employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing …

autoregressive processes revealing time-varying stochastic volatility. The factor volatilities capture risk inherent to the term … additional determinants of future excess returns. Finally, we illustrate that the yield and volatility factors are closely …

, especially on the BS implied volatility. Implied binomialtrees (IBT) models capture the variations of the implied volatility … known as \volatility smile". They provide a discrete approximation to the continuous risk neutral process for the underlying … Barle and Cakici (BC). After the formation of IBT we can estimate the implied local volatility and thestate price density …

Implied volatility is one of the key issues in modern quantitative finance, since plain vanilla option prices contain … yield low dimensional representations of the implied volatility surface (IVS). We discussestimation issues of the model and …

implied volatilities (IV) plays an important role, since volatility is the crucial parameter in the Black-Scholes (BS) pricing … known as volatility smiles or smirks that contradict the assumption of constant volatility in the BS pricing model. On the …

option prices. But some of its assumptions, like constant volatility or log-normal distribution of asset prices,do not find … implied volatility surface. To overcome this problem Carr and Madan (1999) developed a fast method to compute option prices …

In this study we forecast the term structure of FIBOR/EURIBOR swap rates by means of recursive vector autoregressive … and curvature of the swap term structure, we rely on measures of both statistical and economic performance. Whereas the …

for options on realized variance. We consider the popular Heston model, reparametrize its variance swap price formula and … model the entire variance swap curves by two exponential factors whose loadings evolve dynamically on a weekly basis …