Local volatility model applied to BIST30 european warrants: pricing and hedging

2016
Kirazoğlu, Zekiye Sıla
One of the basic observations on pricing options is that the assumption of constant volatility does not agree with data and market price data gives a volatility smile that depends on maturities and strike prices. The first model that developed to be compatible with this observation is the local volatility model. The purpose of this work is to study the performance of the local volatility model on BIST30 warrants and compare it to the standard Black Scholes model. To estimate the local volatility model from data two approaches are used: 1) we estimate the local volatility directly from the underlying data (in this approach we make two assumptions: a) the local volatility depends only on the price of the underlying b) the local volatility is a piecewise linear function) 2)first a Heston model is fit to option prices and we use Dupire’s formula to derive the implied local volatiliy model.  

Suggestions

How does the stock market volatility change after inception of futures trading?
Esen, İnci; Danışoğlu, Seza; Department of Financial Mathematics (2007)
As the trading volume in TURKDEX, the first and only options and futures exchange in Turkey, increases, it becomes more important to have an understanding of the effect of stock index futures trading on the underlying spot market volatility. In this respect, this thesis analyzes the effect of ISE-National 30 index futures contract trading on the underlying stocks’ volatility. In this thesis, spot portfolio volatility is decomposed into two components and this decomposition is applied to a single-factor retu...
Cross sectional determinants of Turkish stock market returns
Çeliker, Umut; Rhoades, Seza; Department of Business Administration (2004)
This thesis analyzes the relationship between stock returns and firm-specific characteristics including market beta, size, book-to-market ratio, leverage, earnings yield, net sales-to-price ratio and prior return performance in Istanbul Stock Exchange during the period 1993-2003. Moreover, the predictability of some macroeconomic variables based on the stock market return behavior is investigated.
Applications of the heston model on BIST30 warrants : hedging and pricing
Mert, Özenç Murat; Sezer, Ali Devin; Department of Financial Mathematics (2016)
The Heston model is one of the first and known stochastic volatility models. The aim of this work is to study the performance of the Heston Model on pricing and hedging the warrants written on BIST30 and the compatibility between the observation of the Heston Model in the literature and BIST30 data.
Stock market liquidity analysis: evidence from the İstanbul Stock Exchange
Özdemir, Duygu; Gaygısız Lajunen, Esma; Department of Economics (2011)
The purpose of this thesis is to identify the factors playing a key role in the determination of the Turkish stock market liquidity in aggregate terms in a time series context and discuss the joint dynamics of the market-wide liquidity with its selected determinants and the trade volume. The main determinants tested are the level of return, the return volatility and the monetary stance of the Central Bank of the Republic of Turkey. The expected positive relationship between the liquidity and the return is c...
Application of r-vine copula method in Istanbul stock market data: A case study for the construction sector
Farnoudkia, Hajar; Purutçuoğlu Gazi, Vilda (Ankara Yıldırım Beyazıt Üniversitesi , 2020-12-01)
In the stock market, the relationship between the sectorial changes can be very informative in order to predict the changes in prices of assets from each sector. In order to understand these sectorial relations, various studies have been conducted. In one of the recent studies, the construction sector in Turkey was investigated in terms of its effect in other Turkish sectors since it is one of the leading sectors in Turkey and its assets have a significant impact in stock markets. Hereby, in this study we d...
Citation Formats
Z. S. Kirazoğlu, “Local volatility model applied to BIST30 european warrants: pricing and hedging,” M.S. - Master of Science, Middle East Technical University, 2016.