman-Fenn, Christopher Andrew. "Forecasting volatility and correlation : the role of option implied measures." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/53138/1/Christopher_Coleman-Fenn_Thesis.pdf.
Full textJoseph, Charles. "Multiscale modeling and analysis of option markets." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1396626935.
Full textBurnos, Sergey, and ChaSing Ngow. "SVI estimation of the implied volatility by Kalman filter." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-13949.
Full textTurkay, Saygun. "Market model of stochastic implied volatility and correlation stress." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405832.
Full textSkiadopoulos, George. "Modelling the dynamics of implied volatility smiles and surfaces." Thesis, University of Warwick, 1999. http://wrap.warwick.ac.uk/65194/.
Full textFONSECA, DIEGO AGUIAR. "PREDICABILITY DINAMICS IN BRAZILIAN CALL OPTIONS IMPLIED VOLATILITY SURFACES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34665@1.
Full textO The present study aims to explore predictability in temporal dynamics regarding linear models of the implied volatility surfaces estimated for Brazilian stocks options. Previous results, by usual approach of fitting linear models linking implied volatility to time to maturity and moneyness, available for each cross-section of option contracts at a point in time, as in Dumas, Fleming and Whaley (1998), suggest that estimated parameters of such models are highly unstable over time. Therefore, this approach isn t capable of replicating various IVS s shapes, contrary to the empirical evidence of implied volatility varying with options strike price and date of expiration. Based on these evidences and in Heston and Nandi (2000), that exploit the information on path-dependency in volatility contained in the spot S&P 500 index, Gonçalves e Guidolim (2006) proposed a two-stage approach to modeling and forecasting the S&P 500 index options IVS. In the second-stage they model the dynamics of the cross-sectional first-stage coefficients by means of vector autoregression models. The contribution of this work is to apply the proposed model to the reality of the Brazilian stock options, incipient in terms of liquidity and trading horizon dimensions when compared to the U.S. market, adapting criterians to validate its applicability in this context in statistical and economical sense. The results demonstrate the superiority of this approach over comparable literature, but not the ability to generate abnormal profits in the presence of transaction costs in excess of the benchmark of the risk-free rate. This indicates adaptation to the market efficiency hypothesis.
ANSELMI, GIULIO. "ESSAYS ON OPTION IMPLIED VOLATILITY RISK MEASURES FOR BANKS." Doctoral thesis, Università Cattolica del Sacro Cuore, 2016. http://hdl.handle.net/10280/10402.
Full textThe thesis comprehends three essays on option implied volatility risk measures for banks. The thesis is organized in three chapters. Chapter I - studies the informational content for banks' stock returns in option's implied volatilities skews and spread. Chapter II - analyzes the effect of volatility risk measures (volatility skew and realized volatility) on banks' leverage. Chapter III - studies the relationship between banks' liquidity ratio and volatility risk measures.
Pillay, Aveshen. "Extracting risk aversion estimates from option prices/implied volatility." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/11350.
Full textZhu, Anyi. "Implied Volatility Modelling." Thesis, 2013. http://hdl.handle.net/10012/8126.
Full textChiu, Hsin-i., and 邱馨儀. "Local Volatility Forecasts from Implied Volatility Surfaces." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/00708201689633290780.
Full text國立成功大學
財務金融研究所
95
The major objective of this paper is to investigate the predictive ability of the one-factor stochastic volatility model by extracting helpful information from the implied volatility surface. This model is compared to the GARCH (1, 1) model with respect to forecasting future realized volatility of the underlying asset. We construct the one-factor stochastic volatility model consistent with the theory of implied tree models, which are suggested by Rubinstein (1994), Dupire (1994) and Derman and Kani (1994), and apply the transformation by Kreisler (1998), in which the implied volatility function is included. We analyze the Dow Jones Industrial Average (DJIA) index options and find that the implied volatility surfaces may really exist through estimation process. In predicting the future realized volatility of the underlying asset, the evidence shows that the GARCH (1, 1) model performs better than the one-factor stochastic volatility model and the ad hoc model. Nevertheless, for a 1-week forecast horizon, the one-factor stochastic volatility model’s correlation coefficient between the realized and the forecasted volatility is much more significant than the GARCH (1, 1) model and the ad hoc model, indicating that the one-factor stochastic volatility model subsumes additional information that others do not take into account.
Schnellen, Marina. "Analysis of Implied Volatility Surfaces." Doctoral thesis, 2007. http://hdl.handle.net/11858/00-1735-0000-000D-F225-7.
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